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Biographie et livres de Majid Baniassadi

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Dr. Majid Baniassadi is an Associate Professor at the University of Tehran's School of Mechanical Engineering. In 2011, he received his PhD in Materials Mechanics from the University of Strasbourg in France. Multiscale analysis and micromechanics of heterogeneous materials, numerical methods in engineering, and electron microscopy image processing for microstructure identification are among his research interests. Dr. Baniassadi also works with the ICube laboratory in Strasbourg on Engineering
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Téléchargez le livre :  Characterization Techniques for Advanced Polymer Composite Materials
Characterization Techniques for Advanced Polymer Composite Materials

Majid Baniassadi , Mostafa Baghani , Yves Rémond , Vadim Silberschmidt


Elsevier

2025-12-02

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Characterization Techniques for Advanced Polymer Composite Materials outlines methods for assessing the properties of advanced polymer composite materials, discussing sample preparation, microscopy and scattering techniques, data analysis and...

225,76

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Télécharger le livre :  Applied Micromechanics of Complex Microstructures
Applied Micromechanics of Complex Microstructures explains the fundamental concepts of continuum modeling of various complicated microstructures, covering nanocomposites, multiphase composites, biomaterials, biological materials, and more. The authors outline the...

Editeur : Elsevier
Parution : 2023-03-02
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205,72

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Télécharger le livre :  Computational Modeling of Intelligent Soft Matter
Computational Modelling of Intelligent Soft Matter: Shape Memory Polymers and Hydrogels covers the multiphysics response of various smart polymer materials, such as temperature-sensitive shape memory polymers and temperature/ chemosensitive hydrogels. Several...

Editeur : Elsevier
Parution : 2023-02-15
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184,63

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Télécharger le livre :  Applied RVE Reconstruction and Homogenization of Heterogeneous Materials
Applied RVE Reconstruction and Homogenization of Heterogeneous Materials Statistical correlation functions are a well-known class of statistical descriptors that can be used to describe the morphology and the microstructure-properties relationship. A comprehensive...

Editeur : Wiley-ISTE
Parution : 2016-06-14
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163,47

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