Risk Control and Performance Design of Bridge Structures

Dear Colleagues,

Bridge structures are an important part of transportation networks and urban lifeline engineering. During their service life, bridges not only have to withstand traffic loads, but also are exposed to multiple dynamic hazards, such as earthquakes, vehicle/ship collisions, and accidental and terrorist explosions. These extreme dynamic loads can cause severe damage to the bridge components and structures, and weaken the structural performance, which may lead to catastrophic consequences with massive personnel injuries and fatalities, enormous economic loss, and immeasurable social impact. Therefore, in the designing and operation of bridges, it is of great importance to reasonably assess the effects of extreme loads on bridges and to reduce the probability or impact of potential hazards through the application of advanced risk control strategies and design concepts.

The aim of this Special Issue is to showcase recent advances in innovative research and engineering technologies that mitigate risks and enhance the performance of bridges under earthquakes, impacts, blasts and so on. These include the development and application of advanced materials in bridge design and construction; the adoption of advanced simulation and modeling techniques for dynamic response analysis of bridges under extreme loads; the development of artificial intelligence-based models for rapid/real-time prediction of the effects of extreme events; the retrofitting and strengthening approaches to enhance the bridge structural performance; and the integration of smart sensing and monitoring systems for early detection of potential risks and failures. Both original research articles and reviews are welcome. We look forward to receiving your contributions.

Dr. Minghong Li
Dr. Yuanzheng Lin
Dr. Sandro Carbonari
Prof. Dr. Weiqiang Wang
Guest Editors

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• bridge structures
• dynamic multi-hazards
• dynamic response analysis
• structural performance assessment
• bridge design
• risk control and management
• artificial intelligence
• retrofitting and strengthening approaches
• smart sensing and monitoring