Compressive sensing with an adaptive wavelet basis for structural system response and reliability analysis under missing data

被引:33
作者
Comerford, L. [1 ]
Jensen, H. A. [2 ]
Mayorga, F. [2 ]
Beer, M. [1 ,3 ,4 ,5 ]
Kougioumtzoglou, I. A. [6 ]
机构
[1] Leibniz Univ Hannover, Inst Risk & Reliabil, Hannover, Germany
[2] Santa Maria Univ, Dept Civil Engn, Valparaiso, Chile
[3] Univ Liverpool, Inst Risk & Uncertainty, Liverpool L69 3GH, Merseyside, England
[4] Tongji Univ, Sch Civil Engn, Shanghai, Peoples R China
[5] Tongji Univ, Shanghai Inst Disaster Prevent & Relief, Shanghai, Peoples R China
[6] Columbia Univ, Dept Civil Engn & Engn Mech, New York, NY 10027 USA
关键词
Compressive sensing; Harmonic wavelets; Power spectrum; Missing data; Advanced simulation techniques; Reliability analysis; SPECTRUM ESTIMATION SUBJECT; TIME-SERIES ANALYSIS; FAILURE PROBABILITIES; EVOLUTIONARY SPECTRA; STOCHASTIC-PROCESSES; FREQUENCY-ANALYSIS; SUBSET SIMULATION; IDENTIFICATION; REPRESENTATION; SIGNALS;
D O I
10.1016/j.compstruc.2016.11.012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The challenge of determining response and reliability statistics of large-scale structural systems under earthquake induced stochastic excitations is considered where the source load data records are incomplete. To this aim, a compressive sensing based framework in conjunction with an adaptive wavelet basis is presented for reconstructing the samples with missing data and estimating the underlying process EPS. In this regard, novel insights are provided whereas certain conceptual, numerical, and practical implementation aspects of the technique are presented in detail. A numerical example pertaining to the stochastic response and reliability analysis of an eight floor reinforced concrete building structural system demonstrates the effectiveness of the proposed methodology. (C) 2016 Published by Elsevier Ltd.
引用
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页码:26 / 40
页数:15
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