Steel Plate Shear Wall Project testing in NEES@Illinois Small-Scale Facility
As part of the NEESR Project "Smart and Resilient Steel Plate Shear Walls", headed by PI Jeffrey Berman and co-PIs Laura Lowes (University of Washington), Michel Bruneau (University of Buffalo, SUNY) and Larry Fahnestock (University of Illinois), testing is underway in the NEES@Illinois 1/5-Scale Laboratory in preparation for Large-Scale testing in the MUST-SIM facility that is anticipated to begin in April 2013.
The goal of this project is to develop a smart and resilient steel plate shear wall (SR-SPSW) system with the potential to transform seismic design in areas of moderate and high seismicity. The system strategically combines the benefits of self-centering and steel plate shear wall technologies to create a robust, ductile, and easily repairable system that will reduce life-cycle costs for buildings. Most traditional seismic load resisting systems will suffer structural damage during seismic events; the cost and downtime associated with repair of that damage has led to staggering economic losses. The proposed SR-SPSW system could drastically reduce those losses. SPSWs are excellent candidates for the application of self-centering technology; they have high strength and elastic stiffness and require low re-centering forces. The buckling and yielding behavior of the web plate will also be leveraged to develop self-sensing concepts such that post-event decisions regarding web plate replacement can be made with minimal disruption. SPSW behavior under earthquake loading is highly nonlinear, and complex component interactions exist; of particular complexity are the interactions between the web plate tension field action and the forces in the re-centering mechanisms of the proposed SR-SPSWs. Large-scale testing using advanced experimental techniques and instrumentation will generate data to be used to develop numerical models anchored in physical behavior. Application of those tools in parametric analyses of SPSW systems will provide a new level of understanding of the system response and help to eliminate overly conservative design processes.
April 1, 2013