N. Alexandrov and M. Y. Hussaini, editors. Multidisciplinary Design Optimization: State-of-the-Art. SIAM, 1997. Home/Search Document Not in Database Summary Related Articles Check |
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Analysis of the Hessian for Aeroelastic Optimization - Arian (1995) (Correct)
....NAS1 19480 while the author was in residence at the Institute for Computer Applications in Science and Engineering (ICASE) Mail Stop 132C, NASA Langley Research Center, Hampton, VA 23681. 1 Introduction Lately, there is a growing interest in Multidisciplinary Design and Optimization (MDO) 1] [4]. An important problem in that field is the aeroelastic optimal design problem (for example, 5] 7] In this problem there are two coupled disciplines: aerodynamics and structural analysis. The problem is to compute the aerodynamic shape and structural rigidity such that some given cost function ....
N. Alexandrov and M.Y.Hussaini. Multidisciplinary Design Optimization State-of-theArt, SIAM Proceedings in Applied Mathematics 80, Workshop held in Hampton, Virginia, March (1995).
A Coupled-Adjoint Method for High-Fidelity Aero-Structural.. - Martins (2002) (1 citation) (Correct)
....Since the inception of MDO, research in this field has yielded many di#erent techniques for inter disciplinary coupling in both analysis and optimization as well as applications of these techniques to real world design problems. Surveys by Sobieski and Haftka [65] and Alexandrov and Hussaini [3] present excellent descriptions of the various existing strategies for MDO. A number of ideas for solving complex MDO problems have been developed. These ideas include multilevel optimization strategies [4, 35] collaborative optimization [12, 37, 17] individual discipline feasible methods [16] ....
N. Alexandrov and M. Y. Hussaini, editors. Multidisciplinary Design Optimization: State-of-the-Art. SIAM, 1997.
On the Coupling of Aerodynamic and Structural Design - Eyal Arian Institute (1995) (Correct)
....part in the Hessian is well conditioned while the aerodynamic part is ill conditioned. Applications of the result to optimization strategies are discussed and demonstrated numerically. 1 Introduction Lately, there is a growing interest in Multidisciplinary Design and Optimization (MDO) 1] [4]. An important problem in that field is the static aeroelastic optimal design problem (for example, 5] 7] In this problem there are two coupled disciplines: aerodynamics and structural analysis. The problem is to compute the aerodynamic shape and structural rigidity such that some given cost ....
N. Alexandrov and M.Y.Hussaini. Multidisciplinary Design Optimization State-of-theArt, SIAM Proceedings in Applied Mathematics 80, Workshop held in Hampton, Virginia, March (1995).
Domain Decomposition Methods For Sensitivity Analysis Of A.. - Ghattas, Li (1998) (1 citation) (Correct)
.... For an introduction to sensitivity analysis, both discrete and continuous, the reader is referred to [18, Chapters 7 8] A set of references spanning the field of multidisciplinary design optimization can be found in the series of proceedings [1] 2] 3] as well as the recent collection [4]. In particular, a comprehensive summary of advances in sensitivity analysis of nonlinear solid mechanics problems can be found in [6] For an overview of sensitivity and optimization of incompressible Navier Stokes flows, we recommend [13] 2. Governing equations of the stationary problem. ....
N. M. Alexandrov and M. Hussaini, eds., Multidisciplinary Design Optimization: State-ofthe -Art, SIAM, 1997.
Convergence Estimates for Multidisciplinary Analysis and.. - Arian (1997) (Correct)
....words. convergence, MDO, sequential, Gauss Seidel, adjoint, Hessian Subject classification. Applied Numerical Mathematics 1. Introduction. In the last three years there have been a growing interest in the engineering community in the numerical solution of multidisciplinary (MD) problems [1] [3]. A MD problem is defined in this work to be a problem which involves the solution of a set of equations which can be divided into at least two sets (disciplines) Three di#erent MD problems are considered: the Multidisciplinary Analysis problem (MDA) the Multidisciplinary Sensitivity ....
....of all the disciplines, the system optimization iteration convergence can be analyzed with classical methods developed for single discipline optimization. For such an approach this work is relevant only to the development of algorithms to solve the MDA and MDS problems. References [1] [3] summarize most of the work done so far in MDO. R.J. Balling and J. Sobieski [4] propose several multi level algorithms for the solution of MDO problems in which the design process is decomposed into the disciplinary levels. # Institute for Computer Applications in Science and Engineering, Mail ....
N. Alexandrov and M.Y.Hussaini, Multidisciplinary Design Optimization - State of the Art, Proceeding of the ICASE/NASA Langley Workshop on Multidisciplinary Design Optimization, SIAM (1997).
Opportunities for Breakthroughs in Large-Scale.. - Alexandrov.. (2002) Self-citation (Alexandrov) (Correct)
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Alexandrov, N. M.; and Hussaini, M. Y., eds.: Multidisciplinary Design Optimization: State of the Art . SIAM, 1997.
Opportunities for Breakthroughs in Large-Scale.. - Alexandrov.. (2002) Self-citation (Alexandrov) (Correct)
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Alexandrov, N. M.; and Hussaini, M. Y., eds.: Multidisciplinary Design Optimization: State of the Art . SIAM, 1997.
National Aeronautics and - Space Administration Langley (1999) Self-citation (Alexandrov) (Correct)
....optimization of complex, coupled engineering systems, where multidisciplinary refers to the di#erent aspects that must be included in a design problem. For instance, the design of aircraft involves, among other disciplines, aerodynamics, structural analysis, propulsion, and control. See [16] and [2] for overviews of the field. Broadly speaking, in engineering design problems one attempts to improve or optimize several objectives, frequently competing and conflicting measures of system performance, subject to satisfying a set of design and physical constraints. It is the nature of some of ....
N. M. Alexandrov and M. Y. Hussaini, eds., Multidisciplinary Design Optimization: State of the Art, Philadelphia, 1997, Society for Industrial and Applied Mathematics.
First-Order Frameworks for Managing Models in Engineering.. - Alexandrov, Lewis (2000) Self-citation (Alexandrov) (Correct)
....at computational odds with the objectives of a designer. Given a set of design or control variables x, the analyst wishes to solve, as accurately as possible, a disciplinary analysis equation (or a system of coupled disciplinary analysis equations, in the case of multidisciplinary optimization [4, 38]) A(x; u(x) 0 (1) for state variables u that describe the physical behavior of the system. System (1) is frequently an expensive simulation, say, involving the solution of a set of differential equations, as in the case of computing the flow around an airplane. The designer, on the other hand, ....
N. M. Alexandrov and M. Y. Hussaini, eds., Multidisciplinary Design Optimization: State of the Art, Philadelphia, 1997, Society for Industrial and Applied Mathematics.
A Class of General Trust-Region Multilevel Algorithms for .. - Alexandrov, Dennis, Jr. (1999) (2 citations) Self-citation (Alexandrov) (Correct)
....that give rise to large scale optimization formulations with naturally occurring, tightly or fully coupled block subproblems, such as problems that arise in the engineering multidisciplinary design optimization (MDO) environment. Overviews of MDO may be found in, e.g. Alexandrov and Hussaini [5] and Sobieszczanski Sobieski and Haftka [30] One of the main requirements for any prospective optimization algorithm intended for solving engineering design Multidisciplinary Optimization Branch, NASA Langley Research Center, Mail Stop 159, Hampton, Virginia 23681 2199 ....
N. Alexandrov and M. Y. Hussaini, eds., Multidisciplinary Design Optimization: State of the Art, Philadelphia, 1997, Society for Industrial and Applied Mathematics.
Comparative Properties Of Collaborative Optimization And.. - Alexandrov, Lewis (1999) (5 citations) Self-citation (Alexandrov) (Correct)
....systems, where multidisciplinary refers to the different aspects that must be included in a design problem. For instance, the design of aircraft involves, among other disciplines, aerodynamics, structural analysis, propulsion, and control. See Sobieszczanski Sobieski and Haftka (1997) Alexandrov and Hussaini (1997) for overviews of the field. Broadly speaking, in engineering design problems one attempts to improve or optimize several objectives frequently competing and conflicting measures of system performance subject to satisfying a set of design and physical constraints. It is the nature of some of ....
Alexandrov, N. M. and Hussaini, M. Y., Eds. (1997), Multidisciplinary Design Optimization: State of the Art, SIAM, Philadelphia.
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N. Alexandrov and M. Y. Hussaini, editors. Multidisciplinary Design Optimization: State-of-the-Art. SIAM, 1997.
AIAA 2001--1107 Simultaneous Aerodynamic Analysis and.. - Clyde Gumbert Nasa (Correct)
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Alexandrov, N. M., and Hussaini, M. Y., Eds., Multidisciplinary Design Optimization: State of the Art, SIAM Proceedings Series, SIAM, Philadelphia, 1997.
Simultaneous Aerodynamic Analysis And Design Optimization.. - Gumbert, al. (1999) (Correct)
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Alexandrov, N. M., and Hussaini, M. Y., Eds., Multidisciplinary Design Optimization: State of the Art, SIAM Proceedings Series, SIAM, Philadelphia, 1997.
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Alexandrov and M. Y. Hussaini, editors, Multidisciplinary Design Optimization: State-ofthe -Art, SIAM, Philadelphia, 1996.
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