Bi-directional evolutionary structural optimization on advanced structures and materials: a comprehensive review
The evolutionary structural optimization (ESO) method developed by **e and Steven
(Comput Struct 49 (5): 885–896, 162), an important branch of topology optimization, has …
(Comput Struct 49 (5): 885–896, 162), an important branch of topology optimization, has …
Recent advances on topology optimization of multiscale nonlinear structures
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 …
Digital twin: Values, challenges and enablers from a modeling perspective
Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
data and simulators for real-time prediction, optimization, monitoring, controlling, and …
Topology optimization in aircraft and aerospace structures design
Topology optimization has become an effective tool for least-weight and performance
design, especially in aeronautics and aerospace engineering. The purpose of this paper is …
design, especially in aeronautics and aerospace engineering. The purpose of this paper is …
Functionally graded lattice structure topology optimization for the design of additive manufactured components with stress constraints
Advances in additive manufacturing (AM) have drawn considerable interest due to its ability
to produce geometrically complex structure, such as lattice materials. In this work, a novel …
to produce geometrically complex structure, such as lattice materials. In this work, a novel …
Accelerating multiscale finite element simulations of history-dependent materials using a recurrent neural network
FE 2 multiscale simulations of history-dependent materials are accelerated by means of a
recurrent neural network (RNN) surrogate for the history-dependent micro level response …
recurrent neural network (RNN) surrogate for the history-dependent micro level response …
Design of materials using topology optimization and energy-based homogenization approach in Matlab
This paper presents a Matlab code for the optimal topology design of materials with extreme
properties. For code compactness, an energy-based homogenization approach is adopted …
properties. For code compactness, an energy-based homogenization approach is adopted …
Concurrent topology optimization design of material and structure within FE2 nonlinear multiscale analysis framework
This paper revisits concurrent design of material and structure within FE 2 nonlinear
multiscale analysis framework. For structural stiffness maximization at macroscopic scale …
multiscale analysis framework. For structural stiffness maximization at macroscopic scale …
Digital twin: Values, challenges and enablers
A digital twin can be defined as an adaptive model of a complex physical system. Recent
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
advances in computational pipelines, multiphysics solvers, artificial intelligence, big data …
Structural design optimization using isogeometric analysis: a comprehensive review
Isogeometric analysis (IGA), an approach that integrates CAE into conventional CAD design
tools, has been used in structural optimization for 10 years, with plenty of excellent research …
tools, has been used in structural optimization for 10 years, with plenty of excellent research …