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Multi-Scale Methodologies for Probabilistic Assessment of Structural and Functional Performance of Power Transmission Systems Under Hurricanes.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-Scale Methodologies for Probabilistic Assessment of Structural and Functional Performance of Power Transmission Systems Under Hurricanes./
作者:	Ma, Liyang.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	263 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-09, Section: B.
Contained By:	Dissertations Abstracts International82-09B.
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28258075
ISBN:	9798569962983

Multi-Scale Methodologies for Probabilistic Assessment of Structural and Functional Performance of Power Transmission Systems Under Hurricanes.
Ma, Liyang.

Multi-Scale Methodologies for Probabilistic Assessment of Structural and Functional Performance of Power Transmission Systems Under Hurricanes. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 263 p.

Source: Dissertations Abstracts International, Volume: 82-09, Section: B.

Thesis (Ph.D.)--Lehigh University, 2021.

This item must not be sold to any third party vendors.

A hurricane is a tropical cyclone whose maximum sustained wind speed has reached 33 m/s. It is one of the major natural hazards that inflict significant damage to power transmission systems. A Power transmission network consists of hundreds of interconnected transmission lines, which are the links between substations and power plants. Structures in a transmission line, such as towers and conductors, are directly exposed to the large wind loads induced by hurricanes. Failures of these structures trip transmission lines and result in large-scale power outages causing dramatic economic and social loss.To this respect, this research is mostly focused on mechanical and dynamic modeling of the structural behavior under hurricanes, development of fragility curves of structures considering the uncertainties in wind fluctuations and structural capacities, and quantification of the power network structural and functional performance during hurricane events.The scope of the study includes (i) development of a hysteretic model of single-bolted angle connections for lattice steel towers; (ii) development of fragility models of electrical conductors in power transmission networks; (iii) development of component-based fragility models of transmission towers; (iv) investigation of tower-conductor dynamic interaction; (v) development of a framework for probabilistic simulation of the power transmission network performance under hurricane events; (vi) probabilistic simulation of power transmission system restoration and functionality recovery.The accurate hysteretic models of transmission tower connections are the first step towards the dynamic simulation and fragility assessment of transmission towers under hurricane events. In this regard, the mechanics and the various stages of the joint's hysteretic behavior, including friction, slippage, bolt bearing, and plasticity, were investigated. Finite element models were built and validated for the analytical modeling of the joint under monotonic loading. The hysteretic behavior model was then developed, considering cyclic joint slippage and bolt-hole elongation (damage accumulation). A novel algorithm was developed to incorporate the analytical model into a computer program.A novel framework for the development of fragility models of the transmission conductors was presented to estimate the probability of failure for conductors during hurricane events. This was accomplished by using the modal superposition method to efficiently model the mechanical response of the conductors. Nonlinear finite element analysis was conducted to validate the modal superposition method. The first-order reliability method was implemented to capture the low failure probability of a single conductor with sufficient accuracy, as confirmed by Monte Carlo simulation. The results show that the failure probability of the conductors increases significantly once the wind speed reaches a certain critical value. The wind direction and span length have a considerable influence on the failure probability. Therefore, the variability of span lengths over the transmission network substantially affects the overall system failure.The fragility model of transmission towers is one of the critical elements for the hurricane risk and resilience assessment of regional power utility infrastructure. A component-based methodology to develop accurate fragility curves of transmission towers under hurricane events was proposed. The various features of tower connections were considered, and the global collapse of the tower was modeled through element removal and progressive collapse analyses. A case study of two transmission towers was carried out. The results indicate that, compared to a traditional tip displacement method, the proposed component-based method with a detail-driven finite element model and large-scale simulations lead to a more accurate assessment of the transmission tower fragility curve.A series of case studies were conducted to investigate the dynamic interactions between the support structures and conductors. Finite element models were built for conductors and support structures with different fundamental frequencies. The dynamic simulations were carried out under different wind directions and intensities. The results show that the dynamic interactions between conductors and towers are small for both tension towers and suspension towers and do not affect the fragilities of the structures meaningfully.Regarding network-level analysis, a novel technique for the probabilistic simulation of power transmission systems under hurricane events was presented. The study models the power transmission system as a network of connected individual components, which are subjected to wind-induced mechanical failure and power flow constraints. The spatio-temporal impact of the hurricane was investigated, and the combined effects of wind intensities and wind directions were taken into account by using a novel sampling methodology. The proposed methodology was applied to the Lehigh Valley power transmission network. It has been shown that the technique is effective in quantification and visualization of the power network performance.For the restoration analysis, a methodology to simulate and predict the post-event restoration process and functionality recovery of damaged structures and a power transmission system is presented. The methodology is applied to the IEEE 30-bus system and a damaged substation. The computed functionality probability at different times can help decision-makers to conduct emergency management activities and adjust mitigation policies with a more realistic understanding of the field performances of critical structures and infrastructure systems.

ISBN: 9798569962983Subjects--Topical Terms:

860360
Civil engineering.
Subjects--Index Terms:

Probabilistic assessment

Multi-Scale Methodologies for Probabilistic Assessment of Structural and Functional Performance of Power Transmission Systems Under Hurricanes.
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300 $a 263 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-09, Section: B.
500 $a Advisor: Bocchini, Paolo.
502 $a Thesis (Ph.D.)--Lehigh University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a A hurricane is a tropical cyclone whose maximum sustained wind speed has reached 33 m/s. It is one of the major natural hazards that inflict significant damage to power transmission systems. A Power transmission network consists of hundreds of interconnected transmission lines, which are the links between substations and power plants. Structures in a transmission line, such as towers and conductors, are directly exposed to the large wind loads induced by hurricanes. Failures of these structures trip transmission lines and result in large-scale power outages causing dramatic economic and social loss.To this respect, this research is mostly focused on mechanical and dynamic modeling of the structural behavior under hurricanes, development of fragility curves of structures considering the uncertainties in wind fluctuations and structural capacities, and quantification of the power network structural and functional performance during hurricane events.The scope of the study includes (i) development of a hysteretic model of single-bolted angle connections for lattice steel towers; (ii) development of fragility models of electrical conductors in power transmission networks; (iii) development of component-based fragility models of transmission towers; (iv) investigation of tower-conductor dynamic interaction; (v) development of a framework for probabilistic simulation of the power transmission network performance under hurricane events; (vi) probabilistic simulation of power transmission system restoration and functionality recovery.The accurate hysteretic models of transmission tower connections are the first step towards the dynamic simulation and fragility assessment of transmission towers under hurricane events. In this regard, the mechanics and the various stages of the joint's hysteretic behavior, including friction, slippage, bolt bearing, and plasticity, were investigated. Finite element models were built and validated for the analytical modeling of the joint under monotonic loading. The hysteretic behavior model was then developed, considering cyclic joint slippage and bolt-hole elongation (damage accumulation). A novel algorithm was developed to incorporate the analytical model into a computer program.A novel framework for the development of fragility models of the transmission conductors was presented to estimate the probability of failure for conductors during hurricane events. This was accomplished by using the modal superposition method to efficiently model the mechanical response of the conductors. Nonlinear finite element analysis was conducted to validate the modal superposition method. The first-order reliability method was implemented to capture the low failure probability of a single conductor with sufficient accuracy, as confirmed by Monte Carlo simulation. The results show that the failure probability of the conductors increases significantly once the wind speed reaches a certain critical value. The wind direction and span length have a considerable influence on the failure probability. Therefore, the variability of span lengths over the transmission network substantially affects the overall system failure.The fragility model of transmission towers is one of the critical elements for the hurricane risk and resilience assessment of regional power utility infrastructure. A component-based methodology to develop accurate fragility curves of transmission towers under hurricane events was proposed. The various features of tower connections were considered, and the global collapse of the tower was modeled through element removal and progressive collapse analyses. A case study of two transmission towers was carried out. The results indicate that, compared to a traditional tip displacement method, the proposed component-based method with a detail-driven finite element model and large-scale simulations lead to a more accurate assessment of the transmission tower fragility curve.A series of case studies were conducted to investigate the dynamic interactions between the support structures and conductors. Finite element models were built for conductors and support structures with different fundamental frequencies. The dynamic simulations were carried out under different wind directions and intensities. The results show that the dynamic interactions between conductors and towers are small for both tension towers and suspension towers and do not affect the fragilities of the structures meaningfully.Regarding network-level analysis, a novel technique for the probabilistic simulation of power transmission systems under hurricane events was presented. The study models the power transmission system as a network of connected individual components, which are subjected to wind-induced mechanical failure and power flow constraints. The spatio-temporal impact of the hurricane was investigated, and the combined effects of wind intensities and wind directions were taken into account by using a novel sampling methodology. The proposed methodology was applied to the Lehigh Valley power transmission network. It has been shown that the technique is effective in quantification and visualization of the power network performance.For the restoration analysis, a methodology to simulate and predict the post-event restoration process and functionality recovery of damaged structures and a power transmission system is presented. The methodology is applied to the IEEE 30-bus system and a damaged substation. The computed functionality probability at different times can help decision-makers to conduct emergency management activities and adjust mitigation policies with a more realistic understanding of the field performances of critical structures and infrastructure systems.
590 $a School code: 0105.
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650 4 $a Statistical physics. $3 536281
650 4 $a Energy. $3 876794
650 4 $a Mechanical engineering. $3 649730
653 $a Probabilistic assessment
653 $a Structural performance
653 $a Functional performance
653 $a Power transmission system
653 $a Hurricane
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710 2 $a Lehigh University. $b Civil Engineering. $3 1671694
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792 $a 2021
793 $a English
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