DOI: https://doi.org/10.15368/theses.2021.37
Available at: https://digitalcommons.calpoly.edu/theses/2405
Date of Award
4-2021
Degree Name
MS in Civil and Environmental Engineering
Department/Program
Civil and Environmental Engineering
College
College of Engineering
Advisor
Robb Moss
Advisor Department
Civil and Environmental Engineering
Advisor College
College of Engineering
Abstract
The performance of water lifelines during seismic events is an area of ongoing research. In this study we evaluate eight (8) different seismic events and the impact that ground shaking and ground deformations had on water pipeline systems. The overall goal of this work is to provide municipalities and utility providers with tools for mitigating the consequences of seismic hazards on water lifeline systems by analyzing the accuracy of damage estimation models. Three (3) different repair rate models are evaluated using data collected from the seismic events and compared to observed repair rate data. Results are analyzed to examine the utility of the models for forecasting damage. Results are shown. The overall goal of this work is to provide municipalities and utility providers with tools for mitigating the consequences of seismic hazards on water lifeline systems by analyzing the accuracy of damage estimation models.
Results indicate that fragility functions that utilize a linear PGV-based function are the most accurate in predicting repair rates to a system based on residual plots developed for different models. Differentiating between continuous and segmented water lifeline systems is best done by using coefficients to modify the backbone PGV-based equation. Results also indicate that utilizing an additional PGD-based function could increase the predictive capabilities of water lifeline system fragility functions.
Included in
Civil Engineering Commons, Construction Engineering and Management Commons, Geotechnical Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons, Other Engineering Commons, Risk Analysis Commons