Identification of Static Loads in Wharf Mooring Cables Using the Influence Coefficient Method

Directly measuring the mooring cable load while a ship is moored at a wharf poses significant practical challenges. This paper proposes an indirect load measurement method to identify mooring cable static loads based on the Influence Coefficient Matrix (ICM) method. First, a finite element analysis of the bollard is conducted to obtain the full-field strains under each unit load. A solution procedure based on the genetic algorithm (GA) is then implemented to determine the optimal placement and orientation of strain gauges, aiming to improve load identification accuracy. An optimal load coefficient matrix is derived to establish the correlation between cable loads and bollard strains. Subsequently, following the established measured point placement scheme, strain gauges are installed on the bollard surface to capture the strains, enabling inverse identification of mooring cable loads through the measured strains and the pre-established load-strain relationship. A numerical case study validated the feasibility of this method, demonstrating high identification accuracy. Furthermore, experimental verification was conducted to assess its reliability under different conditions. Results confirmed the effectiveness of this indirect approach for mooring cable static loads measurement. The research findings provide a technical framework for real-time monitoring of mooring cable loads.

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Publication Details

Journal
Sensors
Published
2025-09-19
DOI
https://doi.org/10.3390/s25185867
Primary Topic
Structural Health Monitoring Techniques
Type
article
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article

Identification of Static Loads in Wharf Mooring Cables Using the Influence Coefficient Method

Haojie Pan, Bo Jiao, Changshi Xiao, Haiwen Yuan et al.
Sensors
Structural Health Monitoring Techniques
article

Identification of Static Loads in Wharf Mooring Cables Using the Influence Coefficient Method

Haojie Pan, Bo Jiao, Changshi Xiao, Haiwen Yuan, Langxiong Gan, Jia Zhou
article en

Abstract

Directly measuring the mooring cable load while a ship is moored at a wharf poses significant practical challenges. This paper proposes an indirect load measurement method to identify mooring cable static loads based on the Influence Coefficient Matrix (ICM) method. First, a finite element analysis of the bollard is conducted to obtain the full-field strains under each unit load. A solution procedure based on the genetic algorithm (GA) is then implemented to determine the optimal placement and orientation of strain gauges, aiming to improve load identification accuracy. An optimal load coefficient matrix is derived to establish the correlation between cable loads and bollard strains. Subsequently, following the established measured point placement scheme, strain gauges are installed on the bollard surface to capture the strains, enabling inverse identification of mooring cable loads through the measured strains and the pre-established load-strain relationship. A numerical case study validated the feasibility of this method, demonstrating high identification accuracy. Furthermore, experimental verification was conducted to assess its reliability under different conditions. Results confirmed the effectiveness of this indirect approach for mooring cable static loads measurement. The research findings provide a technical framework for real-time monitoring of mooring cable loads.

SensorsVol. 25(18)
Wuhan University of Technology (CN), Naval University of Engineering (CN), Shandong Jiaotong University (CN), Wuhan Institute of Technology (CN)
Openalex Percentile: Top 73%
Structural Health Monitoring Techniques
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Identification of Static Loads in Wharf Mooring Cables Using the Influence Coefficient Method — Haojie Pan, Bo Jiao, et al. · Sensors (2025) | TGRS Research Map | TGRS