Lifeline and infrastructure systems, involving many industries such as municipal, construction, transportation, oil & gas, marine, are the backbone of modern society. Ensuring their uninterrupted operation and safety is paramount for public welfare and economic stability. Through conducting research into effective health monitoring methods, testing methods, intelligent sensors development, the safety of Lifeline and infrastructure can be ensured.

The Research Topic aims to delve into the latest research advancements in advanced sensor design, test method analysis, safety diagnosis, and equipment development across key industries including pipelines, bridges, railways and offshore structures.

Key topics to be explored in this Research Topic include but are not limited to:

• Advanced inspection sensors: Highlighting the latest advancements in sensor technology tailored for pipelines, bridges, railways and other lifeline & infrastructures, with a focus on enhancing inspection accuracy and efficiency;

• Structural health monitoring: Exploring cutting-edge approaches to structural health monitoring and vibration signal processing techniques aimed at early detection of potential failures or vulnerabilities in lifeline & infrastructures;

• Resilience of offshore and coastal structures: Investigating the resilience of offshore and coastal structures to environmental loadings, including innovative design methodologies and risk mitigation strategies;

• Underground Lifeline Safety: Delving into the evolution mechanism and safety diagnosis of critical disasters in underground lifeline (subways, tube corridors, pipelines);

• Railway System Optimization: Presenting novel methods for reducing vibration and noise in railway systems, with the aim of improving operational efficiency and minimizing environmental impacts.

Topic editor Dr. Wei Liu is employed by China Academy of Railway Sciences Corporation Limited and declares no competing interests with regards to the Research Topic Subject.

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Frontiers in Built Environment

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