Cable Tension Identification for Short Cables with Added Mass Based on Single-point Measurement

For short cables with complex boundary conditions, the frequency-based method for cable tensionidentification relying on string/beam theoretical models yields significant errors. The introduction of the concept of Effective Vibration Length(EVL) allows the frequency method to circumvent the influence of boundary conditions. To address the limitations in EVL identification, this paper proposes a single-point measurement-based cable tensionidentification method for short cables under addedmass conditions. Its core advantages are simplifying the acceleration sensor for vibration signal acquisition and eliminating the original methods reliance on mode shape calculation to determine virtual hinges. During optimization, a length segment is selected and divided into multiple virtual hinge points; effective vibration lengths corresponding to these points are calculated under various mass conditions to generate a virtual hingeeffective vibration length diagram. Leveraging the invariant virtual hinge position and effective vibration length across different conditions, the true optimal effective vibration length is locked via curve intersections, enabling high-precision cable tensionidentification with a single sensor and without exact boundary conditions. Numerical simulations validate the robustness and accuracy of the method. Under various complex boundary conditions and mass block arrangements, the relative error in cable tension identification is generally below 3%, demonstrating good engineering adaptability. A full-scale indoor experiment further confirms that in a short cable with unknown boundaries, using only single-point accelerometer measurements and two added mass block conditions, the cable tension identification error is as low as 1.15%.

Authors

Institutions

Publication Details

Journal
International Journal of Structural Stability and Dynamics
Published
2026-08-27
DOI
https://doi.org/10.1142/s0219455427504992
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cable Tension Identification for Short Cables with Added Mass Based on Single-point Measurement

Chaofan Du, Limin Sun, Jingui Pan, Yuanzhao Chen et al.
International Journal of Structural Stability and Dynamics
Structural Health Monitoring Techniques
article

Cable Tension Identification for Short Cables with Added Mass Based on Single-point Measurement

Chaofan Du, Limin Sun, Jingui Pan, Yuanzhao Chen, Lin Chen, Qiwen Yang, Yiqing Zou, Lei Qin, Zhiquan Huang
article en

Abstract

For short cables with complex boundary conditions, the frequency-based method for cable tensionidentification relying on string/beam theoretical models yields significant errors. The introduction of the concept of Effective Vibration Length(EVL) allows the frequency method to circumvent the influence of boundary conditions. To address the limitations in EVL identification, this paper proposes a single-point measurement-based cable tensionidentification method for short cables under addedmass conditions. Its core advantages are simplifying the acceleration sensor for vibration signal acquisition and eliminating the original methods reliance on mode shape calculation to determine virtual hinges. During optimization, a length segment is selected and divided into multiple virtual hinge points; effective vibration lengths corresponding to these points are calculated under various mass conditions to generate a virtual hingeeffective vibration length diagram. Leveraging the invariant virtual hinge position and effective vibration length across different conditions, the true optimal effective vibration length is locked via curve intersections, enabling high-precision cable tensionidentification with a single sensor and without exact boundary conditions. Numerical simulations validate the robustness and accuracy of the method. Under various complex boundary conditions and mass block arrangements, the relative error in cable tension identification is generally below 3%, demonstrating good engineering adaptability. A full-scale indoor experiment further confirms that in a short cable with unknown boundaries, using only single-point accelerometer measurements and two added mass block conditions, the cable tension identification error is as low as 1.15%.

International Journal of Structural Stability and Dynamics
Twitter (United States) (US)
Openalex Percentile: Top 15%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.