A New Approach for Multiple Loads Identification Based on the Segmental Area of the Influence Lines

The dynamic responses of bridges under multi moving loads are an essential precursor for their structural health monitoring (SHM). To enable the precise identification of the main moving load(s) among multiple moving loads, this study proposes an improved multi-source dynamic load identification algorithm based on the segmental area of the influence line (SAI). Firstly, the segmental area of the influence line was calculated according to the velocity of loads and the distance between two loads, and then, the moving load could be isolated based on the law of the minimal error combining the base area of the original influence line. In addition, experiments were conducted employing laser displacement sensor systems to acquire structural dynamic responses. The results showed the following for the segmental area of the influence line: (1) identification errors for a single moving load could be controlled within 5%, while an error within 10% was achieved under two moving loads; (2) vehicle displacement identification error remained consistently below 5%; and (3) the proposed algorithm exhibited a speed-insensitive characteristic, enabling effective load identification across varying vehicle speeds. The experimental findings confirm that this method accurately identifies the main moving loads in a small deformation condition and can be extended to similar applications.

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Publication Details

Journal
Infrastructures
Published
2025-11-16
DOI
https://doi.org/10.3390/infrastructures10110308
Citations
1
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.95
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article

A New Approach for Multiple Loads Identification Based on the Segmental Area of the Influence Lines

Sakdirat Kaewunruen, Weiwei Qiu, Ping Liu
1 citations
Infrastructures
Structural Health Monitoring Techniques
0.95
article

A New Approach for Multiple Loads Identification Based on the Segmental Area of the Influence Lines

Sakdirat Kaewunruen, Weiwei Qiu, Ping Liu
article en
1 citations

Abstract

The dynamic responses of bridges under multi moving loads are an essential precursor for their structural health monitoring (SHM). To enable the precise identification of the main moving load(s) among multiple moving loads, this study proposes an improved multi-source dynamic load identification algorithm based on the segmental area of the influence line (SAI). Firstly, the segmental area of the influence line was calculated according to the velocity of loads and the distance between two loads, and then, the moving load could be isolated based on the law of the minimal error combining the base area of the original influence line. In addition, experiments were conducted employing laser displacement sensor systems to acquire structural dynamic responses. The results showed the following for the segmental area of the influence line: (1) identification errors for a single moving load could be controlled within 5%, while an error within 10% was achieved under two moving loads; (2) vehicle displacement identification error remained consistently below 5%; and (3) the proposed algorithm exhibited a speed-insensitive characteristic, enabling effective load identification across varying vehicle speeds. The experimental findings confirm that this method accurately identifies the main moving loads in a small deformation condition and can be extended to similar applications.

InfrastructuresVol. 10(11)
Jiangsu University of Science and Technology (CN), University of Birmingham (GB)
Openalex Percentile: Top 20%
Structural Health Monitoring Techniques
0.95
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A New Approach for Multiple Loads Identification Based on the Segmental Area of the Influence Lines — Sakdirat Kaewunruen, Weiwei Qiu, et al. · Infrastructures (2025) | TGRS Research Map | TGRS