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 methods use gradient-based optimization algorithms and rely on accurate estimates of the statistical moments and thei...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Structural and multidisciplinary optimization Ročník 62; číslo 5; s. 2255 - 2278
Hlavní autoři:	De, Subhayan, Hampton, Jerrad, Maute, Kurt, Doostan, Alireza
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020 Springer Nature B.V
Témata:	Algorithms Approximation Asymptotes Asymptotic methods Computational Mathematics and Numerical Analysis Design optimization Engineering Engineering Design Investigations Isotropic material Iterative methods Machine learning Mathematical analysis Nonlinear programming Optimization algorithms Research Paper Structural design Theoretical and Applied Mechanics Topology optimization Uncertainty Adam Optimization under Uncertainty Stochastic Gradient Robust Design AdaGrad Topology Optimization
ISSN:	1615-147X, 1615-1488
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!