Optimisation of Structures Excited by Wind under Consideration of Stochastic Actions and Various Limit States
Optimisation of Structures Excited by Wind under Consideration of Stochastic Actions and Various Limit States
批准号:
329120866
负责人:
Professor Dr. Tom Lahmer
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2019-12-31
中文摘要
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英文摘要
Civil structures are exposed to complex wind actions as a result of the effects in the atmospheric boundary layer. Slender structures such as bridges, towers and mastes may be prone to significant vibrations induced by the aerodynamic effects arising from the wind. Phenomena of practical relevance are vortex induced vibrations, buffeting and flutter.The aerodynamic behaviour of structures is influenced primarily by their geometry, which proposes mathematical shape optimisation strategies linked to computational fluid dynamics simulations as a means to improve their aerodynamic performance. The selection of relevant limit states and the stochastic description of effect and resistance parameters allow the reliability based assessment of the structural response as the target of the optimisation procedure.This project aims to develop a methodological framework for the robust optimisation of structural response under the effect of a stochastically described natural wind field in respect of various limit states. To this end, existing numerical simulation procedures based on the pseudo-threedimensional Vortex Particle Method with extensions for turbulent inflow conditions and fluid-structure coupling are extended to allow the computationally efficient analysis of the relevant effects. Specifically, the stochastic parameters of the wind field are to be reproduced, the structural response is to be analysed in respect of the limit states and the parallelised simulations are to be linked to the optimisation strategies.Additionally, existing models for a phenomena based analysis of the excitation mechanisms such as quasi-static aerodynamic force coefficients, force amplitudes of vortex shedding, Strouhal Number, Scanlan Derivatives and admittance functions are employed to increase the efficiency of the optimisation and to allow a de-coupling of the fluid and structural. The validation and interpretation of simulation and optimisation results will be supported by experiments in the wind tunnel and the use of visualisation tools in the new Digital Bauhaus Lab of Bauhaus University.In conclusion, the project will yield a validated method for the efficient and parallelised simulation of wind excitation of line-like structures exposed to natural wind in the context of a limit state based optimisation. This will also be relevant for similar problems in structural dynamics. Sample analyses will be used to showcase the ability of the method to improve aerodynamic performance in relation to various limit states.
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DOI:
10.1016/j.jweia.2022.104911
发表时间:
2021-03
期刊:
ArXiv
影响因子:
--
作者:
[I. Kavrakov;A. McRobie;G. Morgenthal]
通讯作者:
I. Kavrakov;A. McRobie;G. Morgenthal
DOI:
10.1016/j.jweia.2019.103971
发表时间:
2019-10
期刊:
Journal of Wind Engineering and Industrial Aerodynamics
影响因子:
4.8
作者:
[I. Kavrakov;T. Argentini;S. Omarini;D. Rocchi;G. Morgenthal]
通讯作者:
I. Kavrakov;T. Argentini;S. Omarini;D. Rocchi;G. Morgenthal
DOI:
10.1016/j.jfluidstructs.2022.103680
发表时间:
2021-09
期刊:
Journal of Fluids and Structures
影响因子:
3.6
作者:
[Samuel Tesfaye;I. Kavrakov;G. Morgenthal]
通讯作者:
Samuel Tesfaye;I. Kavrakov;G. Morgenthal
Prediction of aeroelastic response of bridge decks using artificial neural networks
使用人工神经网络预测桥面气动弹性响应
DOI:
10.1016/j.compstruc.2020.106198
发表时间:
2020
期刊:
Computers & Structures
影响因子:
4.7
作者:
[Kavrakov, Morgenthal, Lahmer]
通讯作者:
Lahmer
DOI:
10.1061/(asce)em.1943-7889.0001811
发表时间:
2020-09
期刊:
Journal of Engineering Mechanics-asce
影响因子:
--
作者:
[I. Kavrakov;A. Kareem;G. Morgenthal]
通讯作者:
I. Kavrakov;A. Kareem;G. Morgenthal
共 6 条
Dam Alteration Identification by Extended Full-Waveform Inversion and Multiphase XFEM
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批准号:395192382
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项目类别:Research Grants
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资助金额:$0.0万
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财政年份:2017
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负责人:Professor Dr. Tom Lahmer
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依托单位:
海外基金