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Integrated Disaster Science and Management: Global Case Studies in
Mitigation and Recovery bridges the gap between scientific research
on natural disasters and the practice of disaster management. It
examines natural hazards, including earthquakes, landslides and
tsunamis, and uses integrated disaster management techniques,
quantitative methods and big data analytics to create early warning
models to mitigate impacts of these hazards and reduce the risk of
disaster. It also looks at mitigation as part of the recovery
process after a disaster, as in the case of the Nepal earthquake.
Edited by global experts in disaster management and engineering,
the book offers case studies that focus on the critical phases of
disaster management.
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.
New Materials in Civil Engineering provides engineers and
scientists with the tools and methods needed to meet the challenge
of designing and constructing more resilient and sustainable
infrastructures. This book is a valuable guide to the properties,
selection criteria, products, applications, lifecycle and
recyclability of advanced materials. It presents an A-to-Z approach
to all types of materials, highlighting their key performance
properties, principal characteristics and applications. Traditional
materials covered include concrete, soil, steel, timber, fly ash,
geosynthetic, fiber-reinforced concrete, smart materials, carbon
fiber and reinforced polymers. In addition, the book covers
nanotechnology and biotechnology in the development of new
materials.
The disciplines of science and engineering rely heavily on the
forecasting of prospective constraints for concepts that have not
yet been proven to exist, especially in areas such as artificial
intelligence. Obtaining quality solutions to the problems presented
becomes increasingly difficult due to the number of steps required
to sift through the possible solutions, and the ability to solve
such problems relies on the recognition of patterns and the
categorization of data into specific sets. Predictive modeling and
optimization methods allow unknown events to be categorized based
on statistics and classifiers input by researchers. The Handbook of
Research on Predictive Modeling and Optimization Methods in Science
and Engineering is a critical reference source that provides
comprehensive information on the use of optimization techniques and
predictive models to solve real-life engineering and science
problems. Through discussions on techniques such as robust design
optimization, water level prediction, and the prediction of human
actions, this publication identifies solutions to developing
problems and new solutions for existing problems, making this
publication a valuable resource for engineers, researchers,
graduate students, and other professionals.
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.
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