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.

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

Raw data regarding stress/strain and conductivity performance. (ZIP)

RTV-2-based nanocomposite filled with different concentrations of SWCNTs. Please review the publication "E-Skin Development and Prototyping via Soft Tooling and Composites with Silicone Rubber and Carbon Nanotubes" on Materials (MDPI) for further details

This is the dataset for the research paper "Learning the Stress-Strain Fields in Digital Composites using Fourier Neural Operator"

Contains example data for sensor strain, stress and resistance for sensors cycled at different rates, along with a couple of example plotting and curve fit scripts.

In our study, we investigated the effects of the silver-coated graphene (Ag@GNS) content on the microstructural and mechanical properties of Ti-13Nb-13Zr (TC26) based composites and explored their fracture mechanisms. The results showed that with an increase in Ag@GNS content, the in situ-generated TiC aggregated in the grain boundaries, which led to a decrease in α grain size and an increase in the dislocation density. Meanwhile, the density, 0.2% yield strength and ultimate tensile strength exhibited an initial increase followed by a decrease. When the Ag@GNS content achieved 0.5 wt.%, the TC26 based composites demonstrated the best mechanical performance with the hardness of 387.87 HV0.1, 0.2% yield strength of 950.54 MPa and tensile strength of 1169.46 MPa, respectively, where the elongation maintained 6.49%. Moreover, the elastic modulus of 0.5Ag@GNS/TC26 composite was 28.30 GPa, which meets the requirements of the elastic modulus of human implants. The tensile strength of the composites was affected by the contents of the reinforcing phases, TiC and Ti3Ag at the interface. Both excessive and insufficient reinforcing phases deteriorate tensile strength. Therefore, these uploaded figures come from the results of above study. Figure 1 shows the Schematic diagram of Ag@GNS/TC26 composites prepared by SLM. Figure 2 shows the SEM images of titanium matrix composite powders with different Ag@GNS contents. (a) 0.3 wt.% Ag@GNS, (b) 0.5 wt.% Ag@GNS, (c) 0.7 wt.% Ag@GNS, (d) 0.9 wt.% Ag@GNSFigure 3 shows the XRD patterns of titanium matrix composites with different Ag@GNS contents. (a) XRD patterns of titanium matrix composites with different Ag@GNS contents, (b) Enlarged view of areas 37°-42°Figure 4 shows the OM images of titanium matrix composites with different Ag@GNS contents. (a) 0.3Ag@GNS/TC26 composite, (b) 0.5Ag@GNS/TC26 composite, (c) 0.7Ag@GNS/TC26 composite, (d) 0.9Ag@GNS/TC26 compositeFigure 5 shows the SEM images of titanium matrix composites with different Ag@GNS content. (a-c) 0.3Ag@GNS/TC26 composite, (d-f) 0.5Ag@GNS/TC26 composite, (g-i) 0.7Ag@GNS/TC26 composite, (j-l) 0.9Ag@GNS/TC26 compositeFigure 6 shows the Measured density of titanium matrix composites with different Ag@GNS contents.Figure 7 shows the TEM, HRTEM and GPA images of 0.5Ag@GNS/TC26 composite. (a) Bright-field TEM image of 0.5Ag@GNS/TC26 composite, (b) Enlarged view of the yellow box in Fig. 7(a), (c) HRTEM image in yellow box in Fig. 7(b), (d) corresponding GPA image in Fig. 7(c).Figure 8 shows the Contrast, inverse polarity plots and grain size histograms of titanium matrix composites with different Ag@GNS contents. (a1-a3) 0.3Ag@GNS/TC26 composite, (b1-b3) 0.5Ag@GNS/TC26 composite, (c1-c3) 0.7Ag@GNS/TC26 composite, (d1-d3) 0.9Ag@GNS/TC26 composite.Figure 9 shows the KAM diagrams of titanium matrix composites with different Ag@GNS contents. (a1, a2) 0.3Ag@GNS/TC26 composite, (b1, b2) 0.5Ag@GNS/TC26 composite, (c1, c2) 0.7Ag@GNS/TC26 composite, (d1, d2) 0.9Ag@GNS/TC26 compositeFigure 10 shows the High-angle and low-angle grain boundaries distribution of titanium matrix composites with different Ag@GNS content. (a) 0.3Ag@GNS/TC26 composite, (b) 0.5Ag@GNS/TC26 composite, (c) 0.7Ag@GNS/TC26 composite, (d) 0.9 Ag@GNS/TC26 compositeFigure 11 shows the Parametric properties of composites. (a) hardness diagram, (b) stress-strain curve diagram, (c) reported properties of titanium matrix composites [9, 34, 43-47]Figure 12 shows the Fracture morphology of titanium matrix composites with different Ag@GNS contents. (a) 0.3Ag@GNS/TC26 composite, (b) 0.5Ag@GNS/TC26 composite, (c) 0.7Ag@GNS/TC26 composite, (d) 0.9 Ag@GNS/TC26 compositeFigure 13 shows the Schematic diagram of the tensile process of titanium matrix composites with different Ag@GNS content.

Thermal data measured by DSC for composites of PLLA and PLLA:PLCL(70:30)-with P45Ca45 and P40Ca50 phosphate glass, before degradation (Fig01). Contains Microsoft Excel file with Tg measurements and experimental details. Script and data files for generating plots are also given (.txt). Representative stress-strain curves (Fig02) from tensile tests of composites in ambient conditions (t0dry) and immersed in 37°C water (t0wet), all before degradation. Contains .txt files with example stress-strain curves, as well as script and data files for generating plots (.txt). Also contains Microsoft Excel file with measured mechanical properties, and key to identifying stress-strain curves (.xlsx). Calculation of mechanical properties of composites in ambient conditions (t0dry) and immersed in 37°C water (t0wet), all before degradation (Fig03). Fig03_modulus.xlsx contains calculation of predicted modulus from Counto model, and analysis of the goodness-of-fit. Voigt-Reuss bounds are also calculated for plotting in Fig 3. Fig03_yieldstrength.xlsx contains calculation of the predicted lower bound yield strength, as well as conversion of glass weight fractions to volume fractions used for plotting. Script and data files for generating plots are also given (.txt). Measurements from long-term degradation tests of composites in 37°C phosphate-buffered saline. Contains Microsoft Excel file (Fig04_data.xlsx) with raw pH, Ca²⁺ electrode potential, and wet mass measurements, along with calculation of Ca²⁺ concentration and wet mass %, along with appropriate averages and standard deviations. Example Ca²⁺ ISE calibration curve is also shown. Script and data files for generating plots are also given (.txt). Measurements of composite sample mass before and after 5, 30, and 120 days degradation in 37°C phosphate-buffered saline. Microsoft Excel file (Fig05_composite_mass.xlsx) with wet mass, dry mass, and ash content measurements, as well as calculations of water, glass, and polymer mass percentages. Fig05_data_export.xlsx contains data from the previous file, rearranged for plotting over time. Script and data files for generating plots are also given (.txt). X-ray diffraction data for polymer crystallisation within composites (Fig06.xlsx). Raw XRD patterns (.uxd) given for examples of samples undergoing no polymer crystallisation, and extensive polymer crystallisation. Polymer crystallinity percentage measured by XRD is also given, normalised to the proportion of polymer present in the composite. Script and data files for generating plots are also given (.txt). DSC data showing enthalpy relaxation (Fig07) occurring during degradation is given in a Microsoft Excel file. Example raw DSC curves before and after degradation are supplied, as well as the change in enthalpy relaxation after 5, 30, and 120 days degradation. Script and data files for generating plots are also given (.txt). Raw SEM images of selected compositions before and after 120 days degradation (Fig08) are given (.tif), along with example XRD pattern showing the inorganic phases present within composite materials after degradation (.uxd). Script and data files for generating plots are also given (.txt), as well as illustration file (.svg) and figure (.png). Mechanical properties (modulus, yield strength, elongation at break) measured in 37°C water before and after 5, 30, and 120 days degradation in 37°C phosphate-buffered saline (Fig09). Microsoft Excel file (.xlsx) given with data for each timepoint, as well as script and data files for generating plots are also given (.txt). Raw ashing data (Tab01) showing sample masses for as-fabricated composites. Experimental details, measurements (slide mass before and after ashing), and ash calculations given in Microsoft Excel file (.xlsx). Plots are generated using gnuplot (www.gnuplot.info), Note: In raw data, deprecated glass codes are sometimes used. PG7 denotes glass code P45Ca45 (P₂O₅)₄₅(CaO)₄₅(Na₂O)₁₀, and PG11 denotes glass code P40Ca50 (P₂O₅)₄₀(CaO)₅₀(Na₂O)₁₀.

explaining Stress vs. strain behavior of carbon composite with a nano mat of PAN-derived carbon fiber at the top of assembly.

We will quantify the microscale stress and strain fields generated during the macroscopic compression of concrete. Currently, the macroscopic modulus and strength of concrete are predicted accurately by “mean-field” micromechanics theories and numerical models based on the postulate that each sand particle (aggregate) in the microstructure experiences the same stress state during macroscale loading and is perfectly bonded to the surrounding cement-paste matrix. Recent work by the proposers demonstrates that the aggregates instead experience significant stress variability. Our proposed experiments will exploit combined 3DXRD, scanning 3DXRD and x-ray computed tomography, with digital volume correlation, to quantify stress variability and aggregate-matrix debonding during elastic and inelastic stages of compression in-situ. Results will improve micromechanics theories and provide first-of-its-kind information on aggregate-matrix interface mechanisms previously inaccessible in-situ.

Particle size distribution data measured by dynamic light scattering for coarse glass powder and fine (attritor milled) glass powder (Fig02). Contains Microsoft Excel .xlsx files and .txt files with particle size distributions, as well as script and data files for generating plots (.txt). Raw SEM images (.tif) of coarse and fine glass powder are also included. Results from X-ray micro-computed tomography 3D object analysis (Fig03) are supplied in Microsoft Excel .xlsx files. For composites made using films and precipitate, three volumes of interest (VOIs) are shown in separate .xlsx files. Object analysis results are combined into one .xlsx files for each composite condition to generate an average object size distribution, which is exported to a .txt file. μCT slice images and SEM images of composites fabricated from composite films and precipitate are also included in .png format. Script files for generating figures are also included (.txt). Mechanical testing data from tensile tests of composites fabricated from composite films and precipitate (Fig04). Tests were carried out in 37°C water. Contains .txt files with example stress-strain curves, as well as script and data files for generating plots (.txt). Digital photographs (.png files) of samples before and after tensile failure are also included. Plots are generated using gnuplot (www.gnuplot.info),

Hot compression tests for 2219/TiB2 Al-matrix composite were conducted on a Gleeble-3500 isothermal simulator in the temperature range of 300~500°C and strain rates of 0.01, 0.1, 1, 10s-1 to obtain true stress strain curves. The original Johnson-Cook model was calculated and used to describe the constitutive relationship of hot deformation behavior of this composite. After precision evaluation and analysis, a new modified Johnson-Cook model was proposed. Comparing with the original model, the new model has a lower absolute average relative error (AARE) of 6.4415% and a higher relative error (R) of 0.9852, which indicates better prediction precision. Meanwhile, to understand the intrinsic workability of this composite, processing map based on dynamic materials model was constructed. Two stable regions locating at 300~400°C&0.01~0.1s-1 and 420~500°C &0.01~1s-1 were identified by the processing map and the instable microstructure in the instability region validated the reliability of the processing map. Furthermore, the microstructure evolution was analyzed and the results revealed that the θ-phase reduced with the increasing temperature.

Single fiber test data and SEM scan behind the publications Kumar, R., L.P. Mikkelsen, H. Lilholt, B. Madsen, Understanding the mechanical response of glass and carbon fibres: stress-strain analysis and modulus determination IOP Conf. Ser.: Mater. Sci. Eng. 942, 012033, https://doi.org/10.1088/1757-899X/942/1/012033, 2020 Rajnish Kumar, Lars P Mikkelsen, Hans Lilholt and Bo Madsen, Experimental Method for Tensile Testing of Unidirectional Carbon Fibre Composites Using Improved Specimen Type and Data Analysis, Materials, 14, 3939, https://doi.org/10.3390/ma14143939, 2021. and Rajnish Kumar, Lars P Mikkelsen, Hans Lilholt and Bo Madsen, Weibull parameters determined from a comprehensive dataset of tensile testing fo single carbon fibers, Submitted, 2024 to where a reference should be given. A video describing the test-setup can be found in the following link: https://panopto.dtu.dk/Panopto/Pages/Viewer.aspx?id=50c10945-0612-4126-9e99-b00700cfbaf2&start=0 The data-set cover single fiber test of a carbon and glass fiber in the gauge section range from 20-80 mm for carbon fiber and from 40-80 mm for glass fiber. There are three files for each gauge-section: ... Data.xslx: The individual tensile curves with one sheet for each fiber. There are around 150 fibers in each set ... Results.xslx: One excel-sheet containing a summary of the parameters obtained for the individual fibers. ....Figures.doc: Word file showing a plot of the graphs In addition to this, there are for the carbon and glass fiber case a test setup complience calculation saved in the .... Compliance.xslx excel-sheet and SEM scans of a large approximately 2x20 mm cross-section of a pultruded profile based on the carbon fibers. This scan can be used for validating the fiber diameter distribution found in the single fiber testing. The SEM scan is saved in the Carbon_HyFisyn... files This set of files also include a matlab file (.m) which are used for determine the fiber volume fraction of the composite. Scripts to plot and analysing the data can be found on the following places: Google Colab: https://colab.research.google.com/drive/1GdmRGOuy6SUuRXdbbyxemczgAUZl8JaM?usp=sharing Code Ocean: Lars P. Mikkelsen, Rajnish Kumar (2022) Understanding the mechanical response of glass and carbon fibres: stress-strain analysis and modulus determination [Source Code]. https://doi.org/10.24433/CO.5998905.v1

SPABOND™ 820HTA and SPABOND™ 840HTA wind turbine rotor blade adhesives are toughened with 0.5 mm thick PEI and PVDF thermoplastic interlayers and their plain strain fracture toughness is determined through single-edge-notch bending (SENB) experiments. Further, the tensile experiments of epoxies and thermoplastic are performed and the stress-strain and longitudinal strain-lateral strain data of SPABOND™ 820HTA, SPABOND™ 840HTA, Natural Kynar® PVDF and Ultem® 1000 PEI materials are provided. Also, the raw force-displacement datasets from pristine and thermoplastic interlayered SENB experiments are provided. The typical fracture behavior of interlayered specimens is recorded using a high-speed camera, and the corresponding videos are available here.

A new method has been developed for creating localised in-plane fibre-waviness in composite coupons and used to create a large batch of specimens. This method could be used by manufacturers to experimentally explore the effect of fibre-waviness on composite structures both directly and indirectly to develop and validate computational models. The specimens were assessed using ultrasound, digital image correlation and a novel inspection technique capable of measuring residual strain fields. To explore how the defect affects the performance of composite structures, the specimens were then loaded to failure. Predictions of remnant strength were made using a simple ultrasound damage metric and a new residual strain-based damage metric. The predictions made using residual strain measurements were found to be substantially more effective at characterising ultimate strength than ultrasound measurements. This suggests that residual strains have a significant effect on the failure of laminates containing fibre-waviness and that these strains could be incorporated into computational models to improve their ability to simulate the defect.

The mechanical properties of multilayered metallic composites are determined by strain/stress partitioning between the constituent metals. However, the effect of strain on the deformation behaviour and the selection of deformation mechanisms in individual phases within the composites composed of at least one hcp constituent are still unclear, especially when the single layer thickness is only a few microns or even smaller. In this work, micromechanical behaviour and strain/stress distribution and evolution in multilayered Ti/X (X=Zr, Nb) composites will be measured by using the in-situ neutron diffraction technique. The evolution of microstrains that underlie the load sharing among the differently oriented grains and between the constituent metals will be traced under the applied stress. Then, the mechanism of strengthening and toughening in such a composite structure can be explored.

In this research, we bridge theory and experiment by developing an integrated framework that couples in situ chemical strain measurements with mechanics modeling to quantify stress and strain energy evolution during ion insertion/extraction.

Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades: Dataset.

In the study titled “Melting glass fibres recovered from wind turbine blades into new glass fibres for wind turbine blades”, four different types of glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%. Furthermore, these glass fibre types were used to manufacture composite specimens and characterised by static tension tests in fibre and transverse directions.

This dataset is a collection of 13 Excel files.

The “Glass fibre properties and Weibull analysis” Excel file summarise the single fibre tensile testing of glass fibre types and strength analysis using unimodal 2-parameter Weibull theory. There are four sheets in the Excel files for 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt% glass fibres.

The Excel files “Single glass fibres-Stress-strain curves-0 %, 1.64 %, 1.90 %, 1.96 %” contains the raw data of individual fibres obtained from the single fibre tensile testing experiments.

There are eight Excel files containing the raw data of static tensile tests in the fibre and transverse direction of the composites made with glass fibres were manufactured with varying fractions of recycled fibre powder, 0 wt%, 1.64 wt%, 1.90 wt% or 1.96 wt%.

Abstract The slim floor system has been used mainly due to the structural and constructive advantages of it, such as the capacity to overcome large spans with the low height of the composite floor system. There is a lack of finite element modelling researches of composite connections between the slim floor system and columns, especially with the concrete infilled steel tube columns. This paper presents the numerical approach based on the solid modelling, for the simulation of the nonlinear structural behavior of composite connection between partially encased composite beam and concrete infilled steel tube column; in this model, the composite beam represents the slim floor. The ABAQUS finite element code was used to investigate the behavior of composite connection that consists of a shear steel plate and negative reinforcement of the composite slab. In this paper, the authors discusses the procedures to the numerical model construction including finite elements and boundary conditions. Besides, the influence of stress-strain relationships for concrete and steel and the parameters that defines each model are presented and discussed, as well as the different steel to concrete interface conditions. Based on the results obtained, the effectiveness of the numerical model developed was verified against experimental results showing a good agreement response for the Moment vs. Rotation response, as well as the moment resistance of the composite connection.

Fiber reinforced ceramic matrix composites (FRCMCs) have numerous applications, such as engine components, rocket re-entry nozzles and military vehicles due to their light weight, combined strength and toughness at high temperature. With the commercialization of GE LEAP engine using a ceramic shrouds, FRCMC is regarded as a game changer in key engineering areas for high energy efficiency and safety. FRCMCs have a complex microstructure and as damage accumulates it shows non-linear stress-strain behaviour. This is exactly what we are going to study. Neutrons will tell us how much the lattice has deformed in the material under load; we then take digital images of the surface of the sample to calculate the total deformation. By comparing the two, the tolerance of damage in FRCMCs can be determined and correlated to its microstructure for optimizing the material design.