In light of the rapid urbanization and the growing demand for urban resilience and long-term stability, it has become crucial to ensure the long-term safety, stability, and reliable operation of Infrastructures systems, and to promote the quantitative characterization and balanced regulation of their service performance throughout their service life. Theoretical simulations and information decision-making of the stochastic evolution behavior of infrastructure systems are key to their intelligent operation and maintenance management. Therefore, the purpose of this Research Topic is to focus on new theories and technologies in the field of intelligent operation and maintenance of infrastructure systems.
We aim to address a range of new theories and technologies, including stochastic evolution theories, information decision-making technologies, structural dynamic methods, time-varying reliability methods, data analytics, and artificial intelligence (AI) in the prediction and management of bridges, rail transit infrastructures, tunnels, and important urban facilities. The research articles should thoroughly explore how these theories and technologies help assess structural dynamic behavior and integrity, predict and prevent potential structural risk, and enhance the efficiency of intelligent operation and maintenance.
This Research Topic covers different specific themes. The manuscripts published in this Research Topic should include, but are not exclusive to, the research areas described below:
• Smart Disaster Prevention and Mitigation
• Advanced Numerical Simulation of Dynamic Behavior of Railway Infrastructure
• Green Construction and Maintenance
• Smart Planning and Design
Keywords:
Service Performance Evolution of Infrastructure, Maintenance and Performance Maintenance, Structural Performance, Dynamic Performance, System Dynamics
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
In light of the rapid urbanization and the growing demand for urban resilience and long-term stability, it has become crucial to ensure the long-term safety, stability, and reliable operation of Infrastructures systems, and to promote the quantitative characterization and balanced regulation of their service performance throughout their service life. Theoretical simulations and information decision-making of the stochastic evolution behavior of infrastructure systems are key to their intelligent operation and maintenance management. Therefore, the purpose of this Research Topic is to focus on new theories and technologies in the field of intelligent operation and maintenance of infrastructure systems.
We aim to address a range of new theories and technologies, including stochastic evolution theories, information decision-making technologies, structural dynamic methods, time-varying reliability methods, data analytics, and artificial intelligence (AI) in the prediction and management of bridges, rail transit infrastructures, tunnels, and important urban facilities. The research articles should thoroughly explore how these theories and technologies help assess structural dynamic behavior and integrity, predict and prevent potential structural risk, and enhance the efficiency of intelligent operation and maintenance.
This Research Topic covers different specific themes. The manuscripts published in this Research Topic should include, but are not exclusive to, the research areas described below:
• Smart Disaster Prevention and Mitigation
• Advanced Numerical Simulation of Dynamic Behavior of Railway Infrastructure
• Green Construction and Maintenance
• Smart Planning and Design
Keywords:
Service Performance Evolution of Infrastructure, Maintenance and Performance Maintenance, Structural Performance, Dynamic Performance, System Dynamics
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.