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Structural optimization through neural networks for the anti-seismic design

Structural optimization through neural networks for the anti-seismic design
Author: Carlo Calledda
Publisher: Youcanprint
Total Pages: 76
Release: 2021-03-17
Genre: Computers
ISBN:

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Neural network-based algorithms find numerous applications in different scientific fields and, in particular, in the various areas of engineering. In Civil Engineering, however, there are still few applications of such methods. The purpose of this thesis is to apply the resolution capabilities of artificial neural networks to structural design.


Structural Seismic Design Optimization and Earthquake Engineering: Formulations and Applications

Structural Seismic Design Optimization and Earthquake Engineering: Formulations and Applications
Author: Plevris, Vagelis
Publisher: IGI Global
Total Pages: 456
Release: 2012-05-31
Genre: Technology & Engineering
ISBN: 1466616415

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Throughout the past few years, there has been extensive research done on structural design in terms of optimization methods or problem formulation. But, much of this attention has been on the linear elastic structural behavior, under static loading condition. Such a focus has left researchers scratching their heads as it has led to vulnerable structural configurations. What researchers have left out of the equation is the element of seismic loading. It is essential for researchers to take this into account in order to develop earthquake resistant real-world structures. Structural Seismic Design Optimization and Earthquake Engineering: Formulations and Applications focuses on the research around earthquake engineering, in particular, the field of implementation of optimization algorithms in earthquake engineering problems. Topics discussed within this book include, but are not limited to, simulation issues for the accurate prediction of the seismic response of structures, design optimization procedures, soft computing applications, and other important advancements in seismic analysis and design where optimization algorithms can be implemented. Readers will discover that this book provides relevant theoretical frameworks in order to enhance their learning on earthquake engineering as it deals with the latest research findings and their practical implementations, as well as new formulations and solutions.


Intelligent Computational Paradigms in Earthquake Engineering

Intelligent Computational Paradigms in Earthquake Engineering
Author: Nikos D. Lagaros
Publisher: IGI Global
Total Pages: 463
Release: 2007-01-01
Genre: Technology & Engineering
ISBN: 1599040999

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"This book contains contributions that cover a wide spectrum of very important real-world engineering problems, and explores the implementation of neural networks for the representation of structural responses in earthquake engineering. It assesses the efficiency of seismic design procedures and describes the latest findings in intelligent optimal control systems and their applications in structural engineering"--Provided by publisher.


Computational Structural Dynamics and Earthquake Engineering

Computational Structural Dynamics and Earthquake Engineering
Author: Manolis Papadrakakis
Publisher: CRC Press
Total Pages: 672
Release: 2008-12-04
Genre: Technology & Engineering
ISBN: 020388163X

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The increasing necessity to solve complex problems in Structural Dynamics and Earthquake Engineering requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest scientific developments in Computational Dynamics, Stochastic Dynam


Optimization of Large Structural Systems

Optimization of Large Structural Systems
Author: G. I. N. Rozvany
Publisher: Springer Science & Business Media
Total Pages: 594
Release: 1993
Genre: Science
ISBN: 9780792321293

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This is the second of two volumes which examine structural optimization of large structural systems. Topics covered in these volumes include optimality criteria and topology optimization, decomposition methods and approximation concepts, neural networks and parallel processing.


Structural Optimization

Structural Optimization
Author: Franklin Y. Cheng
Publisher: CRC Press
Total Pages: 828
Release: 2017-12-21
Genre: Technology & Engineering
ISBN: 1351991280

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Today’s biggest structural engineering challenge is to design better structures, and a key issue is the need to take an integrated approach which balances control of costs with the requirement for handling earthquakes and other dynamic forces. Structural optimization is based on rigorous mathematical formulation and requires computation algorithms for sizing structural elements and synthesizing systems. Now that the right software and enough computing power are readily available, professionals can now develop a suite of alternative designs and a select suitable one. A thoroughly-written and practical book on structural optimization is long overdue. This solid book comprehensively presents current optimization strategies, illustrated with sufficient examples of the design of elements and systems and presenting descriptions of the process and results. Emphasis is given to dynamic loading, in particular to seismic forces. Researchers and practising engineers will find this book an excellent reference, and advanced undergraduates or graduate students can use it as a resource for structural optimization design.


Optimization and Anti-optimization of Structures Under Uncertainty

Optimization and Anti-optimization of Structures Under Uncertainty
Author: Isaac Elishakoff
Publisher: World Scientific
Total Pages: 425
Release: 2010
Genre: Technology & Engineering
ISBN: 1848164777

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The volume presents a collaboration between internationally recognized experts on anti-optimization and structural optimization, and summarizes various novel ideas, methodologies and results studied over 20 years. The book vividly demonstrates how the concept of uncertainty should be incorporated in a rigorous manner during the process of designing real-world structures. The necessity of anti-optimization approach is first demonstrated, then the anti-optimization techniques are applied to static, dynamic and buckling problems, thus covering the broadest possible set of applications. Finally, anti-optimization is fully utilized by a combination of structural optimization to produce the optimal design considering the worst-case scenario. This is currently the only book that covers the combination of optimization and anti-optimization. It shows how various optimization techniques are used in the novel anti-optimization technique, and how the structural optimization can be exponentially enhanced by incorporating the concept of worst-case scenario, thereby increasing the safety of the structures designed in various fields of engineering.


Proceedings of International Conference on Data Science and Applications

Proceedings of International Conference on Data Science and Applications
Author: Mukesh Saraswat
Publisher: Springer Nature
Total Pages: 946
Release: 2023-02-16
Genre: Technology & Engineering
ISBN: 9811966311

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This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.


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.


Advances in Structural Optimization

Advances in Structural Optimization
Author: Dan M. Frangopol
Publisher: American Society of Civil Engineers
Total Pages: 248
Release: 1997
Genre: Technology & Engineering
ISBN:

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This collection contains 20 papers highlighting improvements to the design and performance of structures presented at the First US-Japan Joint Seminar on Structural Optimization at Structures Congress XIV, held in Chicago, Illinois, April 13, 1996.