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Artificial Intelligence Techniques for Bridge Reliability Assessment - Digital Representation of Structure Response  and Safety - Deng, Linzhong
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Deng, Linzhong:
Artificial Intelligence Techniques for Bridge Reliability Assessment - Digital Representation of Structure Response and Safety - Taschenbuch

2009, ISBN: 9783639143881

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service., DE, [SC: 3.70], Neuware, gewerbliches Angebot, 188, [GW: 258g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Interntationaler Versand

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Artificial Intelligence Techniques for Bridge Reliability Assessment - Digital Representation of Structure Response  and Safety
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Artificial Intelligence Techniques for Bridge Reliability Assessment - Digital Representation of Structure Response and Safety - Taschenbuch

2009, ISBN: 9783639143881

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service., [SC: 0.00], Neuware, gewerbliches Angebot, [GW: 258g]

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Artificial Intelligence Techniques for Bridge Reliability Assessment - Digital Representation of Structure Response  and Safety
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Artificial Intelligence Techniques for Bridge Reliability Assessment - Digital Representation of Structure Response and Safety - Taschenbuch

2009, ISBN: 9783639143881

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service., [SC: 3.00], Neuware, gewerbliches Angebot, [GW: 258g]

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Artificial Intelligence Techniques for BridgeReliability Assessment - Linzhong Deng
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Linzhong Deng:
Artificial Intelligence Techniques for BridgeReliability Assessment - Taschenbuch

ISBN: 9783639143881

[ED: Taschenbuch], [PU: VDM Verlag], Neuware - Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x11 mm, [GW: 296g]

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Artificial Intelligence Techniques for Bridge Reliability Assessment - Linzhong Deng
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ISBN: 9783639143881

ID: 5be55114c257c4e1b0e36fce14c85934

Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Technik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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Details zum Buch
Artificial Intelligence Techniques for BridgeReliability Assessment

Bridge safety is receiving more attention when some bridges lost their function in recent years. Are the bridges in service today still safe as they approach their designed service life? Will a bridge built today be able to safely carry traffic loads for its intended 75-year service life? This book answers such questions by developing Artificial intelligence techniques for bridge reliability assessment. The techniques presented include new analysis models of highway bridges, a new Shredding Genetic algorithm (SGA) that is efficient to identify dominant failure, and a new solver to improve the efficiency of nonlinear analysis. These techniques can be used to analyze the reliability of a structure that could not be analyzed by traditional methods. Plenty of on-site and full-scale bridge experiments are introduced to form a solid benchmark for bridge nonlinear analysis. Computer simulations of these experiments demonstrate the efficiency and applicability of the proposed algorithms. This book should be helpful in bridge design and research for large and complex systems, and can be used in the safety evaluation of the bridges in service.

Detailangaben zum Buch - Artificial Intelligence Techniques for BridgeReliability Assessment


EAN (ISBN-13): 9783639143881
ISBN (ISBN-10): 3639143884
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2009
Herausgeber: VDM Verlag
188 Seiten
Gewicht: 0,296 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 01.05.2009 04:16:15
Buch zuletzt gefunden am 25.09.2017 20:35:13
ISBN/EAN: 9783639143881

ISBN - alternative Schreibweisen:
3-639-14388-4, 978-3-639-14388-1


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