One Novel Dynamic-Load Time-Domain-Identification Method Based on Function Principle

Hongqiu Li, Jinhui Jiang, Wenxu Cui, Jiamin Zhao, M. Shadi Mohamed

Research output: Contribution to journalArticlepeer-review

Abstract

In order to ensure the reliability of the structural design, it is necessary to know the external loads acting on the structure. In this paper, we propose a novel method to identify the dynamic loads based on function principles in the time domain. Assuming the external load remains constant within one micro segment, we establish a linear relationship between external load and structural response in the micro segments based on the mechanical energy conservation law. Next, the external load is obtained by solving the inverse problem in each micro-segment. Finally, the external load in the whole time domain is achieved by fitting the load-identification results in each micro segment. In order to verify the effectiveness and accuracy, single-force and two-force identification, and load identification with noise simulations, are performed on the structures, and the identification results are compared to the ones of the traditional time-domain method with a deviation of less than 5%. The proposed method can effectively solve the problem of cumulative errors in the time-domain method, while its resistance to noise interference is also strong. At last, we verify the experimental performance of the proposed method. The experimental results show the effectiveness and high accuracy of the proposed method. This work presents a first attempt to solve the structural dynamic load with an approach based on a function principle.
Original languageEnglish
Article number9623
JournalApplied Sciences
Volume12
Issue number19
Early online date25 Sep 2022
DOIs
Publication statusPublished - Oct 2022

Keywords

  • dynamic-load identification
  • experiment
  • function principle
  • inverse problem
  • time domain method

ASJC Scopus subject areas

  • Engineering(all)
  • Instrumentation
  • Materials Science(all)
  • Fluid Flow and Transfer Processes
  • Process Chemistry and Technology
  • Computer Science Applications

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