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Smart Structures and Systems
  Volume 35, Number 1, January 2025 , pages 53-64
DOI: https://doi.org/10.12989/sss.2025.35.1.053
 


Detection of wire breakage in steel strands using a roving magnetostrictive guided wave detector and outlier analysis
Xiaodong Sui, Ru Zhang, Yuanfeng Duan, Yaozhi Luo and Chungbang Yun

 
Abstract
    It is crucial to detect the local damages on steel strands and cables to ensure the safety of a cable-supported structure. A magnetostrictive (MS) guided wave-based method for local wire breakage condition assessment is presented in this study. Traditional guided wave-based structure health monitoring methods, which rely on damage-reflected wave packets, often struggle with the challenge of significant wave energy attenuation over long propagation distances. To overcome this problem, a damage detector comprising a pair of MS transducers was developed. The detector is designed to move along the steel strand, obtaining the transmitted wave energy at various locations. An outlier analysis was conducted by taking the transmitted wave energy as a feature sensitive to damage. The threshold value for the transmitted wave energy was determined for wire breakage detection and localization, and the wave energy transmission coefficient was employed for local damage severity estimation. Numerical and experimental studies were carried out on a seven-wire steel strand with a single wire breakage case. The results demonstrate that the damage location and local damage severity can be estimated accurately using the proposed method.
 
Key Words
    outlier analysis; roving magnetostrictive guided wave detector; steel strand; wave energy method; wire breakage
 
Address
(1) Xiaodong Sui, Yuanfeng Duan, Yaozhi Luo, Chungbang Yun:
College of Civil Engineering and Architecture, Zhejiang University, China;
(2) Xiaodong Sui, Ru Zhang:
Department of Civil Engineering, Hangzhou City University, China;
(3) Xiaodong Sui, Ru Zhang:
Key Laboratory of Safe Construction and Intelligent Maintenance for Urban Shield Tunnels of Zhejiang Province, Hangzhou City University, China.
 

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