Probabilistic Approach to Account for Soil-Structure Interaction in Seismic Design of Building Structures
Publication: Journal of Structural Engineering
Volume 146, Issue 9
Abstract
This paper proposes a novel probabilistic approach to account for soil-structure interaction (SSI) in the seismic design of building structures. In this approach, an SSI response modification factor, , is introduced to capture SSI effects on the seismic performance of structures. The proposed procedure quantifies such that the probability distribution of the collapse capacity of the structure designed to account for SSI concurs with that of the structure designed using the default fixed-base provisions. The proposed approach considers prevailing uncertainties in the properties of the soil-structure system and in the seismic loading. It is employed for special steel moment frame buildings with surface foundation. The results indicate that no reduction in the design base shear is advisable for structures located on moderately soft to firm soils with shear wave velocities above . This conclusion is at odds with the current prescription of SSI provisions of seismic design code, which allow some reduction in the design base shear for such buildings. A thorough assessment of the design base shears obtained through current codified SSI provisions reveals a nonuniform risk of collapse for different soil-structure systems. In comparison, the median values computed through the proposed approach lead to a uniform risk of collapse and can be considered for the seismic design of special steel moment frames.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
The authors thank the Ministry of Science, Research, and Technology of Islamic Republic of Iran whose graduate scholarship provided support for the lead author. The first three authors gratefully acknowledge Iran National Science Foundation (INSF) for Grant No. 98012381. The second author also thanks Sharif University of Technology for Grant No. QA970110.
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©2020 American Society of Civil Engineers.
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Received: Jul 16, 2019
Accepted: Mar 9, 2020
Published online: Jun 26, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 26, 2020
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