Recent advances on topology optimization of multiscale nonlinear structures
L Xia, P Breitkopf - Archives of Computational Methods in Engineering, 2017 - Springer
Research on topology optimization mainly deals with the design of monoscale structures,
which are usually made of homogeneous materials. Recent advances of multiscale …
which are usually made of homogeneous materials. Recent advances of multiscale …
Data-driven modeling and learning in science and engineering
In the past, data in which science and engineering is based, was scarce and frequently
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …
Application of Carbon Fiber‐Reinforced Ceramic Composites in Active Thermal Protection of Advanced Propulsion Systems: A Review
Thermal protection is one of the crucial issues for the advanced propulsion systems of
Reusable Launch Vehicles. New service requirements for materials, such as high strength …
Reusable Launch Vehicles. New service requirements for materials, such as high strength …
High-performance model reduction techniques in computational multiscale homogenization
A novel model-order reduction technique for the solution of the fine-scale equilibrium
problem appearing in computational homogenization is presented. The reduced set of …
problem appearing in computational homogenization is presented. The reduced set of …
Multiscale structural topology optimization with an approximate constitutive model for local material microstructure
L Xia, P Breitkopf - Computer Methods in Applied Mechanics and …, 2015 - Elsevier
This paper builds on our recent work (Xia and Breitkopf, 2014) on multiscale structural
topology optimization where at the microscopic scale, local materials are optimized …
topology optimization where at the microscopic scale, local materials are optimized …
[PDF][PDF] Model order reduction
This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
Model reduction methods
This chapter presents an overview of model order reduction–a new paradigm in the field of
simulation‐based engineering sciences, and one that can tackle the challenges and …
simulation‐based engineering sciences, and one that can tackle the challenges and …
A highly efficient multi-scale approach of locally refined nonlinear analysis for large composite structures
The behaviour of materials at the microscale is generally considered the main driver for the
macroscopic response. However, it is still a great challenge in terms of computational cost …
macroscopic response. However, it is still a great challenge in terms of computational cost …
Model order reduction and domain decomposition strategies for the solution of the dynamic elastic–plastic structural problem
A new strategy for the efficient solution of highly nonlinear structural problems is proposed,
based on the combined use of Domain Decomposition (DD) and snapshots version of the …
based on the combined use of Domain Decomposition (DD) and snapshots version of the …
A manifold learning approach for integrated computational materials engineering
E Lopez, D Gonzalez, JV Aguado… - … Methods in Engineering, 2018 - Springer
Image-based simulation is becoming an appealing technique to homogenize properties of
real microstructures of heterogeneous materials. However fast computation techniques are …
real microstructures of heterogeneous materials. However fast computation techniques are …