Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 26-40 |
| Seitenumfang | 15 |
| Fachzeitschrift | Computers & structures |
| Jahrgang | 182 |
| Frühes Online-Datum | 16 Dez. 2016 |
| Publikationsstatus | Veröffentlicht - 1 Apr. 2017 |
Abstract
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.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Mathematik (insg.)
- Modellierung und Simulation
- Werkstoffwissenschaften (insg.)
- Ingenieurwesen (insg.)
- Maschinenbau
- Informatik (insg.)
- Angewandte Informatik
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in: Computers & structures, Jahrgang 182, 01.04.2017, S. 26-40.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Compressive sensing with an adaptive wavelet basis for structural system response and reliability analysis under missing data
AU - Comerford, L.
AU - Jensen, H.A.
AU - Mayorga, F.
AU - Beer, M.
AU - Kougioumtzoglou, I. A.
N1 - Funding information: The research reported here was supported in part by CONICYT under Grant No. 1150009 which is gratefully acknowledged by the authors.
PY - 2017/4/1
Y1 - 2017/4/1
N2 - 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.
AB - 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.
KW - Advanced simulation techniques
KW - Compressive sensing
KW - Harmonic wavelets
KW - Missing data
KW - Power spectrum
KW - Reliability analysis
UR - http://www.scopus.com/inward/record.url?scp=85006314791&partnerID=8YFLogxK
U2 - 10.1016/j.compstruc.2016.11.012
DO - 10.1016/j.compstruc.2016.11.012
M3 - Article
AN - SCOPUS:85006314791
VL - 182
SP - 26
EP - 40
JO - Computers & structures
JF - Computers & structures
SN - 0045-7949
ER -