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22 results for “Geotechnics”
Dataset for "Machine learning predictions on an extensive geotechnical dataset of laboratory tests in Austria"
<p>This dataset comprises over 20 years of geotechnical laboratory testing data collected primarily from Vienna, Lower Austria, and Burgenland. It includes 24 features documenting critical soil properties derived from particle size distributions, Atterberg limits, Proctor tests, permeability tests, and direct shear tests. Locations for a subset of samples are provided, enabling spatial analysis.</p> <p>The dataset is a valuable resource for geotechnical research and education, allowing users to explore correlations among soil parameters and develop predictive models. Examples of such correlations include liquidity index with undrained shear strength, particle size distribution with friction angle, and liquid limit and plasticity index with residual friction angle.</p> <p>Python-based exploratory data analysis and machine learning applications have demonstrated the dataset's potential for predictive modeling, achieving moderate accuracy for parameters such as cohesion and friction angle. Its temporal and spatial breadth, combined with repeated testing, enhances its reliability and applicability for benchmarking and validating analytical and computational geotechnical methods.</p> <p>This dataset is intended for researchers, educators, and practitioners in geotechnical engineering. Potential use cases include refining empirical correlations, training machine learning models, and advancing soil mechanics understanding. Users should note that preprocessing steps, such as imputation for missing values and outlier detection, may be necessary for specific applications.</p> <p><strong>Key Features</strong>:</p> <ul> <li><strong>Temporal Coverage</strong>: Over 20 years of data.</li> <li><strong>Geographical Coverage</strong>: Vienna, Lower Austria, and Burgenland.</li> <li><strong>Tests Included</strong>: <ul> <li>Particle Size Distribution</li> <li>Atterberg Limits</li> <li>Proctor Tests</li> <li>Permeability Tests</li> <li>Direct Shear Tests</li> </ul> </li> <li><strong>Number of Variables</strong>: 24</li> <li><strong>Potential Applications</strong>: Correlation analysis, predictive modeling, and geotechnical design.</li> </ul> <p><strong>Technical Details</strong>:</p> <ul> <li>Missing values have been addressed using K-Nearest Neighbors (KNN) imputation, and anomalies identified using Local Outlier Factor (LOF) methods in previous studies.</li> <li>Data normalization and standardization steps are recommended for specific analyses.</li> </ul> <p><strong>Acknowledgments</strong>:<br>The dataset was compiled with support from the European Union's MSCA Staff Exchanges project 101182689 Geotechnical Resilience through Intelligent Design (GRID).</p>
Bathymetry, sediment thickness, and geotechnical-geophysical properties of sediments of Lake Seracchi in Rutor proglacial area
<p>This dataset contains the data of a geophysical-geotechnical investigation of Lake Seracchi (L4) of the Rutor basin, Aosta Valley, Italy, The fieldwork was mainly carried out in 10-11 July 2021.</p> <p>The data are:</p> <p>.tif ready-to-use maps of the bathymetry and the sediment thickness.</p> <p>Time Domain Reflectometry (TDR) data of electrical permittivity and conductivity of the lake sediments</p> <p>Geotechnical analyses, such as Grain Size Distribution and Atterberg's Limits, performed on the lake sediments.</p> <p>The details are reported in the README .txt file.</p> <p> </p>
2009 LENS geotechnical core results
2009 LENS Geotechnical and Biomass Results from 72 hand auger cores (50 cm depth) retrieved from LENS and TIDE project creeks (Sweeney, West, Clubhead, Nelson) in Rowley, MA. Thirty-six of these cores were processed for bulk density and bulk organic content (from loss on ignition, LOI) ; results are presented here. The remainder 36 auger cores were processed for aboveground biomass and belowground biomass and results are presented in files STP-LENS-2009-above-biomass and STP-LENS-2009-below-biomass, respectively.
Validation of liquefaction retrofitting techniques from geotechnical centrifuge small scale models
<p>The dataset is composed by the results of 37 dynamic geotechnical centrifuge tests performed in the frame of the project:</p> <p>H2020-DRA-2015 <strong>LIQUEFACT: </strong><em>Assessment and mitigation of Liquefaction potential across Europe: a holistic approach to protect structures/infrastructure for improved resilience to earthquake-induced Liquefaction disasters.</em></p> <p>The experiments firstly reproduced on reduced scale models the liquefaction conditions and secondly tested the effectiveness of three mitigation techniques: vertical drains, horizontal drains, induced partial saturation.</p> <p>The dataset is strictly linked to the document <strong>"DELIVERABLE D4.2 - Report on validation of retrofitting techniques from small scale models"</strong>. This document is of public access and can be downloaded from the website of the project <a href="http://www.liquefact.eu/">www.liquefact.eu</a></p> <p>The document D4.2 illustrates the testing programme, the objectives, the experimental procedures and gives the elements for the interpretation of data.</p>
FIGURE 5. 1-6 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 5. 1-6. Photographic illustrations arranged in order of gradual morphological transformation of simple (1) to compound mud-mounds (5-6) highlighting some possible morphological variants. Note greenish brown biomat coating on mud-mounds (1 and 5) that are microbially stabilized. The grey coloured mounds are yet to be stabilized.
FIGURE 4. 1 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 4. 1. Uca lactea burrow mouth with excavated loose sediment heaves or domes in relatively dry area. 2. Uca lactea mud chimney and surrounding substrate with mud clasts derived from collapsed mud-mounds and sorted out by tidal current, mud cracks and one trace producing crab (arrowed). 3. Ideal simple mud-mound of Uca lactea associated with feeding pellets arranged around burrow openings. 4. Network of Turritella spp. trails as observed after tidal wash out in low grounds. 5. Network of non-branching and radiating worm burrows (finer) in exposed and relatively dry mudflat. 6. Branching worm burrows (thicker) in exposed and relatively dry mudflat.
FIGURE 1. 1 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 1. 1. Regional geological setting of the Bengal Delta Complex with reference to down drift coastal plains incorporating large area covered by modern mangrove forest of Sundarbans, the Bay of Bengal Sea and Quaternary stratigraphy with time-successive palaeocoastlines (modified after Mallick et al., 1972). Note position of studied Bakkhali beach sector. 2. Magnified view of coastal beach sectors with location of study area (marked by red) by the side of a mighty estuary and position (*) of reported Uca marionis mud volcanoes (De, 2009). 3. A field excavation site from study area showing occurrence of soft mud layers below relatively dry and rigid sand layers with sharp contact as specific substrate condition.
FIGURE 2. 1. A in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 2. 1. A field photograph of referred sample area for detailed study showing prolific growth of Uca lactea mudmounds on substrate having varied height, presence of mangrove bushes and spread of living Turritella spp. shells and distal creek. 2. Map prepared from sample study area shows distributions of simple mounds in high ground, compound mounds in low ground, Turritella spp. trails in low ground, mangrove bushes/plants and creek.
FIGURE 7 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 7. Schematic illustration of Uca lactea mud-mound building process as controlled by ground elevation and tidal recession. HTL stands for high tide level.
FIGURE 9 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 9. Vertical height variation curves of simple and compound mud-mounds (total 149 numbers) of Uca lactea in low and high grounds. Curve 1 - compound mounds (30 numbers with average height 14 cm) in low ground; Curve 2 - simple mounds (6 numbers with average height 11 cm) in low ground; Curve 3 - compound mounds (8 numbers with average height 7.5 cm) in high ground and Curve 4 - simple mounds (105 numbers with average height 4 cm) in high ground. Note shorter height of simple mounds relative to compound mounds irrespective of ground height and higher population of simple mounds in high ground and compound mounds in low ground.
FIGURE 8. 1-2 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 8. 1-2. Photographic illustrations of collapsed mounds (arrowed; circular to irregular depressions with central burrow opening(s) as observed immediately after high tide. 3. Rolled out mud balls, lumps and clasts derived from collapsed mud-mounds by tidal action.
FIGURE 6. 1. A in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 6. 1. A cluster of predominantly simple mud-mounds produced in high ground. 2-4. Photographs showing field occurrences of predominantly simple mud-mounds in higher ground. 5-11. Photographs showing field occurrences of predominantly compound mud-mounds in low ground. Note greenish brown biomat coating on mud-mounds (6-9 and 11) as a part microbial stabilization process. 12. Photograph illustrating ground elevation-based distribution of simple and compound mounds. (Note size variations, population density variations, surficial features, substrate ruggedness, variation in substrate elevation and different morphotypes of mud-mounds as observed in natural populations.)
FIGURE 3. 1-2 in Burrowing and mud-mound building life habits of fiddler crab Uca lactea in the Bay of Bengal coast, India and their geological and geotechnical importance
FIGURE 3. 1-2. White paraffin wax casts of the Uca lactea burrows in natural position in the field. Note simple unbranched I-shaped burrow morphology with lower bulged portion and narrow apertural neck. 3. Uca lactea simple mud-mound with a central circular burrow aperture. 4-5. Uca lactea compound mud-mounds with multiple circular to elliptical burrow apertures. 6. A compound mud-mound with projected down mud tongues (arrowed) denoting high water content of the mud slur. 7. Mud-mounds with apertural and rolled out mud lumps (arrowed) indicating low water content of the mud slur. 8. Mud-mound with mud rod (arrowed) ejected out of burrow mouth indicating paste-like viscosity of the mud slur. 9-11. Serial horizontal sections of mud-mound showing successive appearance of burrow openings (arrowed): one in top and three in base level showing downward bulging without any sign of convergence.
Code and data repository for the role of topography, geotechnical layering, and attenuation on ground motion prediction
<p>Data and scripts to reproduce research on the influence of topography, geotechnical layer, and attenuation on ground motion prediction in Salton Trough.</p>
Interpretable Geotechnical Artificial Intelligence (XGeoT-AI) Application to Demystify Image Recognition of Soil Cracks [Datasets]
<p>Here is the test data for the paper "Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition".</p>
Experimental study on the benefits of nature-based solutions for debris-flow mitigation via synergistic eco-geotechnical measures
<p>This supporting information provides the supplementary data (Raw data and videos) which were used to describe the effects of integrated eco-geotechnical measures on debris flow severity, flow rate, velocity, and particle size by various small-scale flume experiments.</p>
Geotechnical and hyperspectral dataset for gold tailings
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The raw research data for geotechnical survey carried out at Iju-Itaogbolu/Ikere road
<p>Soil samples were collected for geotechnical analysis from six different locations within the area of study. The interpretation of the geophysical survey results informs the choice of the sampling points. Geotechnical investigation procedures were restricted to the depth of the undisturbed soil. Soil samples were collected using a chisel and spade for soil excavation. The pits were dug to about a meter depth, and samples were taken at 0.5 m and 1.0 m depths from each pit. Natural moisture content, sieve analysis, compaction, atterberg limits, and specific gravity tests were performed on the samples. Mechanical sorting helped in evaluating the particle size distribution of the dried coarse fraction's gravel and sand proportions. The atterberg limits (Consistency Limit Tests) were used to determine the plasticity of the cohesive fraction of sieved samples. The consistency limit test includes the linear shrinkage, liquid limit, and plastic limit tests. The difference between the liquid and plastic limits yielded the plasticity index, which represents the moisture content range over which the soil remains plastic. A compaction test used to classify and choose sub-grade materials for use in road construction was also done.</p>
Study on a quantitative method for determining mixing proportion of transparent cemented soil for visual geotechnical model tests
<p>An effective mixing of transparent cemented soil is necessary for visual geotechnical model tests, so a quantitative method for determining mixing proportion of transparent cemented soil was generated in this paper. Firstly, quartz sand, Nanoscale silica powder and N-dodecane mixed 15# white oil were selected as the raw materials, and a series of orthogonal experiments were designed. Concurrently, the main physical and mechanical parameters (volumetric weight γ, internal friction angle φ, cohesion c) of transparent cemented soil were measured, caused by the change of "particle size of quartz sand" and " mass ratios between fumed silica and fused quartz". Subsequently, multiple linear regression equations of various physical and mechanical parameters (γ, φ, c) were obtained by fitting the original test data. Finally, the rationality of multiple linear regression equations was proved. The research results indicated: (1) the volumetric weight changes from 16.13kN/m<sup>3</sup> to 12.53kN/m<sup>3</sup>, the Internal friction angle is between 27.07° and 14.82°, and the cohesion varies from 31kPa to 2.3kPa, the parameters meet the similar requirements of the surrounding rock (grade ⅳ and ⅴ) and clay; (2) The values of Multiple R values (all greater than 0.88) and the Significance F value (all close to 0) proves the three regression equations were valid; (3) Combining the three regression equations and particle size of quartz sand, the mass ratio between fumed silica and fused quartz and geometry similarity constant were solved. All the conclusions mentioned could provide theoretical support and data reference for transparent soil model test implementation.</p>
Study on a quantitative method for determining mixing proportion of transparent cemented soil for visual geotechnical model tests
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