2022
DOI: 10.1061/(asce)be.1943-5592.0001815
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Consideration of Climate Change Effects on the Seismic Life-Cycle Cost Analysis of Deteriorating Highway Bridges

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Cited by 25 publications
(9 citation statements)
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“…Wu et al (2020) observed that developments in data-driven bridge O&M are generally heading toward five areas of application [1]: (1) investigation of bridge deterioration factors and the development of bridge structural health models, (2) estimation of failure probability or load capacity, (3) evaluation of bridge life expectancy, (4) generation of solutions for resolving issues related to bridge or network-level O&M and selection of appropriate SHM and NDT tools, and (5) assessment or prediction of bridge condition. In one of the most recent studies, Mortagi and Ghosh (2022) suggested factoring in the potential adverse effects of climate change when evaluating the seismic performance of aging highway bridge structures [12]. Sony et al (2022) proposed a windowed one-dimensional convolutional neural network model to detect structural problems in bridges using the vibration responses collected by SHM systems [13].…”
Section: Introductionmentioning
confidence: 99%
“…Wu et al (2020) observed that developments in data-driven bridge O&M are generally heading toward five areas of application [1]: (1) investigation of bridge deterioration factors and the development of bridge structural health models, (2) estimation of failure probability or load capacity, (3) evaluation of bridge life expectancy, (4) generation of solutions for resolving issues related to bridge or network-level O&M and selection of appropriate SHM and NDT tools, and (5) assessment or prediction of bridge condition. In one of the most recent studies, Mortagi and Ghosh (2022) suggested factoring in the potential adverse effects of climate change when evaluating the seismic performance of aging highway bridge structures [12]. Sony et al (2022) proposed a windowed one-dimensional convolutional neural network model to detect structural problems in bridges using the vibration responses collected by SHM systems [13].…”
Section: Introductionmentioning
confidence: 99%
“…Existing bridges that have made Italian engineering internationally famous are currently affected by signals of degradation or damage, generally referred to in the following as "defects". They may be related to different reasons, such as an increase in traffic loads, concrete degradation, lack of maintenance, sudden events (such as earthquakes or hurricanes [6,7]), and climate change [8,9]. Also, the environmental exposure conditions strongly affect infrastructure durability.…”
Section: Introductionmentioning
confidence: 99%
“…The high vulnerability and strong degradation level of existing bridges worldwide have been discussed by several recent studies [6,8,9,13]; the presence of defects on the main elements of bridges, such as bearings, piers, and abutments, have been identified as critical for their performance [9]. The degradation control is crucial for optimizing maintenance strategies from an economic and management perspective.…”
Section: Introductionmentioning
confidence: 99%
“…In the recent literature, Cui et al 10 proposed an improved steel bar corrosion model that considers pitting corrosion and a change of the after‐cracking corrosion rate, and then the proposed model was used to assess the time‐dependent seismic fragility of RC bridges. In addition, based on the fragility analysis method, Vishwanath and Banerjee, 11 Mortagi and Ghosh, 12 and Pang et al 13 estimated the life‐cycle seismic resilience and economic loss of deteriorating bridges. The results demonstrated the importance of seismic fragility assessment in the life‐cycle context.…”
Section: Introductionmentioning
confidence: 99%