A stochastic model updating strategy-based improved response surface model and advanced Monte Carlo simulation

Xue Zhai, Cheng Wei Fei, Yat Sze Choy, Jian Jun Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

25 Citations (Scopus)

Abstract

Firstly, the IRSM and its mathematical model were developed with the emphasis on moving least-square method, and the advanced MC simulation method is studied based on Latin hypercube sampling method as well. And then the SMU procedure was presented with experimental static test for complex structure. The SMUs of simply-supported beam and aeroengine stator system (casings) were implemented to validate the proposed IRSM and advanced MC simulation method. The results show that (1) the SMU strategy hold high computational precision and efficiency for the SMUs of complex structural system; (2) the IRSM is demonstrated to be an effective model due to its SMU time is far less than that of traditional response surface method, which is promising to improve the computational speed and accuracy of SMU; (3) the advanced MC method observably decrease the samples from finite element simulations and the elapsed time of SMU. The efforts of this paper provide a promising SMU strategy for complex structure and enrich the theory of model updating.
Original languageEnglish
Pages (from-to)323-338
Number of pages16
JournalMechanical Systems and Signal Processing
Volume82
DOIs
Publication statusPublished - 1 Jan 2017

Keywords

  • Design of experiment
  • Experimental static test
  • Monte Carlo simulation
  • Moving least-squares method
  • Response surface model
  • Stochastic model updating

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications

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