Next-Generation Structural and Geotechnical Design: AI, Optimization, and Sustainable Solutions
Editat de Vedprakash C. Maralapalle, Jayatheja Muktinutalapati, Narala Gangadhara Reddy, Shiva Prashanth Kumar Kodicherla, Tammineni Gnananandaraoen Limba Engleză Hardback – 22 feb 2027
The book also puts an accent on practical implementation, specifically the creation of disaster-resilient infrastructure. The use of green concrete, geopolymers, and recycled materials are also discussed, showing how these solutions can help to minimize the environmental pollution of the construction process. The book strikes a good balance between the theoretical background and practical case studies that demonstrate that the engineering world is changing due to AI and optimization methods and techniques. These case studies are priceless lessons on the application of these technologies to solve some of the worldwide issues of concern, including global warming and resource efficiency.
Students, researchers and practitioners in civil engineering, structural design, and geotechnical engineering are the target audience of the book. It will attract individuals who want to incorporate the use of advanced technologies such as AI and optimization in their designs and those concerned with developing sustainable, disaster-resistant infrastructure.
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Specificații
ISBN-13: 9781041386643
ISBN-10: 1041386648
Pagini: 320
Ilustrații: 192
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041386648
Pagini: 320
Ilustrații: 192
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic, Postgraduate, Professional Practice & Development, and Professional ReferenceCuprins
Chapter 1. Introduction to Artificial Intelligence, Optimization, and Sustainability in Civil Engineering. Chapter 2. Fundamentals of Optimization in Structural and Geotechnical Design. Chapter 3. Metaheuristic Optimization Techniques for Structural and Geotechnical Applications (Genetic Algorithms, Particle Swarm Optimization, Ant Colony Optimization, and Hybrid Approaches). Chapter 4. Machine Learning Approaches for Predicting the Compressive Strength of Coal Gangue-Based Concrete. Chapter 5. Machine Learning-Based Prediction of Mechanical Performance of Engineered Cementitious Composite. Chapter 6. Artificial Intelligence and Machine Learning in Structural and Geotechnical Engineering: Modeling, Prediction, and Design Optimization. Chapter 7. Optimization of Concrete Properties Incorporating Dolomite Powder through a Multi-Criteria Decision-Making Framework. Chapter 8. Performance-Based and Reliability-Oriented Design of Stone Columns in Liquefiable Soils under Seismic Loading. Chapter 9. Climate-Resilient Slope Stability: A Machine Learning Method Based on Physics for Probabilistic Analysis in Severe Weather. Chapter 10. Reliability- and Performance-Based Design Optimization in Structural and Geotechnical Engineering. Chapter 11. AI-Enabled Digital Twin and Multi-Objective Optimization Framework for Sustainable Structural–Geotechnical Infrastructure Design: A Retaining Wall Case Application. Chapter 12. Infrastructure Resilience Optimization under Disasters and Climate Change Adaptation. Chapter 13. Model Validation, Data Quality, and Ethical Considerations in AI-Driven Structural and Geotechnical Engineering
Notă biografică
Vedprakash C. Maralapalle is an Associate Professor at L. S. Raheja School of Architecture, Mumbai, with over 12 years of professional experience in teaching and the civil engineering field. He holds a Ph.D. in Civil Engineering from NMIMS University, Mumbai, with research focused on the physical modelling and numerical analysis of vertical piles, along with an M.E. in Structural Engineering and a B.E. in Civil Engineering. He has also undertaken postdoctoral research in Civil Engineering at Amity University, Dubai. His areas of research interest include physical modelling in geotechnical engineering, structural engineering, concrete technology, artificial intelligence, and machine learning applications in civil engineering. He has extensive experience in structural/material testing consultancy, academic administration, research, and teaching. He has 42+ publications in Scopus-indexed and has filed 13 patents, of which 5 patents have been granted, demonstrating his significant contribution to research, innovation, and technological development.
Jayatheja Muktinutalapati an academician and researcher in Civil Engineering with a specialization in Geotechnical Engineering. He holds a Ph.D. in Civil Engineering from the Birla Institute of Technology and Science (BITS) -Pilani and a Master’s degree in Geotechnical Engineering from the JNTUH College of Engineering (Autonomous). He is currently serving as a Assistant Professor at the AMITY University Maharashtra, Mumbai. His research interests include in geotechnical and geoenvironmental engineering, Utilization of recycled waste materials, Retaining structure,AI - ML applications in civil engineering, Slope stabilization, and Climate Resilient construction
Narala Gangadhara Reddy is an academician and researcher in Civil Engineering with a specialization in Geotechnical Engineering. He holds a Ph.D. in Civil Engineering from the IIT Bhubaneswar and a Master’s degree in Geotechnical Engineering from the NIT Bhopal. He is currently serving as a Lecturer at the University of the South Pacific, Suva, Fiji. His research interests lie in geotechnical and geoenvironmental engineering, particularly the beneficial utilization of industrial waste materials, pavement geotechnics, climate-resilient infrastructure, sustainable soil stabilization, the application of biopolymers and biochar in landfill engineering, slope stabilization, and climate change adaptation.
Shiva Prashanth Kumar Kodicherla is an academician and researcher in Civil Engineering specializing in Geotechnical Engineering. He holds a Ph.D. in Civil Engineering (Geotechnical Engineering) from the University of Liverpool, UK, and an M.Tech. in Geoenvironmental Engineering from JNTUH, India. He is currently a Senior Lecturer in Geotechnical Engineering at the Namibia University of Science and Technology (NUST), Namibia. With over 14+ years of academic and research experience, Dr. Kodicherla has published more than 40+ peer-reviewed journal articles, along with conference papers, book chapters, and a textbook. His research interests include geotechnical and geoenvironmental engineering, computational modelling of granular materials, discrete element modelling, stability of tailings storage facility, and sustainable geotechnical engineering. He has established research collaborations with institutions and researchers in the UK, China, Australia, and the UAE.
Tammineni Gnananandarao is an Assistant Professor in the Department of Civil Engineering, Aditya University, Surampalem, Andhra Pradesh. He obtained his Ph.D. in Civil Engineering from NIT Hamirpur and holds an M.E. in Geotechnical Engineering and a B.E. in Civil Engineering from Andhra University. He has over 7 years of teaching experience and more than 4 years of research experience. His areas of expertise include Geotechnical Engineering, Soil Mechanics, Foundation Engineering, Ground Improvement, Geosynthetics, and the application of Artificial Intelligence and Machine Learning in Civil Engineering. Dr. Gnananandarao has 47 published research contributions, comprising 35 international journal articles, 13 book chapters, and 3 conference papers. His publications include research in reputed Scopus/SCI-indexed journals, including Q1 and Q2 journals. He has also served as a reviewer for several international journals and is currently serving as an Associate Editor of Sustainable Intelligent Infrastructure (ISSN: 3067-8137).
Jayatheja Muktinutalapati an academician and researcher in Civil Engineering with a specialization in Geotechnical Engineering. He holds a Ph.D. in Civil Engineering from the Birla Institute of Technology and Science (BITS) -Pilani and a Master’s degree in Geotechnical Engineering from the JNTUH College of Engineering (Autonomous). He is currently serving as a Assistant Professor at the AMITY University Maharashtra, Mumbai. His research interests include in geotechnical and geoenvironmental engineering, Utilization of recycled waste materials, Retaining structure,AI - ML applications in civil engineering, Slope stabilization, and Climate Resilient construction
Narala Gangadhara Reddy is an academician and researcher in Civil Engineering with a specialization in Geotechnical Engineering. He holds a Ph.D. in Civil Engineering from the IIT Bhubaneswar and a Master’s degree in Geotechnical Engineering from the NIT Bhopal. He is currently serving as a Lecturer at the University of the South Pacific, Suva, Fiji. His research interests lie in geotechnical and geoenvironmental engineering, particularly the beneficial utilization of industrial waste materials, pavement geotechnics, climate-resilient infrastructure, sustainable soil stabilization, the application of biopolymers and biochar in landfill engineering, slope stabilization, and climate change adaptation.
Shiva Prashanth Kumar Kodicherla is an academician and researcher in Civil Engineering specializing in Geotechnical Engineering. He holds a Ph.D. in Civil Engineering (Geotechnical Engineering) from the University of Liverpool, UK, and an M.Tech. in Geoenvironmental Engineering from JNTUH, India. He is currently a Senior Lecturer in Geotechnical Engineering at the Namibia University of Science and Technology (NUST), Namibia. With over 14+ years of academic and research experience, Dr. Kodicherla has published more than 40+ peer-reviewed journal articles, along with conference papers, book chapters, and a textbook. His research interests include geotechnical and geoenvironmental engineering, computational modelling of granular materials, discrete element modelling, stability of tailings storage facility, and sustainable geotechnical engineering. He has established research collaborations with institutions and researchers in the UK, China, Australia, and the UAE.
Tammineni Gnananandarao is an Assistant Professor in the Department of Civil Engineering, Aditya University, Surampalem, Andhra Pradesh. He obtained his Ph.D. in Civil Engineering from NIT Hamirpur and holds an M.E. in Geotechnical Engineering and a B.E. in Civil Engineering from Andhra University. He has over 7 years of teaching experience and more than 4 years of research experience. His areas of expertise include Geotechnical Engineering, Soil Mechanics, Foundation Engineering, Ground Improvement, Geosynthetics, and the application of Artificial Intelligence and Machine Learning in Civil Engineering. Dr. Gnananandarao has 47 published research contributions, comprising 35 international journal articles, 13 book chapters, and 3 conference papers. His publications include research in reputed Scopus/SCI-indexed journals, including Q1 and Q2 journals. He has also served as a reviewer for several international journals and is currently serving as an Associate Editor of Sustainable Intelligent Infrastructure (ISSN: 3067-8137).
Descriere
This book addresses the new applications of Artificial Intelligence (AI) and optimization problems to structural and geotechnical engineering and provides a broad perspective on the current design practice.