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207 results for “friction”
Data from: Temperature-dependent mechanical behavior of aluminum AM structures generated via multi-layer friction surfacing
<p>This dataset contains the data for the publication " Temperature-dependent mechanical behavior of aluminum AM structures generated via multi-layer friction surfacing "</p>
The Stability Transition from Stable to Unstable Frictional Slip with Finite Pore Pressure
<p>The datasets for Affinito et al., 2023 manuscript submitted to GRL. Each experiment is was collected on a 24-bit recorder and 16 channels for hydromechanical data. The purpose of these experiments was to document the transition from stable sliding to unstable stick-slip fricitional sliding. Experiments were done on quartz gouges, with constant pore pressure conditions. </p>
Dataset corresponding to the publication: Friction and slip measured at the bed of an Antarctic ice stream
<p>The following data is included here, which comprises the data presented in the publication:<br> Hudson, T. S., Kufner, S., Brisbourne, A. M., Kendall, J., Smith, A. M., Arthern, R., & Alley, R. (2023). Friction and slip measured at the bed of an Antarctic ice stream. Nature Geoscience.</p> <p>Files included are:<br> all_icequakes_2018to2019.csv - A catalogue of the icequakes used in the study.<br> cluster_????.csv - csv files containing the results for each icequake, grouped by cluster (i.e. one csv file per cluster).<br> slip_rate_movie.mp4 - A movie of slip-rate for each icequake through time.</p> <p>Headers for the files are as follows:<br> ------------------------------------- all_icequakes_2018to2019.csv file -------------------------------------<br> origin_time - Origin time of icequake, in UTC time.<br> Mw - Moment magnitude.<br> Mw_err - Error in Mw.<br> fc - Corner frequency (Hz).<br> fc_err - Error in corner frequency.<br> Q - Quality factor (measure of attenuation).<br> Q_err - Error in Q.<br> inter-event_time_s - Inter-event time between this icequake and the previous icequake (s).<br> stress_drop - Stress-drop of icequake (Pa).<br> stress_drop_err - error in stress-drop.<br> lat - Latitude (decimal degrees).<br> lon - Longitude (decimal degrees).<br> x (km) - x grid location (km).<br> y (km) - y grid location (km).<br> z (km bsl) - Depth (km bsl).<br> x_err (km) - Error in x (km).<br> y_err (km) - Error in y (km).<br> z_err (km) - Error in z (km).</p> <p>------------------------------------- cluster_XXXX.csv file -------------------------------------<br> mean_Mw - Mean moment magnitude for icequake from all receivers.<br> mean_fc - Corner frequency for icequake from all receivers (Hz).<br> stdev_Mw - Standard deviation in Mw.<br> stdev_fc - Standard deviation in corner-frequency.<br> mean_Q - Mean Q for icequake from all receivers.<br> stdev_Q - Standard deviation in Q.<br> n_obs - Number of receivers used to calculate above means.<br> lat - Latitude of icequake.<br> lons - Longitude of icequake.<br> depths - Depth of icequake (km bsl).<br> x - x location of icequake (km).<br> y - y location of icequake (km).<br> zs - z location of icequake (km bsl).<br> origin_time - Origin time of icequake (UTC time).<br> origin_time_days - Origin time in days relative to 1st January 2019 (days).<br> inter-event_time_s - Inter-event time from previous to current event (s).<br> stress_drop - Stress drop (Pa)<br> uncertainty_stress_drop - Uncertainty in stress-drop.<br> M_0 - Seismic moment release (Nm).<br> uncertainty_M_0 - Uncertainty in M_0.<br> fault_radius_m - Fault radius, in metres.<br> uncertainty_fault_radius_m - Uncertainty in fault radius (m).<br> slip_ice_m - Slip in the ice (m).<br> slip_till_m - Slip in the till (m).<br> uncertainty_slip_ice_m - Uncertainty in slip_ice_m.<br> uncertainty_slip_till_m - Uncertainty in slip_till_m.<br> RSF_v/v_0 - v/v_0 calculated for the rate-and-state model.<br> RSF_sigma - Normal stress calculated for the rate-and-state model (Pa).<br> RSF_tau - Shear-stress calculated for the rate-and-state model (Pa).<br> uncertainty_RSF_v/v_0 - Uncertainty in RSF_v/v_0.<br> uncertainty_RSF_sigma - Uncertainty in RSF_sigma.<br> uncertainty_RSF_tau - Uncertainty in RSF_tau.<br> RSF_G* - Effective shear-modulus calculated for the rate-and-state model (Pa).<br> RSF_Gb - Bed shear modulus calculated for the rate-and-state model (Pa).<br> RSF_slip_m - Slip calculated for the rate-and-state model (Pa).<br> uncertainty_RSF_G* - Uncertainty in RSF_G*.<br> uncertainty_RSF_Gb - Uncertainty in RSF_Gb.<br> uncertainty_RSF_slip_m - Uncertainty in RSF_slip_m.</p>
Data sets for temperature rise due to frictional heat generation during a sliding contact between an elastic particle and a rigid substrate
<p>This dataset contains essential data from the Finite Element Method model predicting heat generation due to friction during the sliding contact between an elastic particle and a rigid substrate. Part of this data was processed and presented in an article under review for journal publication. The following is the description of the data files and the associated Figure in the original paper.</p> <p>'Temp_CoeffFric_01_055.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various friction coefficient values (0.1-0.55).</p> <p>'Temp_Load_001_01.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various normal load values (0.01-0.1 N).</p> <p>'Temp_Vel_02_1.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various sliding velocity values (0.2-1 m/s).</p> <p>'Temp_TC_5_100.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various thermal conductivity values. (i.e. 5-100 W/m K).</p> <p>'Temp_HC_100_1600.xlsx' data for temperature evolution for the nodes in the contacts and along the particle radius for various thermal conductivity values. (i.e. 100-1600 J/kg K).</p> <p> </p>
Data from: Fatigue crack propagation in AA5083 structures additively manufactured via multi-layer friction surfacing
<p>This dataset contains the data for the publication " Fatigue crack propagation in AA5083 structures additively manufactured via multi-layer friction surfacing"</p>
Experimental investigation of the effects of particle shape and friction on the mechanics of granular media
<p>This dataset corresponds to the raw data and experimental measurements of the PhD thesis "Experimental investigation of the effects of particle shape and friction on the mechanics of granular media" of Gustavo Pinzón (2023, Université Grenoble Alpes), available at: <a href="https://hal.science/tel-04202827v1">https://hal.science/tel-04202827v1</a>. </p><p>The experiments correspond to a drained triaxial compression test of cylindrical granular specimens, a common testing procedure used in soil mechanics to characterise the mechanical response of a specimen under deviatoric loading. Each specimen is 140mm in height and 70mm in diameter, and is composed of more than 20000 ellipsoidal particles of a given aspect ratio and interparticle friction. The dataset comprises the test of six specimens, as a result of the combination of 3 particles shapes (Flat, Medium, and Rounded) and 2 values of interparticle friction (Rough and Smooth). A naming system for the specimens is adopted to reflect the morphology of the composing particles (e.g., the test EFR correspond to the specimen with Flat and Rough particles). Further details on the experimental methods are found in Ch. 2 of the thesis.</p><p> The compression tests are performed inside the x-ray scanner of Laboratoire 3SR in Grenoble (France), where the specimens are scanned each 0.5% of axial shortening, at an isotropic voxel size of 100 micrometer per pixel. The obtained radiographies are reconstructed using a Filtered Back Projection algorithm, using the software given by the x-ray cabin manufacturer (RX Solutions, France). The series of obtained 16-bit greyscale 3D images are processed with the open source software <a href="https://spam-project.gitlab.io/spam/index.html">spam</a>, version 0.6.2. The coordinate system of all the images is ZYX, where Z corresponds to compression direction. Further details on the image analysis techniques are found in Ch. 3 of the thesis.</p><p>Additional greyscale images, raw projections, and x-ray tomography files are available upon request. For visualisation purposes, the 3D images in .tif format can be opened using <a href="https://imagej.net/software/fiji/">Fiji</a>. </p>
Data from: Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys
<p>This dataset contains the data for the publication " Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys".</p>
Ramp-Flat and Splay Faulting Illuminated by Frictional Afterslip Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake
<p>The postseismic InSAR data used in the manuscript "Frictional Afterslip along a Complex Fault Structure Following the 2017 Mw 7.3 Sarpol-e Zahab Earthquake Revealed by InSAR and 2-D Finite Element Models".</p>
Data from: pH-Dependent friction of Polyacrylamide hydrogels
Open the record for dataset details and reuse information.
Photoresponsive Hydrogel Friction
Open the record for dataset details and reuse information.
Sponge-like rigid structures in frictional granular packings
<p>We show how rigidity emerges in experiments of sheared two-dimensional frictional granular materials by using generalizations of two methods for identifying rigid structures. Both approaches, the force-based dynamical matrix and the topology-based rigidity percolation, agree with each other and identify similar rigid structures. As the system becomes jammed, at a critical contact number z = 2.4±0.1, a rigid backbone interspersed with floppy, particle-filled holes of a broad range of sizes emerges, creating a sponge-like morphology. While the pressure within rigid structures always exceeds the pressure outside the rigid structures, they are not identified with the force chains of shear jamming. These findings highlight the need to focus on mechanical stability arising through arch structures and hinges at the mesoscale.</p>
Comparison of Friction Properties Among Diverse Conventional-Ligating Lingual Bracket Systems According To Tooth Displacement During Leveling And Alignment: An In Vitro Mechanical Study
<p>The purpose of this study was to evaluate the effects of tooth displacement on frictional force when conventional-ligating lingual brackets (CL-LB), CL-LBs with narrow bracket width and customized CL-LBs were used with leveling/alignment wire. </p> <p>CL-LBs (7<sup>th</sup>Generation), CL-LBs with narrow bracket width (STb) and customized CL-LBs (Incognito) were tested under three conditions of tooth displacement [no displacement (control); 1mm palatal displacement (PD) of the maxillary right lateral incisor (MXLI); and 1mm gingival displacement (GD) of the maxillary right canine (MXC)](9 groups, <em>n</em>=6 per group). Static (SFF) and kinetic frictional forces (KFF) were measured in a stereolithographic typodont system and artificial saliva while drawing a 0.016-inch copper or super-elastic nickel-titanium archwire at a speed of 0.5 mm/min for 5 minutes at 36.5°C.</p>
Coseismic frictional heating with concomitant hydrothermal fluid circulation revealed by rock magnetic properties of fault rocks from the rupture of the 2008 Wenchuan earthquake, China
<p>This repository contains the rock magnetic data associated with the manuscript entitled "Coseismic frictional heating with concomitant hydrothermal fluid circulation revealed by rock magnetic properties of fault rocks from the rupture of the 2008 Wenchuan earthquake, China" by Yan et al. published in <i>Geochemistry, Geophysics, Geosystems, </i>24, e2023GC011223. https://doi.org/10.1029/2023GC011223</p>
Data from: Friction and instability of glaucophane gouges at blueschist temperatures support abundance of intermediate-depth earthquakes
<p>Fluid release from the hydraulically-confined dehydration of blueschist minerals may significantly elevate fluid pressures and concomitantly reduce effective stresses. This is a viable mechanism to explain brittle failure and frictional instability, and it is a possible explanation for intermediate-depth earthquakes in cold subduction zones. We examine this hypothesis for glaucophane – a key index mineral for blueschist facies – at lower confining stresses where behavior is poorly understood. We conduct laboratory shear tests on glaucophane gouge at temperatures of 100–500<em>℃</em> and effective normal stresses of 50–200 <em>MPa</em>, to explore the controls of temperature, stresses and excess pore fluid pressures on fault friction. Frictional strength of glaucophane gouge at representative temperatures and stresses is ~0.70 and insensitive to temperature with a slight increase in friction coefficient at lower effective stresses. Elevating temperature promotes a transition from velocity-strengthening to mild velocity-weakening behavior, indicating the destabilizing effect of high-temperature downdip in subduction zones. Reducing effective normal stress or concomitantly elevating pore fluid pressure, potentially sourced from dehydration reactions, further strengthens the velocity-weakening response and would be manifest as moderate-sized earthquakes. This observed instability at higher temperatures or lower stresses is indexed with and accompanied by denser distributions of strongly- to moderately-localized shears in the microstructures – congruent with the observed mechanical response. Our results support the potential for enhanced unstable sliding of glaucophane gouges at lower effective stresses and at blueschist facies temperatures - and have significant implications for understanding the abundance of intermediate-depth earthquakes apparent in cold subduction zones.</p>
The role of bottom friction in mediating the response of the Weddell Gyre circulation to changes in surface stress and buoyancy fluxes
<p>This repository contains code to reproduce the figures in the paper titled "The role of bottom friction in mediating the response of the Weddell Gyre circulation to changes in surface stress and buoyancy fluxes" published in the Journal of Physical Oceanography (DOI: <a href="https://doi.org/10.1175/JPO-D-23-0165.1">https://doi.org/10.1175/JPO-D-23-0165.1</a>), as well as the barotropic vorticity budget terms for each of simulation in the paper.</p>
Frictional properties of feldspar-chlorite altered gouges and implications for fault reactivation in hydrothermal systems
<p>As particularly common minerals in granites, the presence of feldspar and altered feldspar-chlorite gouges at hydrothermal conditions have important implications in fault strength and reactivation. We present laboratory observations of frictional strength and stability of feldspar (K-feldspar and albite) and altered feldspar-chlorite gouges under conditions representative of deep geothermal reservoirs to evaluate the impact on fault stability. Velocity-stepping experiments are performed at a confining stress of 95 MPa, pore pressures of 35–90 MPa and temperatures of 120–400°C representative of in situ conditions for such reservoirs. Our experiment results show that the feldspar gouge is frictionally strong (<em>μ</em>~0.71) at all experimental temperatures (~120–400℃) but transitions from velocity-strengthening to velocity-weakening at <em>T</em>>120°C. Increasing the pore pressure increases the friction coefficient (~0.70-0.87) and the gouge remains velocity weakening, but this weakening decreases as pore pressures increase. The presence of alteration-sourced chlorite leads to a transition from velocity weakening to velocity strengthening in the mixed gouge at experimental temperatures and pore pressures. As a ubiquitous mineral in reservoir rocks, feldspar is shown to potentially contribute to unstable sliding over ranges in temperature and pressure typical in deep hydrothermal reservoirs. These findings emphasize that feldspar minerals may increase the potential for injection-induced seismicity on pre-existing faults if devoid of chlorite alteration.</p>
Supplementary animations for "Dynamical friction in self-interacting ultralight dark matter"
<p>Animations to supplement "Dynamical friction in self-interacting ultralight axion dark matter", <em>Phys.Rev.D</em> 109 (2024) 6, 063501.</p> <p>These animations are also available from <a href="https://www.youtube.com/playlist?list=PLHrf0iQS5SY6COihRVYJkz31smUyDvFwW">https://www.youtube.com/playlist?list=PLHrf0iQS5SY6COihRVYJkz31smUyDvFwW</a>.</p>
Data from: Spectral wear modelling of rubber friction on a hard substrate with large surface roughness
<p>Soft-hard matter friction is a long-standing tribology problem that remains unclarified, requiring engineers to empirically predict the wear life. To clarify this issue, this study examines the transient running-in regime of rubber friction on a hard rough substrate and models the temporal wear progression using the spectrum curves of surface roughness for both materials. Performing a series of friction tests and three-dimensional surface-height measurements, the time-dependent behaviours of the power spectral densities (PSDs) are divided into two phases, namely the initial non-steady and long-term steady phases. The detailed spectral analyses of worn rubber surfaces in the initial phase lead to a blended PSD function between self-affine and K-correlation surface models, consisting of one variable (the Hurst exponent) that is saturated by the substrate self-affinity. Supported by the Greenwood–Williamson theory concerning rough contact mechanics, the volumetric estimate with the blended PSD function is used to assess the volume rate of wear debris in the steady phase, which is validated experimentally. These findings not only improve the wear predictions of soft materials from previous measurements of worn surfaces but also help clarify the constrained multiscale mechanism of wear.</p>
Data repository for: Frictional weakening leads to unconventional singularities during dynamic rupture propagation
<p>Laboratory data to accompany publication <span>Frictional weakening leads to unconventional singularities during dynamic rupture propagation</span>, submitted to Earth and Planetary Science Letters.</p> <p>For any further queries please contact federica.paglialunga@epfl.ch</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>
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International Brain Laboratory public data
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OpenNeuro
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