Artificial Intelligence Based Design Of Reinforced Concrete Structures
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Artificial Intelligence Based Design Of Reinforced Concrete Structures
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Author : Won-Kee Hong
language : en
Publisher: Elsevier
Release Date : 2023-04-29
Artificial Intelligence Based Design Of Reinforced Concrete Structures written by Won-Kee Hong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-29 with Technology & Engineering categories.
Artificial Intelligence-Based Design of Reinforced Concrete Structures: Artificial Neural Networks for Engineering Applications is an essential reference resource for readers who want to learn how to perform artificial intelligence-based structural design. The book describes, in detail, the main concepts of ANNs and their application and use in civil and architectural engineering. It shows how neural networks can be established and implemented depending on the nature of a broad range of diverse engineering problems. The design examples include both civil and architectural engineering solutions, for both structural engineering and concrete structures. Those who have not had the opportunity to study or implement neural networks before will find this book very easy to follow. It covers the basic network theory and how to formulate and apply neural networks to real-world problems. Plenty of examples based on real engineering problems and solutions are included to help readers better understand important concepts. Helps civil engineers understand the fundamentals of AI and ANNs and how to apply them in simple reinforced concrete design cases Contains practical case study examples on the application of AI technology in structural engineer Teaches readers how to apply ANNs as solutions for a broad range of engineering problems Includes AI-based software [MATLAB], which will enable readers to verify AI-based examples
Artificial Neural Network Based Optimized Design Of Reinforced Concrete Structures
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Author : Won‐Kee Hong
language : en
Publisher: CRC Press
Release Date : 2023-01-11
Artificial Neural Network Based Optimized Design Of Reinforced Concrete Structures written by Won‐Kee Hong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-11 with Technology & Engineering categories.
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures introduces AI-based Lagrange optimization techniques that can enable more rational engineering decisions for concrete structures while conforming to codes of practice. It shows how objective functions including cost, CO2 emissions, and structural weight of concrete structures are optimized either separately or simultaneously while satisfying constraining design conditions using an ANN-based Lagrange algorithm. Any design target can be adopted as an objective function. Many optimized design examples are verified by both conventional structural calculations and big datasets. Uniquely applies the new powerful tools of AI to concrete structural design and optimization Multi-objective functions of concrete structures optimized either separately or simultaneously Design requirements imposed by codes are automatically satisfied by constraining conditions Heavily illustrated in color with practical design examples The book suits undergraduate and graduate students who have an understanding of collegelevel calculus and will be especially beneficial to engineers and contractors who seek to optimize concrete structures.
Artificial Neural Network Based Designs Of Prestressed Concrete And Composite Structures
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Author : Won‐Kee Hong
language : en
Publisher: CRC Press
Release Date : 2023-09-25
Artificial Neural Network Based Designs Of Prestressed Concrete And Composite Structures written by Won‐Kee Hong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-25 with Technology & Engineering categories.
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 beams Multi-objective optimizations (MOO) of prestressed concrete beams are performed using an ANN-based Lagrange algorithm Offers a Pareto frontier using an ANN-based MOO for composite beams and composite columns sustaining multi-biaxial loads Heavily illustrated in color and with diverse practical design examples in line with EC2, ACI, and ASTM codes The 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.
Artificial Intelligence Applications For Sustainable Construction
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Author : Moncef L. Nehdi
language : en
Publisher: Elsevier
Release Date : 2024-02-13
Artificial Intelligence Applications For Sustainable Construction written by Moncef L. Nehdi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-13 with Technology & Engineering categories.
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste. The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike. Presents convincing “success stories that encourage application of AI-powered tools to civil engineering Provides a wealth of valuable technical information to address and resolve many challenging construction problems Illustrates the most recent shifts in thinking and practice for sustainable construction
Artificial Intelligence And Machine Learning Techniques For Civil Engineering
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Author : Plevris, Vagelis
language : en
Publisher: IGI Global
Release Date : 2023-06-05
Artificial Intelligence And Machine Learning Techniques For Civil Engineering written by Plevris, Vagelis and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Technology & Engineering categories.
In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.
Developments In Artificial Intelligence For Civil And Structural Engineering
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Author : B. H. V. Topping
language : en
Publisher: Hyperion Books
Release Date : 1995
Developments In Artificial Intelligence For Civil And Structural Engineering written by B. H. V. Topping and has been published by Hyperion Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Includes a selection of papers that were presented at the Fourth International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, which was held at Cambridge, England, from 28-30 August 1995.
Comparative Design Of Structures
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Author : Shaopei Lin
language : en
Publisher: Springer
Release Date : 2015-11-19
Comparative Design Of Structures written by Shaopei Lin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-19 with Technology & Engineering categories.
This book presents comparative design as an approach to the conceptual design of structures. Primarily focusing on reasonable structural performance, sustainable development and architectural aesthetics, it features detailed studies of structural performance through the composition and de-composition of these elements for a variety of structures, such as high-rise buildings, long-span crossings and spatial structures. The latter part of the book addresses the theoretical basis and practical implementation of knowledge engineering in structural design, and a case-based fuzzy reasoning method is introduced to illustrate the concept and method of intelligent design. The book is intended for civil engineers, structural designers and architects, as well as senior undergraduate and graduate students in civil engineering and architecture. Lin Shaopei and Huang Zhen are both Professors at the Department of Civil Engineering, Shanghai Jiao Tong University, China.
Metaheuristic Approaches For Optimum Design Of Reinforced Concrete Structures Emerging Research And Opportunities
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Author : Kayabekir, Aylin Ece
language : en
Publisher: IGI Global
Release Date : 2020-03-20
Metaheuristic Approaches For Optimum Design Of Reinforced Concrete Structures Emerging Research And Opportunities written by Kayabekir, Aylin Ece and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-20 with Technology & Engineering categories.
Reinforced concrete structures are one of the major structural types and must adhere to design regulation codes. It is ideal to find the best design (section dimension, material type, and amount of reinforcement) with the minimum cost providing the design constraints (design formulation considering loading of structure). Metaheuristic methods inspired by natural phenomena can consider design constraints by combining the analyses of formulation of reinforced concrete structures with an iterative numerical algorithm using several convergence options of random generation of candidate design solutions. Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members. Additionally, retrofit applications and seismic design issues are considered for readers in earthquake zones. Highlighting a wide range of topics including algorithms, design variables, and retrofit design, this book is ideally designed for architects, engineers, urban designers, government officials, policymakers, researchers, academicians, and students.
Artificial Intelligence Applications In Civil And Structural Engineering
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Author : B. Kumar
language : en
Publisher:
Release Date : 1999
Artificial Intelligence Applications In Civil And Structural Engineering written by B. Kumar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Artificial intelligence categories.
Contains a selection of papers presented at The Fifth International Conference on the Applications of Artificial Intelligence to Civil and Structural Engineering, held from 13-15 September 1999, at Oxford, England.
Hybrid Metaheuristics In Structural Engineering
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Author : Gebrail Bekdaş
language : en
Publisher: Springer Nature
Release Date : 2023-06-15
Hybrid Metaheuristics In Structural Engineering written by Gebrail Bekdaş and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-15 with Technology & Engineering categories.
From the start of life, people used their brains to make something better in design in ordinary works. Due to that, metaheuristics are essential to living things, and several inspirations from life have been used in the generation of new algorithms. These algorithms have unique features, but the usage of different features of different algorithms may give more effective optimum results in means of precision in optimum results, computational effort, and convergence. This book is a timely book to summarize the latest developments in the optimization of structural engineering systems covering all classical approaches and new trends including hybrids metaheuristic algorithms. Also, artificial intelligence and machine learning methods are included to predict optimum results by skipping long optimization processes. The main objective of this book is to introduce the fundamentals and current development of methods and their applications in structural engineering.