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17 results for “compressive strength”
Compressive Strength of Model Ice Measurements
<p>This data package contain a detailed measurement report and the measurements data from the mechanical property measurements conducted in HSVA Large Ice Tank.<br>This work is part of HYDRALAB+ Adaptation for Climate Change – project that was supported by the European Community's Horizon 2020 Programme through the <br>grant to the budget of the Integrated Infrastructure Initiative HYDRALAB+, Contract no. 654110. The measurements are a part of the deliverable D9.5 Collection of Benchmark data sets of Joint Research Activities (JRA) 2 – COMPLEX (Cross disciplinary Observations of Morphodynamics and Protective structures, Linked to Ecology and eXtreme events) within Hydralab+ project.</p> <p>The focus of the tests was to provide compressive strength measurement data when the target flexural strength and aspect ratio (length to width ratio) is varied. The Young's modulus, flexural strength, salinity, and density are reported along previous lines. Additionally, the measurement data, raw and filtered, from the compressive strength measurements is provided. The provided measurement data was saved in ASCII format in .txt files. The files are named according to the number of the test, 001.txt etc. The first column in the files is the time stamp in seconds. The second column is the raw unfiltered data in Newtons. The third column is the filtered measurement data in Newtons.</p>
Effects of Charring on Squash (Cucurbita L ) Seed Morphology and Compression Strength: Implications for Paleoethnobotany Metric Data
<p>Metric data resulting from a series of charring experiments on seeds from three species of squash: <em>Cucurbita pepo</em>, <em>Cucurbita moschata</em>, and <em>Cucurbita maxima</em>.</p>
DocumeNDT Uniaxial Compression Strength (UCS) tests dataset
<p>DocumeNDT Uniaxial Compression Strength (UCS) Tests dataset</p> <p>This repository contains the raw data obtained from the Uniaxial Compression Strength (UCS) tests performed on six stone masonry walls at the laboratory of the Eduardo Torroja Institute for Construction Sciences (IETCC), from the Spanish National Research Council (CSIC).</p> <p>The data set is structured in 6 folders corresponding to the 6 tested stone masonry walls (Walls 1-6). Each folder contains:<br> (1) Position of each LVDT during the test (plan view "PositionLVDTs.jpg)<br> (2) Elevations A and B (long sides), marked in plan<br> (3) Recorded force and displacement data (*.csv file)<br> (4) readme file with specific details about the test</p> <p>Raw data (force and displacement) is provided in .csv files, structured in columns. First column corresponds to the Force measured (in kN) and columns 2-5 correspond to the displacement measured by each LVDT (in mm).</p> <p>The frequency of acquisition is 1 samples/s.</p> <p>The detailed geometry of all walls (including the inner position of each stone) is publicly available and can be found in https://doi.org/10.5281/zenodo.7713700</p> <p>Please cite the following related publication:</p> <p>Ortega J, Meersman MFL, Aparicio S, Liébana JC, Anaya JJ, Gonzalez M. Capabilities of sonic tomography to assess historic masonry deformability properties, in situ stress level and damage evolution (2023)</p>
DocumeNDT Uniaxial Compression Strength (UCS) tests – tomographic inspections dataset
<p>DocumeNDT Uniaxial Compression Strength (UCS) Tests - tomographic inspections dataset</p> <p>This repository contains data from the sonic tomography inspections carried out during the cyclic Uniaxial Compression Strength (UCS) tests performed on six stone masonry walls at the laboratory of the Eduardo Torroja Institute for Construction Sciences (IETCC), from the Spanish National Research Council (CSIC). </p> <p>A first sonic tomography inspection was carried out before starting the test (C0) with no loading. Then, cycles of increasing loading were imposed to the wall. Two cycles are performed for each loading level. After reaching the maximum load in each cycle, the load is sustained and a sonic tomography inspection is carried out. </p> <p>The data set is structured in 3 levels of folders:<br> - At first level, the 6 folders correspond to the 6 tested stone masonry walls (Wall 1-6).<br> - At second level, for each wall, there are two folders and a readme file:<br> - The readme file contains specific details about the inspection, e.g., number of emission and reception points or maximum load corresponding to each cycle<br> - The folder 'Coordinates' contains two diagrams of the emission and reception locations in elevation<br> - The folder 'Loading Cycles' contains the sonic raw data recorded in each cycle<br> - At third level, for each loading cycle carried out during the UCS test, there is one folder. Each folder contains:<br> - The folder 'Coordinates' contains the exact coordinates of the emission and reception points in *.txt files<br> - The folder 'Emission raw signal' contains the recorded emission signal for each emission location<br> - The folder 'Reception raw signal' contains the recorded reception signal for each emission location</p> <p>Sonic data are presented in *.csv files, structured in columns. Each column correspond to a reception location. The values correspond to the voltage recorded. Specific details about the csv can be found in the readme file of each wall.</p> <p>The frequency of acquisition is 256000 samples/s.</p> <p>The detailed geometry of all walls (including the inner position of each stone) is publicly available and can be found in https://doi.org/10.5281/zenodo.7713700</p> <p>The experimental results of the UCS test are also publicly available and can be found in https://doi.org/10.5281/zenodo.8341725. </p> <p>Please cite the following related publication:</p> <p>Ortega J, Meersman MFL, Aparicio S, Liébana JC, Anaya JJ, Gonzalez M. Capabilities of sonic tomography to assess historic masonry deformability properties, in situ stress level and damage evolution (2023)</p>
Water weakening and the compressive brittle strength of carbonates: influence of fracture toughness and static friction
<p>This is the ReadMe file corresponding to the study entitled:<br>"Water weakening and the compressive brittle strength of carbonates: influence of fracture toughness and static friction"<br>By Noël C., Fryer B., Baud P. and Violay M.</p> <p>This Read-Me file has been last edited in January 2024</p> <p>This readme file describes the data repository files accompanying the above publication published in IJRMMS. <br>For any further queries please contact corentin.noel@geoazur.unice.fr</p> <p>For each type of experiments (uniaxial compression, fracture toughness and friction), a zip file contains the the file of the experiments. Each file name contain the information of the sample tested and the experimental condition (dry or saturated):<br>- The first leter(s) stands for the limestone tested: In=Indiana, L=Leitha, S=Solnhofen, St=Saint Maximin, T=Tavel.<br>- The number following is for sample referencing.<br>- The next letter is for the experiment performed: U=Uniaxial compression, K=Fracture toughness, F=Friction<br>- After a "_", the experimental conditions are described: dry=dray experiments, sat=water saturated experiments</p> <p><br>*** Uniaxial compression ***<br>Each .txt file contains:<br>- Column 1: Axial stress (MPa)<br>- Column 2: Axial strain (-)<br>- Column 3: Radial strain (-)<br>- Column 4: Volumetric strain (-)</p> <p>Additionally, each experiments also have an accoustic file (.txt ending with _AE) containing:<br>- Column 1: Axial strain (-)<br>- Column 2: Cumulative AE number</p> <p>*** Fracture toughness ***<br>Each .txt file contains:<br>- Column 1: Axial displacement (mm)<br>- Column 2: Mode I stress intensity factor KI (MPa.m(1/2))<br>- Column 3: Crack mouth openning (mm)</p> <p>*** Friction ***<br>Each .txt file contains:<br>- Column 1: Time (s)<br>- Column 2: Shear stress (MPa)<br>- Column 3: Normal stress (MPa)<br>- Column 4: Shear displacement (mm)</p> <p>Additionally, for each experiment and both under dry and water saturated conditions a .xlsx file contains the picked static shear stress at the onset of sliding for each tested normal stress as follow:<br>- Column A: Normal stress (MPa)<br>- Column B: Shear stress at onset of sliding (MPa)<br>- Column C: Shear stress at onset of sliding lower boundary (MPa)<br>- Column D: Shear stress at onset of sliding higher boundary (MPa)<br>- Column E: Uncertainty on the shear stress at onset of sliding (MPa)</p>
Compressive strength measurements on binary and ternary blended cementitious paste specimens produced with seawater-mixing
<p>The following file consists of data from the published article Rathnarajan et al., (2024) Comprehensive evaluation of early-age hydration and compressive strength development in seawater-mixed binary and ternary cementitious systems published in Archives of Civil and Mechanical Engineering. </p> <p>The excel file contains of compressive strength data of cement paste specimens of size 2 cm. </p> <p>1. From column B to Column N: Mix proportion details including the type of binders, total binder content, and clinker substitution level with SCMs are provided</p> <p>2. From Column O to Column AM: Compressive strength data of the paste specimens were listed out for FW-mixed and SW-mixed cementitious systems for the testing ages, 2, 7, 14, 28 and 90 days. </p> <p>3. Also the % change in compressive strength is calculated by calculating the difference in strength between SW-mixed and FW-mixed specimen divided by strength of FW-mixed specimens</p> <p>SYMBOLS AND NOTATIONS</p> <p>PC - CEM I <br>PF - CEM I + Fly ash <br>PS - CEM I + Slag<br>PM - CEM I + Metakaolin<br>PL - CEM I + Limestone<br>FW - Fresh water mixed <br>SW - Seawater mixed<br>SCM - Supplementary cementitious materials like Fly ash, slag, metakaolin and Limestone<br>SD - Standard deviation<br>%change - Percentage change in compressive strength with respect to strength of FW-mixed paste cubes. </p>
Dynamic Compressive Strength and Fragmentation in Felsic Crystalline Rocks
<p>Complete data for "Dynamic Compressive Strength and Fragmentation in Crystalline Rocks" by Rae et al.</p>
Flexural and compressive strength of the landfast sea ice in the Prydz Bay, East Antarctic
<p>This dataset includes the results of flexural and compression tests of sea ice samples conducted in the cold laboratory. The ice samples were prepared using a landfast sea ice extracted through the whole ice thickness in the Prydz Bay, East Antarctic.</p> <p>The files contain the following data fields:</p> <p><strong>Readme</strong> – a detailed description of all data</p> <p><strong>Compression test</strong> – specific details of sea ice compression test including sample information, physical properties, and mechanical results</p> <p><strong>Flexural test</strong> – specific details of sea ice flexural test including sample information, physical properties, and mechanical results</p>
Data set for: Effects of microstructure evolution on compressive strength of silica sand-enhanced oil well cement at a wide temperature range
<p><span>The influence of microstructure of silica-enhanced cement on the mechanical performance of cement is difficult to be described. In this study, we used the scanning electron microscope and image processing method to investigate the relationship between the complicity of cement microstructure and compressive strength under various temperature and curing time conditions. Fractal dimension was applied to describe the complicity of cement. The relationships among compressive strength, fractal dimension, temperature, curing time and pore structure of cement were identified. The results show that curing time of cement directly control the complicity of cement microstructure and compressive strength by altering the pore orientation and macropore ratio in cement. The curing temperature affects the complicity of cement microstructure and compressive strength indirectly by changing the ratio of micropore and small pore. The fractal dimension of silica-enhanced cement shows good correlation with compressive strength. Pore size distribution is the most important factor that influence the complicity of cement matrix and compressive strength of silica-enhanced cement. When building up the macroscopic mechanical performance model of cement, we should consider the influence of pore size distribution in cement under different curing temperatures and times on the complicity of cement microstructure. </span></p>
Detailed dataset and code generation for Artificial intelligence-based modelling of compressive strength of slurry infiltrated fiber concrete
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Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method
<p>Prediction of Compressive Strength of Concrete with Silica, Ash and Fiber Using Fuzzy Logic Method</p> <p>References</p>
Training-induced Muscle Strength and Its Role in Interface Pressure in Inelastic Compression
ClinicalTrials.gov study NCT05023642. IPD Sharing: NO. Countries: 1. Publications: 5.
Hyaluronic acid-binding, anionic, nanoparticles inhibit ECM degradation and restore compressive strength in aggrecan-depleted articular cartilage explants
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Data set for: Effects of microstructure evolution on compressive strength of silica sand-enhanced oil well cement at a wide temperature range
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Fluoride Release,Compressive Strength and Clinical Performance of a Bioactive Restorative Material in ART
ClinicalTrials.gov study NCT03788616. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Bending strength, compressive strength, and impact strength of POM after different ageing time at 100 ºC
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Raw results of all tests (tensile strength in bending, compression, modified Chapelle and consistency index).
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