{"product_id":"artificial-neural-networkbased-designs-of-prestressed-concrete-and-composite-structures-9781032408088","title":"Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book introduces ANN-based Lagrange optimization techniques for structural design of prestressed concrete structures and composite structures, providing robust design charts and Pareto frontier for optimal solutions. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 530 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 25 September 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into the realm of artificial neural network (ANN)-based Lagrange optimization techniques, offering invaluable insights for the structural design of prestressed concrete structures and composite structures based on Eurocode 2 and American Institute of Steel Construction and American Concrete Institute standards. It presents robust design charts that are challenging to attain through conventional design methods, enabling designers to optimize design targets with precision. By employing ANN-based design charts, the holistic design of post-tensioned beams is accomplished, optimizing design objectives while calculating a multitude of forward outputs in arbitrary sequences from a mere 21 forward inputs.\u003cbr\u003e\u003cbr\u003eThe book applies the powerful tools of ANN to optimize prestressed concrete structures and composite structures, encompassing columns and beams. It also conducts multi-objective optimizations (MOO) of prestressed concrete beams using an ANN-based Lagrange algorithm, providing a Pareto frontier for composite beams and composite columns subjected to multi-biaxial loads.\u003cbr\u003e\u003cbr\u003eThroughout the book, numerous illustrations are presented in vibrant color, accompanied by diverse practical design examples that align with EC2, ACI, and ASTM codes. This extensive coverage ensures that structural designers and researchers have access to optimal solutions, empowering them to construct design charts tailored to minimize their design targets while adhering to various design codes.\u003cbr\u003e\u003cbr\u003eIn summary, this book serves as a valuable resource for structural designers and researchers, providing them with the tools and knowledge necessary to optimize the design of prestressed concrete structures and composite structures, ultimately achieving superior performance and safety.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1180g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032408088\u003c\/p\u003e","brand":"Won-KeeHong","offers":[{"title":"Hardback","offer_id":44594771689722,"sku":"9781032408088","price":171.36,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1695983569940_book.jpg?v=1696055715","url":"https:\/\/shulphink.com\/products\/artificial-neural-networkbased-designs-of-prestressed-concrete-and-composite-structures-9781032408088","provider":"Shulph Ink","version":"1.0","type":"link"}