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Error estimation of load identification based on linear sensitivity analysis and interval technique

  • Haiyang Song
  • , Kaiping Yu*
  • , Xiangyang Li
  • , Jingyong Han
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper applies interval perturbation approach to load identification in the statistical energy analysis (SEA) framework, and the influence of the measurement errors of parameters on identified loads is revealed. By considering the damping loss factors and coupling loss factors with measurement errors as interval variables, the errors in identified loads can finally be estimated. The presented interval approach is demonstrated through the simulated study for a two-plate coupling structure and the simulated study for a plate-shell coupling structure. Meanwhile, the identified load with considering the measurement errors of the damping loss factors and coupling loss factors is compared with that without considering the measurement errors of the damping loss factors and coupling loss factors. The results show that the measurement errors of damping loss factors and coupling loss factors have a large effect on identified load, so the measurement errors of damping loss factors and coupling loss factors are non-ignorable when the high-frequency load identification based on SEA is carried out.

Original languageEnglish
Pages (from-to)423-436
Number of pages14
JournalStructural and Multidisciplinary Optimization
Volume55
Issue number2
DOIs
StatePublished - 1 Feb 2017

Keywords

  • Error estimation
  • Interval perturbation approach
  • Load identification
  • Statistical energy analysis

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