Computationally efficient stochastic approach for the fragility analysis of vertical structures subjected to thunderstorm downburst winds
•Wavelet-Galerkin approach is used for the analysis of downburst wind load effects.•Wind-sensitive low-frequency vertical structures are considered.•Features of structural response peaks from downburst-induced wind loads are studied.•Models for structural fragility curves and surfaces are derived.•R...
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Published in | Engineering structures Vol. 165; pp. 152 - 169 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
15.06.2018
Elsevier BV |
Subjects | |
Online Access | Get full text |
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Summary: | •Wavelet-Galerkin approach is used for the analysis of downburst wind load effects.•Wind-sensitive low-frequency vertical structures are considered.•Features of structural response peaks from downburst-induced wind loads are studied.•Models for structural fragility curves and surfaces are derived.•Relevance of fragility analysis for structures subject to downburst winds is examined.
Thunderstorm downburst winds introduce considerable uncertainty in dynamical structural analysis because of wind load non-stationarity, which cannot be adequately modelled by conventional stationary wind simulations. Performance-based structural analysis in wind engineering practice, which considers uncertainty related to both error propagation and modeling simplifications, requires sampling the structural information from a large number of dynamic simulations. This task may be computationally intensive using traditional numerical integration techniques. This study examines the feasibility and advantages of utilizing a wavelet-Galerkin (WG) approach to numerically integrate the coupled stochastic dynamic equations of motion for tall building structures affected by thunderstorm wind loads. The study examines the stochastic maximum structural response at key locations. Fragility analysis is subsequently conducted using curves modelled with log-normal complementary cumulative distribution functions and surfaces modelled using logistic regression. Both a “point-like” (plate) structure and a benchmark tall building are used for verification of the proposed simulation approach. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0141-0296 1873-7323 |
DOI: | 10.1016/j.engstruct.2018.03.007 |