Numerical Ward-Type Tornado Simulator and its Application to Transient Wind-Induced Response of Long-Span Bridges
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Bibliographic Details
| Author(s): |
Yu Feng
(Chang’an University, Xi’an, Shaanxi, China)
Jianming Hao (Chang’an University, Xi’an, Shaanxi, China) Teng Wu (University at Buffalo, Buffalo, USA) |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Published in: | IABSE Congress Nanjing 2022 | ||||
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| Page(s): | 283-290 | ||||
| Total no. of pages: | 8 | ||||
| DOI: | 10.2749/nanjing.2022.0283 | ||||
| Abstract: |
In this study, the tornado-like wind field is simulated by the numerical Ward-type tornado simulator based on computational fluid dynamics (CFD) techniques. To minimize the discrepancy between the simulated and field-measured tornado winds, the optimization strategy is developed to achieve optimal parameters of the numerical Ward-type tornado simulator, namely the inflow angle and translation speed. To facilitate the optimization process, a multi-fidelity surrogate model is utilized to effectively integrate both low-fidelity and high-fidelity data for accurate and efficient simulations. The “best” parameters based on the multi-fidelity surrogate model is input to the numerical Ward- type tornado simulator (using LES technique). Finally, the transient wind field generated using the validated numerical Ward-type tornado simulator is employed as the dynamic inputs to the finite element (FE) model of a long-span bridge. |
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| Keywords: |
optimization Computational Fluid Dynamics long-span bridges surrogate model tornado-like wind transient wind-induced response multi-fidelity data
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |
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