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16 results for “In situ stress”
Effects of Periodic Normal Stress Oscillations on Frictional Properties of Simulated Natural Fault Gouges under In Situ P-T Conditions
<p>Files named by in a format of "Uxxx_xx_xxMPa_xxC" refer to the original mechanical data recorded during experiment.</p> <p>The compressed package includes the files to perform numerical modeling, modeling results and the experimental data for comparison. To replicate the numerical modeling, readers can open the COMSOL project file (".mph" file) using COMSOL software (version >5.4) then input the parameters for the boundary conditions, such as the temperature, load-point velocity, oscillation amplitude and frequency. </p>
Data from: A pioneering experimental investigation of a novel in-situ dynamic characterization of the tensile/compression stress-strain mechanism on human plantar soft tissue
<p><span>We have conducted the first in-situ and in-vivo dynamic mechanical test on human plantar soft tissue. A dynamic mechanical analysis (DMA)-like device has been invented to perform the in-situ and in-vivo stress-strain tests on living plantar in order to characterize the material mechanism of biological soft tissue, whereas it is nearly impossible to prepare a sample from a living body for classical tests. A series of pioneering tests of tensile/compression on the heel of ten volunteers are reported, with the reference of tests on mimic foot model made by silicon rubber, standard silicon rubber brick sample, and finite elementary analysis. In addition to demonstrating the effectiveness of the device and approach, interesting correlations between the results and clinic data were found, suggesting considerable potential for the invention in future research.</span></p>
Stress-State Differences between Sedimentary Cover and Basement of the Songliao Basin, NE China: In-situ Stress Measurements at 6–7 km depth of an ICDP Scientific Drilling Borehole (SK-II)
<p>The excel file is the original ASR test data (Nine samples, 6293 - 6846 m vertical depth).</p>
Borehole observation, in-situ stress and breakout simulation datasets for BS34 in the Xinchang site, Beishan region
<p>Two datasets are available here as supplementary materials for the study of borehole breakout development.</p> <p>For the dataset 'Borehole Data.zip', it contains the natural fractures, breakouts, and drilling-induced tensile fractues, and mini-frac test results obtained from borehole BS34 in the Xinchang site, Beishan region. For the dataset 'Simulation Data.zip', it includes the simulated stress evolution associated with breakout development in the vicinity of a pre-existing frature, and simulated breakout geometry using a finite element model.</p>
In-situ stress data set of Xianshuihe fault zone, Southwest China.
<p>306 sets of in situ stress data were collected from 48 sites on the Xianshuihe fault zone, used in literature and reports from 1982 to 2022. The detailed data of the in-situ stress include Stress value、Direction、Depth、Longitude、Latitude, Testing method, and the data source. Of these, the in-situ stress measurement methods include hydraulic fracturing, stress relief, acoustic emission, and stress recovery.</p>
Simulation data for paper "Estimation of in-situ stresses and friction properties of rock masses based on natural fractures conductivity: a case study from C0002 well at Nankai Trough zone, offshore Shikoku Island, Japan"
<p>Supplementary files for Dubinya, Tikhotskiy paper entitled "Estimation of in-situ stresses and friction properties of rock masses based on natural fractures conductivity: a case study from C0002 well at Nankai Trough zone, offshore Shikoku Island, Japan" prepared for submission to Journal of Geophysical Research: Solid Earth.</p> <p> </p> <p>File "Initial data on fractures.csv" contains initial data on conductivity of natural fractures, their deoths and spatial orientations</p> <p>Files "Unit N, (un)limited friction" contain results of Monte-Carlo simulations completed based on data from fractures from N-th interval. Friction coefficient is varied either between 0 and 1 (unlimited friction), or 0.4 and 0.6 (limited friction).</p>
Data from: A pioneering experimental investigation of a novel in-situ dynamic characterization of the tensile/compression stress-strain mechanism on human plantar soft tissue
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Imaging elastodynamic and hydraulic properties of in-situ fractured rock: An experimental investigation exploring effects of dynamic stressing and shearing
<p>We describe laboratory experiments to elucidate the relationship between nonlinear elasticity and permeability evolution in fractured media subjected to local stress perturbations. This study is part of an effort to image fluid pathways and fracture properties using active-source acoustic monitoring during fluid injection and shear of rough fractures. Experiments were conducted with L-shaped samples of Westerly granite fractured in-situ under tri-axial conditions with deionized water subsequently circulated through the resulting fractures. After in-situ fracturing, we separately imposed oscillations of the applied normal stress and pore pressure with amplitudes ranging from 0.2 to 1 MPa and frequencies from 0.1 to 40 Hz. During these dynamic perturbations an array of piezoelectric transducers continuously transmitted ultrasonic pulses across the fracture to monitor the evolving elastic response. We interpret the resulting evolution of elastic wave properties in the context of elastic nonlinearity and relate the estimated nonlinearity parameters to the relative change in permeability of the fractured media. Fracture roughness is then altered in-situ by shearing, with the generation of breccia and wear products. We document the evolution of permeability and fracture contact stiffness as a function of dynamic stressing and shear offset and discuss our findings in relation to fractures in Earth's crust.</p>
Data from: Reservoir in-situ stress state determined by retrieved granite cores from the Gonghe enhanced geothermal system and its implications, northeastern Tibetan Plateau, China
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Grain-Scale Stress Heterogeneity in Concrete from In-Situ X-Ray Measurements
<p>All data in this repository is described in Data-Description_Zenodo.docx.</p> <p> </p>
Data from: A novel in-situ stress measurement method based on acoustic emission kaiser effect: a theoretical and experimental study
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Measuring Stress in Women With Newly Diagnosed Stage I, Stage II, or Stage III Breast Cancer or Ductal Carcinoma In Situ of the Breast
ClinicalTrials.gov study NCT00665782. IPD Sharing: Not stated. Countries: 1. Publications: 0.
K-EmoPhone, A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels
<p><em><strong>ABSTRACT: </strong></em>With the popularization of low-cost mobile and wearable sensors, prior studies have utilized such sensors to track and analyze people's mental well-being, productivity, and behavioral patterns. However, there still is a lack of open datasets collected in-the-wild contexts with affective and cognitive state labels such as emotion, stress, and attention, which would limit the advances of research in affective computing and human-computer interaction. This work presents <em>K-EmoPhone</em>, an in-the-wild multi-modal dataset collected from 77 university students for seven days. This dataset contains (i) continuous probing of peripheral physiological signals and mobility data measured by commercial off-the-shelf devices; (ii) context and interaction data collected from individuals' smartphones; and (iii) 5,582 self-reported affect states, such as emotion, stress, attention, and disturbance, acquired by the experience sampling method. We anticipate that the presented dataset will contribute to the advancement of affective computing, emotion intelligence technologies, and attention management based on mobile and wearable sensor data.</p> <table> <tbody> <tr> <td> <p>Last update: Apr. 12, 2023</p> <p>-----------------------------</p> <p>* Version 1.1.2 (Jun. 3, 2023)</p> <ul> <li>Published the dataset at Scientific Data Journal.</li> <li>Updated end-user license agreement.</li> </ul> <p>* Version 1.1.1 (Apr. 12, 2023)</p> <ul> <li>Updated file description and abstract.</li> </ul> <p>* Version 1.1.0 (Feb. 5, 2023)</p> <ul> <li>Updated the quality of the sensor data information. </li> <li>Deleted three participants (<em>P27, P59, P65</em>) due to the low quality issue.</li> </ul> <p>* Version 1.0.0 (Aug. 3, 2022)</p> <ul> <li>Added <em>P##.zip</em> files, where each P## means the separate participant.</li> <li>Added <em>SubjData.zip</em> file, which includes individual characteristics information and labels.</li> </ul> </td> </tr> </tbody> </table> <ul> </ul>
Analysis of the Stress Induced by in Situ Simulation
ClinicalTrials.gov study NCT02494089. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Datasets of in situ stress and fracture information of four deep scientific boreholes
<p>The data sets contain four MS Excel files with the in situ stress and fracture information from four deep scientific boreholes (Cajon Pass, Long Valley, Nevada Test Site (NTS), and German Continental Deep Drilling Program (KTB)). The raw data sets were originally provided by Prof. Mark Zoback at Stanford University, which are listed here to support 'Determination of the Crustal Friction and State of Stress in Deep Boreholes using Hydrologic Indicators' by S Zhang, X Ma, and M Zoback.</p> <p>In each Excel file, gradients of the three principal stresses (<em>S</em><sub>V</sub>, <em>S</em><sub>H</sub>, <em>S</em><sub>h</sub>) and pore pressure are provided (unit: MPa / m), where is <em>S</em><sub>V</sub> the (vertical) overburden stress, <em>S</em><sub>H</sub> is the maximum horizontal stress, and <em>S</em><sub>h</sub> is the minimum horizontal stress. The orientation (theta, measured from North) of <em>S</em><sub>H</sub> is also given so that the in situ stress tensor is available for each borehole (interval).</p> <p>Fractures identified by acoustic televiewer (ATV) logs are listed with their depth, dip direction (from North), dip (from horizontal plane), and hydraulic conductivity. Based on the stress gradients, the shear and normal stresses of each fracture are also calculated and presented in each file. In particular, the hydraulic conductivity of each fracture is indexed by '0' (non-conductive/impermeable) or '1' (conductive/permeable), which was previously determined by temperature logs (Barton et al., 1995, Geology; Ito and Zoback, 2000, GRL).</p> <p>Citation:</p> <p> "Zhang, S., Ma, X., & Zoback, M. (2022). Datasets of in situ stress and fracture information of four deep scientific boreholes [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.6585196"</p>
In-situ stress data set of eastern margin of Qinghai-Tibet Plateau
<p>A total of 1181 sets of in-situ stress data were collected from 111 measuring points located at the eastern margin of the Qinghai-Tibet Plateau</p>
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