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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
Total Pages: 581
Release: 2023-01-11
Genre: Technology & Engineering
ISBN: 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.


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
Total Pages: 553
Release: 2023-09-25
Genre: Technology & Engineering
ISBN: 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.


Artificial Intelligence-Based Design of Reinforced Concrete Structures

Artificial Intelligence-Based Design of Reinforced Concrete Structures
Author: Won-Kee Hong
Publisher: Elsevier
Total Pages: 510
Release: 2023-04-29
Genre: Technology & Engineering
ISBN: 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


Optimization Aided Design

Optimization Aided Design
Author: Georgios Gaganelis
Publisher: John Wiley & Sons
Total Pages: 278
Release: 2022-01-25
Genre: Technology & Engineering
ISBN: 3433610703

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Optimierungsgestütztes Entwerfen und Bemessen liefert neuartige Methoden, bewehrten Beton besonders effizient einzusetzen. Dabei wird die mathematische Optimierung auf die praktischen Probleme des Betonbaus angewendet. Ziel ist es, sparsam mit dem weltweit meistverwandten Baustoff Stahlbeton umzugehen und damit den CO2-Ausstoß aus der Zement- und Stahlherstellung und den Ressourcenverbrauch an Kies, Sand und Wasser substanziell zu reduzieren. Drei Themenbereiche sind angesprochen. Erstens, die Strukturfindung, also die Frage nach der richtigen äußeren Form, dass schlanke, nach dem Kraftfluss ausgerichtete Tragwerke entstehen. Baustoffgerecht sind sie weitgehend auf Druck beansprucht. Zweitens, die Bewehrungsführung, die sich am inneren Kraftfluss orientiert. Vorteile ergeben sich gerade für Scheiben, volumenartige Bauteile, an Lasteinleitungsbereichen und Aussparungen. Es entstehen anschauliche, direkt in Bewehrungen umsetzbare Fachwerkmodelle. Dritter Entwicklungsschritt ist die Behandlung von Querschnitten. Sie werden in ihrer Form optimiert und in ihrer Bewehrung bemessen. Dies gilt auch für anspruchsvolle Beanspruchungen (zweiachsige Biegung) und nahezu beliebige Formen. Eine Parametrisierung ermöglicht die allgemeingültige Übertragung auf ganze Klassen von Querschnitten. Die optimierungsgestützten Methoden werden vertieft und anschaulich beschrieben. Sie sind universell anwendbar und unabhängig von Normen, Betonarten und Bewehrungen. Sie gelten für normalfeste bis zu ultrahochfesten Betonen, für Bewehrungen aus Stahl, Carbon oder Glasfasern und für Bewehrungsstäbe als auch -fasern. Zahlreiche Abbildungen und Berechnungsbeispiele verdeutlichen die Anwendung. Zudem werden praktische Umsetzungen vorgestellt, darunter ultra-leichte Stahl-Beton-Balken, schlanke Solarkollektoren aus Beton und verbesserte Bewehrungslayouts für Tunnelschalen. Das Buch richtet sich gleichermaßen an Studierende, Forscher und Praktiker.


Performance-Based Optimization of Structures

Performance-Based Optimization of Structures
Author: Qing Quan Liang
Publisher: CRC Press
Total Pages: 281
Release: 2005-02-25
Genre: Architecture
ISBN: 020333471X

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Performance-Based Optimization of Structures introduces a method to bridge the gap between structural optimization theory and its practical application to structural engineering. The Performance-Based Optimization (PBO) method combines modern structural optimisation theory with performance based design concepts to produce a powerful technique for use in structural design. This book provides the latest PBO techniques for achieving optimal topologies and shapes of continuum structures with stress, displacement and mean compliance constraints. The emphasis is strongly placed on practical applications of automated PBO techniques to the strut-and-tie modelling of structural concrete, which includes reinforced and prestressed concrete structures. Basic concepts underlying the development of strut-and-lie models, design optimization procedure, and detailing of structural concrete are described in detail. Alternative approaches to topology optimization are also introduced. The book contains numerous practical design examples illustrating the nature of the load transfer mechanism of structures.


Optimization Methods for Material Design of Cement-based Composites

Optimization Methods for Material Design of Cement-based Composites
Author: A.M. Brandt
Publisher: CRC Press
Total Pages: 336
Release: 1998-06-18
Genre: Architecture
ISBN: 9780419217909

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Provides a clear, comprehensive introduction to the subject. Different problems of optimization are considered and illustrated with examples. Large sets of new experimental data are presented and discussed.


Artificial Neural Networks for Civil Engineers

Artificial Neural Networks for Civil Engineers
Author: Ian Flood
Publisher: ASCE Publications
Total Pages: 300
Release: 1998-01-01
Genre: Technology & Engineering
ISBN: 9780784474464

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Sponsored by the Committee on Expert Systems and Artificial Intelligence of the Technical Council on Computer Practices of ASCE. This report illustrates advanced methods and new developments in the application of artificial neural networks to solve problems in civil engineering.Ø Topics include: Øevaluating new construction technologies; Øusing multi-layeredØartificial neural networkØarchitecture to overcome problems with conventional traffic signal control systems; Øincreasing the computational efficiency of an optimization model; Øpredicting carbonation depth in concrete structures; Ødetecting defects in concrete piles; Øanalyzing pavement systems; Øusing neural network hybrids to select the most appropriate bidders for a construction project; and Øpredicting the Energy Performance Index of residential buildings. ØMany of the ideas and techniques discussed in this book cross across disciplinary boundaries and, therefore, should be of interest to all civil engineers.


Composite Precast Systems

Composite Precast Systems
Author: Won-Kee Hong
Publisher: Woodhead Publishing Limited
Total Pages: 493
Release: 2019-11
Genre:
ISBN: 9780081027219

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Hybrid Composite Precast Systems: Numerical Investigation to Construction focuses on the design and construction of novel composite precast frame systems that permit almost effortless erection and structural efficiency. The precast frame systems discussed in the book are similar to that of steel frames, but offer similar savings to concrete frames. The design of connections and detailed analysis of their structural behavior is discussed in detail. Fundamentals with regards to the post yield behavior of concrete and metal are also presented to illustrate how these two different materials are integrated together to remove individual material drawbacks. Readers are given a broad introduction to existing technologies that are then combined with a description of the construction methods the author proposes. This book will help the end users become familiar with the existing types of structural forms, not just the "Lego" type frame system that the author proposes. Discusses how traditional construction methods can be replaced by innovative hybrid composite precast frame systems that provide rapid and effortless erection capabilities and structural efficiency Contains several design examples using non-linear finite element analysis completed with Abaqus based-software Contains new milestone inventions in construction that offer structural engineering solutions using a novel, modularized hybrid frame system Provides information on structural testing that verifies the accuracy of the structural design


Advanced Reinforced Concrete Design, (inkl. E-Book als PDF)

Advanced Reinforced Concrete Design, (inkl. E-Book als PDF)
Author: Georgios Gaganelis
Publisher: Ernst & Sohn
Total Pages: 0
Release: 2022-07-18
Genre: Technology & Engineering
ISBN: 9783433033388

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Concrete is the most used building material. Its main component, cement, however, accounts production- related for up to 10 % of global CO2 emissions and is therefore a major contributor to human-induced climate change. Due to its low tensile strength, concrete must be further enhanced in tension with adequate reinforcement, such as steel. Producing the latter therefore additionally impacts the environment. Consequently, reducing the material amount for design and construction of structures, thus lowering material- and transport-induced emissions, represents a key element to climate protection. In this context, meeting the essential requirements ? sustainability, serviceability, durability ? is yet indispensable. The book presents innovative optimization aided design methods for concrete structures. Mathematical optimization is applied to practical problems of structural concrete at each level: from external, through internal structure identification to cross-section design. It is shown how to design resource-efficient structures following the flux of forces, how to optimally adapt reinforcement layouts to the internal force flow, and how to efficiently cope with demanding cross-sectional design tasks such as biaxial bending. The optimization aided design methods are discussed in detail and described vividly. They are independent of standards, concrete material (normal to ultra-high performance) and reinforcement type (steel fibers to carbon bars), thus universally applicable. The book illustrates the different approaches with numerous figures and calculation examples. Existing applications in structural engineering are presented to demonstrate the potential of optimization aided design concepts, including ultra-lightweight hybrid beams, thin concrete solar collectors, and improved reinforcement layouts for tunnel lining segments. (incl. ebook as PDF)


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

Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures: Emerging Research and Opportunities
Author: Kayabekir, Aylin Ece
Publisher: IGI Global
Total Pages: 229
Release: 2020-03-20
Genre: Technology & Engineering
ISBN: 179982666X

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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.