Date of Award
2-8-2022
Document Type
Thesis
Degree Name
Engineering, MSE
First Advisor
Zahid Hossain
Committee Members
Ashraf Elsayed; Brandon Kemp
Call Number
LD 251 .A566t 2021 I85
Abstract
Northeast Arkansas (NEA) has a deep deposition of soil overlying the bedrock. The code-based design approach e.g., the American Association of State Highway and Transportation Officials (AASHTO) does not account for deep deposition of soil overlying the bedrock. As a result, structures with short-period spectral accelerations are overdesigned at significant cost, and structures with long-period spectral accelerations are under-designed at significant risk. The purpose of this study is to perform SSGMRA for areas in NEA and predict seismic site factors. Seismic hazard analyses have been carried out, and one dimensional (1D) site response analysis has been performed for seven different bridge sites within the NEA. The SSGMRAs of these sites show that short period spectral accelerations get de-amplified, and long-period spectral accelerations get amplified compared to that of the AASHTO. This study strengthens the demand and effectiveness of performing SSGMRA over code-based approaches for NEA by considering deep deposited soil.
Rights Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Islam, Md Radiue, "Predicting Seismic Site Coefficients for Northeast Arkansas (NEA) By Performing Site Specific Ground Motion Response Analysis (SSGMRA)" (2022). Student Theses and Dissertations. 275.
https://arch.astate.edu/all-etd/275
