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Artificial Intelligence In Structural Engineering
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Book Synopsis Artificial Intelligence in Structural Engineering by : Ian Smith
Download or read book Artificial Intelligence in Structural Engineering written by Ian Smith and published by Springer Science & Business Media. This book was released on 1998-07-15 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art of artificial intelligence techniques applied to structural engineering. The 28 revised full papers by leading scientists were solicited for presentation at a meeting held in Ascona, Switzerland, in July 1998. The recent advances in information technology, in particular decreasing hardware cost, Internet communication, faster computation, increased bandwidth, etc., allow for the application of new AI techniques to structural engineering. The papers presented deal with new aspects of information technology support for the design, analysis, monitoring, control and diagnosis of various structural engineering systems.
Book Synopsis Artificial Intelligence in Construction Engineering and Management by : Limao Zhang
Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang and published by Springer Nature. This book was released on 2021-06-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Book Synopsis Advances in Structural Engineering—Optimization by : Sinan Melih Nigdeli
Download or read book Advances in Structural Engineering—Optimization written by Sinan Melih Nigdeli and published by Springer Nature. This book was released on 2020-12-04 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.
Book Synopsis Applications of Artificial Intelligence in Engineering by : Xiao-Zhi Gao
Download or read book Applications of Artificial Intelligence in Engineering written by Xiao-Zhi Gao and published by Springer Nature. This book was released on 2021-05-10 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected papers presented at the First Global Conference on Artificial Intelligence and Applications (GCAIA 2020), organized by the University of Engineering & Management, Jaipur, India, during 8–10 September 2020. The proceeding will be targeting the current research works in the domain of intelligent systems and artificial intelligence.
Book Synopsis Structural Health Monitoring Based on Data Science Techniques by : Alexandre Cury
Download or read book Structural Health Monitoring Based on Data Science Techniques written by Alexandre Cury and published by Springer Nature. This book was released on 2021-10-23 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.
Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren
Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. - Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms - Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis - Gives direction to future development trends of AI technologies in chemical and process engineering
Book Synopsis Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by : Gebrail Bekdas
Download or read book Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering written by Gebrail Bekdas and published by Engineering Science Reference. This book was released on 2019 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--
Book Synopsis Recent Advances in Structural Engineering, Volume 1 by : A. Rama Mohan Rao
Download or read book Recent Advances in Structural Engineering, Volume 1 written by A. Rama Mohan Rao and published by Springer. This book was released on 2018-08-01 with total page 1137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of select papers presented at the Tenth Structural Engineering Convention 2016 (SEC-2016). It comprises plenary, invited, and contributory papers covering numerous applications from a wide spectrum of areas related to structural engineering. It presents contributions by academics, researchers, and practicing structural engineers addressing analysis and design of concrete and steel structures, computational structural mechanics, new building materials for sustainable construction, mitigation of structures against natural hazards, structural health monitoring, wind and earthquake engineering, vibration control and smart structures, condition assessment and performance evaluation, repair, rehabilitation and retrofit of structures. Also covering advances in construction techniques/ practices, behavior of structures under blast/impact loading, fatigue and fracture, composite materials and structures, and structures for non-conventional energy (wind and solar), it will serve as a valuable resource for researchers, students and practicing engineers alike.
Book Synopsis Vibration-based Techniques For Damage Detection And Localization In Engineering Structures by : Ali Salehzadeh Nobari
Download or read book Vibration-based Techniques For Damage Detection And Localization In Engineering Structures written by Ali Salehzadeh Nobari and published by World Scientific. This book was released on 2018-05-04 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the oil and gas industries, large companies are endeavoring to find and utilize efficient structural health monitoring methods in order to reduce maintenance costs and time. Through an examination of the vibration-based techniques, this title addresses theoretical, computational and experimental methods used within this trend.By providing comprehensive and up-to-date coverage of established and emerging processes, this book enables the reader to draw their own conclusions about the field of vibration-controlled damage detection in comparison with other available techniques. The chapters offer a balance between laboratory and practical applications, in addition to detailed case studies, strengths and weakness are drawn from a broad spectrum of information.
Book Synopsis Machine Learning for Engineers by : Ryan G. McClarren
Download or read book Machine Learning for Engineers written by Ryan G. McClarren and published by Springer Nature. This book was released on 2021-09-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.
Book Synopsis Structural Health Monitoring by : Charles R. Farrar
Download or read book Structural Health Monitoring written by Charles R. Farrar and published by John Wiley & Sons. This book was released on 2012-11-19 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.
Book Synopsis Computational Engineering by : Peter Debney
Download or read book Computational Engineering written by Peter Debney and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling and Simulation Techniques in Structural Engineering by : Samui, Pijush
Download or read book Modeling and Simulation Techniques in Structural Engineering written by Samui, Pijush and published by IGI Global. This book was released on 2016-08-12 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. As computational methods continue to advance, so too do their applications in structural performance modeling and analysis. Modeling and Simulation Techniques in Structural Engineering presents emerging research on computational techniques and applications within the field of structural engineering. This timely publication features practical applications as well as new research insights and is ideally designed for use by engineers, IT professionals, researchers, and graduate-level students.
Book Synopsis Artificial Intelligence and Expert Systems for Engineers by : C.S. Krishnamoorthy
Download or read book Artificial Intelligence and Expert Systems for Engineers written by C.S. Krishnamoorthy and published by CRC Press. This book was released on 2018-04-24 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.
Book Synopsis Structural Reliability by : Jorge Eduardo Hurtado
Download or read book Structural Reliability written by Jorge Eduardo Hurtado and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: The last decades have witnessed the development of methods for solving struc tural reliability problems, which emerged from the efforts of numerous re searchers all over the world. For the specific and most common problem of determining the probability of failure of a structural system in which the limit state function g( x) = 0 is only implicitly known, the proposed methods can be grouped into two main categories: • Methods based on the Taylor expansion of the performance function g(x) about the most likely failure point (the design point), which is determined in the solution process. These methods are known as FORM and SORM (First- and Second Order Reliability Methods, respectively). • Monte Carlo methods, which require repeated calls of the numerical (nor mally finite element) solver of the structural model using a random real ization of the basic variable set x each time. In the first category of methods only SORM can be considered of a wide applicability. However, it requires the knowledge of the first and second deriva tives of the performance function, whose calculation in several dimensions either implies a high computational effort when faced with finite difference techniques or special programs when using perturbation techniques, which nevertheless require the use of large matrices in their computations. In or der to simplify this task, use has been proposed of techniques that can be regarded as variants of the Response Surface Method.
Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton
Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Book Synopsis Structural Health Monitoring and Engineering Structures by : Tinh Quoc Bui
Download or read book Structural Health Monitoring and Engineering Structures written by Tinh Quoc Bui and published by Springer Nature. This book was released on 2021-06-10 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the select proceedings of International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020. It brings together different applied and technological aspects of structural health monitoring. The main topics covered in this book include damage assessment, structural health monitoring, engineering fracture mechanics, Inverse problem using optimization techniques, machine learning, deep learning, Artificial intelligent and non-destructive evaluation. It will be a reference for professionals and students in the areas of civil engineering, applied natural sciences and engineering management.
