Details
| Original language | English |
|---|---|
| Article number | 04019163 |
| Number of pages | 10 |
| Journal | Journal of Structural Engineering |
| Volume | 145 |
| Issue number | 12 |
| Early online date | 10 Oct 2019 |
| Publication status | Published - Dec 2019 |
Abstract
An important element of time-dependent reliability analysis of civil structures is choosing a proper model for the applied loads. Stochastic process theory has been widely used in existing studies to perform structural time-dependent reliability analysis. However, the use of many types of power spectral density functions leads to an inefficient calculation of structural reliability. This paper proposes an analytical method for structural reliability assessment, where a new power spectral density function is developed to enable the reliability analysis to be conducted with a simple and efficient formula. A non-Gaussian load process, if present, is first converted into an equivalent Gaussian process to improve the assessment accuracy. Illustrative examples are presented to demonstrate the applicability of the proposed method. Results show that a greater autocorrelation in the load process leads to a smaller failure probability. The structural reliability may be significantly overestimated if one simply treats the non-Gaussian load process as a Gaussian one. Moreover, the impact of modeling the load process as a continuous process or a discrete one on structural reliability is also investigated.
Keywords
- Load autocorrelation, Outcrossing rate, Stochastic process, Time-dependent reliability
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Engineering(all)
- Building and Construction
- Materials Science(all)
- General Materials Science
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Mechanical Engineering
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In: Journal of Structural Engineering, Vol. 145, No. 12, 04019163, 12.2019.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Structural Time-Dependent Reliability Assessment with New Power Spectral Density Function
AU - Wang, Cao
AU - Zhang, Hao
AU - Beer, Michael
N1 - Funding information: The research described in this paper was supported by the Faculty of Engineering and IT Ph.D. Research Scholarship (SC1911) from the University of Sydney. This support is gratefully acknowledged. The authors would like to acknowledge the thoughtful suggestions of two anonymous reviewers, which substantially improved the present paper.
PY - 2019/12
Y1 - 2019/12
N2 - An important element of time-dependent reliability analysis of civil structures is choosing a proper model for the applied loads. Stochastic process theory has been widely used in existing studies to perform structural time-dependent reliability analysis. However, the use of many types of power spectral density functions leads to an inefficient calculation of structural reliability. This paper proposes an analytical method for structural reliability assessment, where a new power spectral density function is developed to enable the reliability analysis to be conducted with a simple and efficient formula. A non-Gaussian load process, if present, is first converted into an equivalent Gaussian process to improve the assessment accuracy. Illustrative examples are presented to demonstrate the applicability of the proposed method. Results show that a greater autocorrelation in the load process leads to a smaller failure probability. The structural reliability may be significantly overestimated if one simply treats the non-Gaussian load process as a Gaussian one. Moreover, the impact of modeling the load process as a continuous process or a discrete one on structural reliability is also investigated.
AB - An important element of time-dependent reliability analysis of civil structures is choosing a proper model for the applied loads. Stochastic process theory has been widely used in existing studies to perform structural time-dependent reliability analysis. However, the use of many types of power spectral density functions leads to an inefficient calculation of structural reliability. This paper proposes an analytical method for structural reliability assessment, where a new power spectral density function is developed to enable the reliability analysis to be conducted with a simple and efficient formula. A non-Gaussian load process, if present, is first converted into an equivalent Gaussian process to improve the assessment accuracy. Illustrative examples are presented to demonstrate the applicability of the proposed method. Results show that a greater autocorrelation in the load process leads to a smaller failure probability. The structural reliability may be significantly overestimated if one simply treats the non-Gaussian load process as a Gaussian one. Moreover, the impact of modeling the load process as a continuous process or a discrete one on structural reliability is also investigated.
KW - Load autocorrelation
KW - Outcrossing rate
KW - Stochastic process
KW - Time-dependent reliability
UR - http://www.scopus.com/inward/record.url?scp=85073453523&partnerID=8YFLogxK
U2 - 10.1061/(ASCE)ST.1943-541X.0002476
DO - 10.1061/(ASCE)ST.1943-541X.0002476
M3 - Article
AN - SCOPUS:85073453523
VL - 145
JO - Journal of Structural Engineering
JF - Journal of Structural Engineering
SN - 0733-9445
IS - 12
M1 - 04019163
ER -