NDLI: Structural optimization with approximate sensitivities

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Structural optimization with approximate sensitivities

Content Provider	NASA Technical Reports Server (NTRS)
Author	Coroneos, R. Patnaik, S. N. Hopkins, D. A.
Copyright Year	1994
Description	Computational efficiency in structural optimization can be enhanced if the intensive computations associated with the calculation of the sensitivities, that is, gradients of the behavior constraints, are reduced. Approximation to gradients of the behavior constraints that can be generated with small amount of numerical calculations is proposed. Structural optimization with these approximate sensitivities produced correct optimum solution. Approximate gradients performed well for different nonlinear programming methods, such as the sequence of unconstrained minimization technique, method of feasible directions, sequence of quadratic programming, and sequence of linear programming. Structural optimization with approximate gradients can reduce by one third the CPU time that would otherwise be required to solve the problem with explicit closed-form gradients. The proposed gradient approximation shows potential to reduce intensive computation that has been associated with traditional structural optimization.
File Size	919574
Page Count	16
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19950011286
Archival Resource Key	ark:/13960/t5t77b799
Language	English
Publisher Date	1994-04-01
Access Restriction	Open
Subject Keyword	Structural Mechanics Approximation Constraints Algorithms Sequential Control Linear Programming Mathematical Models Gradients Central Processing Units Nonlinear Programming Structural Engineering Quadratic Programming Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Technical Report

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