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Title:A Self-Centering Buckling Restrained Braces for Curved Bridges
Authors:Chris P. Pantelides, Anurag Upadhyay, and Ruoyang Wu
University:University of Utah
Publication Date:May 2018
Report #:MPC-18-348
Project #:MPC-491
TRID #:01675630
Keywords:braces, bridge design, columns, curved bridges, earthquake resistant design, fiber reinforced polymers, guidelines, repairing, retrofitting
Type:Research Report – MPC Publications

 

Abstract

This project studies effective configurations of self-centering devices in the seismic retrofit of curved bridges for control of longitudinal and lateral forces. Reparability of bridge columns is investigated experimentally. A seismic retrofit and repair technique using a Carbon Fiber Reinforced Polymer (CFRP) donut and headed steel bars is implemented; a severely damaged cast-in-place column-to-cap beam joint and a column-to-footing joint are repaired using a CFRP donut, and their performance is compared to the original specimens. A fiber element model for the CFRP donut repair is developed. A numerical model of a seismically retrofitted curved bridge with Buckling Restrained Braces (BRBs) is developed. The steel core area and core length of BRBs is optimized to obtain maximum ductility of the retrofitted bridge under the design level earthquake. The optimized BRBs are placed in the bents of the bridge model and the seismic performance is evaluated through nonlinear dynamic analysis. The BRB retrofit is compared with a seismic retrofit using Self-Centering Energy Dissipation devices (SCEDs). Longitudinal BRBs/SCEDs are also implemented, which reduce the pounding forces between the deck and abutments. Guidelines are developed for the seismic retrofit of bridges using BRBs, SCEDs and CFRP donuts to enhance the seismic performance.

How to Cite

Pantelides, Chris P., Anurag Upadhyay, and Ruoyang Wu. A Self-Centering Buckling Restrained Braces for Curved Bridges, MPC-18-348. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2018.

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