Evolutionary computation and structural design: A survey of the state-of-the-art
R Kicinger, T Arciszewski, K De Jong - Computers & structures, 2005 - Elsevier
Evolutionary computation is emerging as a new engineering computational paradigm, which
may significantly change the present structural design practice. For this reason, an extensive …
may significantly change the present structural design practice. For this reason, an extensive …
Recent advances in engineering design optimisation: Challenges and future trends
Traditional engineering design optimisation which is the process of identifying the right
combination of product parameters is often done manually, time consuming and involves a …
combination of product parameters is often done manually, time consuming and involves a …
[HTML][HTML] Deep learning for topology optimization of 2D metamaterials
Data-driven models are rising as an auspicious method for the geometrical design of
materials and structural systems. Nevertheless, existing data-driven models customarily …
materials and structural systems. Nevertheless, existing data-driven models customarily …
Optimal topology for additive manufacture: A method for enabling additive manufacture of support-free optimal structures
Topology optimisation enables profound insight into the optimal material distribution for a
given structural objective, applied loading and boundary conditions. The topologically …
given structural objective, applied loading and boundary conditions. The topologically …
[책][B] Topology optimization: theory, methods, and applications
MP Bendsoe, O Sigmund - 2013 - books.google.com
" The art of structure is where to put the holes" Robert Le Ricolais, 1894-1977 This is a
completely revised, updated and expanded version of the book titled" Optimization of …
completely revised, updated and expanded version of the book titled" Optimization of …
Automatic design and manufacture of soft robots
J Hiller, H Lipson - IEEE Transactions on Robotics, 2011 - ieeexplore.ieee.org
We present the automated design and manufacture of static and locomotion objects in which
functionality is obtained purely by the unconstrained 3-D distribution of materials. Recent …
functionality is obtained purely by the unconstrained 3-D distribution of materials. Recent …
Accelerated search and design of stretchable graphene kirigami using machine learning
Making kirigami-inspired cuts into a sheet has been shown to be an effective way of
designing stretchable materials with metamorphic properties where the 2D shape can …
designing stretchable materials with metamorphic properties where the 2D shape can …
Isogeometric shape optimization of missing rib auxetics with prescribed negative Poisson's ratio over large strains using genetic algorithm
This paper presents an isogeometric shape optimization framework using genetic algorithm
to design 2D auxetic structures with prescribed Poisson's ratio over large tensile or …
to design 2D auxetic structures with prescribed Poisson's ratio over large tensile or …
Accelerating gradient-based topology optimization design with dual-model artificial neural networks
Topology optimization (TO) is a common technique used in free-form designs. However,
conventional TO-based design approaches suffer from high computational cost due to the …
conventional TO-based design approaches suffer from high computational cost due to the …
Structural topology design optimization using genetic algorithms with a bit-array representation
SY Wang, K Tai - Computer methods in applied mechanics and …, 2005 - Elsevier
In this paper, a bit-array representation method for structural topology optimization using the
Genetic Algorithm (GA) is implemented. The importance of structural connectivity in a design …
Genetic Algorithm (GA) is implemented. The importance of structural connectivity in a design …