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Bottom Shear Stress in Lake Erie for Parameterization

2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stre...

Lin, S. Uppsala University

Mar 18, 2022
1 Resources
0 Stars
Publicly accessible

Castlegate Sandstone True Triaxial Test Data

Data set containing results from constant mean stress constant Lode angle true triaxial compression tests performed on Castlegate Sandstone. From the test preformed, the bedding plane and the strain type inside the band of sedimentary rocks can be related to stress histories. The ...

Ingraham, M. et al Sandia National Laboratories

May 06, 2012
8 Resources
0 Stars
Curated

Confined Brazilian Tests for Rock Failure Envelope and Behavior

Includes test data from Confined Brazilian Tests. The tests were aim at investigating the rock failure envelope of four different lithologies including Indiana limestone, Scioto sandstone, Grey Berea sandstone, and Tennessee sandstone. Tables include the strength data obtained usi...

Ghassemi, A. and Li, Y. University of Oklahoma

Aug 31, 2021
2 Resources
0 Stars
Publicly accessible

University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...

Phillipes, C. et al National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
0 Stars
Curated

a-ghassemi-data-jgr2

Injection-induced Propagation and Coalescence of Pre-existing Fractures in Granite under Triaxial Stress

Ghassemi, A. University of Oklahoma

Jun 12, 2019
4 Resources
0 Stars
In curation

Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets

Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...

Sheng, S. National Renewable Energy Laboratory

Mar 28, 2014
5 Resources
0 Stars
Curated