Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2009.Includes bibliographical references (leaves 175-180).Optimization methods have shown to be efficient at improving structural design, but their use is limited in the engineering practice by the difficulty of adapting state-of-the-art algorithms to particular engineering problems. This study proposes the use of a robust gradient-based algorithm, whose adaptation to a variety of design problems is more straightforward. The algorithm was first applied to truss geometry and beam shape optimization, both forming part of the increasingly popular class of structural form-finding problems. The results showed that the gradient-based method is an a...
This work is driven by recent developments in mathematical programming, the state-of-the-art of stru...
Gradient-based optimization is a potent tool in many design processes today. It is particularly usef...
The built environment is responsible for a large share of global greenhouse gas emissions. About 25 ...
This article presents a computationally efficient methodology for stress-based topology optimization...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
The paper describes the gradient-iterative optimization method, outlines the method’s basic assumpti...
A modern technique in structural optimization known as genetic algorithm was implemented in this pap...
Structural optimization methods can be extremely powerful when used at the initial, conceptual, desi...
Presented a Paper 81-0897 at the AIAA 1981 Annual Meeting and Technical Display, Long Beach, Calif.,...
This book offers an introduction to numerical optimization methods in structural design. Employing a...
Massachusetts Institute of Technology. Dept. of Civil Engineering. Thesis. 1970. Ph.D.MICROFICHE COP...
The article describes the gradient-iterative optimization method and outlines the method’s basic ass...
In today’s extremely developing and competitive world exploiting from a limited amount of available ...
Structural optimization is an important area related to both optimization and structural engineering...
The objective of this research is to develop a flexible design grammar and genetic algorithm repres...
This work is driven by recent developments in mathematical programming, the state-of-the-art of stru...
Gradient-based optimization is a potent tool in many design processes today. It is particularly usef...
The built environment is responsible for a large share of global greenhouse gas emissions. About 25 ...
This article presents a computationally efficient methodology for stress-based topology optimization...
In this paper, a practical optimization framework and enhanced strategy within an industrial setting...
The paper describes the gradient-iterative optimization method, outlines the method’s basic assumpti...
A modern technique in structural optimization known as genetic algorithm was implemented in this pap...
Structural optimization methods can be extremely powerful when used at the initial, conceptual, desi...
Presented a Paper 81-0897 at the AIAA 1981 Annual Meeting and Technical Display, Long Beach, Calif.,...
This book offers an introduction to numerical optimization methods in structural design. Employing a...
Massachusetts Institute of Technology. Dept. of Civil Engineering. Thesis. 1970. Ph.D.MICROFICHE COP...
The article describes the gradient-iterative optimization method and outlines the method’s basic ass...
In today’s extremely developing and competitive world exploiting from a limited amount of available ...
Structural optimization is an important area related to both optimization and structural engineering...
The objective of this research is to develop a flexible design grammar and genetic algorithm repres...
This work is driven by recent developments in mathematical programming, the state-of-the-art of stru...
Gradient-based optimization is a potent tool in many design processes today. It is particularly usef...
The built environment is responsible for a large share of global greenhouse gas emissions. About 25 ...