A Beam-Deflection-Based Approach for Cable Damage Identification
To address the limitations of existing cable damage identification methods in terms of environmental robustness and measurement dependency, this study proposes a novel damage identification approach based on the second-order difference characteristics of main beam deflection. Through theoretical derivation, the intrinsic relationship between cable damage and local deflection field disturbances in the main beam was revealed, leading to the innovative definition of a second-order difference of deflection (DISOD) index for damage localization. By analyzing the second-order deflection differences at the anchorage points of a three-cable group (a central cable and its two adjacent cables), the damage status of the central cable can be directly determined. The research comprehensively employed finite element numerical simulations and scaled model experiments to systematically validate the method’s effectiveness in identifying single-cable and double-cable (both adjacent and non-adjacent) damage scenarios under various noise conditions. This method enables damage localization without direct cable force measurement, demonstrates anti-noise interference capability, achieves rapid and accurate identification, and provides a technically promising solution for the health monitoring of long-span cable-stayed bridges.
Authors
- S. Li
- Yanxiao Yang
- Qihang Wu
- Lin Li
- Li Zhao
- Weile Yang
- Meng Wang
- Hongbin Xu
Institutions
- Shenzhen University (CN)
- Shijiazhuang University (CN)
- Chinese Academy of Sciences (CN)
- Hebei University of Science and Technology (CN)
- Guangzhou University (CN)
- CCCC Highway Consultants (China) (CN)
- China Railway Design Corporation (China) (CN)
- Institute of Semiconductors (CN)
- Hebei University of Architecture (CN)
- China Coal Research Institute (China) (CN)
- Shijiazhuang Tiedao University (CN)
Publication Details
- Journal
- Buildings
- Published
- 2026-01-08
- DOI
- https://doi.org/10.3390/buildings16020276
- Primary Topic
- Structural Health Monitoring Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00