[HTML][HTML] Topology optimization of additive-manufactured metamaterial structures: A review focused on multi-material types
Topology optimization is one common technique for structural optimization methods, in
which the optimal spatial distribution of structural materials or structural parts could be …
which the optimal spatial distribution of structural materials or structural parts could be …
Introducing loading uncertainty in topology optimization
THE world is full of uncertainties and structures need to be designed and optimized to be
robust and reliable when operating in an uncertain environment. The traditional engineering …
robust and reliable when operating in an uncertain environment. The traditional engineering …
Robust topology optimization: minimization of expected and variance of compliance
Robust topology optimization has long been considered computationally intractable as it
combines two highly expensive computational strategies. This paper considers …
combines two highly expensive computational strategies. This paper considers …
Robust topology optimization under loading uncertainty based on linear elastic theory and orthogonal diagonalization of symmetric matrices
J Zhao, C Wang - Computer Methods in Applied Mechanics and …, 2014 - Elsevier
This paper proposes an efficient approach to solving robust topology optimization problem
of structures under loading uncertainty. The objective is to minimize a weighted sum of the …
of structures under loading uncertainty. The objective is to minimize a weighted sum of the …
[HTML][HTML] Robust topology optimization for multi-material structures under interval uncertainty
In this paper, we propose an efficient method to design robust multi-material structures
under interval loading uncertainty. The objective of this study is to minimize the structural …
under interval loading uncertainty. The objective of this study is to minimize the structural …
[HTML][HTML] Robust topology optimization of structures under uncertain propagation of imprecise stochastic-based uncertain field
This study introduces a novel computational framework for Robust Topology Optimization
(RTO) considering imprecise random field parameters. Unlike the worst-case approach, the …
(RTO) considering imprecise random field parameters. Unlike the worst-case approach, the …
Robust topology optimization of multi-material lattice structures under material and load uncertainties
Enabled by advancements in multi-material additive manufacturing, lightweight lattice
structures consisting of networks of periodic unit cells have gained popularity due to their …
structures consisting of networks of periodic unit cells have gained popularity due to their …
Topology optimization under uncertainty using a stochastic gradient-based approach
Topology optimization under uncertainty (TOuU) often defines objectives and constraints by
statistical moments of geometric and physical quantities of interest. Most traditional TOuU …
statistical moments of geometric and physical quantities of interest. Most traditional TOuU …
Shape optimization under uncertainty—a stochastic programming perspective
We present an algorithm for shape optimization under stochastic loading and representative
numerical results. Our strategy builds upon a combination of techniques from two-stage …
numerical results. Our strategy builds upon a combination of techniques from two-stage …
Robust structural topology optimization under random field loading uncertainty
J Zhao, C Wang - Structural and Multidisciplinary Optimization, 2014 - Springer
A new approach to solving the robust topology optimization problem considering random
field loading uncertainty was developed. The Karhunen-Loeve expansion was employed to …
field loading uncertainty was developed. The Karhunen-Loeve expansion was employed to …