Structural and Multidisciplinary Optimization
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Stochastic optimization of acoustic response – a numerical and experimental comparison
Structural and Multidisciplinary Optimization - Tập 23 - Trang 405-411 - 2002
The objective of the work presented is to compare results from numerical
optimization with experimental data and to highlight and discuss the differences
between two fundamentally different optimization methods. The problem domain is
minimization of acoustic emission and the structure used in the work is a closed
cylinder with forced vibration of one end. The optimization method used in this
paper...
Exact optimal structural layouts for non-self-adjoint problems
Structural and Multidisciplinary Optimization - Tập 5 - Trang 204-206 - 1993
Using optimality criteria for trusses with displacement constraints, a truss
layout is optimized for a point load and a given displacement in different
directions, with a view to demonstrating some unexpected features of
non-self-adjoint problems.
An alternative interpolation scheme for minimum compliance topology optimization
Structural and Multidisciplinary Optimization - Tập 22 - Trang 116-124 - 2014
We consider the discretized zero-one continuum topology optimization problem of
finding the optimal distribution of two linearly elastic materials such that
compliance is minimized. The geometric complexity of the design is limited using
a constraint on the perimeter of the design. A common approach to solve these
problems is to relax the zero-one constraints and model the material properties
by a...
Two alternative ways for solving the coordination problem in multilevel optimization
Structural and Multidisciplinary Optimization - - 1993
First-order sequential convex programming using approximate diagonal QP subproblems
Structural and Multidisciplinary Optimization - Tập 45 - Trang 479-488 - 2011
Optimization algorithms based on convex separable approximations for optimal
structural design often use reciprocal-like approximations in a dual setting;
CONLIN and the method of moving asymptotes (MMA) are well-known examples of such
sequential convex programming (SCP) algorithms. We have previously demonstrated
that replacement of these nonlinear (reciprocal) approximations by their own
second ...
A deep reinforcement learning optimization framework for supercritical airfoil aerodynamic shape design
Structural and Multidisciplinary Optimization - - 2024
In the context of traditional aerodynamic shape optimization design methods, the
necessity to re-execute the complete optimization process when the initial shape
changes poses significant challenges in engineering applications. These
challenges encompass problems like data wastage and restricted ability for
experience learning. We propose a policy learning-based optimization method that
can automa...
Selective dimension reduction method (DRM) to enhance accuracy and efficiency of most probable point (MPP)–based DRM
Structural and Multidisciplinary Optimization - Tập 61 Số 3 - Trang 999-1010 - 2020
Multiparameter structural optimization using FEM and multipoint explicit approximations
Structural and Multidisciplinary Optimization - Tập 6 - Trang 7-14 - 1993
A unified approach to various problems of structural optimization, based on
approximation concepts, is presented. The approach is concerned with the
development of the iterative technique, which uses in each iteration the
information gained at several previous design points (multipoint approximations)
in order to better fit constraints and/or objective functions and to reduce the
total number of F...
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