Parameter selection for model updating with global sensitivity analysis

被引：65

作者：

Yuan, Zhaoxu ^{[1
]}

Liang, Peng ^{[2
]}

Silva, Tiago ^{[3
]}

Yu, Kaiping ^{[1
]}

Mottershead, John E. ^{[2
]}

机构：

[1] Harbin Inst Technol, Dept Astronaut Sci & Mech, POB 304,92 West Dazhi St, Harbin 150001, Heilongjiang, Peoples R China

[2] Univ Liverpool, Dept Mech Mat & Aerosp Engn, Liverpool L69 3GH, Merseyside, England

[3] Univ Nova Lisboa, UNIDEMI, Dept Mech & Ind Engn, Campus Caparica, P-2829516 Caparica, Portugal

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2019年 / 115卷

基金：

美国国家科学基金会;

关键词：

Model updating; Parameter selection; Uncertainty; Global sensitivity; DAMAGE IDENTIFICATION; UNCERTAINTY; INDEXES; QUANTIFICATION; DESIGN;

D O I：

10.1016/j.ymssp.2018.05.048

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The problem of selecting parameters for stochastic model updating is one that has been studied for decades, yet no method exists that guarantees the 'correct' choice. In this paper, a method is formulated based on global sensitivity analysis using a new evaluation function and a composite sensitivity index that discriminates explicitly between sets of parameters with correctly-modelled and erroneous statistics. The method is applied successfully to simulated data for a pin-jointed truss structure model in two studies, for the cases of independent and correlated parameters respectively. Finally, experimental validation of the method is carried out on a frame structure with uncertainty in the position of two masses. The statistics of mass positions are confirmed by the proposed method to be correctly modelled using a Kriging surrogate. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：483 / 496

页数：14

共 34 条

[1] Parameter selection and stochastic model updating using perturbation methods with parameter weighting matrix assignment [J].

Abu Husain, Nurulakmar ;

Khodaparast, Hamed Haddad ;

Ouyang, Huajiang .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 32 :135-152

[2] Parameter selection strategies in finite element model updating [J].

Ahmadian, H ;

Gladwell, GML ;

Ismail, F .

JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 1997, 119 (01) :37-45

[3]

[Anonymous], 2000, SENSITIVITY ANAL

[4] A new uncertainty importance measure [J].

Borgonovo, E. .

RELIABILITY ENGINEERING & SYSTEM SAFETY, 2007, 92 (06) :771-784

[5] Global Sensitivity-Based Model Updating for Heritage Structures [J].

Boscato, Giosue ;

Russo, Salvatore ;

Ceravolo, Rosario ;

Fragonara, Luca Zanotti .

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2015, 30 (08) :620-635

[6] SOME APPLICATIONS OF THE RANK REVEALING QR FACTORIZATION [J].

CHAN, TF ;

HANSEN, PC .

SIAM JOURNAL ON SCIENTIFIC AND STATISTICAL COMPUTING, 1992, 13 (03) :727-741

[7] STUDY OF SENSITIVITY OF COUPLED REACTION SYSTEMS TO UNCERTAINTIES IN RATE COEFFICIENTS .1. THEORY [J].

CUKIER, RI ;

FORTUIN, CM ;

SHULER, KE ;

PETSCHEK, AG ;

SCHAIBLY, JH .

JOURNAL OF CHEMICAL PHYSICS, 1973, 59 (08) :3873-3878

[8] Gaussian process emulators for the stochastic finite element method [J].

DiazDelaO, F. A. ;

Adhikari, S. .

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2011, 87 (06) :521-540

[9] A stochastic model updating method for parameter variability quantification based on response surface models and Monte Carlo simulation [J].

Fang, Sheng-En ;

Ren, Wei-Xin ;

Perera, Ricardo .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 33 :83-96

[10] Damage identification by response surface based model updating using D-optimal design [J].

Fang, Sheng-En ;

Perera, Ricardo .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (02) :717-733

← 1 2 3 4 →