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 StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data (20)
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 UnsteadyState Contact Angle Hysteresis during Droplet Oscillation in Capillary Pores: Theoretical Model and VOF Simulation  Data (1)
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Articles 1  30 of 3472
FullText Articles in Physical Sciences and Mathematics
Ps Series, Pingxin Xia, Longtan Shao, Wen Deng
Ps Series, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘PS’ and ‘PF’ spreadsheets are the data of the prediction and calibration tests. (The data in this series are overall stress and strain information).
Pf7, Pingxin Xia, Longtan Shao, Wen Deng
Pf7, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘PS’ and ‘PF’ spreadsheets are the data of the prediction and calibration tests. (The data in this series are overall stress and strain information).
T111, Pingxin Xia, Longtan Shao, Wen Deng
T111, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
Pf6, Pingxin Xia, Longtan Shao, Wen Deng
Pf6, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘PS’ and ‘PF’ spreadsheets are the data of the prediction and calibration tests. (The data in this series are overall stress and strain information).
T154, Pingxin Xia, Longtan Shao, Wen Deng
T154, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
Dem, Pingxin Xia, Longtan Shao, Wen Deng
Dem, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘DEM’ spreadsheet is the simulation results. The test information of the numerical samples is included in it.
T113, Pingxin Xia, Longtan Shao, Wen Deng
T113, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
T314, Pingxin Xia, Longtan Shao, Wen Deng
T314, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
T144, Pingxin Xia, Longtan Shao, Wen Deng
T144, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
T414, Pingxin Xia, Longtan Shao, Wen Deng
T414, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
T112, Pingxin Xia, Longtan Shao, Wen Deng
T112, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
T134, Pingxin Xia, Longtan Shao, Wen Deng
T134, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
Strain Field_X, Pingxin Xia, Longtan Shao, Wen Deng
Strain Field_X, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘Strain field_x’ spreadsheet is the radial strain information of all the nodes. The first two columns of data are location information of the node in pixel coordinates. The third column is the information recorded at the first time, the fourth column is the information recorded at the second time, and so on.
T124, Pingxin Xia, Longtan Shao, Wen Deng
T124, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
Pf5, Pingxin Xia, Longtan Shao, Wen Deng
Pf5, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘PS’ and ‘PF’ spreadsheets are the data of the prediction and calibration tests. (The data in this series are overall stress and strain information).
T214, Pingxin Xia, Longtan Shao, Wen Deng
T214, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
T114, Pingxin Xia, Longtan Shao, Wen Deng
T114, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
Pf Series, Pingxin Xia, Longtan Shao, Wen Deng
Pf Series, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘PS’ and ‘PF’ spreadsheets are the data of the prediction and calibration tests. (The data in this series are overall stress and strain information).
T514, Pingxin Xia, Longtan Shao, Wen Deng
T514, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘T’ series spreadsheets are the raw data of all tests. (The data in this series are overall stress and strain information).
Strain Field_Y, Pingxin Xia, Longtan Shao, Wen Deng
Strain Field_Y, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency of the Deformation Ratio of QuasiElastic Granular Soils under Cyclic Loading  Raw Data
‘Strain field_y’ spreadsheet is the axial strain information of all the nodes. Data format is the same as ‘Strain field_x’
Concentrated Lunar Resources: Imminent Implications For Governance And Justice, Martin Elvis, Alanna Krolikowski, Tony Milligan
Concentrated Lunar Resources: Imminent Implications For Governance And Justice, Martin Elvis, Alanna Krolikowski, Tony Milligan
History and Political Science Faculty Research & Creative Works
Numerous missions planned for the next decade are likely to target a handful of small sites of interest on the Moon's surface, creating risks of crowding and interference at these locations. The Moon presents finite and scarce areas with rare topography or concentrations of resources of special value. Locations of interest to science, notably for astronomy, include the Peaks of Eternal Light, the coldest of the cold traps and smooth areas on the far side. Regions richest in physical resources could also be uniquely suited to settlement and commerce. Such sites of interest are both few and small. Typically ...
UnsteadyState Contact Angle Hysteresis During Droplet Oscillation In Capillary Pores: Theoretical Model And Vof Simulation  Data, Chao Zeng, Wen Deng, Lichun Wang
UnsteadyState Contact Angle Hysteresis During Droplet Oscillation In Capillary Pores: Theoretical Model And Vof Simulation  Data, Chao Zeng, Wen Deng, Lichun Wang
UnsteadyState Contact Angle Hysteresis during Droplet Oscillation in Capillary Pores: Theoretical Model and VOF Simulation  Data
Spreadsheet  Data of Figures 2 through 11.
UnsteadyState Contact Angle Hysteresis During Droplet Oscillation In Capillary Pores: Theoretical Model And Vof Simulation  Supporting Information, Chao Zeng, Wen Deng, Lichun Wang
UnsteadyState Contact Angle Hysteresis During Droplet Oscillation In Capillary Pores: Theoretical Model And Vof Simulation  Supporting Information, Chao Zeng, Wen Deng, Lichun Wang
Research Data
Contact angle hysteresis (CAH) is a critical phenomenon that could significantly affect the fate of immiscible bubbles/droplets in vadose zones, nonaqueous phase liquid contaminated aquifers, and saline aquifers for CO_{2} sequestration in terms of infiltration patterns and residual trapping mechanisms. When external physical impacts such as oscillatory excitation or pulse forcing are applied, it could result in pinned oscillation of droplets due to this CAH. Conventional steadystate analysis of contact angle could underestimate CAH. As the first time to take unsteadystate effect into consideration, a hydrodynamic analysis is developed in this study to address the unsteadystate CAH theoretically ...
StressState Dependency Of The Deformation Ratio Of QuasiElastic Granular Soils Under Cyclic Loading  Supporting Information, Pingxin Xia, Longtan Shao, Wen Deng
StressState Dependency Of The Deformation Ratio Of QuasiElastic Granular Soils Under Cyclic Loading  Supporting Information, Pingxin Xia, Longtan Shao, Wen Deng
Research Data
Poisson’s ratio, besides its transverseaxial strain ratio definition, also plays a significant role in traditional elastic theory as an elastic constant. However, this elastic role of Poisson’s ratio faces a challenge when applied to quasielastic granular soils. A socalled “deformation ratio” is therefore introduced and measured in this paper for quasielastic granular soils. With the same definition of the transverseaxial strain ratio as Poisson’s ratio, the stressstate dependency of the deformation ratio and the breakdown of conversion relationship of elastic constants are investigated under cyclic triaxial tests. The results show that Poisson’s ratio is consistent with ...
Finding All ∈Good Arms In Stochastic Bandits, Blake Mason, Lalit Jain, Ardhendu S. Tripathy, Robert Nowak
Finding All ∈Good Arms In Stochastic Bandits, Blake Mason, Lalit Jain, Ardhendu S. Tripathy, Robert Nowak
Computer Science Faculty Research & Creative Works
The pureexploration problem in stochastic multiarmed bandits aims to find one or more arms with the largest (or near largest) means. Examples include finding an ∈good arm, bestarm identification, topk arm identification, and finding all arms with means above a specified threshold. However, the problem of finding all ∈good arms has been overlooked in past work, although arguably this may be the most natural objective in many applications. For example, a virologist may conduct preliminary laboratory experiments on a large candidate set of treatments and move all ∈good treatments into more expensive clinical trials. Since the ultimate clinical efficacy is ...
A Brief On Characteristic Functions, Austin G. Vandegriffe
A Brief On Characteristic Functions, Austin G. Vandegriffe
Graduate Student Research & Creative Works
Characteristic functions (CFs) are often used in problems involving convergence in distribution, independence of random variables, infinitely divisible distributions, and stochastics. The most famous use of characteristic functions is in the proof of the Central Limit Theorem, also known as the Fundamental Theorem of Statistics. Though less frequent, CFs have also been used in problems of nonparametric time series analysis and in machine learning. Moreover, CFs uniquely determine their distribution, much like the moment generating functions (MGFs), but the major difference is that CFs always exists, whereas MGFs can fail, e.g. the Cauchy distribution. This makes CFs more robust ...
A Brief On Optimal Transport, Austin G. Vandegriffe
A Brief On Optimal Transport, Austin G. Vandegriffe
Graduate Student Research & Creative Works
Optimal transport is an interesting and exciting application of measure theory to optimization and analysis. In the following, I will bring you through a detailed treatment of random variable couplings, transport plans, basic properties of transport plans, and finishing with the Wasserstein distance on spaces of probability measures with compact support. No detail is left out in this presentation, but some results have further generality and more intricate consequences when tools like measure disintegration are used. But this is left for future work.
Gwtc2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, Download The Pdf.
Gwtc2: Compact Binary Coalescences Observed By Ligo And Virgo During The First Half Of The Third Observing Run, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, Download The Pdf.
Physics Faculty Research & Creative Works
We report on gravitational wave discoveries from compact binary coalescences detected by Advanced LIGO and Advanced Virgo between 1 April 2019 15:00 UTC and 1 October 2019 15:00 UTC. By imposing a falsealarmrate threshold of two per year in each of the four search pipelines that constitute our search, we present 39 candidate gravitational wave events. At this threshold, we expect a contamination fraction of less than 10%. Of these, 26 candidate events were reported previously in near realtime through GCN Notices and Circulars; 13 are reported here for the first time. The catalog contains events whose sources ...
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Communicating Uncertain Information From Deep Learning Models In Human Machine Teams, Harishankar V. Subramanian, Casey I. Canfield, Daniel Burton Shank, Luke Andrews, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
The role of humanmachine teams in society is increasing, as big data and computing power explode. One popular approach to AI is deep learning, which is useful for classification, feature identification, and predictive modeling. However, deep learning models often suffer from inadequate transparency and poor explainability. One aspect of human systems integration is the design of interfaces that support human decisionmaking. AI models have multiple types of uncertainty embedded, which may be difficult for users to understand. Humans that use these tools need to understand how much they should trust the AI. This study evaluates one simple approach for communicating ...
Gw190521: A Binary Black Hole Merger With A Total Mass Of 150 M⊙, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Gw190521: A Binary Black Hole Merger With A Total Mass Of 150 M⊙, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitationalwave signal, GW190521, with a threedetector network signaltonoise ratio of 14.7, and an estimated falsealarm rate of 1 in 4900 yr using a search sensitive to generic transients. If GW190521 is from a quasicircular binary inspiral, then the detected signal is consistent with the merger of two black holes with masses of 85^{+21}_{−14} M⊙ and 66^{+17}_{−18} M⊙ (90% credible intervals). We infer that the primary black hole mass lies within the gap produced by (pulsational) pairinstability supernova ...