NEES @ UC San Diego
Performance-Based Seismic Design for Reinforced Masonry Shear-Wall Structures Large-Scale Validation of Seismic Performance of Bridge Columns Collapse Vulnerability and Seismic Design of Metal Building Systems Seismic Study of Wind Turbines for Renewable EnergySeismic Design of Retaining Walls with/without Sound Wall Seismic Response of a 7-Story RC Building
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NHERI @ UC San Diego Large High Performance Outdoor Shake Table

The world's first outdoor shake table is also the largest in the U.S. learn more

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User material to help plan future test programs

See previous training workshop materials at: December 2015, December 2016 and December 2017.

Current Project

Collapse Simulation of Shear-Dominated Reinforced Masonry Wall SystemsFull Size

Collapse Simulation of Shear-Dominated Reinforced Masonry Wall Systems

Seismic design codes have to ensure that buildings have a low probability of collapse in the event of a severe earthquake. To develop such standards, the ability to assess the collapse margin ratios of building systems designed according to given specifications is of critical importance. Under severe seismic forces, reinforced masonry (RM) wall structures may develop complicated nonlinear behavior involving interaction between steel and masonry. Furthermore, the interaction of structural walls with other elements in a building system could lead to nonlinear behavior and collapse mechanisms that were not anticipated in design, including behavior dominated by diagonal shear cracks. The ability of analytical models to capture these mechanisms and interactions is crucial for an accurate assessment of the collapse potential of a building. The main aim of this project is to obtain necessary experimental data to understand the behavior of RM wall structures to the point of collapse, and to use the data to advance and validate refined as well as simplified analytical modeling methods.

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The Large High-Performance Outdoor Shake Table is supported in part by the George E. Brown, Jr. Network for Engineering Simulation (NEES) program of the National Science Foundation under Award Number CMMI-0927178.

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