24 citations · 48 across the 9 of their papers we have counts for
5 papers · 1 filter
Topology Optimization under Microscale Uncertainty using Stochastic Gradients
Subhayan De, Kurt Maute, Alireza Doostan
This paper considers the design of structures made of engineered materials, accounting for uncertainty in material properties. We present a topology optimization approach that opti…
Rapid Aerodynamic Shape Optimization Under Parametric and Turbulence Model Uncertainty: A Stochastic Gradient Approach
Lluís Jofre, Alireza Doostan
Aerodynamic optimization is ubiquitous in the design of most engineering systems interacting with fluids. A common approach is to optimize a performance function defined by a choic…
Reliability-based Topology Optimization using Stochastic Gradients
Subhayan De, Kurt Maute, Alireza Doostan
This paper addresses the computational challenges in reliability-based topology optimization (RBTO) of structures associated with the estimation of statistics of the objective and…
Bi-fidelity Stochastic Gradient Descent for Structural Optimization under Uncertainty
Subhayan De, Kurt Maute, Alireza Doostan
The presence of uncertainty in material properties and geometry of a structure is ubiquitous. The design of robust engineering structures, therefore, needs to incorporate uncertain…
Stochastic Subspace Descent
David Kozak, Stephen Becker, Alireza Doostan +1
We present two stochastic descent algorithms that apply to unconstrained optimization and are particularly efficient when the objective function is slow to evaluate and gradients a…