Adjoint-based optimization of displacement ventilation flow

Towards Adjoint Based Constrained Optimization

COMPARISON OF RELIABILITY BASED AND DISPLACEMENT BASED OPTIMIZATION OF TUNED MASS DAMPERS REGARDING UNCERTAINTY

Some structural control systems have been devised to protect structures against earthquakes, which the tuned mass damper (TMD) being one of the earliest. The effect of a tuned mass damper depends on its properties, such as mass, damping coefficient, and stiffness. The parameters of tuned mass dampers need to be tuned based on the main system and applied load. In most of the papers, the paramete...

Adjoint-based Methodology for Time-Dependent Optimization

This paper presents a discrete adjoint method for a broad class of time-dependent optimization problems. The time-dependent adjoint equations are derived in terms of the discrete residual of an arbitrary finite volume scheme which approximates unsteady conservation law equations. Although only the 2-D unsteady Euler equations are considered in the present analysis, this time-dependent adjoint m...

Adjoint formulation and constraint handling for gradient-based optimization of compositional reservoir flow

An adjoint formulation for the gradient-based optimization of oil–gas compositional reservoir simulation problems is presented. The method is implemented within an automatic differentiation-based compositional flow simulator (Stanford’s Automatic Differentiation-based General Purpose Research Simulator, AD-GPRS). The development of adjoint procedures for general compositional problems is much m...

Adjoint-Based Optimization for Rigid Body Motion in Multiphase Navier-Stokes Flow

We consider the numerical simulation of rigid body motion in multiphase incompressible Navier-Stokes flow. The motion is formulated as an optimization problem and determined by minimizing an objective function in terms of forces and moments acting on the body, constrained by the multiphase Navier-Stokes equations. The corresponding adjoint system and boundary conditions are derived and derivati...