Electronic Theses and Dissertations

Date

2021

Document Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Civil Engineering

Committee Chair

Shahram Pezeshk

Committee Member

Shahram Pezeshk

Committee Member

Chris H. Cramer

Committee Member

Stephanie Ivey

Abstract

This dissertation concerns developing a new ground motion model (GMM) for small to moderate potentially induced seismic events in Central and Eastern United States (CEUS) and ranking worldwide and local GMMs for Iran. The body of research work is carried out in two related studies.The first study presents a new GMM. The proposed model is developed considering induced and potentially induced seismic events in CEUS. For this study, a comprehensive flatfile of potentially induced ground motions for moment magnitudes (Mw) between 3 and 6 and distances of less than 200 km is used. The Pezeshk et al. (2018) model, which is a hybrid empirical method, is selected as the base model for the development of the new GMM. The Pezeshk et al. (2018) model was developed and was calibrated for tectonic events in CEUS as part of the Pacific Engineering Earthquake Center (PEER) Next Generation of Attenuation (NGA) project referred to as the NGA-East project. This study follows the mixed-effect regression procedure to find the proposed model coefficients. The newly developed GMM is derived for peak ground acceleration and response-spectral ordinates at periods ranging from 0.01 to 10.0s, MW ranging from 3.0 to 5.8, and hypocentral distances of up to 200 km. As part of this study, the strength of the newly proposed model is discussed by performing a set of comprehensive residual analyses. In the second study, recently developed worldwide and local GMMs are selected, and the capabilities of these models for seismic hazard analysis in Iran are evaluated. The data-driven selection methods scores determine the GMM weights for applying in seismic hazard forecasts. This study is based on an independent test database of recently recorded major earthquakes in Iran, such as the 12 November 2017 MW 7.3 Ezgeleh earthquake and the 25 November 2018 MW 6.3 Sarpol-e Zahab earthquake, along with the several earthquake events from 2000 to 2019. Three data-driven selection methods, including the Log-Likelihood (LLH) method, the Euclidean Distance-based Ranking (EDR) method, and the Deviance Information Criterion (DIC) method, were employed.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to ProQuest

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