Files in this item



application/pdfPURBA-THESIS-2020.pdf (1MB)Restricted Access
(no description provided)PDF


Title:Optimization of retrofit decisions as risk mitigation strategies for infrastructure
Author(s):Purba, Denissa Sari Darmawi
Advisor(s):Gardoni, Paolo
Department / Program:Civil & Environmental Eng
Discipline:Civil Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Retrofit Strategy
Mitigation Planning
Matrix-based System Reliability
Two-stage Stochastic Optimization
Abstract:Retrofit actions have become one of the prominent strategies for infrastructure mitigation planning in reducing vulnerability to hazards. A retrofit action is the application of advanced devices or materials to enhance structural performance. There are three common considerations in the decision-making process of implementing retrofit actions, i.e., limited budgets and resources, the complexity and the size of infrastructure systems, and the uncertainties of the hazards. Considering these three aspects, this study formulates a general stochastic optimization problem to find the optimal retrofit for infrastructure. The optimization problem is formulated to examine two objectives, i.e., to minimize the total retrofit cost and the performance losses of the infrastructure. The proposed formulation uses the Matrix-based System Reliability method to estimate the uncertainty parameters and the Decomposition method to find the optimum solution. Then, the general formulation is used specifically for transportation systems to find the optimal retrofit decisions for bridges.
Issue Date:2020-07-23
Rights Information:Copyright 2020 Denissa Sari Darmawi Purba
Date Available in IDEALS:2020-10-07
Date Deposited:2020-08

This item appears in the following Collection(s)

Item Statistics