Advanced Sensors for Bridge Optimization, Condition and Resilience Monitoring

Dear Colleagues,

Various categories of bridges, including suspension bridges and cable-stayed bridges, have been constructed in the last few decades. After long-term service with maintenance and repair, the need to save on costs by using optimization algorithms has arisen as an indispensable task in terms of economic considerations with the increasing application of machine learning and artificial intelligence for bridge condition and resilience monitoring. The full life-cycle of a bridge includes design, construction, management, maintenance, and repair, which integrate various directions of research, such as sensing techniques, structural dynamic analysis, data fusion, vibration mitigation, and soil dynamics. In most of these research directions, optimization algorithms using machine learning and artificial intelligence can not only be used to optimize the spatial geometry, but also to obtain the design that optimizes the cost. In addition, these algorithms can also optimize the sensor placement and management system.

This Special Issue aims to explore the advances of machine learning and artificial intelligence in bridge optimization and bridge condition and resilience monitoring. This includes studies from multidisciplinary fields; therefore, studies related to advances in bridge design, bridge condition monitoring, sensing techniques, and data processing from discrete fields, such as computer vision and civil engineering, are all welcome.

This Special Issue also intends to publish high-quality original research articles regarding advances in sensing techniques and structural dynamics and control, and reviews describing the latest developments. Original, high-quality contributions that have not been published elsewhere are the target of this Special Issue.

Potential topics include, but are not limited to:

• suspension bridge optimization;
• cable-stayed bridge optimization;
• bridge design optimization;
• sensor placement optimization;
• field testing advancements;
• advanced sensing systems;
• embedded sensing systems;
• long-term condition monitoring;
• machine learning in data processing;
• big data processing and management;
• structural vibration control;
• system identification; and
• model updating.

Dr. Yun Lai Zhou
Dr. Hongyou Cao
Prof. Dr. Linya Liu
Dr. Francisco Javier Cara Cañas
Guest Editors

Manuscript Submission Information

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• bridge optimization
• suspension bridge
• cable-stayed bridges
• footbridge
• structural optimization
• management system optimization
• sensing technique
• data processing
• structural dynamics
• machine learning
• artificial intelligence