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    <title>Auteurs : Arne Van de Velde</title>
    <link>https://popups.uliege.be/esaform21/index.php?id=4810</link>
    <description>Publications of Auteurs Arne Van de Velde</description>
    <language>fr</language>
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      <title>Independent Validation of Generic Specimen Design for Inverse Identification of Plastic Anisotropy </title>
      <link>https://popups.uliege.be/esaform21/index.php?id=2622</link>
      <description>Advanced inverse material identification procedures rely on the richness of strain fields generated in a complex specimen. Currently, the design of a complex specimen is mainly based on engineering judgement and experience that are often user-specific. This intuitive approach forms the crux of the problem, addressed in the current research. To this end, the paper embarks on devising a generic and automated method to design mechanical heterogeneous experiments. A notched tensile specimen is optimized to maximize a previously proposed heterogeneity indicator-IT. The effectiveness of this procedure for identifying the anisotropic parameters of the Hill48 yield criterion is validated using two independent methodologies, namely the identifiability method and the Finite Element Model Updating (FEMU) approach to assess the parameter identification quality. The latter approach is based on carefully generated synthetic experiments including the metrological aspects of Digital Image Correlation (DIC) while having access to the ground truth material behavior. For the plane stress Hill48 anisotropic yield criterion, it is shown that the IT-based design procedure correlates with both the identifiability method and the identification accuracy obtained through FEMU.  </description>
      <pubDate>Wed, 24 Mar 2021 18:33:07 +0100</pubDate>
      <lastBuildDate>Sat, 10 Apr 2021 13:21:42 +0200</lastBuildDate>
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      <title>Numerical prediction of the stress state in CFRP induced by installing a blind rivet nut </title>
      <link>https://popups.uliege.be/esaform21/index.php?id=2611</link>
      <description>The present paper offers a FE modeling strategy to predict the stress state in carbon fiber reinforced plastic (CFRP) plate material after installing a Blind Rivet Nut (BRN). In industry, a BRN is a permanent mechanical fastener used to equip plate material with a threaded part. Analogue to the installing process of the more common blind rivet, the BRN deforms plastically in such a way a counter head is formed on the underside of the plate. Simultaneously, the upper side of the deformation chamber expands in the radial direction creating an interference fit. The interference fit together with the counter head units the nut to the plate. However, the high contact forces between the BRN and the plate often cause damage in the CFRP material compromising the integrity of the joint. The latter observation implies that while setting a BRN in CFRP, the detrimental contact forces must be controlled to guarantee a qualitative joint. The necessary understanding of the stress distribution in the plate material is numerically investigated in two steps. In the first step, a computational efficient axisymmetric model is used to reveal the contract pressure between the BRN and the plate during the setting process. In the second step, the contact pressures are transferred to a 3D model of the plate. In this stage, the orthotropic properties of the composite are assigned to the plate material and an adequate failure criterion is adopted. The result is compared to a full 3D model using the Tsai – Wu failure criterion.  </description>
      <pubDate>Wed, 24 Mar 2021 18:30:23 +0100</pubDate>
      <lastBuildDate>Sat, 10 Apr 2021 13:16:47 +0200</lastBuildDate>
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