MOST EFFICIENT NLP TECHNIQUES IN OPTIMUM STRUCTURAL FRAME DESIGN

This paper identifies the two most efficient non-linear programming techniques for the solution of optimization problems of plane structural frames under multiple load systems. The problem is one of minimizing the mass or the frame subject to constraints on normal and shear stresses, the maximum tra...

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Veröffentlicht in:	Engineering optimization Jg. 20; H. 4; S. 261 - 272
1. Verfasser:	KARIHALOO, B. L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Taylor & Francis Group 01.02.1993 Gordon and Breach
Schlagworte:	augmented Lagrangian multiplier method deflection and buckling constraints Exact sciences and technology Fundamental areas of phenomenology (including applications) minimum mass design nonlinear programming Physics Plane structural frame sequential convex programming sequential linear programming sequential quadratic programming sequential unconstrained minimization Solid mechanics Static elasticity (thermoelasticity...) stress Structural and continuum mechanics Lagrange multiplier Truss structure Sequential method Non linear programming Convex analysis Optimization Mathematical programming
ISSN:	0305-215X, 1029-0273
Online-Zugang:	Volltext
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