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Research status and prospects of health monitoring methods and applications for large-span structures

Year: 2025

Type: article

Abstract: With the extended service life of these structures and increasingly challenging service environments, ensuring the structural safety and durability of in-service large-span structures, as well as extending their operational lifespan, has become a critical concern. To promote the advancement of health monitoring technologies for large-span structures and enhance their operational safety, this paper systematically reviews the research progress in this field over the past two decades, both domestically and internationally. The review emphasizes the suitability of health monitoring systems, methods for preprocessing monitoring data, damage identification algorithms, and the integration of digital twin technology in structural health monitoring (SHM). The analysis reveals a growing trend towards the application of machine learning (ML) techniques and digital twin technologies in the monitoring of structures, highlighting their potential to improve monitoring accuracy and efficiency.

Source: Discover Applied Sciences

DOI: 10.1007/s42452-025-07679-7

Authors: Shengxuan Shao, Ye Yuan, Zechen Xue, Xia Feng, Yongjun Qiao, Bo Huang

Institutions: Suzhou Thermal Engineering Research Institute, State Key Laboratory Breeding Base of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Merchants Chongqing Communications Research and Design Institute

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Chongqing Jiaotong University