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Book Artificial Intelligence Based Design of Reinforced Concrete Structures

Download or read book Artificial Intelligence Based Design of Reinforced Concrete Structures written by Won-Kee Hong and published by Elsevier. This book was released on 2023-04-29 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Artificial Neural Network based Optimized Design of Reinforced Concrete Structures

Download or read book Artificial Neural Network based Optimized Design of Reinforced Concrete Structures written by Won‐Kee Hong and published by CRC Press. This book was released on 2023-01-11 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book AI Based Optimized Design of Structural Frames

Download or read book AI Based Optimized Design of Structural Frames written by Won‐Kee Hong and published by CRC Press. This book was released on 2024-10-16 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces an auto‐design‐based optimization for building frames using an artificial neural network (ANN)‐based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph‐Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames. New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANN‐based and novel GA‐based structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANN‐based holistic designs of multi‐story frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced. This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.

Book Artificial Intelligence Applications for Sustainable Construction

Download or read book Artificial Intelligence Applications for Sustainable Construction written by Moncef L. Nehdi and published by Elsevier. This book was released on 2024-02-13 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Artificial Neural Network based Designs of Prestressed Concrete and Composite Structures

Download or read book Artificial Neural Network based Designs of Prestressed Concrete and Composite Structures written by Won‐Kee Hong and published by CRC Press. This book was released on 2023-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book AI Based Optimized Design of Structural Frames

Download or read book AI Based Optimized Design of Structural Frames written by Won-Kee Hong and published by CRC Press. This book was released on 2024-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces an auto-design-based optimization for building frames using an artificial neural network (ANN)-based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Joseph-Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames. New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANN-based and novel GA-based structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANN-based holistic designs of multi-story frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced. This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.

Book Artificial Intelligence and Machine Learning Techniques for Civil Engineering

Download or read book Artificial Intelligence and Machine Learning Techniques for Civil Engineering written by Plevris, Vagelis and published by IGI Global. This book was released on 2023-06-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Seismic Design of Reinforced Concrete and Masonry Buildings

Download or read book Seismic Design of Reinforced Concrete and Masonry Buildings written by Thomas Paulay and published by Wiley-Interscience. This book was released on 1992-04-10 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizes actual structural design, not analysis, of multistory buildings for seismic resistance. Strong emphasis is placed on specific detailing requirements for construction. Fundamental design principles are presented to create buildings that respond to a wide range of potential seismic forces, which are illustrated by numerous detailed examples. The discussion includes the design of reinforced concrete ductile frames, structural walls, dual systems, reinforced masonry structures, buildings with restricted ductility and foundation walls. In addition to the examples, full design calculations are given for three prototype structures.

Book Engineering Applications of AI and Swarm Intelligence

Download or read book Engineering Applications of AI and Swarm Intelligence written by Xin-She Yang and published by Springer Nature. This book was released on with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Design of Reinforced Concrete Structures

Download or read book Design of Reinforced Concrete Structures written by Alan Williams and published by Dearborn Trade Publishing. This book was released on 2004 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a comprehensive guide and reference to assist civil engineers preparing for the Structural Engineer Examination. It offers 350 pages of text and 70 design problems with complete step-by-step solutions. Topics covered: Materials for Reinforced Concrete; Limit State Principles; Flexure of Reinforced Concrete Beams; Shear and Torsion of Concrete Beams; Bond and Anchorage; Design of Reinforced Concrete Columns; Design of Reinforced Concrete Slabs and Footings; Retaining Walls; and Piled Foundations. An index is provided.

Book Application of Artificial Intelligence Approach to Design of One way Flexural Members in Reinforced Concrete

Download or read book Application of Artificial Intelligence Approach to Design of One way Flexural Members in Reinforced Concrete written by Mosallem D. Kassem and published by . This book was released on 1986 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Design of Reinforced Concrete Structures for Architects

Download or read book Design of Reinforced Concrete Structures for Architects written by Harbhajan Singh and published by Abhishek Publications. This book was released on 2023-09-29 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: this book include the following chapters: 1.Introduction 2.working stress method of design 3.shear, bond and development length 4. analysis and design of singly reinforced rectangular beams 5.analysis and design of doubly reinforced rectangular beams 6.design of one way slap 7.design of cantilever slab 8.design of circular slap 9.design of two way slab 10.design of singly and doubly reinforced T-beams 11.design of L-beams 12.design of continuous slabs 13.design of continuous beam 14.design of axially loaded RCC columns 15.isolated column footings and RCC footings for walls 16.design of stairs 17.design of corner balcony and coffer slab 18.limit state method 19.analysis and design of singly reinforced beam by limit state method 20.design of doubly reinforced beam by limit state method

Book Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures  Emerging Research and Opportunities

Download or read book Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures Emerging Research and Opportunities written by Kayabekir, Aylin Ece and published by IGI Global. This book was released on 2020-03-20 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Developments in Artificial Intelligence for Civil and Structural Engineering

Download or read book Developments in Artificial Intelligence for Civil and Structural Engineering written by B. H. V. Topping and published by Hyperion Books. This book was released on 1995 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Reinforced Concrete

Download or read book Reinforced Concrete written by B.S. Choo and published by CRC Press. This book was released on 2018-10-08 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of a highly practical text gives a detailed presentation of the design of common reinforced concrete structures to limit state theory in accordance with BS 8110.

Book Reinforced Concrete Design to Eurocode 2

Download or read book Reinforced Concrete Design to Eurocode 2 written by Giandomenico Toniolo and published by Springer. This book was released on 2017-05-09 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes the basic mechanical features of concrete and explains the main resistant mechanisms activated in the reinforced concrete structures and foundations when subjected to centred and eccentric axial force, bending moment, shear, torsion and prestressing. It presents a complete set of limit-state design criteria of the modern theory of RC incorporating principles and rules of the final version of the official Eurocode 2. This textbook examines methodological more than notional aspects of the presented topics, focusing on the verifications of assumptions, the rigorousness of the analysis and the consequent degree of reliability of results. Each chapter develops an organic topic, which is eventually illustrated by examples in each final paragraph containing the relative numerical applications. These practical end-of-chapter appendices and intuitive flow-charts ensure a smooth learning experience. The book stands as an ideal learning resource for students of structural design and analysis courses in civil engineering, building construction and architecture, as well as a valuable reference for concrete structural design professionals in practice.