A virtual lab for Ni/PU hybrid foams: stochastic micromechanical identification and efficient numerical simulations
A virtual lab for Ni/PU hybrid foams: stochastic micromechanical identification and efficient numerical simulations
批准号:
338131106
负责人:
Professorin Dr.-Ing. Anne Jung
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 2020-12-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The main goal of the project is a virtual lab for open-cell metal foams that can predict macroscopic mechanical responses and their variations, based on the mesoscopic and microscopic distributions of the geometrical and mechanical parameters. A discrete mesostructural model will act as the virtual lab. It will account for variations of the strut connectivity, variations of the strut dimensions and variations of the strut material parameters. The model developments and the experimental identification of the stochastic geometrical and material parameters will be performed for a recently developed Ni/PU hybrid foams, which are substantially cheaper than alternative open-cell hybrid metal foams.The innovations in the project largely focus on experimental techniques and stochastic parameter identification. The main innovations can clearly be distinguished in four sub-aims. First, an experimental procedure to measure forces as functions of local strain fields for individual struts, as well as for several pores. Second, a 3D beam model to represent the discrete mesostructure of metal foams will be developed. The beam model will serve as the virtual lab and will account for variations by employing a Monte Carlo based approach, in which numerous realisations of the stochastic parameters are made. Single struts will be represented by series of 1D beams. The 1D beam formulation will be geometrically nonlinear and able to predict the elastoplastic response of single struts. The full 3D beam model will furthermore be able to predict failure of individual struts and deal with strut-to-strut contact (beam-to-beam contact). Furthermore, an inverse modelling procedure using Bayesian Inference will be used to identify the distributions of the material parameters of single struts, when they are modelled by a series of beams. Bayesian Inference ensures a consistent approach to treat the material parameters as stochastic, and not deterministic, variables. Finally, the 3D beam model (i.e. the virtual lab) will be validated based on experimental results at the mesoscale (several pores). The strut connectivity and strut dimensions of the samples must be known in detail for this. Therefore, both factors must be expliciteöy determined.A successful project will result in a full 3D beam model able to account for stochastic effects in the foams structure to improve the prediction of the macroscopic foams behaviour by numerical simulations.
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Scaling and Transfer Effects in Reactive Materials
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批准号:426337931
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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:2019
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负责人:Professorin Dr.-Ing. Anne Jung
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依托单位:
国内基金
海外基金
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