| Author: | Qian, Jing |
| Title: | Surrogate-enabled seismic performance analysis of spatially distributed bridges |
| Advisors: | Dong, You (CEE) Xia, Yong (CEE) |
| Degree: | Ph.D. |
| Year: | 2022 |
| Subject: | Bridges -- Design and construction Earthquake resistant design Earthquake engineering Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Civil and Environmental Engineering |
| Pages: | xxii, 203 pages : color illustrations |
| Language: | English |
| Abstract: | Transportation networks are crucial for the development of society. The spatially distributed bridges are vulnerable components within transportation networks. Earthquakes can occur stochastically within the service life of the bridges, damage the bridges, disrupt the functionality of transportation networks, and cause social, economic, and environmental consequences. Performance-based earthquake engineering (PBEE) is a new-generation philosophy for the assessment and decision-making of bridges. In this context, the bridges are expected to satisfy different performance objectives concerned by the stakeholders. Due to the existence of dependence and uncertainty from multiple sources within PBEE, improving the confidence of seismic performance analysis of bridges is an essential task to aid effective design and management. It is necessary to develop an integrated framework dealing with uncertainty and dependence to jointly improve the confidence of PBEE. Besides, the occurrence of earthquakes is associated with stochastic time and intensity, and deterioration can continuously affect the performance of structures over time. Carbon neutrality and resilience are emerging goals of society. To contribute to a sustainable and resilient city, an approach of life-cycle sustainability and resilience assessment is needed. Novel structures should be developed to mitigate the seismic hazards considering life-cycle performance. In this thesis, a surrogate-enabled performance analysis framework is developed for spatially distributed bridges against earthquakes. The confidence of seismic performance assessment is jointly improved by appropriate IM selection, advanced demand surrogate model, multi-criteria global sensitivity analysis, and complex dependence capture. An approach for seismic intensity measure (IM) selection incorporating the trade-off among multiple criteria is proposed. An acceleration algorithm is formulated to develop the seismic demand surrogate model for performance assessment. A two-stage multi-criteria global sensitivity analysis approach coupling surrogate model and decision technique is developed to identify the holistic sensitive parameters to the system. A vine-copula-based approach is proposed to capture the complex dependence within the assessment. The historical data and artificially generated data from numerical models are used to develop the predictive models. Then, the performance assessment is extended to a life-cycle context. An approach for life-cycle sustainability and resilience assessment of bridges is introduced incorporating the compound effects of earthquakes and deterioration. The time-dependent performance is computed based on the deterioration process. The stochastic renewal process is used to model the stochastic occurrence of the earthquake. The life-cycle sustainability and resilience can be computed by accumulating the consequences arising from potential hazards within an investigated time horizon. Finally, the life-cycle performance of a potential hazard mitigation solution (steel-shape memory alloy reinforced bridge) is assessed. New insights into the life-cycle cost and benefit of the novel bridge in terms of sustainability and resilience are provided. Overall, the developed framework provides technical foundations of confident seismic performance analysis to aid the design and management of spatially distributed bridges against earthquakes. |
| Rights: | All rights reserved |
| Access: | open access |
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