Simplified procedure for rapidly estimating inelastic responses of numerous high-rise buildings with reinforced concrete shear walls

Author:

Suwansaya Phichaya1ORCID,Warnitchai Pennung2

Affiliation:

1. Asian Institute of Technology

2. Asian Institute of Technology School of Civil Engineering: Asian Institute of Technology School of Engineering and Technology

Abstract

Abstract Nonlinear response history analysis (NLRHA) is considered the most accurate procedure for evaluating the seismic performance of high-rise buildings. However, it requires considerable expertise and a significant amount of analysis time, making it inappropriate for evaluating numerous high-rise buildings; for example, estimating the seismic losses of a city for an earthquake scenario. To overcome this limitation, a simplified procedure developed based on the uncoupled modal response history analysis (UMRHA) and coupled shear-flexural cantilever beam model (CSFCBM) is proposed. The underlying assumption is that the UMRHA procedure can compute the nonlinear seismic responses mode-by-mode, where each vibration mode is assumed to behave as a single-degree-of-freedom system. The nonlinear seismic responses are approximately represented by the sum of the modal responses of a few vibration modes. However, UMRHA requires knowledge of the modal properties and modal hysteretic behaviors. Therefore, the CSFCBM is introduced here to estimate the required modal properties and modal hysteretic behaviors. The inelastic seismic demands of the building can be determined using the UMRHA procedure with the computed modal properties obtained by CSFCBM. The accuracy of this proposed procedure is verified considering four high-rise buildings of 19, 30, 34, and 45 stories with reinforced concrete shear walls. The inelastic demands computed by the NLRHA procedure are used as a benchmark and compared with those of the proposed procedure. The results indicate that the proposed procedure provides reasonably accurate demand estimations for all case study buildings with significantly less analysis time than that required by NLRHA.

Publisher

Research Square Platform LLC

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