Evidence map›Paper›PMID 41013104›Full record

ArticleSensors (Basel, Switzerland)2025

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

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jia ZhouSchool of Navigation, Wuhan University of Technology, Wuhan 455063, China.ORCID 0009-0000-5702-620X
Changshi XiaoSchool of Navigation, Wuhan University of Technology, Wuhan 455063, China.ORCID 0000-0001-9286-2094
Langxiong GanSchool of Navigation, Wuhan University of Technology, Wuhan 455063, China.
Bo JiaoSchool of Naval Architecture and Port Engineering, Shandong Jiaotong University, Weihai 264209, China.ORCID 0000-0002-2927-1707
Haojie PanSchool of Naval Architecture and Port Engineering, Shandong Jiaotong University, Weihai 264209, China.
Haiwen YuanSchool of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, China.ORCID 0000-0002-5609-4558

Funding

Hubei Provincial Natural Science Foundation 2022CFB313National Natural Science Foundation of China National Natural Science Foundation of China (52001235)
6 · The paper itself

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.

Indexed as

indirect measurementinfluence coefficient matrix (ICM)load identificationmooring cable loadstrain gauge placement

Identifiers

PMID41013104
PMCPMC12473188

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.