Interpretable Machine Learning For The Analysis Design Assessment And Informed Decision Making For Civil Infrastructure PDF Download
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Author | : M. Z. Naser |
Publisher | : Elsevier |
Total Pages | : 300 |
Release | : 2023-11-01 |
Genre | : Technology & Engineering |
ISBN | : 0128240741 |
Download Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure Book in PDF, ePub and Kindle
The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. Focuses on civil engineering applications for extreme events Explains the fundamentals of AI/ML and how they can be applied in civil engineering Features case study examples, design codes, and problems and solutions that would work for extreme events
Author | : Venkatesh Kodur |
Publisher | : McGraw Hill Professional |
Total Pages | : 481 |
Release | : 2020-02-28 |
Genre | : Technology & Engineering |
ISBN | : 1260128598 |
Download Structural Fire Engineering Book in PDF, ePub and Kindle
Actionable strategies for the design and construction of fire-resistant structures This hands-on guide clearly explains the complex building codes and standards that relate to fire design and presents hands-on techniques engineers can apply to prevent or mitigate the effects of fire in structures. Dedicated chapters discuss specific procedures for steel, concrete, and timber buildings. You will get step-by-step guidance on how to evaluate fire resistance using both testing and calculation methods. Structural Fire Engineering begins with an introduction to the behavioral aspects of fire and explains how structural materials react when exposed to elevated temperatures. From there, the book discusses the fire design aspects of key codes and standards, such as the International Building Code, the International Fire Code, and the NFPA Fire Code. Advanced topics are covered in complete detail, including residual capacity evaluation of fire damaged structures and fire design for bridges and tunnels. Explains the fire design requirements of the IBC, IFC, the NFPA Fire Code, and National Building Code of Canada Presents design strategies for steel, concrete, and timber structures as well as for bridges and tunnels Contains downloadable spreadsheets and problems along with solutions for instructors
Author | : Alexandre Cury |
Publisher | : Springer Nature |
Total Pages | : 490 |
Release | : 2021-10-23 |
Genre | : Computers |
ISBN | : 3030817164 |
Download Structural Health Monitoring Based on Data Science Techniques Book in PDF, ePub and Kindle
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.
Author | : Frank Dehn |
Publisher | : CRC Press |
Total Pages | : 244 |
Release | : 2015-09-17 |
Genre | : Technology & Engineering |
ISBN | : 1315677644 |
Download Concrete Repair, Rehabilitation and Retrofitting IV Book in PDF, ePub and Kindle
The Fourth International Conference on Concrete Repair, Rehabilitation and Retrofitting (ICCRRR 2015) was held 5-7 October 2015 in Leipzig, Germany. This conference is a collaborative venture by researchers from the South African Research Programme in Concrete Materials (based at the Universities of Cape Town and The Witwatersrand) and the Material
Author | : Raymond Issa |
Publisher | : |
Total Pages | : 0 |
Release | : 2014 |
Genre | : Building |
ISBN | : 9780784413616 |
Download Computing in Civil and Building Engineering (2014) Book in PDF, ePub and Kindle
Author | : Söhnke M. Bartram |
Publisher | : CFA Institute Research Foundation |
Total Pages | : 95 |
Release | : 2020-08-28 |
Genre | : Business & Economics |
ISBN | : 195292703X |
Download Artificial Intelligence in Asset Management Book in PDF, ePub and Kindle
Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.
Author | : Venkatesh Kodur |
Publisher | : DEStech Publications, Inc |
Total Pages | : 1047 |
Release | : 2010 |
Genre | : Technology & Engineering |
ISBN | : 1605950270 |
Download Structures in Fire Book in PDF, ePub and Kindle
Author | : Kenneth Norman Ross |
Publisher | : Paris, France : Unesco, International Institute for Educational Planning ; Oxford, England : Pergamon |
Total Pages | : 202 |
Release | : 1990 |
Genre | : Education |
ISBN | : |
Download Planning the Quality of Education Book in PDF, ePub and Kindle
Author | : Mettu Srinivas |
Publisher | : John Wiley & Sons |
Total Pages | : 372 |
Release | : 2021-08-10 |
Genre | : Computers |
ISBN | : 1119769248 |
Download Machine Learning Algorithms and Applications Book in PDF, ePub and Kindle
Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms. The book discusses many methods based in different fields, including statistics, pattern recognition, neural networks, artificial intelligence, sentiment analysis, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program.
Author | : Stephane Hess |
Publisher | : Edward Elgar Publishing |
Total Pages | : 721 |
Release | : 2014-08-29 |
Genre | : Business & Economics |
ISBN | : 1781003157 |
Download Handbook of Choice Modelling Book in PDF, ePub and Kindle
The Handbook of Choice Modelling, composed of contributions from senior figures in the field, summarizes the essential analytical techniques and discusses the key current research issues. The book opens with Nobel Laureate Daniel McFadden calling for d