+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering

  • Book

  • March 2022
  • Elsevier Science and Technology
  • ID: 5410241

Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering illustrates the concepts of risk, reliability analysis, its estimation, and the decisions leading to sustainable development in the field of civil and environmental engineering. The book provides key ideas on risks in performance failure and structural failures of all processes involved in civil and environmental systems, evaluates reliability, and discusses the implications of measurable indicators of sustainability in important aspects of multitude of civil engineering projects. It will help practitioners become familiar with tolerances in design parameters, uncertainties in the environment, and applications in civil and environmental systems.

Furthermore, the book emphasizes the importance of risks involved in design and planning stages and covers reliability techniques to discover and remove the potential failures to achieve a sustainable development.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

1. Probability 2. Failure 3. Monte Carlo simulation 4. Artificial Intelligence 5. Big data 6. Structural sustainability 7. Environmental sustainability 8. Geotechnical sustainability 9. Social sustainability

Authors

Thendiyath Roshni Assistant Professor, National Institute of Technology Patna, Bihar, India. Thendiyath Roshni is Assistant Professor at National Institute of Technology Patna, Bihar, India. She obtained her PhD in water resources from the University of Pisa, Italy. She teaches undergraduate and post-graduate students, supervises B.Tech., M.Tech. and Ph.D. students' research, and carries out sponsored research and industrial consultancies, together with other departmental and institutional responsibilities. She published journal articles, review articles, conference papers and book chapters. Pijush Samui Associate Professor, National Institute of Technology, Patna, India. Dr. Pijush Samui is an Associate Professor, in the Department of Civil Engineering, at NIT Patna, India, and an Adjunct Professor at Ton Duc Thang University in Ho Chi Minh City, Vietnam. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore in 2008. His research interests include geohazards; earthquake geotechnical engineering; concrete technology, pile foundation and slope stability and application of AI in civil engineering. He has published more than 21 books, 32 book chapters and over 200 research papers in high impact factor journals as well as 30 conference proceedings. Dieu Tien Bui Professor, Geographic Information System group, University of South-Eastern Norway, Norway. Dieu Tien Bui is Professor in GIS, in the Department of Business and IT at the University of South-Eastern Norway, Norway. He obtained a Master of Engineering, at Hanoi University of Mining and Geology, Hanoi, Vietnam, a PhD at the Department of Mathematical Sciences and Technology (IMT), Norwegian University, and was postdoctoral researcher in the same department. His research interests include GIS, remote sensing, artificial intelligence and machine learning. He published journal and review articles, and book chapters. . Dookie Kim Professor, Department of Civil and Environmental Engineering, Kongju National University, Republic of Korea. Dookie Kim is a Professor in the Department of Civil and Environmental Engineering, Kongju National University ,1223-24 Cheonan-daero, 31080, Republic of Korea. Professor Kim has a broad experience in structural dynamics. He published journal articles, conference papers, book chapters and 2 books. Rahman Khatibi Researcher, GTEV-ReX Ltd, Swindon, UK. Rahman Khatibi is a dedicated researcher, professional engineer and manager with an over 30 years successful track record in managing and developing strategies for water systems covering: research, presenting training courses, lecturing (part-time), design, modelling, developing software and writing proposals. He contributed to (i) generalise theory of evolution, (ii) arithmetic calculus, (iii) risk aggregation and (iv) inclusive multiple models for artificial intelligence. He worked in the water/environmental industry specialising on modelling water waves in open channels and closed conduits, as well as using artificial intelligence techniques, chaos/catastrophe theories and other time series analysis techniques. Currently he is engaged in scholarly research in integrating evolutionary thinking, systems science and complexity science together towards a model of GTE.