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

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

  1. 530 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

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

About this book

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.

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Information

Publisher
CRC Press
Year
2023
Print ISBN
9781032408088
eBook ISBN
9781000913934

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. 1 Basic principles of prestressed structures based on Eurocode 2
  8. 2 Holistic design of pretensioned concrete beams based on artificial neural networks
  9. 3 An optimized design of pretensioned concrete beams using an ANN-based Lagrange algorithm
  10. 4 Multi-objective optimizations (MOO) of pretensioned concrete beams using an ANN-based Lagrange algorithm
  11. 5 Reverse design charts for steel-reinforced concrete (SRC) beams based on artificial neural networks
  12. 6 An optimization of steel-reinforced concrete beams using an ANN-based Lagrange algorithm
  13. 7 Multi-objective optimization (MOO) for steel-reinforced concrete beam developed based on ANN-based Lagrange algorithm
  14. 8 An ANN-based reverse design of reinforced concrete columns encasing H-shaped steel section
  15. 9 Design optimizations of concrete columns encasing H-shaped steel sections under a biaxial bending using an ANN-based Lagrange algorithm
  16. 10 A Pareto frontier using an ANN-based multi-objective optimization (MOO) for concrete columns encasing H-shaped steel sustaining multi-biaxial loads
  17. Index

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Yes, you can access Artificial Neural Network-based Designs of Prestressed Concrete and Composite Structures by Won‐Kee Hong in PDF and/or ePUB format, as well as other popular books in Technologie et ingénierie & Réseaux de neurones. We have over 1.5 million books available in our catalogue for you to explore.