[ED: Softcover], [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 saf… Mehr…
[ED: Softcover], [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.
2009. 188 S.
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
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Artificial Intelligence Techniques for Bridge Reliability Assessment - neues Buch
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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? … Mehr…
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, Hörbücher & Kalender / Bücher / Sachbuch / Herstellung & Technik / Elektro- & Kommunikationstechnik, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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ISBN: 9783639143881
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? … Mehr…
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. New Textbooks>Trade Paperback>Science>Engineering>Engr Ref, VDM Verlag Core >1 >T<
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Artificial Intelligence Techniques for Bridge Reliability Assessment - Taschenbuch
2009, ISBN: 9783639143881
[ED: Softcover], [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 saf… Mehr…
[ED: Softcover], [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.
2009. 188 S.
Versandfertig in 6-10 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<
Versandkosten:Versandkostenfrei, Versand nach Deutschland. (EUR 0.00) buecher.de GmbH & Co. KG
Artificial Intelligence Techniques for Bridge Reliability Assessment - neues Buch
ISBN: 9783639143881
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? … Mehr…
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, Hörbücher & Kalender / Bücher / Sachbuch / Herstellung & Technik / Elektro- & Kommunikationstechnik, [PU: VDM Verlag Dr. Müller, Saarbrücken]<
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Artificial Intelligence Techniques For Bridge Reliability Assessment Linzhong Deng Author - neues Buch
ISBN: 9783639143881
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? … Mehr…
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. New Textbooks>Trade Paperback>Science>Engineering>Engr Ref, VDM Verlag Core >1 >T<
*Artificial Intelligence Techniques for Bridge Reliability Assessment* - Digital Representation of Structure Response and Safety / Taschenbuch für 67.99 € / Aus dem Bereich: Bücher, Wisse… Mehr…
*Artificial Intelligence Techniques for Bridge Reliability Assessment* - Digital Representation of Structure Response and Safety / Taschenbuch für 67.99 € / Aus dem Bereich: Bücher, Wissenschaft, Technik Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Technik, VDM Verlag Dr. Müller<
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Artificial Intelligence Techniques for Bridge Reliability Assessment ab 67.99 € als Taschenbuch: Digital Representation of Structure Response and Safety. Aus dem Bereich: Bücher, Wissenschaft, Technik, Medien > Bücher nein Buch (kartoniert) Hardcover;Naturwissenschaften, Medizin, Informatik, Technik;Technik, VDM Verlag Dr. Müller<
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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 Bridge Reliability Assessment
EAN (ISBN-13): 9783639143881 ISBN (ISBN-10): 3639143884 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2009 Herausgeber: VDM Verlag Dr. Müller 188 Seiten Gewicht: 0,296 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2009-05-01T04:16:15+02:00 (Berlin) Detailseite zuletzt geändert am 2024-01-15T18:25:09+01:00 (Berlin) ISBN/EAN: 9783639143881
ISBN - alternative Schreibweisen: 3-639-14388-4, 978-3-639-14388-1 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: deng Titel des Buches: bridge, artificial intelligence
