Probabilistic Site Response Analysis and Soil-Structure Interaction: A Data Science and Statistical Investigation Utilizing a Comprehensive Dataset in Japan and the US
type: CreativeWork
description: Site response analysis (SRA) plays a crucial role in the performance-based design ofstructures subjected to earthquakes. It allows for the prediction of ground motion and the subsequent effects on structures. While the accuracy of current SRA methodologies has been the focus of much research, there are several sources of uncertainty in soil media that should be accounted for in design practice. These include variations in soil properties, which can affect the response of the ground to earthquakes. In addition to ground motion, the effects of soil-structure interaction (SSI) must also be taken into consideration, as they can significantly influence the response of a structure to an earthquake. Therefore, the incorporation of these factors is essential in the design process to ensure the safe and efficient performance of structures during earthquakes. There has been recent progress in developing methods to understand how uncertainties in soil parameters can affect the results of nonlinear (NL) SRA. However, it is not yet clear how reliable these methods are, and further testing using real-life data is needed to determine their strengths and weaknesses. Additionally, soil-structure interaction (SSI) analysis using the "direct" method, which involves analyzing the entire soil-structure system at the same time under strong shaking scenarios, is becoming more common in engineering practice. However, the accuracy of this method is uncertain due to the complex nonlinear behavior of soil, structures, and foundations. Similarly, further testing using real-life data is needed to understand the strengths and weaknesses of this approach. Proposing new methodologies, and validating those against actual recordings for a large inventory of sites this report provides some recommendations for design purposes. The work done is presented in three parts. In the first part, a new methodology is proposed for quantifying the effects of epistemic uncertainty in soil parameters on NL SRA res…
abstract: Site response analysis (SRA) plays a crucial role in the performance-based design ofstructures subjected to earthquakes. It allows for the prediction of ground motion and the subsequent effects on structures. While the accuracy of current SRA methodologies has been the focus of much research, there are several sources of uncertainty in soil media that should be accounted for in design practice. These include variations in soil properties, which can affect the response of the ground to earthquakes. In addition to ground motion, the effects of soil-structure interaction (SSI) must also be taken into consideration, as they can significantly influence the response of a structure to an earthquake. Therefore, the incorporation of these factors is essential in the design process to ensure the safe and efficient performance of structures during earthquakes. There has been recent progress in developing methods to understand how uncertainties in soil parameters can affect the results of nonlinear (NL) SRA. However, it is not yet clear how reliable these methods are, and further testing using real-life data is needed to determine their strengths and weaknesses. Additionally, soil-structure interaction (SSI) analysis using the "direct" method, which involves analyzing the entire soil-structure system at the same time under strong shaking scenarios, is becoming more common in engineering practice. However, the accuracy of this method is uncertain due to the complex nonlinear behavior of soil, structures, and foundations. Similarly, further testing using real-life data is needed to understand the strengths and weaknesses of this approach. Proposing new methodologies, and validating those against actual recordings for a large inventory of sites this report provides some recommendations for design purposes. The work done is presented in three parts. In the first part, a new methodology is proposed for quantifying the effects of epistemic uncertainty in soil parameters on NL SRA res…
author: Boushehri, Reza
date published: 2023
date modified: 2026-07-27T21:47:58Z
provider: University of Nevada - Reno
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: University of Nevada - Reno

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property ID: Handle
value: http://hdl.handle.net/11714/8464