Resilient and Intelligent Technologies: Advances in Earthquake Engineering and Structural Health Monitoring

Recent advances in earthquake engineering have increasingly focused on developing resilient and intelligent technologies to enhance the safety and sustainability of modern infrastructure. The growing frequency of extreme seismic events has emphasized the need for smart systems capable of monitoring, assessing, and adapting to structural performance in real time. Structural Health Monitoring (SHM) technologies, powered by artificial intelligence, digital twin frameworks, and advanced sensing methods, have emerged as transformative tools for improving resilience and reducing vulnerability in built environments. These technologies enable early damage detection, performance prediction, and decision-making for maintenance and retrofitting, ultimately supporting safer and more sustainable engineering systems. This Research Topic aims to explore how intelligent technologies can redefine resilience in earthquake-prone regions and contribute to the next generation of adaptive engineering solutions.The main goal of this Research Topic is to advance the development and application of resilient and intelligent technologies that enhance the seismic performance and safety of engineering systems. Despite remarkable progress in earthquake engineering, many infrastructures remain highly vulnerable due to uncertainties in material behavior, loading conditions, and long-term degradation. Conventional design and monitoring methods are often insufficient for real-time assessment and adaptive response under dynamic loading. This Research Topic seeks to bridge that gap by integrating artificial intelligence, digital twin platforms, and advanced sensor networks to improve the accuracy, efficiency, and automation of Structural Health Monitoring (SHM) processes. By combining data-driven models with physics-based approaches, researchers can better predict structural performance, detect early signs of damage, and optimize resilience-based design. The goal is to provide a scientific foundation for next-generation earthquake-resistant systems capable of self-assessment, adaptive control, and rapid recovery after seismic events.This Research Topic welcomes original research papers, reviews, and perspectives addressing recent advances in earthquake engineering, marine and offshore structures, and structural health monitoring (SHM). Submissions may focus on resilient and intelligent technologies, including artificial intelligence, digital twins, smart sensors, and data-driven decision-making for seismic, coastal, and offshore systems. Topics of interest include vibration-based damage detection, dynamic response of offshore and onshore structures, adaptive control systems, risk-based resilience assessment, and sustainability optimization. Contributions are encouraged from diverse disciplines such as civil, structural, mechanical, marine, ocean, coastal, computer, electrical, materials, and environmental engineering, as well as project management, engineering management, construction management, and urban planning. Studies combining technical, economic, and managerial perspectives are particularly welcome. The goal is to foster interdisciplinary collaboration that enhances the safety, resilience, and sustainability of infrastructure across engineering and management domains in both terrestrial and marine environments. Topic editors: Seyed Reza Samaei, JIAN LIU, Mohammad Asadian Ghahfarokhi, Pegah Jafari Haghighatpour Source: https://www.frontiersin.org/research-topics/75194/resilient-and-intelligent-technologies-advances-in-earthquake-engineering-and-structural-health-monitoring