Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 536
Book Description
Much of what engineers and scientists do is to model natural phenomena. They develop mathematical models of nature so as to study and predict the behavior of physical systems. The remarkable advances in technology over the last half century attest to the success of this approach. Mathematical models do indeed work. Their use represents a proven approach toward scientific discovery and engineering analyses and design, and one can safely predict that the confidence in results of mathematical modeling will grow as further proof and experience accumulates as to their utility and their reliability. Indeed, it is this latter quality, reliability, that emerges as the key to further progress in computational mechanics. There has been growing concern about the issue of reliability in computational modeling in recent years. The papers presented at the Workshop fell into four broad categories: (1) Mathematical modeling; (2) A priori analysis, including principles of convergence, robustness and their reliability; (3) A posteriori analysis, including adaptive methods; and (4) Computer aspects of modeling such as mesh generation, solid modeling and their reliability. In addition, papers on parallel computing, applications to practical problems, selection of benchmark problems for code verification, and related issues were discussed. The majority of the paper focused on finite element methods and their applications, but a number of papers also dealt with boundary element methods, finite difference methods, and spectral methods as well.
Proceedings of Workshop on Reliability in Computational Mechanics Held in Austin, Texas on October 26-28, 1989
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 536
Book Description
Much of what engineers and scientists do is to model natural phenomena. They develop mathematical models of nature so as to study and predict the behavior of physical systems. The remarkable advances in technology over the last half century attest to the success of this approach. Mathematical models do indeed work. Their use represents a proven approach toward scientific discovery and engineering analyses and design, and one can safely predict that the confidence in results of mathematical modeling will grow as further proof and experience accumulates as to their utility and their reliability. Indeed, it is this latter quality, reliability, that emerges as the key to further progress in computational mechanics. There has been growing concern about the issue of reliability in computational modeling in recent years. The papers presented at the Workshop fell into four broad categories: (1) Mathematical modeling; (2) A priori analysis, including principles of convergence, robustness and their reliability; (3) A posteriori analysis, including adaptive methods; and (4) Computer aspects of modeling such as mesh generation, solid modeling and their reliability. In addition, papers on parallel computing, applications to practical problems, selection of benchmark problems for code verification, and related issues were discussed. The majority of the paper focused on finite element methods and their applications, but a number of papers also dealt with boundary element methods, finite difference methods, and spectral methods as well.
Publisher:
ISBN:
Category :
Languages : en
Pages : 536
Book Description
Much of what engineers and scientists do is to model natural phenomena. They develop mathematical models of nature so as to study and predict the behavior of physical systems. The remarkable advances in technology over the last half century attest to the success of this approach. Mathematical models do indeed work. Their use represents a proven approach toward scientific discovery and engineering analyses and design, and one can safely predict that the confidence in results of mathematical modeling will grow as further proof and experience accumulates as to their utility and their reliability. Indeed, it is this latter quality, reliability, that emerges as the key to further progress in computational mechanics. There has been growing concern about the issue of reliability in computational modeling in recent years. The papers presented at the Workshop fell into four broad categories: (1) Mathematical modeling; (2) A priori analysis, including principles of convergence, robustness and their reliability; (3) A posteriori analysis, including adaptive methods; and (4) Computer aspects of modeling such as mesh generation, solid modeling and their reliability. In addition, papers on parallel computing, applications to practical problems, selection of benchmark problems for code verification, and related issues were discussed. The majority of the paper focused on finite element methods and their applications, but a number of papers also dealt with boundary element methods, finite difference methods, and spectral methods as well.
Reliability in Computational Mechanics
Author: John Tinsley Oden
Publisher: North Holland
ISBN:
Category : Computers
Languages : en
Pages : 410
Book Description
Much of what engineers and scientists do is modeling natural phenomena, by developing mathematical models of nature they can study and predict the behaviour of physical systems. The remarkable advances in technology over the last half century attest to the success of this approach. However, there has been growing concern about the issue of reliability in computational modeling in recent years. The success of computational modeling in certain classes of linear problems may have lulled many into a false sense of confidence in computed results. The papers in this volume discuss topics such as: Exactly how reliable are contemporary computational modeling procedures? How can this reliability be assessed? What factors affect it? How can reliability be improved? What direction must future research in computational modeling take to increase reliability of the more sophisticated models needed to simulate phenomena of importance in engineering? The work covers the application of existing methods to issues of reliability as well as studies of new methods that touch upon or depend upon the reliability of computational techniques in mechanics.
Publisher: North Holland
ISBN:
Category : Computers
Languages : en
Pages : 410
Book Description
Much of what engineers and scientists do is modeling natural phenomena, by developing mathematical models of nature they can study and predict the behaviour of physical systems. The remarkable advances in technology over the last half century attest to the success of this approach. However, there has been growing concern about the issue of reliability in computational modeling in recent years. The success of computational modeling in certain classes of linear problems may have lulled many into a false sense of confidence in computed results. The papers in this volume discuss topics such as: Exactly how reliable are contemporary computational modeling procedures? How can this reliability be assessed? What factors affect it? How can reliability be improved? What direction must future research in computational modeling take to increase reliability of the more sophisticated models needed to simulate phenomena of importance in engineering? The work covers the application of existing methods to issues of reliability as well as studies of new methods that touch upon or depend upon the reliability of computational techniques in mechanics.
Scientific and Technical Aerospace Reports
Government reports annual index
Reliability in Computational Mechanics
Author: L. Demkowicz
Publisher:
ISBN:
Category : Computer-aided engineering
Languages : en
Pages : 491
Book Description
Publisher:
ISBN:
Category : Computer-aided engineering
Languages : en
Pages : 491
Book Description
American Book Publishing Record
International Books in Print, 1995
Author: Barbara Hopkinson
Publisher: K. G. Saur
ISBN: 9783598221316
Category : Reference
Languages : en
Pages : 1340
Book Description
Publisher: K. G. Saur
ISBN: 9783598221316
Category : Reference
Languages : en
Pages : 1340
Book Description