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Analysis of Distributed Strain in Gas Infrastructure Subjected to Operational and Geohazard Conditions
Analysis of Distributed Strain in Gas Infrastructure Subjected to Operational and Geohazard Conditions
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202104834
- ISBN
- 9798293892464
- DDC
- 621.3
- 저자명
- Xu, Tianchen.
- 서명/저자
- Analysis of Distributed Strain in Gas Infrastructure Subjected to Operational and Geohazard Conditions
- 발행사항
- [Sl] : University of California, Berkeley, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 231 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-04, Section: B.
- 주기사항
- Advisor: Soga, Kenichi.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2025.
- 초록/해제
- 요약Gas infrastructure systems, encompassing long-distance transmission pipelines and deep subsurface gas wells, are indispensable components of the global energy network. Their structural integrity, however, is continually challenged by the combined effects of operational stresses-such as pressure cycling, thermal loading, and fluid injection-and geohazard-induced deformations arising from seismic faulting, landslides, and ground subsidence. These hazards generate complex, spatially variable strain distributions along buried infrastructure that may compromise serviceability or precipitate catastrophic failure. Conventional monitoring approaches, which rely on discrete measurements and peak strain values, offer only a limited perspective of full-field deformation behavior and may overlook early indicators of damage accumulation. This dissertation presents a comprehensive investigation into the distributed strain behavior of gas infrastructure subjected to coupled operational and geohazard loading conditions. The research integrates Distributed Fiber Optic Sensing (DFOS), numerical simulation, and experimental testing into a scalable, high-resolution framework for structural performance assessment. A multi-tiered modeling strategy is employed, incorporating analytical formulations, two-dimensional beam-on-spring models, and three-dimensional continuum finite element (FE) simulations. While simplified models provide computational efficiency, they are shown to underestimate strain localization and circumferential gradients induced by fault-related bending and asymmetric soil-structure interaction. In contrast, three-dimensional continuum models, validated against experimental and field observations, capture the coupled axial, bending, and shear deformation modes with high fidelity. To validate the modeling framework and evaluate DFOS capabilities, a series of field and laboratory studies were performed. Field deployment of DFOS along a buried natural gas pipeline in a seismically active region demonstrated the system's capability to detect localized strain accumulation and cyclic thermal deformation over multiple seasonal cycles.Furthermore, a novel DFOS installation on in-service tubing within a 5,400-foot-deep underground gas storage (UGS) well enabled real-time monitoring of distributed strain and temperature during injection, withdrawal, and idle phases. Complementary laboratory experiments on cemented well specimens investigated strain transfer mechanisms for different fiber types and bonding configurations, underscoring the critical role of interface design in DFOS measurement reliability.Overall, this research establishes an integrated, high-fidelity approach for distributed strain analysis in buried energy infrastructure. By coupling advanced numerical modeling with distributed sensing, the framework enables early damage detection, improves resilience against geohazards, and supports long-term integrity management of critical gas transport and storage systems.
- 일반주제명
- Computer engineering
- 일반주제명
- Energy
- 기타저자
- University of California, Berkeley Civil and Environmental Engineering
- 기본자료저록
- Dissertations Abstracts International. 87-04B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017359096
■00520260202104834
■006m o d
■007cr#unu||||||||
■020 ▼a9798293892464
■035 ▼a(MiAaPQ)AAI32171050
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aXu, Tianchen.
■24510▼aAnalysis of Distributed Strain in Gas Infrastructure Subjected to Operational and Geohazard Conditions
■260 ▼a[Sl]▼bUniversity of California, Berkeley▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a231 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-04, Section: B.
■500 ▼aAdvisor: Soga, Kenichi.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2025.
■520 ▼aGas infrastructure systems, encompassing long-distance transmission pipelines and deep subsurface gas wells, are indispensable components of the global energy network. Their structural integrity, however, is continually challenged by the combined effects of operational stresses-such as pressure cycling, thermal loading, and fluid injection-and geohazard-induced deformations arising from seismic faulting, landslides, and ground subsidence. These hazards generate complex, spatially variable strain distributions along buried infrastructure that may compromise serviceability or precipitate catastrophic failure. Conventional monitoring approaches, which rely on discrete measurements and peak strain values, offer only a limited perspective of full-field deformation behavior and may overlook early indicators of damage accumulation. This dissertation presents a comprehensive investigation into the distributed strain behavior of gas infrastructure subjected to coupled operational and geohazard loading conditions. The research integrates Distributed Fiber Optic Sensing (DFOS), numerical simulation, and experimental testing into a scalable, high-resolution framework for structural performance assessment. A multi-tiered modeling strategy is employed, incorporating analytical formulations, two-dimensional beam-on-spring models, and three-dimensional continuum finite element (FE) simulations. While simplified models provide computational efficiency, they are shown to underestimate strain localization and circumferential gradients induced by fault-related bending and asymmetric soil-structure interaction. In contrast, three-dimensional continuum models, validated against experimental and field observations, capture the coupled axial, bending, and shear deformation modes with high fidelity. To validate the modeling framework and evaluate DFOS capabilities, a series of field and laboratory studies were performed. Field deployment of DFOS along a buried natural gas pipeline in a seismically active region demonstrated the system's capability to detect localized strain accumulation and cyclic thermal deformation over multiple seasonal cycles.Furthermore, a novel DFOS installation on in-service tubing within a 5,400-foot-deep underground gas storage (UGS) well enabled real-time monitoring of distributed strain and temperature during injection, withdrawal, and idle phases. Complementary laboratory experiments on cemented well specimens investigated strain transfer mechanisms for different fiber types and bonding configurations, underscoring the critical role of interface design in DFOS measurement reliability.Overall, this research establishes an integrated, high-fidelity approach for distributed strain analysis in buried energy infrastructure. By coupling advanced numerical modeling with distributed sensing, the framework enables early damage detection, improves resilience against geohazards, and supports long-term integrity management of critical gas transport and storage systems.
■590 ▼aSchool code: 0028.
■650 4▼aComputer engineering
■650 4▼aEnergy
■650 4▼aEnvironmental engineering
■653 ▼aDistributed Fiber Optic Sensing
■653 ▼aFinite element modeling
■653 ▼aGas infrastructure systems
■653 ▼aSoil-pipeline interaction
■653 ▼aUnderground gas storage
■690 ▼a0543
■690 ▼a0775
■690 ▼a0464
■690 ▼a0791
■71020▼aUniversity of California, Berkeley▼bCivil and Environmental Engineering.
■7730 ▼tDissertations Abstracts International▼g87-04B.
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17359096▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
