Development of a force identification method using system-level measurements with component-level reduced-order modeling

The accurate estimation of excitation forces is essential for maintaining the structural integrity of dynamic systems. However, direct measurement of excitation forces is often infeasible in practical scenarios. To address this challenge, indirect measurement techniques have been the focus of significant research efforts. This study introduces a novel methodology for indirectly estimating excitation forces using the Component Mode Synthesis (CMS) technique. The proposed approach calculates excitation forces through equations of motion derived from a reduced-order model based on CMS. By utilizing system-level response data obtained from a minimal number of measurement points, this method achieves high prediction accuracy while substantially reducing computational demands. Validation of the proposed approach was performed through both Finite Element Method (FEM)-based simulations and experimental testing under various conditions. The results demonstrated the method’s robustness and accuracy, confirming its effectiveness in estimating excitation forces. This research provides a practical and efficient framework for force identification in dynamic systems, with broad potential for application across diverse industrial sectors.

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Publication Details

Journal
Nuclear Engineering and Technology
Published
2025-02-01
DOI
https://doi.org/10.1016/j.net.2025.103503
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a force identification method using system-level measurements with component-level reduced-order modeling

Seunghun Baek, Huan Jin
Nuclear Engineering and Technology
Structural Health Monitoring Techniques
article

Development of a force identification method using system-level measurements with component-level reduced-order modeling

Seunghun Baek, Huan Jin
article en

Abstract

The accurate estimation of excitation forces is essential for maintaining the structural integrity of dynamic systems. However, direct measurement of excitation forces is often infeasible in practical scenarios. To address this challenge, indirect measurement techniques have been the focus of significant research efforts. This study introduces a novel methodology for indirectly estimating excitation forces using the Component Mode Synthesis (CMS) technique. The proposed approach calculates excitation forces through equations of motion derived from a reduced-order model based on CMS. By utilizing system-level response data obtained from a minimal number of measurement points, this method achieves high prediction accuracy while substantially reducing computational demands. Validation of the proposed approach was performed through both Finite Element Method (FEM)-based simulations and experimental testing under various conditions. The results demonstrated the method’s robustness and accuracy, confirming its effectiveness in estimating excitation forces. This research provides a practical and efficient framework for force identification in dynamic systems, with broad potential for application across diverse industrial sectors.

Nuclear Engineering and TechnologyVol. 57(7)
Pusan National University (KR)
National Research Foundation of Korea
Openalex Percentile: Top 98%
Structural Health Monitoring Techniques
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Development of a force identification method using system-level measurements with component-level reduced-order modeling — Seunghun Baek, Huan Jin · Nuclear Engineering and Technology (2025) | TGRS Research Map | TGRS