Artificial Intelligence-Based Design of Reinforced Concrete Structures
Artificial Intelligence-Based Design of Reinforced Concrete Structures

Author: Won-Kee Hong

Publisher: Elsevier

Published: 2023-04-29

Total Pages: 510

ISBN-13: 0443152535

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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
Artificial Neural Network-based Optimized Design of Reinforced Concrete Structures

Author: Won‐Kee Hong

Publisher: CRC Press

Published: 2023-01-11

Total Pages: 581

ISBN-13: 1000804747

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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.

AI-Based Optimized Design of Structural Frames
AI-Based Optimized Design of Structural Frames

Author: Won‐Kee Hong

Publisher: CRC Press

Published: 2024-10-16

Total Pages: 607

ISBN-13: 1040130968

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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.

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

Author: Won‐Kee Hong

Publisher: CRC Press

Published: 2023-09-25

Total Pages: 553

ISBN-13: 1000913899

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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.

Seismic Design of Reinforced Concrete and Masonry Buildings
Seismic Design of Reinforced Concrete and Masonry Buildings

Author: Thomas Paulay

Publisher: Wiley-Interscience

Published: 1992-04-10

Total Pages: 768

ISBN-13: 9780471549154

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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.

Advances in Swarm Intelligence
Advances in Swarm Intelligence

Author: Anupam Biswas

Publisher: Springer Nature

Published: 2022-10-01

Total Pages: 416

ISBN-13: 3031098358

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Swarm Intelligence (SI) has grown significantly, both from the perspective of algorithmic development and applications covering almost all disciplines science and technology. This book emphasizes the studies of existing SI techniques, their variants and applications. The book also contains reviews of new developments in SI techniques and hybridizations. Algorithm specific studies covering basic introduction and analysis of key components of these algorithms, such as convergence, balance of solution accuracy, computational costs, tuning and control of parameters. Application specific studies incorporating the ways of designing objective functions, solution representation and constraint handling. The book also includes studies on application domain specific adaptations in the SI techniques. The book will be beneficial for academicians and researchers from various disciplines of engineering and science working in applications of SI and other optimization problems.

Reinforced Concrete
Reinforced Concrete

Author: Sharon Robinson

Publisher:

Published: 2017

Total Pages: 0

ISBN-13: 9781536107524

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Concrete is one of the most used materials in the construction industry. In structural systems, the combination of concrete and steel reinforcement bars gives rise to reinforced concrete (RC), which is widely applied in the civil engineering field due to its adequate mechanical strength, durability, and fire resistance. Steel-rebar reinforced structures are subjected to structural deterioration when subjected to extreme loadings such as earthquake, fire, impact loadings and cyclic loading, consequently reducing the expected life and performance of structures. To enhance the structural performance, the RC structures are usually retrofitted or strengthened. This book reviews design, performance and applications of reinforced concrete.