In this paper an approach to robust topology optimization for truss structures with material and loading uncertainties, and discrete design variables, is investigated. Uncertainties on the loading, and spatially correlated material stiffness, are included in the problem formulation, taking truss element length into account. A more realistic random field representation of the material uncertainties is achieved, compared to classical scalar random variable approaches. A multiobjective approach is used to generate Pareto optimal solutions showing how the mean and standard deviation of the compliance can be considered as separate objectives, avoiding the need for an arbitrary combination factor.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
In this paper, we develop a stochastic model for topology optimization. We find robust structures th...
Performance and cost efficiency are important demands in the design of civil structures such as brid...
A topology optimization framework is proposed for robust design of skeletal structures with stochast...
This article deals with the reliability based geometry and topology optimization of truss structures...
Purpose: This paper aims to tackle the challenge topic of continuum structural layout in the presenc...
A new method is proposed for reliability-based topology optimization of truss structures with random...
In this article, a unified framework is introduced for robust structural topology optimization for 2...
AbstractA topology optimization method is proposed for the design of trusses with random geometric i...
A new nonprobabilistic reliability-based topology optimization method for continuum structures with ...
Uncertainty is an important consideration in structural design and optimization to produce robust an...
© 2017, Springer-Verlag London Ltd. Uncertainty is omnipresent in engineering design and manufacturi...
This paper deals with the consideration of loading uncertainties in topology optimization via a fund...
Robust topology optimization has long been considered computationally intractable as it combines two...
The goal of this thesis is the development of theoretical methods targeting the implementation of to...
In this paper we focus on the adaptation to topology optimization of a previous variance-expected co...
In this paper, we develop a stochastic model for topology optimization. We find robust structures th...
Performance and cost efficiency are important demands in the design of civil structures such as brid...
A topology optimization framework is proposed for robust design of skeletal structures with stochast...
This article deals with the reliability based geometry and topology optimization of truss structures...
Purpose: This paper aims to tackle the challenge topic of continuum structural layout in the presenc...
A new method is proposed for reliability-based topology optimization of truss structures with random...
In this article, a unified framework is introduced for robust structural topology optimization for 2...
AbstractA topology optimization method is proposed for the design of trusses with random geometric i...
A new nonprobabilistic reliability-based topology optimization method for continuum structures with ...
Uncertainty is an important consideration in structural design and optimization to produce robust an...
© 2017, Springer-Verlag London Ltd. Uncertainty is omnipresent in engineering design and manufacturi...
This paper deals with the consideration of loading uncertainties in topology optimization via a fund...
Robust topology optimization has long been considered computationally intractable as it combines two...
The goal of this thesis is the development of theoretical methods targeting the implementation of to...
In this paper we focus on the adaptation to topology optimization of a previous variance-expected co...
In this paper, we develop a stochastic model for topology optimization. We find robust structures th...
Performance and cost efficiency are important demands in the design of civil structures such as brid...
A topology optimization framework is proposed for robust design of skeletal structures with stochast...