Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering. Questo articolo non è disponibile.Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering

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.

Dr. Roshni Thendiyath is presently working as an Associate Professor in the Department of Civil Engineering, National Institute of Technology Patna with nearly 13 years of successful track record in research areas related to climate change, water security, soft computing applications, hydrological modeling, and river hydraulics. She is a recipient of an Italian Ministry Scholarship for completing Doctoral studies. Dr. Roshni worked as an editor of six edited books, of which one edited book is by Elsevier Publishers and the other 5 edited books are by Springer Publishers. She has published more than 70 research papers in International Journals. Also, she is the reviewer of several International journal papers. She has collaborations with National and International researchers working in related fields. Dr. Roshni is a member of several national and international professional societies.

Dr. Samui is an Associate Professor in the Department of Civil Engineering at NIT Patna, India. He received his PhD in Geotechnical Engineering from the Indian Institute of Science Bangalore, India, in 2008. His research interests include geohazard, earthquake engineering, concrete technology, pile foundation and slope stability, and application of AI for solving different problems in civil engineering. Dr. Samui is a repeat Elsevier editor but also a prolific contributor to journal papers, book chapters, and peer-reviewed conference proceedings.

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 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 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.