Residential College | false |
Status | 已發表Published |
Quantification of Statistical Error in the Estimate of Strain Power Spectral Density Transmissibility for Operational Strain Modal Analysis | |
SUN QIAN1; YAN WANGJI2,3; REN WEIXIN4; CAO LINBO5; WU HAIYI2,3 | |
2023-08 | |
Source Publication | STRUCTURAL CONTROL AND HEALTH MONITORING |
ISSN | 1545-2255 |
Volume | 2023Pages:6661720 |
Abstract | The use of strain modes in structural health monitoring has been constantly increasing because of their superior sensitivity to local structural anomalies. This study aims to investigate the applicability and robustness of power spectral density transmissibility (PSDT) in operational strain modal analysis (OSMA). By noting that OSMA in the frequency domain is vulnerable to the error of spectral estimates, uncertainty quantification stemming from strain spectral estimates and the error propagation analysis in OSMA are conducted from an analytical perspective. The main contributions include the following: (i) the mean and variance of strain PSDT estimates are asymptotically derived based on statistical moment theory and the statistics of PSD estimate error, (ii) the coefficients of variation (c.o.v.) of the strain PSDT estimate and strain spectral estimates are compared with each other through asymptotic analysis to elaborate the robustness of strain PSDT, and (iii) the variability of the strain mode shape is quantified based on the asymptotic formula of strain PSDT estimates tending to local minima of asymptotic zero variance at the resonances. The accuracy and efficiency of the quantification and propagation analysis are validated through numerical and experimental test data accompanied by various parametric studies. |
Keyword | Parameter-identification Uncertainty Frequency Bridge |
Indexed By | SCIE |
WOS Research Area | Construction & Building Technology ; Engineering ; Instruments & Instrumentation |
WOS Subject | Construction & Building Technology ; Engineering, Civil ; Instruments & Instrumentation |
WOS ID | WOS:001061913400001 |
Publisher | JOHN WILEY & SONS LTD, THE ATRIUM, SOUTHERN GATE, CHICHESTER PO19 8SQ, W SUSSEX, ENGLAND |
Scopus ID | 2-s2.0-85173055249 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING |
Corresponding Author | YAN WANGJI |
Affiliation | 1.School of Urban Construction and Transportation, Hefei University, Hefei 230601, China 2.State Key Laboratory of Internet of Things for Smart City and Depart of Civil and Environmental Engineering, University of Macau 3.Guangdong–Hong Kong–Macau Joint Laboratory for Smart Cities, University of Macau, Macau 999078, China 4.College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China 5.China Fortune Foundation Co., Ltd., Beijing 100027, China |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | SUN QIAN,YAN WANGJI,REN WEIXIN,et al. Quantification of Statistical Error in the Estimate of Strain Power Spectral Density Transmissibility for Operational Strain Modal Analysis[J]. STRUCTURAL CONTROL AND HEALTH MONITORING, 2023, 2023, 6661720. |
APA | SUN QIAN., YAN WANGJI., REN WEIXIN., CAO LINBO., & WU HAIYI (2023). Quantification of Statistical Error in the Estimate of Strain Power Spectral Density Transmissibility for Operational Strain Modal Analysis. STRUCTURAL CONTROL AND HEALTH MONITORING, 2023, 6661720. |
MLA | SUN QIAN,et al."Quantification of Statistical Error in the Estimate of Strain Power Spectral Density Transmissibility for Operational Strain Modal Analysis".STRUCTURAL CONTROL AND HEALTH MONITORING 2023(2023):6661720. |
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