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Manuscript Submission Deadline 13 January 2024

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Currently, most cities worldwide are experiencing a shift towards a more sustainable mode for construction and operation. However, the extremely high maintenance costs and carbon emissions pose significant constraints on the development of modern cities. Fortunately, advancements in artificial intelligence, big data, sensors, composite materials, robotics, building information modeling (BIM), digital twin (DT) and other technologies have revolutionized operation & maintenance of urban and rural infrastructures. For instance, the massive data observed from multi-modal sensors can provide support for the state evaluation of structures and other entities within the generalized system of infrastructures. Additionally, novel self-sensing and phase-change materials allows for real-time control systems of infrastructures. Intelligent operation & maintenance will become a core theme for future cities with resilience to sudden disasters and long-term deterioration.

The key breakthroughs in intelligent operation & maintenance for future resilient infrastructures mainly focus on perception and control technologies. Innovations in measuring theories, sensors, observing vehicles (e.g., robots), and data transmission and processing technologies contribute to precise perception of macro and micro behavior, as well as the current state for generalized systems of resilient infrastructures. The incorporation of new materials, structural systems, detailed configurations, and energy dissipation devices (e.g., dampers) can assist in achieving digital control of infrastructures’ structure, thereby effectively improving the resilience of generalized systems of resilient infrastructures. Furthermore, leveraging BIM and DT system allows for the aggregation and allocation of multi-source heterogeneous information in the perception and control of cities’ operation & maintenance.

The aim of the current Research Topic is to cover promising, recent, and novel research trends in urban and rural infrastructures’ monitoring and control. Areas to be covered in these research topics may include, but are not limited to:

• Novel measuring theories and technologies based on multiple modalities;
• Control of robots and drones for structural inspection and repair;
• BIM and DT;
• New materials of phase-change and self-sensing;
• Big data mining and analytics in infrastructure’s operation & maintenance;
• Artificial intelligence in structural monitoring and control;
• New sensors and perception strategies for infrastructures;
• New structural resilient design and energy dissipation devices.

Keywords: Urban and rural infrastructures, Resilient cities, Structural health monitoring, Structural control, Artificial intelligence


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.

Currently, most cities worldwide are experiencing a shift towards a more sustainable mode for construction and operation. However, the extremely high maintenance costs and carbon emissions pose significant constraints on the development of modern cities. Fortunately, advancements in artificial intelligence, big data, sensors, composite materials, robotics, building information modeling (BIM), digital twin (DT) and other technologies have revolutionized operation & maintenance of urban and rural infrastructures. For instance, the massive data observed from multi-modal sensors can provide support for the state evaluation of structures and other entities within the generalized system of infrastructures. Additionally, novel self-sensing and phase-change materials allows for real-time control systems of infrastructures. Intelligent operation & maintenance will become a core theme for future cities with resilience to sudden disasters and long-term deterioration.

The key breakthroughs in intelligent operation & maintenance for future resilient infrastructures mainly focus on perception and control technologies. Innovations in measuring theories, sensors, observing vehicles (e.g., robots), and data transmission and processing technologies contribute to precise perception of macro and micro behavior, as well as the current state for generalized systems of resilient infrastructures. The incorporation of new materials, structural systems, detailed configurations, and energy dissipation devices (e.g., dampers) can assist in achieving digital control of infrastructures’ structure, thereby effectively improving the resilience of generalized systems of resilient infrastructures. Furthermore, leveraging BIM and DT system allows for the aggregation and allocation of multi-source heterogeneous information in the perception and control of cities’ operation & maintenance.

The aim of the current Research Topic is to cover promising, recent, and novel research trends in urban and rural infrastructures’ monitoring and control. Areas to be covered in these research topics may include, but are not limited to:

• Novel measuring theories and technologies based on multiple modalities;
• Control of robots and drones for structural inspection and repair;
• BIM and DT;
• New materials of phase-change and self-sensing;
• Big data mining and analytics in infrastructure’s operation & maintenance;
• Artificial intelligence in structural monitoring and control;
• New sensors and perception strategies for infrastructures;
• New structural resilient design and energy dissipation devices.

Keywords: Urban and rural infrastructures, Resilient cities, Structural health monitoring, Structural control, Artificial intelligence


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.

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