9781032408095 - Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures di Hong, Won-Kee (16 risultati)

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New. pages cm.

Condizione: New. pages cm 1st edition Includes bibliographical references and index.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: Brand New. 552 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condizione: new. Paperback. This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete structures, which are challenging to achieve using conventional design methods.Using ANN-based design charts, the holistic design of a post-tensioned beam is performed to optimize design targets (objective functions), while calculating 21 forward outputs, in arbitrary sequences, from 21 forward inputs.Applies the powerful tools of ANN to the optimization of prestressed concrete structures and composite structures including columns and beamsMulti-objective optimizations (MOO) of prestressed concrete beams are performed using an ANN-based Lagrange algorithmOffers a Pareto frontier using an ANN-based MOO for composite beams and composite columns sustaining multi-biaxial loadsHeavily illustrated in color and with diverse practical design examples in line with EC2, ACI, and ASTM codesThe book offers optimal solutions for structural designers and researchers, enabling readers to construct design charts to minimize their own design targets under various design requirements based on any design code. This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. ANN-based design charts show how to use the Lagrange multiplier method. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. PRINT ON DEMAND pages cm.

Paperback. Condizione: new. Paperback. This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete structures, which are challenging to achieve using conventional design methods.Using ANN-based design charts, the holistic design of a post-tensioned beam is performed to optimize design targets (objective functions), while calculating 21 forward outputs, in arbitrary sequences, from 21 forward inputs.Applies the powerful tools of ANN to the optimization of prestressed concrete structures and composite structures including columns and beamsMulti-objective optimizations (MOO) of prestressed concrete beams are performed using an ANN-based Lagrange algorithmOffers a Pareto frontier using an ANN-based MOO for composite beams and composite columns sustaining multi-biaxial loadsHeavily illustrated in color and with diverse practical design examples in line with EC2, ACI, and ASTM codesThe book offers optimal solutions for structural designers and researchers, enabling readers to construct design charts to minimize their own design targets under various design requirements based on any design code. This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. ANN-based design charts show how to use the Lagrange multiplier method. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. This book introduces artificial neural network (ANN)-based Lagrange optimization techniques for a structural design of prestressed concrete structures based on Eurocode 2, and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. The book provides robust design charts for prestressed concrete structures, which are challenging to achieve using conventional design methods.Using ANN-based design charts, the holistic design of a post-tensioned beam is performed to optimize design targets (objective functions), while calculating 21 forward outputs, in arbitrary sequences, from 21 forward inputs.Applies the powerful tools of ANN to the optimization of prestressed concrete structures and composite structures including columns and beamsMulti-objective optimizations (MOO) of prestressed concrete beams are performed using an ANN-based Lagrange algorithmOffers a Pareto frontier using an ANN-based MOO for composite beams and composite columns sustaining multi-biaxial loadsHeavily illustrated in color and with diverse practical design examples in line with EC2, ACI, and ASTM codesThe book offers optimal solutions for structural designers and researchers, enabling readers to construct design charts to minimize their own design targets under various design requirements based on any design code. This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. ANN-based design charts show how to use the Lagrange multiplier method. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Won-Kee Hong is a Professor of Architectural Engineering at Kyung Hee University, South Korea. He has more than 35 years of professional experience in structural and construction engineering, having worked for Englekirk and Hart, USA Ni.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This introduces artificial neural network-based Lagrange optimization techniques for structural design in prestressed concrete based on Eurocode 2 and composite structures based on American Institute of Steel Construction and American Concrete Institute standards. ANN-based design charts show how to use the Lagrange multiplier method.