Research on Efficient and Resilient Structures at the University of Michigan
Welcome to the Resilient and Efficient Structures Laboratory at the University of Michigan!
We carry out research in the areas of performance-based wind engineering, community resilience to natural hazards, metamodeling of uncertain and dynamic structural systems subject to stochastic loads, probabilistic frameworks for system-level optimization of wind excited structures and more.
October 2021 - A new version of WiRA (WiRA v3.0) is available for download! Request a copy here.
July 2021 - Dr. Spence assumes the role of Associate Editor for the ASCE Journal of Structural Engineering
July 2021 - RESLab secures new grant from the National Science Foundation (NSF) to study the collapse of engineered building systems in extreme winds. Read more here.
May 2021 - Prof. Spence participates on the invited panel “Performance-Based Design: Earth, Wind & Fire” of the 2021 ASCE Structures Congress
May 2021 - RESLab member Bowei Li wins PMC best Student Paper Award at EMI/PMC 2021. Congratulations Bowei!
May 2021 - Prof. Spence shares insights into the future of Michigan's Line 5
May 2021 - Bowei Li selected for the final of the PMC Student Paper Competition: congratulations!
April 2021 - Prof. Spence gives invited talk on PBWE at Virginia Tech
April 2021 - Liuyun Xu will join the RESLab starting September 2021: welcome to the RESLab!
April 2021 - RESLab secures new grant from the MKA Foundation
March 2021 - Zhicheng successfully defends his Ph.D.: congratulations Dr. Ouyang!
March 2021 - Ahmed successfully defends his Ph.D.: congratulations Dr. Abdelhady!
March 2021 - Prof. Spence gives invited talk at the University of Florida on computational modeling in wind engineering
Response Estimation of Multi-Degree-of-Freedom Nonlinear Stochastic Structural Systems through Metamodeling, Journal of Engineering Mechanics
Simple Run-Time Infrastructure (SRTI): An accessible distributed computing platform for interdisciplinary simulation, Journal of Computational Science
Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations, International Journal of Disaster Risk Science