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[HTML][HTML] Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process …
Additive manufacturing (AM) processes have proven to be a perfect match for topology
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …
optimization (TO), as they are able to realize sophisticated geometries in a unique layer-by …
A review on feature-map** methods for structural optimization
In this review we identify a new category of methods for implementing and solving structural
optimization problems that has emerged over the last 20 years, which we propose to call …
optimization problems that has emerged over the last 20 years, which we propose to call …
An efficient and easy-to-extend Matlab code of the Moving Morphable Component (MMC) method for three-dimensional topology optimization
Explicit topology optimization methods have received ever-increasing interest in recent
years. In particular, a 188-line Matlab code of the two-dimensional (2D) Moving Morphable …
years. In particular, a 188-line Matlab code of the two-dimensional (2D) Moving Morphable …
Problem-independent machine learning (PIML)-based topology optimization—A universal approach
Solving topology optimization problem is very computationally demanding especially when
high-resolution results are sought for. In the present work, a problem-independent machine …
high-resolution results are sought for. In the present work, a problem-independent machine …
TPMS-infill MMC-based topology optimization considering overlapped component property
Engineering designs involving multiple materials suffer either difficult interface modeling or
finding physically meaningful transition domains with a clear or even optimal structural …
finding physically meaningful transition domains with a clear or even optimal structural …
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 …
A Problem-Independent Machine Learning (PIML) enhanced substructure-based approach for large-scale structural analysis and topology optimization of linear …
Structural analysis for structures composed of highly heterogeneous materials which often
involves the solution of large-scale linear algebraic equations is very time-consuming even …
involves the solution of large-scale linear algebraic equations is very time-consuming even …
Hollow structural design in topology optimization via moving morphable component method
J Bai, W Zuo - Structural and Multidisciplinary Optimization, 2020 - Springer
Hollow structures are widely used in industry because of the high stiffness-to-mass ratio and
mature joining technology. However, in topology optimization (TO), the TO results are almost …
mature joining technology. However, in topology optimization (TO), the TO results are almost …
[PDF][PDF] Open-source codes of topology optimization: A summary for beginners to start their research
Topology optimization (TO), a numerical technique to find the optimal material layout with a
given design domain, has attracted interest from researchers in the field of structural …
given design domain, has attracted interest from researchers in the field of structural …
Multi-material topology optimization of coated structures using level set method
J Bai, W Zuo - Composite Structures, 2022 - Elsevier
The coated structures are widely applied in engineering, whose coating material covers the
surface to protect substrate structure or realize certain functionalities. Currently, the coated …
surface to protect substrate structure or realize certain functionalities. Currently, the coated …