21 datasets found
  1. s

    Data for paper 'Generalized stress-strain curves for IBII tests on isotropic...

    • eprints.soton.ac.uk
    Updated May 3, 2019
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    Fletcher, Lloyd; Pierron, Fabrice (2019). Data for paper 'Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials' [Dataset]. http://doi.org/10.5258/SOTON/D0915
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    Dataset updated
    May 3, 2019
    Dataset provided by
    University of Southampton
    Authors
    Fletcher, Lloyd; Pierron, Fabrice
    Description

    This data set contains the finite element generated data necessary to validate the generalized stress-strain curves. It supports the paper: Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials F. Pierron, L. Fletcher Journal of the Dynamic Behaviour of Materials, 2019 DOI: 10.1007/s40870-019-00197-9

  2. M

    Tensile strength of cryo-thermal treated composites

    • datasetcatalog.nlm.nih.gov
    • data.mendeley.com
    Updated Oct 28, 2023
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    孙, 正 (2023). Tensile strength of cryo-thermal treated composites [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001440691
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    Dataset updated
    Oct 28, 2023
    Authors
    孙, 正
    Description

    Raw data of tensile stress-strain curves at 25 ℃ and 170 ℃ of unsized SCF/PEI and CNT-PDA@SCF/PEI composites; Raw data of tensile stress-strain curves at 25 ℃ of PEI with different CTC numbers.; Raw data of tensile stress-strain curves at 25 ℃ of PEI with CTC, TC and CC treatments Raw data of tensile stress-strain curves at 170 ℃ of PEI before and after the CTC treatment.

  3. D

    Tensile Test of Epoxy Resin Reinforced with Oil Shale Ash

    • dv.dataverse.lv
    tsv, txt
    Updated Oct 20, 2025
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    Olga Kononova; Olga Kononova (2025). Tensile Test of Epoxy Resin Reinforced with Oil Shale Ash [Dataset]. http://doi.org/10.71782/DATA/EXORM9
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    tsv(125659), txt(2862)Available download formats
    Dataset updated
    Oct 20, 2025
    Dataset provided by
    DataverseLV
    Authors
    Olga Kononova; Olga Kononova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains results of tensile (tension) testing performed on epoxy resin specimens reinforced with oil shale ash (OSA), which is an industrial by-product explored as a sustainable additive for improving concrete performance and reducing environmental impact. The tests were conducted to investigate the effect of OSA addition on the stress-strain behavior of the composite material. The data include measured strain and corresponding stress values (in Pa) for a particular material composition and sample number given below. Epoxy Resin: 0% Oil Shale Ash (by weight) - Material 1 Samples 1-3 Epoxy Resin: 10% Oil Shale Ash (by weight) - Material 2 Samples 1-7 Epoxy Resin: 20% Oil Shale Ash (by weight) - Material 3 Samples 1-7 Epoxy Resin: 30% Oil Shale Ash (by weight) - Material 4 Samples 1-7 Epoxy Resin: 40% Oil Shale Ash (by weight) - Material 5 Samples 1-7 Epoxy Resin: 50% Oil Shale Ash (by weight) - Material 6 Samples 1-4

  4. f

    Stress-strain curves of uniaxial tension test subjected to quasi-static...

    • figshare.com
    xlsx
    Updated Dec 23, 2021
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    José Israel Martínez López; Josué García Ávila; Erick Ramirez Cedillo; Adriana Vargas Martínez; Ciro A. Rodriguez Gonzalez (2021). Stress-strain curves of uniaxial tension test subjected to quasi-static axial loads of RTV-2 material [Dataset]. http://doi.org/10.6084/m9.figshare.17430608.v1
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    xlsxAvailable download formats
    Dataset updated
    Dec 23, 2021
    Dataset provided by
    figshare
    Authors
    José Israel Martínez López; Josué García Ávila; Erick Ramirez Cedillo; Adriana Vargas Martínez; Ciro A. Rodriguez Gonzalez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Stress-strain curves of uniaxial tension test subjected to quasi-static axial loads of RTV-2 material. Please refer to "E-Skin Development and Prototyping via Soft Tooling and Composites with Silicone Rubber and Carbon Nanotubes" on Materials (MDPI) for details.

  5. D

    Compression Test of Concrete Reinforced with Oil Shale Ash

    • dv.dataverse.lv
    tsv, txt
    Updated Oct 20, 2025
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    Olga Kononova; Olga Kononova (2025). Compression Test of Concrete Reinforced with Oil Shale Ash [Dataset]. http://doi.org/10.71782/DATA/LCTP9B
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    txt(3450), tsv(966)Available download formats
    Dataset updated
    Oct 20, 2025
    Dataset provided by
    DataverseLV
    Authors
    Olga Kononova; Olga Kononova
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains results of compressive strength tests conducted on several concrete mixtures reinforced with oil shale ash (OSA), which is an industrial by-product explored as a sustainable additive for improving concrete performance and reducing environmental impact. The data include averaged compression strength values (in MPa) for different material variants tested under controlled laboratory conditions at Riga Technical University. Each entry represents a test result for a particular material composition and sample number given below. Concrete A: 0% Oil Shale Ash (by weight) - Material 1 Sample 1-8 Concrete A: 25% Oil Shale Ash (by weight) - Material 2 Sample 1-4 Concrete A: 30% Oil Shale Ash (by weight) - Material 3 Sample 1-3 Concrete B: 0% Oil Shale Ash (by weight) - Material 4 Sample 1-4 Concrete B: 10% Oil Shale Ash (by weight) - Material 5 Sample 1-5 Concrete B: 25% Oil Shale Ash (by weight) - Material 6 Sample 1-4 Concrete B: 30% Oil Shale Ash (by weight) - Material 7 Sample 1-5 Concrete B: 35% Oil Shale Ash (by weight) - Material 8 Sample 1-3 Concrete C: 0% Oil Shale Ash (by weight) - Material 9 Sample 1-6 Concrete C: 10% Oil Shale Ash (by weight) - Material 10 Sample 1-7 Concrete C: 15% Oil Shale Ash (by weight) - Material 11 Sample 1-7 Concrete C: 20% Oil Shale Ash (by weight) - Material 12 Sample 1-7 Concrete C: 25% Oil Shale Ash (by weight) - Material 13 Sample 1-7 Concrete C: 30% Oil Shale Ash (by weight) - Material 14 Sample 1-7 Concrete C: 35% Oil Shale Ash (by weight) - Material 15 Sample 1-7

  6. S1 Table -

    • figshare.com
    • plos.figshare.com
    xlsx
    Updated Jan 24, 2024
    + more versions
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    Lifang Mei; Dali Xiang; Yiwen Huang (2024). S1 Table - [Dataset]. http://doi.org/10.1371/journal.pone.0297372.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lifang Mei; Dali Xiang; Yiwen Huang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Expanded polystyrene (EPS) bead lightweight soil composites are a new type of artificial geotechnical material with low density and high strength characteristics that can be widely used in engineering projects. To promote the wide application of EPS bead lightweight soil in engineering, when slag is used to replace part of the cement as a binding agent, it can better improve the effect of soil and reduce engineering costs. The mechanical properties of EPS lightweight soil mixed with slag were analyzed by conducting an unconfined compressive strength (UCS) test and triaxial test on lightweight soil with different EPS bead contents and slag contents. The particle sizes of the EPS beads are 1~3 mm, the EPS contents are 1%, 2%, 3%, and 4%, and the slag-cement composite binding agents are 10%, 15%, 20% and 25%. The results show that the UCS decreases significantly with increasing EPS bead content at different EPS bead contents and slag contents; the UCS of the specimen with 30% slag content is the largest; and the UCS of lightweight soil without slag is comparable to that of lightweight soil with a slag content of approximately 60%. The peak stress in triaxial increases with increasing confining pressure, and the modulus of deformation decreases linearly with increasing EPS bead content. the slag-cement composite binding agent has a significantly better reinforcing effect than single mixed cement. The stress‒strain curves of EPS lightweight soil mixed with slag exhibits hardening and softening characteristics. EPS bead content and slag content determine the stress‒strain characteristics of the EPS lightweight soil mixed with slag. The macromechanical properties based on the microscopic mechanism of the EPS lightweight soil mixed with slag shows that different slag contents affect the failure pattern of EPS lightweight soil mixed with slag. The research results can provide a reference for engineering design and application.

  7. m

    Dynamic tensile CFRP AP-PLY data

    • data.mendeley.com
    • datasetcatalog.nlm.nih.gov
    Updated Sep 23, 2022
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    Rutger Kok (2022). Dynamic tensile CFRP AP-PLY data [Dataset]. http://doi.org/10.17632/6p62jgsmnm.1
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    Dataset updated
    Sep 23, 2022
    Authors
    Rutger Kok
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dynamic tensile test data from experiments conducted on carbon fiber epoxy AP-PLY composites. A paper with a complete description of the data collection process is under review. This description will be updated with a link to the paper in due time.

    RESEARCH AIMS Quasi-isotropic [0, 45, 90, -45]4S and cross-ply [0, 90]12S laminates with conventional or AP-PLY configurations were tested to failure under dynamic tensile loading using a split-Hopkinson bar, to investigate the effect of the AP-PLY architecture on the in-plane mechanical properties of the laminates (specifically longitudinal modulus and strength).

    TESTING PROCEDURE Laminates were manufactured using SHD Composites VTC401 unidirectional prepregs (VTC401-UD300-T700-24K-36%RW-600P SHD1579-600P). Laminates were laid up by hand, and subsequently cured in a hot press at 110 degrees centigrade at a pressure of 4 bar. Dogbone shaped specimens were extracted using CNC milling. Four holes were drilled into the ends of each specimen to allow them to be clamped in the split-Hopkinson bar grips. Aluminium end tabs were adhered to the specimens using epoxy adhesives (Araldite 2021 and Permabond ET5428). Specimens dimensions are illustrated in the "specimen_dimensions.pdf" included with the data.

    Testing was conducted at the European Commission's Joint Research Center, specifically, the European Lab for Structural Analysis HopLab (https://joint-research-centre.ec.europa.eu/laboratories-and-facilities/european-laboratory-structural-assessment-large-hopkinson-bar-facility-elsa-hoplab_en). Specimens were loaded to failure at strain rates of ~30s-1 using an extremely large split Hopkinson bar. Strains were recorded using 2D digital image correlation, forces were obtained from transducers in the SHB.

    DATA FORMAT Data is provided in .csv format. "QI" is used to indicate a quasi-isotropic laminate with 0, 45, 90, and -45 degree fiber orientations. "XP" denotes cross-ply laminates containing only 0 and 90 degree plies. Filenames containing "_AP_PLY" refer to specimens with an AP-PLY quasi-woven internal architecture. Filenames containing "_BASE" refer to baseline, non AP-PLY specimens.

    Column headings are: index (-), Time (s), Strain (-), Stress (MPa)

  8. S

    Dataset for strain-rate-dependent tensile behaviour of additively...

    • scidb.cn
    Updated Jun 30, 2026
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    Zizhao Peng; Yuqi Wang; Yvonne Durandet; Antonella Sola; Adrian Trinchi; Dong Ruan (2026). Dataset for strain-rate-dependent tensile behaviour of additively manufactured continuous carbon fibre-reinforced Onyx composites [Dataset]. http://doi.org/10.57760/sciencedb.j00145.00068
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 30, 2026
    Dataset provided by
    Science Data Bank
    Authors
    Zizhao Peng; Yuqi Wang; Yvonne Durandet; Antonella Sola; Adrian Trinchi; Dong Ruan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset supports the manuscript entitled “Strain-rate-dependent tensile behaviour of additively manufactured continuous carbon fibre-reinforced Onyx composites”. The files include raw and processed tensile test data for neat Onyx and continuous carbon fibre-reinforced Onyx composites (CFF/Onyx) tested at strain rates of 4.2 × 10⁻⁴ s⁻¹, 1 s⁻¹ and 100 s⁻¹. The raw data contain the original experimental and calculated stress and strain data, while the processed data contain the stress and strain data tested at the strain rate of 100 s⁻¹ after the Fast Fourier Transform (FFT) and Adjacent Averaging (AAv) tool in OriginPro for plotting smooth stress-strain curves under dynamic tensile testing.

  9. L

    Incremental mean-fields micromechanics scheme for non-linear response of...

    • lore.list.lu
    Updated Jul 6, 2026
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    A. Tchalla; W. L. Azoti; Y. Koutsawa; A. Makradi; S. Belouettar; H. Zahrouni (2026). Incremental mean-fields micromechanics scheme for non-linear response of ductile damaged composite materials [* Cross-Reference *] [Dataset]. https://lore.list.lu/dataset.xhtml?persistentId=perma:LIST.FHPXRZ
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 6, 2026
    Dataset provided by
    LIST Open Repository
    Authors
    A. Tchalla; W. L. Azoti; Y. Koutsawa; A. Makradi; S. Belouettar; H. Zahrouni
    License

    https://lore.list.lu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=perma:LIST.FHPXRZhttps://lore.list.lu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=perma:LIST.FHPXRZ

    Dataset funded by
    Fonds National de la Recherche Luxembourg
    Description

    This work is concerned with the modeling of ductile damage behavior in composite materials by the means of the Incremental Micromechanics Scheme (IMS) as Mean-Fields Homogenization (MFH) technique. Indeed, IMS is known for its capability to overcome the well-known accuracy restrictions of the Mori-Tanaka (MT) and Self-Consistent (SC) schemes when a high volume fraction of heterogeneities or/and a high contrast between phases properties is reached. This micromechanics formalism is based on the Eshelby's inclusion concept. The kinematic equation of Dederichs and Zeller (1973) is used as formal solution of the heterogeneous material problem. The nonlinear behavior of the composite is addressed in a general framework based on the kinematic hardening of Lemaître-Chaboche's ductile damage model. Thus a classical J2 plasticity that accounts for the damage evolution within the microstructure is implemented. The time discretization of all rate relations is solved through a generalized mid-point rule that yields to an anisotropic consistent (algorithmic) tangent modulus. To avoid a stiffer macroscopic stress-strain response, an isotropization procedure is adopted during the computation of the Eshelby tensor involved in the IMS modeling. From a computational aspect, the non linear response of the composite is obtained through two interdependent loops: inner and outer. In the inner loop, the IMS determines the global strain concentration tensor that is passed to the outer loop. Then, the macroscopic stress-strain response is derived using an iterative algorithm based on the Hill-type incremental formulation. Numerical results are obtained considering several heterogeneous materials such as Metal Matrix Composites (MMCs) as well as Carbon fibers reinforced Epoxy Matrix Composites. The model's predictions are compared in most of the cases, with experimental data and predictions obtained from MT-based modeling in the open literature. This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1016/j.compositesb.2014.08.055 for the original and latest version of the dataset and data downloads

  10. S

    Dataset on Effect of Si content on microstructure and compressive properties...

    • scidb.cn
    Updated Sep 13, 2024
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    Jiaan Liu (2024). Dataset on Effect of Si content on microstructure and compressive properties of open cell Mg composite foams reinforced by in-situ Mg2Si compounds [Dataset]. http://doi.org/10.57760/sciencedb.13334
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    Science Data Bank
    Authors
    Jiaan Liu
    Description

    Optical microscope (OM, MDJ-DM) and scanning electron micro scopy (SEM, EVO-18 ZEISS and VEGA3 TESCAN) were utilized for observing the microstructure of the Mg foams. Energy-dispersive X-ray spectroscopy (EDS, Model Link-Isis and INCA Oxford) and X-ray dif fraction (XRD, D/Max2500) were carried out to identify the chemical components and compositions of the foams. To check the fracture mechanism of the foams, the fracture surface of the foams was observed after the specimens were suffered the strain of about 0.3. In this in vestigation, the external fractured struts of the foams were used to observe the fracture morphology. Quasi-static compressive test was conducted to assess the com pressive properties of the foam samples with an equivalent porosity of ~67% by using universal test machine with the strain ate of 10−3/s at room temperature. At least three samples for each chemical component were performed in the compressive test, and the average data was employed. The average data were used to draw the stress-strain curves.

  11. f

    Data from: Mechanical, physical and chemical characterisation of...

    • datasetcatalog.nlm.nih.gov
    • data.mendeley.com
    Updated Jul 22, 2019
    + more versions
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    Vandelook, Simon; De Laet, Lars; Brancart, Joost; Peeters, Eveline; Elsacker, Elise (2019). Mechanical, physical and chemical characterisation of mycelium-based composites with different types of lignocellulosic substrates [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000091273
    Explore at:
    Dataset updated
    Jul 22, 2019
    Authors
    Vandelook, Simon; De Laet, Lars; Brancart, Joost; Peeters, Eveline; Elsacker, Elise
    Description

    The current physical goods economy produces materials by extracting finite valuable resources without taking their end of the life and environmental impact into account. Mycelium-based materials offer an alternative fabrication paradigm, based on the growth of materials rather than on extraction. Agricultural residue fibres are inoculated with fungal mycelium, which form an interwoven three-dimensional filamentous network binding the feedstock into a lightweight material. The mycelium-based material is heat-killed after the growing process. In this paper, we investigate the production process, the mechanical, physical and chemical properties of mycelium-based composites made with different types of lignocellulosic reinforcement fibres combined with a white rot fungus, Trametes versicolor. This is the first study reporting the dry density, the Young’s modulus, the compressive stiffness, the stress-strain curves, the thermal conductivity, the water absorption rate and a FTIR analyse of mycelium-based composites by making use of a fully disclosed protocol with T. versicolor and five different type of fibres (hemp, flax, flax waste, softwood, straw) and fibre processings (loose, chopped, dust, pre-compressed and tow). The thermal conductivity and water absorption coefficient of the mycelium composites with flax, hemp, and straw have an overall good insulation behaviour in all the aspects compared to conventional materials such as rock wool, glass wool and extruded polystyrene. The conducted tests reveal that the mechanical performance of the mycelium-based composites depends more on the fibre processing (loose, chopped, pre-compressed, and tow), and size than on the chemical composition of the fibres. These experimental results show that mycelium-composites can fulfil the requirements of thermal insulation and have the potential to replace fosile-based composites. The methology used to evaluate the suitability and selection of organic waste-streams proved to be effective for the mycelium-material manufacturing applications.

  12. Data from: Dynamic compressive behavior in different loading directions of...

    • scielo.figshare.com
    jpg
    Updated May 30, 2023
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    Zhenhua ZHAO; Lulu LIU; Wei CHEN; Xiong HUANG (2023). Dynamic compressive behavior in different loading directions of 3D braided composites with different braiding angle [Dataset]. http://doi.org/10.6084/m9.figshare.7020005.v1
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    jpgAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Zhenhua ZHAO; Lulu LIU; Wei CHEN; Xiong HUANG
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract Dynamic compressive tests of 3D braided composites with different braiding angle were carried out in the longitudinal, transverse and thickness directions respectively using the Split Hopkinson pressure bar (SHPB). The results show that the compressive properties present obvious strain rate strengthening effects in all directions. The 20° and 45° braided composite are most sensitive to strain rates in the longitudinal direction. The composites present the features of brittle failure at high strain rates, especially in the longitudinal direction. The composites with larger braiding angle have weaker mechanical properties in the longitudinal and transverse directions but stronger mechanical properties in the through-thickness direction. The braid angle has the greatest impact on the longitudinal mechanical properties. The compressive stress-strain curves in the thickness direction were similar to the hysteresis curve for both the 30° and 45° braided composites. The compressive failure modes vary with the loading directions and strain rate.

  13. m

    Based on interfacial strategy and topological design: simulation...

    • archive.materialscloud.org
    bin, zip
    Updated Aug 12, 2025
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    Chaofan He; Chaofan He; Bo Xu; Xin Li; Bo Xu; Xin Li (2025). Based on interfacial strategy and topological design: simulation optimization of carbon nanomaterial reinforced PVA fibers [Dataset]. http://doi.org/10.24435/materialscloud:60-my
    Explore at:
    zip, binAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset provided by
    Materials Cloud
    Authors
    Chaofan He; Chaofan He; Bo Xu; Xin Li; Bo Xu; Xin Li
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In the "design-simulation-preparation-characterization" research framework for carbon nanomaterial-reinforced polyvinyl alcohol (PVA) composite fibers, molecular dynamics (MD) simulations play a core role. Using Materials Studio 2023 and LAMMPS, oriented composite models of carbon nanotubes (CNT), graphene (GN) with PVA, along with pure PVA control models, were constructed. Simulations included geometric optimization, NPT dynamic processes, and annealing treatments, followed by calculations of mechanical properties (Young's modulus, shear modulus, density) and Z-direction stress-strain curves. Confined shear simulations mimicked shear-stretching in wet spinning, with relative concentration (RC) analysis to evaluate defect formation, while cohesive energy density (CED) analysis assessed composite compatibility. These simulations guided experimental design (e.g., selecting functionalized GO and CNT via CED results), validated experimental observations through stress-strain curve comparisons, revealed reinforcement mechanisms (carbon nanomaterials regulate stress transfer, reduce defects, and promote PVA crystallization), and established a "simulation-guided, experiment-validated" research framework, providing theoretical tools and methodological references for interface engineering in polymer nanocomposites.

  14. Images and data accompanying article: Remarkable response of hollow...

    • zenodo.org
    bin, zip
    Updated Apr 2, 2022
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    CORET Michel; CORET Michel; VERRON Erwan; VERRON Erwan; RUBLON Pierre; RUBLON Pierre (2022). Images and data accompanying article: Remarkable response of hollow thermoplastic microspheres-elastomer matrix composites in uniaxial tension. [Dataset]. http://doi.org/10.5281/zenodo.6390478
    Explore at:
    zip, binAvailable download formats
    Dataset updated
    Apr 2, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    CORET Michel; CORET Michel; VERRON Erwan; VERRON Erwan; RUBLON Pierre; RUBLON Pierre
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Images and data accompanying article:
    Remarkable response of hollow thermoplastic microspheres-elastomer matrix composites in uniaxial tension.*

    By Michel Coret, Erwan Verron & Pierre Rublon
    (https://hal.archives-ouvertes.fr/hal-03480982)


    Abstract of the article
    In the last few years, the mechanical response of hollow thermoplastic micro-spheres-elastomer matrix composites has been investigated. The large majority of the studies focuses on their compressive properties and particularly on the stress-strain response. In the present paper, large strain uniaxial tension experiments are conducted on thermoplastic microspheres filled polyurethane elastomer. Six volume fractions of microspheres are considered. Thanks to a two-camera setup and digital image correlation measurements, the volumetric response of the materials is extensively analyzed. As a major result, the remarkable volumetric behaviour is highlighted: the hydrostatic pressure vs. volume change curves admit several extrema that may be read as the macroscopic signature of the complex microstructural phenomena involved during deformation. Moreover, it is shown that the size of the volumetric loading-unloading hysteresis loop is directly related to the volume fraction of microspheres in the materials.
    Experimental test methodology is described within the article. The objective of the deposit is to share data.

    Description of the deposit
    Objectives:

    The objective of this deposit is to share all the data needed to retrieve the results presented in the article (https://hal.archives-ouvertes.fr/hal-03480982). This deposit do not explain any experimental methodology, that can be found in the article.

    Data overview:

    1. The images taken during the tests (raw data)
    2. Force and displacement measured by the tensile machine (raw data).
    3. Surface strain field on face and lateral sides of the tensile specimen (obtain by Digital Image Correlation)
    4. Averaged and filtered

    Data description:
    1. Image directories: "YY/MM/DD_poro_xx_spec_nn"

    • YY/MM/DD: date of the test
    • xx: specimen porosity (can be one of these values [0, 05, 10, 15, 20, 25] in %)
    • nn: Specimen number

    In each directory you will find:

    • YY/MM/DD_poro_xx_spec_nn-aaaaa_0.tif (face side *aaaaa* image)
    • YY/MM/DD_poro_xx_spec_nn-bbbbb_1.tif (lateral side *bbbbb* image
    • YY/MM/DD_poro_xx_spec_nn.csv (Synchronized analogic data with images)
      • Column A: Image n°
      • Columns B & C: Image file name
      • Columns D & E: Timestamp
      • Columns F & G: Analog data (Volts)
      • Column H: Position of the jack (millimeter)
      • Column I: Measured force (N)

    2. Scalar data directory: Data_csv/

    • DIC: strain average results from digital image correlation on face side (axis xy) and lateral side (axis yz)
      • Column A: Image n°
      • Column B, C, D (Hencky strains): exx, eyy & exy
      • Column E, F (Hencky eigen strains): e1 & e2

    • Machine: displacement and force from tensile machine for each image
      • Column A: Image n°
      • Columns B & C: Image file name
      • Columns D & E: Timestamp
      • Columns F & G: Analog data (Volts)
      • Column H: Position of the jack (millimeter)
      • Column I: Measured force (N)

    • Post: Average + smoothed data for each porosities
      • Column A: Longitudinal stretch \(\lambda\)
      • Column B: Nominal stress P
      • Column C: Lateral stretch ratio \(\lambda_w=\lambda_t\)
  15. F1 Driver Stress: Biometrics, Vibrations & Jet Lag

    • kaggle.com
    zip
    Updated Mar 18, 2026
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    ActarusLab (2026). F1 Driver Stress: Biometrics, Vibrations & Jet Lag [Dataset]. https://www.kaggle.com/datasets/igormerlinicomposer/f1-driver-stress-biometrics-vibrations-and-jet-lag/code
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    zip(34046225 bytes)Available download formats
    Dataset updated
    Mar 18, 2026
    Authors
    ActarusLab
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    🏎️ Overview

    This dataset provides a high-resolution synthetic simulation of physiological and mechanical stress experienced by Formula 1 drivers throughout a Grand Prix weekend.

    It contains 500,000 observations, combining vehicle telemetry (vibration, lateral G-forces) with human biometrics (heart rate, core temperature) to model driver strain under competitive conditions.

    The dataset is specifically designed for advanced predictive modeling and feature attribution, enabling the analysis of how mechanical load and environmental factors impact driver fatigue.

    📊 Features & Variables

    The dataset integrates four key dimensions of performance:

    1. Biometrics

    Heart_Rate_BPM → simulated cardiovascular response to physical exertion

    Body_Temp_C → thermoregulatory response influenced by workload and ambient conditions

    1. Mechanical Load

    Vibration_Hz → chassis-induced stress across sessions

    G_Force_Lat → lateral acceleration experienced during cornering

    1. Environmental & Logistical Factors

    Ambient_Temp_C → external temperature conditions

    Track_Temp_C → surface temperature affecting physical strain

    Jet_Lag_Index → fatigue induced by travel across time zones

    Stint_Lap → progressive fatigue accumulation within a race stint

    1. Target Variable

    Stress_Score ∈ [0,1] A normalized composite index representing overall driver strain, derived from physiological and mechanical inputs.

    🛠️ Data Science Use Cases

    This dataset is well-suited for:

    Regression Modeling Predict driver stress levels from telemetry and biometric signals

    Feature Importance & Explainability Identify dominant stress drivers (e.g., G-forces vs thermal load vs jet lag)

    Classification Tasks Segment laps or stints into physiological risk categories (e.g., high vs low stress)

    Time-Series Analysis Model stress evolution across race stints and simulate fatigue accumulation

    Simulation & Scenario Testing Evaluate how changes in track temperature or travel load impact performance

    ⚖️ Methodology

    The dataset is generated using domain-informed rules inspired by motorsport dynamics:

    Mechanical Stress Scaling Vibration levels increase during competitive sessions (Qualifying, Race)

    Physiological Response Modeling Body temperature is correlated with heart rate through an exertional heat model

    Environmental Impact Track and ambient temperatures directly influence thermal strain

    Travel Fatigue Jet_Lag_Index is weighted based on long-haul circuits (e.g., fly-away races)

    Fatigue Accumulation Stress increases progressively with Stint_Lap

    ⚠️ Disclaimer

    This is a synthetic dataset generated for research and educational purposes. While inspired by real-world dynamics, it does not represent actual telemetry or biometric data from Formula 1 teams.

    📄 License

    CC BY-SA 4.0 (Attribution-ShareAlike)

  16. f

    Data_Sheet_1_Fused Filament Fabrication of Piezoresistive Carbon Nanotubes...

    • frontiersin.figshare.com
    pdf
    Updated May 30, 2023
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    Sithiprumnea Dul; Alessandro Pegoretti; Luca Fambri (2023). Data_Sheet_1_Fused Filament Fabrication of Piezoresistive Carbon Nanotubes Nanocomposites for Strain Monitoring.PDF [Dataset]. http://doi.org/10.3389/fmats.2020.00012.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Sithiprumnea Dul; Alessandro Pegoretti; Luca Fambri
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Conductive carbon nanotubes (CNT)/acrylonitrile butadiene styrene (ABS) nanocomposites parts were easily and successfully manufactured by fused filament fabrication (FFF) starting from composite filaments properly extruded at a laboratory scale. Specific specimens for strain monitoring application were properly evaluated in both short term and long term mechanical testing. In particular, samples of ABS filled with 6 wt.% of CNT were additively manufactured in two different infill patterns: HC (0°/0°) and H45 (−45°/+45°). The piezoresistivity behavior was investigated under various loading conditions such as ramp tensile tests at different rate and extension, and also creep and cyclic loading at room temperature. Experimental work revealed that the resistance changes in the conductive samples were properly detectable during stress or strain modification, as consequence of damage and/or reassembling of the percolation network. The measurement of the gauge factor in various testing conditions evidenced an initial higher sensitivity of the 3D-built parts within H45 pattern in comparison to the correspondent HC counterparts. The CNT conductive network path in the investigated samples seems to be reformed during creep and cycling experiments, showing a progressive reduction of gauge factor that seems to stabilize at about 2.5 for both HC and H45 samples after long term testing. These findings suggest that conductive CNT/ABS nanocomposites at 6 wt.% of loading can be successfully processed by FFF to produce stable strain sensors in the range −25° and +60°C, as confirmed by the constancy of resistivity in these temperatures.

  17. f

    Data from: Two-Dimensional Numerical Model of the Fracture Process in Steel...

    • scielo.figshare.com
    jpg
    Updated Jun 1, 2023
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    Fabián Augusto Lamus; Dorian Luis Linero; Rubén Darío Guevara (2023). Two-Dimensional Numerical Model of the Fracture Process in Steel Fibre Reinforced Concrete with the Continuum Strong Discontinuity Approach and Functional Data Analysis [Dataset]. http://doi.org/10.6084/m9.figshare.7974797.v1
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    jpgAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Fabián Augusto Lamus; Dorian Luis Linero; Rubén Darío Guevara
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract This paper presents the formulation of a two-dimensional numeri-cal model able to describe the fracture process in structural mem-bers of steel fibre reinforced concrete (SFRC) from the volume ratio of the fibres and the mechanical properties of the compo-nents: a concrete matrix and a set of steel fibres with a random orientation. The relationship between the stress and the strain fields of the composite material is obtained using the mixture theory with a compatibility strain of its component materials. The concrete matrix is represented with a scalar damage constitutive model with a softening strain and a different strength in tension and compression. The mechanical strain of an insulated fibre and the slip between the fibre and the matrix are simultaneously de-scribed with a one-dimensional plasticity constitutive model. The cracking of the composite material indicates a jump in the dis-placement field and non-bounded values of the strain field, which are represented by the Continuum Strong Discontinuity Ap-proach. The model has been implemented in the framework of the nonlinear analysis with the Finite Element Method, using con-stant strain triangular elements. Moreover, the fibres distribution and orientation change randomly in each finite element and each simulation or observation. The structural responses of the simula-tions are treated as curves and analysed by tools from the Func-tional Data Analysis. Confidence intervals for the structural re-sponse are built using bootstrap methodology. Finally, experi-mental tests of SFRC members subjected to tension and bending are simulated. The structural response and the cracking patterns obtained from the numerical simulation are satisfactory.

  18. F

    Data from: The primary data.

    • datasetcatalog.nlm.nih.gov
    Updated May 14, 2024
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    Huang, Yizhe; Duan, Xueliang; Wang, Jun; Zhang, Zhifu; Shi, Yuanyuan; Huang, Bin; Xu, Enyong (2024). The primary data. [Dataset]. http://doi.org/10.1371/journal.pone.0302729.s002
    Explore at:
    Dataset updated
    May 14, 2024
    Authors
    Huang, Yizhe; Duan, Xueliang; Wang, Jun; Zhang, Zhifu; Shi, Yuanyuan; Huang, Bin; Xu, Enyong
    Description

    The constitutive model and modulus parameter equivalence of shape memory alloy composites (SMAC) serve as the foundation for the structural dynamic modeling of composite materials, which has a direct impact on the dynamic characteristics and modeling accuracy of SMAC. This article proposes a homogenization method for SMA composites considering interfacial phases, models the interface stress transfer of three-phase cylinders physically, and derives the axial and shear stresses of SMA fiber phase, interfacial phase, and matrix phase mathematically. The homogenization method and stress expression were then used to determine the macroscopic effective modulus of SMAC as well as the stress characteristics of the fiber phase and interface phase of SMA. The findings demonstrate the significance of volume fraction and tensile pre-strain in stress transfer between the fiber phase and interface phase at high temperatures. The maximum axial stress in the fiber phase is 705.05 MPa when the SMA is fully austenitic and the pre-strain increases to 5%. At 10% volume fraction of SMA, the fiber phase’s maximum axial stress can reach 1000 MPa. Ultimately, an experimental verification of the theoretical calculation method’s accuracy for the effective modulus of SMAC lays the groundwork for the dynamic modeling of SMAC structures.

  19. Orthogonal test table.

    • plos.figshare.com
    xls
    Updated Jan 22, 2024
    + more versions
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    Jun’an Lei; Fujing Zhao; Yuanyuan Wang; Haicheng Su (2024). Orthogonal test table. [Dataset]. http://doi.org/10.1371/journal.pone.0297090.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 22, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Jun’an Lei; Fujing Zhao; Yuanyuan Wang; Haicheng Su
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Crack is one of the main diseases of pavement structure. In order to improve the anti-reflective crack ability of pavement, fiber rubber gravel sealing layer is proposed as the stress absorbing layer. In view of the shortcoming that Mcleod design method can not be associated with road performance, a sealing layer optimization design method based on fatigue crack test is proposed. Firstly, the reinforcement effect of fiber on rubber asphalt was studied through force ductility testing. Secondly, the optimum dosage of fiber, asphalt and gravel was optimized through fatigue cracking resistance test. Finally, the cracking resistance of fiber rubber gravel seal was verified through fracture energy test. The results show that fibers can significantly increase the maximum tensile force and strain yield energy of rubber asphalt, and basalt fiber has the best reinforcement effect. The most obvious effect on cracking resistance performance in the sealing layer is the amount of fiber, followed by the amount of asphalt, and finally the amount of gravel. The optimized material combination with the best crack resistance is 120g/m2 fiber, 14kg/m2 gravel and 2.4kg/m2 rubber asphalt, and the fatigue resistance times can reach 19532 times. The fracture energy of the composite pavement treated by the optimized sealing layer is nearly double that of the non-treated pavement structure, and it has a good anti-crack effect.

  20. Stress–strain curve of membrane.

    • plos.figshare.com
    xlsx
    Updated Jun 8, 2023
    + more versions
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    Haoqiang Lai; Cuiying Zhou; Zhen Liu (2023). Stress–strain curve of membrane. [Dataset]. http://doi.org/10.1371/journal.pone.0286949.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Haoqiang Lai; Cuiying Zhou; Zhen Liu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Ecological slope protection projects (such as the reinforcement of low slopes by plants and ecological restorations of the soil of high steep rocky slopes) are essential for restoring the natural environment. In this study, red bed soil and composite polymer adhesive materials were used to develop an ecological membrane for application in slope ecological protection. The basic physical and mechanical properties of the ecological membranes with different material percentages were studied through tensile strength test and viscosity test, the effect of different material percentages on the properties of ecological membranes was studied, and the soil protection performance and ecological restoration performance were studied through anti-erosion and plant growth tests. The results show that the ecological membrane is soft and tough, with high tensile strength. The addition of the red bed soil can enhance the strength of the ecological membrane, and the ecological membrane with 30% red bed soil has the highest tensile strength. The ecological membrane has considerable tensile deformation capability and viscosity, and up to 100% by mass, the more composite polymer adhesive materials added, the greater the tensile deformation capability and viscosity. And the ecological membrane can enhance the anti-erosion performance of the soil. This study clarifies the development and technology of the ecological membrane, reveals the effect of different material percentages on the properties of ecological membrane, and analyzes the slope ecological protection mechanism of the ecological membrane, thereby providing theoretical and data support for its development, improvement, and application.

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Fletcher, Lloyd; Pierron, Fabrice (2019). Data for paper 'Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials' [Dataset]. http://doi.org/10.5258/SOTON/D0915

Data for paper 'Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials'

Explore at:
Dataset updated
May 3, 2019
Dataset provided by
University of Southampton
Authors
Fletcher, Lloyd; Pierron, Fabrice
Description

This data set contains the finite element generated data necessary to validate the generalized stress-strain curves. It supports the paper: Generalized stress-strain curves for IBII tests on isotropic and orthotropic materials F. Pierron, L. Fletcher Journal of the Dynamic Behaviour of Materials, 2019 DOI: 10.1007/s40870-019-00197-9

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