Modeling of infrastructure deterioration and application to life-cycle analysis of engineering systems

Iannacone, Leandro

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https://hdl.handle.net/2142/115579 Copy

Description

Title

Modeling of infrastructure deterioration and application to life-cycle analysis of engineering systems

Author(s)

Iannacone, Leandro

Issue Date

2022-04-20

Director of Research (if dissertation) or Advisor (if thesis)

Gardoni, Paolo

Doctoral Committee Chair(s)

Gardoni, Paolo

Committee Member(s)

• DeVille, Lee
• Wang, Pingfeng
• Limongelli, Maria Pina
• Jia, Gaofeng

Department of Study

Civil & Environmental Eng

Discipline

Civil Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• Deterioration modeling
• life-cycle analysis
• physics-based models
• value of information
• stochastic analysis
• reliability
• stochastic differential equations
• structural health monitoring

Abstract

Infrastructure systems worldwide are currently unable to sustain the demands they were originally intended to sustain. This is due to gradual deterioration processes and unexpected shock occurrences that have caused a decrease in their performance. It is crucial to develop methodologies for a proper assessment of the deterioration that has acted on engineering systems up to the present time, to obtain accurate estimates of their instantaneous reliability and accurately predict their future performance. It is one of the goals of Life-Cycle Analysis (LCA) to quantify the serviceability of engineering systems over time and the costs associated to possible closures for repair and replacement actions. Modeling the effects of adverse environmental conditions, of unexpected service loads, and of the occurrence of natural hazards is a key part of LCA, and the methodologies available in the literature are often imprecise and unable to provide a proper estimate of the associated uncertainties. The main goal of this dissertation is to propose a comprehensive framework for the LCA of engineering systems subject to deterioration. In the framework, the performance of the system is modeled as a function of its state variables, i.e. the physical characteristics that affect its performance such as geometry, boundary conditions, and material properties. The evolution of the state variables is investigated with accurate physics-based models that account for the effects of deterioration. To achieve this goal, we develop Stochastic Differential Equations (SDEs) formulations that are able to unify the effects of gradual deterioration and shock deterioration. The proposed models account for the interactions among different deterioration processes, as well as the interaction among the state variables (state-dependency). They can be adjusted and calibrated based on the output of inspection procedures such as Non-Destructive Testing (NDT) and Structural Health Monitoring (SHM). The dissertation details the available methods for calibration and proposes novel methods to incorporate the presence of shocks. Deterioration is then integrated with recovery, and both types of processes are incorporated into the vulnerability and resilience assessment of communities, focusing on the deterioration and time-varying serviceability of water networks. Finally, a framework is proposed to include the deterioration phenomena in the quantification of the Value of Information (VoI) associated with different inspection procedures, which can be used to evaluate whether monitoring or inspecting the system is beneficial in terms of economic costs and risk reduction.

Graduation Semester

2022-05

Type of Resource

Thesis

Copyright and License Information

Copyright 2022 Leandro Iannacone

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