자료유형  

 학위논문

Control Number  

0017160367

International Standard Book Number  

9798382121178

Dewey Decimal Classification Number  

690

Main Entry-Personal Name  

Wu, Zihan.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of California, San Diego., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

211 p.

General Note  

Source: Dissertations Abstracts International, Volume: 85-10, Section: B.

General Note  

Advisor: Todd, Michael D.

Dissertation Note  

Thesis (Ph.D.)--University of California, San Diego, 2024.

Summary, Etc.  

요약Inland waterways infrastructure such as miter gates are subject to damage like cracking and corrosion due to long (∼50 years) service lives with extensive water exposure. With the advancement of modern sensing technologies, there's a vast potential for Structural Health Monitoring (SHM) to transition into a more intelligent and efficient technology that can integrate multiple data sources for enhanced damage diagnostics and inform predictive inspection and maintenance strategies. This research presents a comprehensive optimization framework for the diagnosis and prognosis of such infrastructure. The framework first proposes a novel iterative global-local method for efficient and accurate forward modeling of structural damage in miter gates. It then develops an innovative diagnostic and prognostic framework that not only integrates multiple data sources for structures with multi-failure modes but also analyzes the environmental factors influencing SHM, offering insights into the challenges and solutions for real-world inspections. Furthermore, it introduces a physics-informed inspection planning framework, underpinned by model-based diagnostics and prognostics, leveraging the benefits of digital twin and deep learning technologies. This work represents a significant advancement for a certain class of SHM, providing a robust methodology for improving the lifespan and ensuring the safety of critical waterway infrastructure, marking a crucial step toward the future of infrastructure inspection and maintenance.

Subject Added Entry-Topical Term  

Architectural engineering.

Subject Added Entry-Topical Term  

Environmental engineering.

Subject Added Entry-Topical Term  

Water resources management.

Index Term-Uncontrolled  

Infrastructure

Index Term-Uncontrolled  

Structural damage

Index Term-Uncontrolled  

Structural Health Monitoring

Index Term-Uncontrolled  

Inland waterways

Index Term-Uncontrolled  

Deep learning

Added Entry-Corporate Name  

University of California, San Diego Structural Engineering

Host Item Entry  

Dissertations Abstracts International. 85-10B.

Electronic Location and Access  

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Control Number  

joongbu:657485