The Sensitivity Method in Stochastic Model Updating

被引:0
|
作者
Mottershead, John E. [1 ]
Link, Michael [2 ]
Silva, Tiago A. N. [3 ]
Govers, Yves [4 ]
Khodaparast, Hamed Haddad [5 ]
机构
[1] Univ Liverpool, Ctr Engn Dynam, Liverpool L69 3GH, Merseyside, England
[2] Univ Kassel, Inst Stat & Dynam, D-34109 Kassel, Germany
[3] Univ Lisbon, Inst Super Tecn, LAETA, IDMEC, Lisbon, Portugal
[4] German Aerosp Ctr DLR, Inst Aeroelast, D-37073 Gottingen, Germany
[5] Univ Swansea, Coll Engn, Swansea SA2 8PP, W Glam, Wales
关键词
Model updating; Sensitivity method; Probabilistic; Interval; PARAMETER VARIABILITY;
D O I
10.1007/978-3-319-09918-7_5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Probabilistic and interval model updating methods are described, with particular attention paid to variability in nominally identical test structures due, for example, to the effect of accumulated manufacturing tolerances, or degradation of performance caused by wear of engineering components. In such cases the updating parameter distributions are meaningful physically either as PDFs or as intervals. Stochastic model updating is an inverse problem, generally requiring multiple forward solutions, which may be carried out very efficiently by the use of surrogates, in place of full FE models. The procedure is illustrated by experimental examples, including model updating of (i) a frame structure with uncertain locations of two internal beams and (ii) the DLR AIRMOD structure, which displays vibration characteristics very similar to those of a real aircraft.
引用
收藏
页码:65 / +
页数:3
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