Graduation Semester and Year
Summer 2025
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Industrial Engineering
Department
Industrial and Manufacturing Systems Engineering
First Advisor
Professor Jay M. Rosenberger
Second Advisor
Professor Victoria C.P. Chen
Third Advisor
Professor Mohsen Shahandashti
Fourth Advisor
Professor Yuan Zhou
Abstract
Water is an essential part of human life. However, there are critical infrastructures that enable water availability in communities and homes. One of such is a water distribution network. Water distribution network performance depends on its reliability, which could be threatened by external agents like earthquakes. When earthquakes occur, they cause damages on some pipes within the distribution network and this limits performance of water distribution network. While earthquakes cannot be prevented, effective maintenance intervention may reduce the impact of earthquakes on water distribution networks. In order to develop an effective maintenance plan, researchers approach it in different ways. However, this dissertation focuses on developing a design and analysis of computer experiments optimization (DACE – Optimization) framework that determines a set of pipes that are critical for water distribution network resilience to rehabilitate under a limited budget. We used Sobol sequence as a design of experiments to develop rehabilitation plans through an algorithm that ensures optimal use of budget. The design of experiments was also used to develop set of earthquake scenarios, which the rehabilitation plans were evaluated through simulation using average systems serviceability index (SSI) as a performance measure. We later used statistical methods to identify a proxy and used the proxy to develop an optimization model for our problem, and it was solved in linear time using GUROBI. Using a series of decision steps, we developed an iterative DACE-Optimization approach for the problem. The framework was applied to a real network. It produced a result that was benchmarked with a genetic algorithm. The framework was eventually validated with 30 water distribution networks.
Keywords
Optimization, Design of Experiments, Data Science, Statistical Modeling, Analysis of Variance, Mathematical Modeling, Network Resilience Optimization, Simulation, Water Distribution Network, Seismic Rehabilitation Optimization
Disciplines
Industrial Engineering | Operational Research | Other Civil and Environmental Engineering
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Kareem, Uthman Abiola, "A DESIGN AND ANALYSIS OF COMPUTER EXPERIMENTS APPROACH TO WATER DISTRIBUTION NETWORK SEISMIC REHABILITATION OPTIMIZATION" (2025). Industrial, Manufacturing, and Systems Engineering Dissertations. 249.
https://mavmatrix.uta.edu/industrialmanusys_dissertations/249
Included in
Industrial Engineering Commons, Operational Research Commons, Other Civil and Environmental Engineering Commons