| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Wang, Fengwen
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2021On the competition for ultimately stiff and strong architected materialscitations
- 2018Benchmarking state-of-the-art numerical simulation techniques for analyzing large photonic crystal membrane line defect cavities
- 2018Benchmarking state-of-the-art numerical simulation techniques for analyzing large photonic crystal membrane line defect cavities
- 2018Benchmarking state-of-the-art optical simulation methods for analyzing large nanophotonic structures
- 2018Benchmarking state-of-the-art optical simulation methods for analyzing large nanophotonic structures
- 2018Benchmarking five numerical simulation techniques for computing resonance wavelengths and quality factors in photonic crystal membrane line defect cavitiescitations
- 2018Which Computational Methods Are Good for Analyzing Large Photonic Crystal Membrane Cavities?
- 2018Which Computational Methods Are Good for Analyzing Large Photonic Crystal Membrane Cavities?
- 2018Investment casting and experimental testing of heat sinks designed by topology optimizationcitations
- 2018Benchmarking five numerical simulation techniques for computing resonance wavelengths and quality factors in photonic crystal membrane line defect cavitiescitations
- 2017Comparison of Five Computational Methods for Computing Q Factors in Photonic Crystal Membrane Cavities
- 2017Comparison of Five Computational Methods for Computing Q Factors in Photonic Crystal Membrane Cavities
- 2017Benchmarking five computational methods for analyzing large photonic crystal membrane cavitiescitations
- 2017Benchmarking five computational methods for analyzing large photonic crystal membrane cavitiescitations
- 2015Topology Optimized Architectures with Programmable Poisson's Ratio over Large Deformationscitations
- 2014Design of materials with prescribed nonlinear propertiescitations
- 2011Modelling of Active Semiconductor Photonic Crystal Waveguides and Robust Designs based on Topology Optimization
- 2011Modelling of Active Semiconductor Photonic Crystal Waveguides and Robust Designs based on Topology Optimization
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article
Design of materials with prescribed nonlinear properties
Abstract
We systematically design materials using topology optimization to achieve prescribed nonlinear properties under finite deformation. Instead of a formal homogenization procedure, a numerical experiment is proposed to evaluate the material performance in longitudinal and transverse tensile tests under finite deformation, i.e. stress-strain relations and Poisson's ratio. By minimizing errors between actual and prescribed properties, materials are tailored to achieve the target. Both two dimensional (2D) truss-based and continuum materials are designed with various prescribed nonlinear properties. The numerical examples illustrate optimized materials with rubber-like behavior and also optimized materials with extreme strain-independent Poisson's ratio for axial strain intervals of εi ∈ [0.00,0.30]. © 2014 Elsevier Ltd. All rights reserved.