Computer-Aided Design

In isogeometric analysis (IGA), domain parameterization plays a crucial role as it significantly impacts the results of subsequent numerical analyses. Previous literature has often treated domain parameterization as two separate processes: ...

• A domain parameterization method is proposed based on deep learning.
• Our method simultaneously parameterize the boundary and interior of a domain.
• Our approach produces results with lower distortion and higher bijectivity ratio.

Built upon a previous algebraic framework for polyhedron-based 3D Graphic Statics (3DGS) that can numerically solve for a variety of dual diagrams given an input force or form diagram, this paper introduces an improved algebraic formulation that ...

• The improved algebraic formulation enables precise control of edge lengths and vertex locations
• A wide range of funicular solutions with tension and compression members for the same force diagram.
• A free plug-in software with ...

This paper proposes a multicomponent topology optimization method that considers assemblability. Generally, it is difficult to consider assemblability in topology optimization; however, in this study, we achieve it by introducing a fictitious ...

• Topology optimization for multicomponent structures.
• A fictitious physical model for considering assemblability.
• Numerical examples for two- and three-dimensional mean compliance minimization problems.

Geometry understanding is a core concept of computer-aided design and engineering (CAD/CAE). Deep neural networks have increasingly shown success as a method of processing complex inputs to achieve abstract tasks. This work revisits a generic and ...

• Modifications to point-based methods are presented to take advantage of b-rep data.
• PointNet++ is used as a case study for modification to better process CAD models.
• A simple solution to the undersampling of geometric features is ...

• A machine learning-driven optimization design method is proposed for the rapid design of hydrogel-based NHE metamaterials.
• The method can effectively design 2D/3D isotropic and anisotropic metamaterials with specific actuation effects.

Hydrogel-based negative hydration expansion (NHE) metamaterials are composite structures composed of responsive hydrogels and polymers, and their properties depend on their unique structures. In this paper, an optimization method based on the ...

Microstructure reconstruction is an important and emerging aspect of computational materials engineering and multiscale modeling and simulation. Despite extensive research and fast progress in the field, the application of descriptor-based ...

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• Analytical expressions for Minkowski functionals and spatial correlations.
• Reconstruction from descriptors by efficient gradient-based optimization.
• Numerical experiments and discussion of limitations.

• A tucked-interleaved crease pattern was design based on crystallography concepts.
• Gradient design of kirigami panels was proposed for non-uniform stiffness.
• Physical prototype was fabricated to evaluate developed self-locking ...

Sandwich panels with excellent mechanical properties are widely used in the aerospace, architecture, and automobile industries. Kirigami-inspired structural designs are receiving increasing attention owing to the shape-induced functions and novel ...

Free-form structures are highly valued for their aesthetic appeal in architecture, but they typically comprise panels of many different shapes, which can pose great challenges for building construction. In this study, we aim to address this issue ...

• This study reduces the number of different faces in free-form surface approximations.
• The proposed method is based on an iterative clustering-and-optimization strategy.
• The proposed method can be applied to geometries composed of ...