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20182022
most citedMulti-fidelity uncertainty quantification of irradiated particle-laden turbulence

24 citations · 48 across the 9 of their papers we have counts for

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5 papers · 1 filter

math.OC20211 cited

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…

math.OC2021

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…

math.OC2021

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…

math.OC20193 cited

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…

math.OC20198 cited

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…