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An improved adaptive spectra-based pushover analysis procedure for estimating seismic performance for bridge structures

Huili Wang

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Abstract

The principal objective of this investigation is to develop an improved adaptive spectra-based pushover analysis procedure (IASPA) which applies to the engineering practice. The seismic performance of a pier determined by IASPA was compared with that determined by the pushover analysis using two force distributions in FEMA274 which are linear distribution and uniform distribution, and IASPA procedure was compared with nonlinear RHA procedures. The results indicate that the IASPA method provides more superior accuracy in estimating the seismic performance of bridge structures.

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What this paper is about

The principal objective of this investigation is to develop an improved adaptive spectra-based pushover analysis procedure (IASPA) which applies to the engineering practice. The seismic performance of a pier determined by IASPA was compared with that determined by the pushover analysis using two force distributions in FEMA274 which are linear distribution and uniform distribution, and IASPA procedure was compared with nonlinear RHA procedures. The results indicate that the IASPA method provides more superior accuracy in estimating the seismic performance of bridge structures.

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Available abstract

The principal objective of this investigation is to develop an improved adaptive spectra-based pushover analysis procedure (IASPA) which applies to the engineering practice. The seismic performance of a pier determined by IASPA was compared with that determined by the pushover analysis using two force distributions in FEMA274 which are linear distribution and uniform distribution, and IASPA procedure was compared with nonlinear RHA procedures. The results indicate that the IASPA method provides more superior accuracy in estimating the seismic performance of bridge structures.

Key concepts: Structural engineering, Pier, Bridge (graph theory), Nonlinear system, Seismic analysis, Engineering, Incremental Dynamic Analysis, Computer science

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