Dataset Description: Composite Material Stress and Strain

This dataset encompasses stress and strain measurements obtained from experiments conducted on a composite material. The data spans various conditions or loading scenarios applied to the material, capturing the material's response concerning stress and strain in different dimensions.

Features: Stress: The applied force per unit area exerted on the material, measured in an unspecified unit (normalised or scaled values). Strain in X: The change in length (or deformation) in the x-direction of the material concerning the applied force. Strain in Y: Similar to strain in X, this represents the deformation in the y-direction caused by the applied force. Strain XY: The shear deformation or strain occurring in the xy plane, perpendicular to the z-axis. Insights: Initial State (Data Point 0): The initial data point shows zero stress and strain across all dimensions, indicating the material's baseline state before any applied force. Progressive Stress-Strain Relationship: As the stress increases gradually from subsequent data points, there's a corresponding increment in strain values, demonstrating the material's response to increasing stress levels. The strains appear relatively small compared to the stress values, indicating a linear or proportional relationship between stress and strain within this range. Shear Strain Variation: Notably, the shear strain (Strain XY) remains consistently negative, suggesting a consistent type of deformation within the xy plane despite varying stress levels. Observations: Incremental Stress-Strain Behaviour: The stress increments marginally across data points, possibly representing a controlled stress test where the material is subjected to incremental loading. Consistency in Strain Patterns: Strain values show incremental changes, suggesting the material's linear or elastic behavior under these applied forces. Potential Analysis: Elastic Limit Exploration: Further analysis might involve determining the material's elastic limit or investigating potential deviations from linear behaviour as stress reaches higher levels. Comparative Studies: Comparative analysis with different material compositions or under varying environmental conditions could reveal how this composite material fares in comparison.

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.

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

In this dataset, cooling-rate-dependent properties of polyphenylene sulfide (PPS) and carbon fiber reinforced PPS (CF/PPS) manufactured with different cooling rates (1, 5, and 10 °C/min) are included. Cooling-rate-dependent thermal properties (crystallization temperature, glass transition temperature, melting temperature, and coefficients of thermal expansion), physical properties (crystallinity and density), mechanical properties (moduli, yield stress, ultimate stress, and stress–strain curves), and fracture properties (load–displacement curves and R-curves) are presented. Detailed information are presented in a research article linked to this dataset. "summary-of-all-data.xlsx": Summary of all data "PPS-tensile-stress-strain-curves.xlsx": Tensile stress–strain curves of neat PPS "PPS-compressive-stress-strain-curves.xlsx": Compressive stress–strain curves of neat PPS "PPS-shear-stress-strain-curves.xlsx": Shear stress–strain curves of neat PPS "CFPPS-shear-stress-strain-curves.xlsx": Shear stress–strain curves of CF/PPS "CFPPS-transverse-stress-strain-curves.xlsx": Transverse tensile stress–strain curves of CF/PPS "CFPPS-DCB-curves.xlsx": Load–displacement curves and R-curves of DCB (mode I fracture toughness) tests "CFPPS-ENF-curves.xlsx": Load–displacement curves and R-curves of ENF (mode II fracture toughness) tests

Abstract A fragmentation model based on global load sharing (GLS) theory is developed to obtain stress-strain curves that describe the mechanical behavior of unidirectional composites. The model is named C N B + τ * because it is based on the Critical Number of Breaks model (CNB) and on the correction of the fiber matrix interfacial strength, τ *. Model allows both obtaining the ultimate tensile strength of CFRP and GFRP composites, and correcting the σ vs ε curve to match its peak point with the predicted strength, which is more accurate than the one obtained by previous GLS-based models. Our model is used to classify the mechanical response of the material according to the energetic contributions of two phenomena up to the failure: intact fibers (IF) and fragmentation (FM). Additionally, the influence of fiber content, V f, on the tensile strength, σ U, failure strain, ε U, and total strain energy, U T, is analyzed by means of novel mechanical-performance maps obtained by the model. The maps show a dissimilar behavior of σ U, ε U and U T with V f between GFRP and CFRP composites. The low influence of V f on the percent energetic contributions of IF and FM zones, as well as the larger energetic contribution of the FM zone, are common conclusions that can be addressed for both kinds of composites.

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

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.

The dataset presents detailed results in images for all 1600 composite structures from the testing set. These images display stress-strain curves from phase-field simulations (ground truth) and model-predicted stress-strain curves, along with their corresponding composite structural arrangements and MAEs.

Due to the high axial Young's moduli as well as high aspect ratio, it follows those CNTs, irrespective of whether they are multi or single-walled nanotubes exhibit potential, excellent mechanical reinforcing fillers in polymer composites. Shows the stress value around 342 MPa with R2 is equal around 0.9 versus maximum strain value is 0.85 mm.

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

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),

This data file contains the raw and analyzed data of the mechanical properties of open-cell AlSi10Mg and AlSi10Mg-SiC materials with different pore sizes and strain rates. The materials were subjected to quasi-static compression loading up to 60% strain at strain rates of 0.01 and 0.001 s-1. The data file consists of three folders: Raw data, Analyzed data, and Python code.

The Raw data folder contains TXT files with the information and numerical data of each tested specimen. The information includes the specimen designation, pre-load, test speed, type of compression modulus determination, and material. The numerical data includes the compressive strain, standard force, time, and work. The TXT files are named according to the specimen designation.

The Analyzed data folder contains XLSX files with the stress-strain curves, energy absorption, and energy absorption efficiency characteristics of each specimen. The XLSX files also contain the calculated values of the plateau stress, plateau end stress, and plateau end strain for each specimen. The XLSX files are named according to the material type and strain rate testing condition.

The Python code folder contains two subfolders: Input data and Output data. The Input data subfolder contains the XLSX file with the average stress-strain curves for all tested specimens. The Output data subfolder contains the PNG files with the plots of the stress-strain curves, energy absorption, and energy absorption efficiency for different material types and pore sizes. The Python code folder also contains the Python script that uses the matplotlib library to generate the plots from the input data.

The specimen labels are based on the material type, pore size, and strain rate. For example, C 0.01 means open-cell AlSi10Mg material with pore size of 800-1000 μm and strain rate of 0.01 s-1. The other labels follow the same pattern: E for open-cell AlSi10Mg material with pore size of 1000-1200 μm, SC for open-cell AlSi10Mg-SiC composite with pore size of 800-1000 μm, and SE for open-cell AlSi10Mg-SiC composite with pore size of 1000-1200 μm.

Stress and strain data for both pure carbon fibre layer-to-layer 3D woven composite and a fibre-hybrid carbon fibre and polypropylene layer-to-layer 3D woven composite for both warp and weft samples. The data was obtained following ASTM D3039 and used to obtain values of Young's Modulus, tensile strength and maximum tensile strain for both materials in the warp and weft direction.

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.

This .zip folder features raw stress-strain tensile data for approximately 500 specimens corresponding to different natural fibre reinforced composite laminates (see Raw Data folder). In addition, we provide here the calculated elastic modulus, strength and failure strain values for each specimen (see Statistics folder). Finally, we include python codes that enables to show the experimental statistical distributions for each material system and calculate the corresponding fit of their probability distribution functions (see Normal.py and Weibull.py files).

The data presented here is associated with the research articles "Statistical behavior of the tensile properties of natural fibre composites" and "The mechanical properties of natural fibre composite laminates: a statistical study" by J.P. Torres, L.-J. Vandi, M. Veidt, M.T. Heiztmann.

The underlying data presented in the paper “Energy dissipation during delamination in composite materials–An experimental assessment of the cohesive law and the stress-strain field ahead of a crack tip”, by Meisam Jalalvand, Gergely Czél, Jonathan D Fuller, Michael R Wisnom, Luis P Canal, Carlos D González, Javier LLorca, Composites Science and Technology, includes: 1. X and Y Coordinates of the Digital Image Correlation facets.

1. Displacement of facets centre from Digital Image Correlation.

2. Shear strain distribution over the glass/epoxy and carbon/epoxy layers.

3. Shear stress distribution at the interface.

4. Separation at the interface.

DDS: Hamish Mcalpine

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.

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.

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.

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.