Work

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

Year: 2025

Type: article

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.

Source: Nuclear Engineering and Technology

DOI: 10.1016/j.net.2025.103503

Authors: Hyeongyeong Jin, Seunghun Baek

Institution: Pusan National University

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $200