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Machine learning based topology optimization of fiber orientation for variable stiffness composite structures
This study proposes a machine learning (ML) based approach for optimizing fiber
orientations of variable stiffness carbon fiber reinforced plastic (CFRP) structures, where …
orientations of variable stiffness carbon fiber reinforced plastic (CFRP) structures, where …
Determining diffusion coefficients of coal particles by solving the inverse problem based on the data of methane desorption measurements
The diffusion coefficient is the key parameter been used to evaluate the methane diffusion
behavior. Generally, the diffusion coefficient is determined by analytical solutions, including …
behavior. Generally, the diffusion coefficient is determined by analytical solutions, including …
Three-dimensional conductive heat transfer topology optimisation in a cubic domain for the volume-to-surface problem
In this paper, three-dimensional topology optimisation was investigated with regard to heat
conduction for the volume-to-point or volume-to-surface problem in a cubic three …
conduction for the volume-to-point or volume-to-surface problem in a cubic three …
Structural topological optimization with dynamic fatigue constraints subject to dynamic random loads
L Zhao, B Xu, Y Han, J Xue, J Rong - Engineering Structures, 2020 - Elsevier
More attention has been attracted to engineering structural design on fatigue failure, while
few works are devoted to topology optimizations considering dynamic fatigue failure under …
few works are devoted to topology optimizations considering dynamic fatigue failure under …
Topological optimization design of structures under random excitations using SQP method
JH Rong, ZL Tang, YM **e, FY Li - Engineering Structures, 2013 - Elsevier
More and more stringent structural performance requirements are imposed in advanced
engineering application, only a limited number of works have been devoted to the topology …
engineering application, only a limited number of works have been devoted to the topology …
Continuum structural topological optimization with dynamic stress response constraints
L Zhao, B Xu, Y Han, J Rong - Advances in Engineering Software, 2020 - Elsevier
This paper proposes a methodology for the topology optimization of continuum structures
subject to dynamic stress response constraints under stochastic loads. The topology …
subject to dynamic stress response constraints under stochastic loads. The topology …
An efficient second-order SQP method for structural topology optimization
S Rojas-Labanda, M Stolpe - Structural and Multidisciplinary Optimization, 2016 - Springer
This article presents a Sequential Quadratic Programming (SQP) solver for structural
topology optimization problems named TopSQP. The implementation is based on the …
topology optimization problems named TopSQP. The implementation is based on the …
[HTML][HTML] Enhanced sequential approximate programming using second order reliability method for accurate and efficient structural reliability-based design optimization
Second-order reliability method (SORM) can provide sufficient accuracy for evaluating the
probabilistic constraints in reliability-based design optimization (RBDO). However, the …
probabilistic constraints in reliability-based design optimization (RBDO). However, the …
An algorithm for the topology optimization of geometrically nonlinear structures
FAM Gomes, TA Senne - International Journal for numerical …, 2014 - Wiley Online Library
Most papers on topology optimization consider that there is a linear relation between the
strains and displacements of the structure, implicitly assuming that the displacements of the …
strains and displacements of the structure, implicitly assuming that the displacements of the …
On using a gradient-based method for heliostat field layout optimization
SL Lutchman, AA Groenwold, P Gauché, S Bode - Energy Procedia, 2014 - Elsevier
The most widely used methods for heliostat field optimization assume a particular pattern
and then optimize the parameters that define the pattern to obtain a specified objective such …
and then optimize the parameters that define the pattern to obtain a specified objective such …