Engineering for Extremes

Engineering for Extremes

Author: Mark G. Stewart

Publisher: Springer Nature

Published: 2021-12-16

Total Pages: 449

ISBN-13: 3030850188

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The volume explains how risk and decision-making analytics can be applied to the wicked problem of protecting infrastructure and society from extreme events. There is increasing research that takes into account the risks associated with the timing and severity of extreme events in engineering to reduce the vulnerability or increase the resiliency of infrastructure. "Engineering for extremes" is defined as measures taken to reduce the vulnerability or increase the resiliency of built infrastructure to climate change, hurricanes, storms, floods, earthquakes, heat waves, fires, and malevolent and abnormal events that include terrorism, gas explosions, vehicle impact and vehicle overload. The book introduces the key concepts needed to assess the economic and social well-being risks, costs and benefits of infrastructure to extreme events. This includes hazard modelling (likelihood and severity), infrastructure vulnerability, resilience or exposure (likelihood and extent of damage), social and economic loss models, risk reduction from protective measures, and decision theory (cost-benefit and utility analyses). Case studies authored by experts from around the world describe the practical aspects of risk assessment when deciding on the most cost-efficient measures to reduce infrastructure vulnerability to extreme events for housing, buildings, bridges, roads, tunnels, pipelines, and electricity infrastructure in the developed and developing worlds.


Multi-Criteria Decision-Making Analysis for Civil Engineering Applications

Multi-Criteria Decision-Making Analysis for Civil Engineering Applications

Author: Hossein Bonakdari

Publisher: Elsevier

Published: 2024-10-01

Total Pages: 0

ISBN-13: 0443222835

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Multi-Criteria Decision-Making Analysis for Civil Engineering Applications helps civil engineers by outlining state-of-the-art tactics for quantitative decision-making to optimally select the appropriate approach when faced with operational issues, or to prioritize projects among multiple options. Authored by recognized experts in the field, the volume proves to be a balanced reference book that’s essential not just for civil engineers, but also for a wide variety of audiences in interconnected disciplines. Decision-making is a key factor to achieve success in any discipline, especially in a field which requires handling large amounts of information and is based on calculations as civil engineering. Most processes and procedures are a compendium of many different tasks and requirements of each project under development, also involving a great variety of specific factors and numerical values to be considered. Making decisions in such environments can often be an arduous endeavor, and that is why the need for analytical criteria capable of assisting with untangling complex scenarios has arisen preponderantly. Presents a systematic framework of methodological solutions helping readers to make decisions quickly and accurately Features several real-life case studies which facilitate understanding and provide reliable actionable guidance Accompanied by an online companion site which includes Excel worksheets that demonstrate step-by-step processes, numerical simulations, and worked-out examples


Applied Civil Engineering Risk Analysis

Applied Civil Engineering Risk Analysis

Author: Robb Eric S. Moss

Publisher: Springer

Published: 2019-07-31

Total Pages: 180

ISBN-13: 3030226808

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This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial variabililty, along with additional example problems throughout. The book provides readers with the tools needed to determine the probability of failure, and when multiplied by the consequences of failure, illustrates how to assess the risk of civil engineering problems. Presenting methods for quantifying uncertainty that exists in engineering analysis and design, with an emphasis on fostering more accurate analysis and design, the text is ideal for students and practitioners of a range of civil engineering disciplines. Expands on the class-tested pedagogy from the first edition with more material and more examples; Broadens understanding with simulations coded both in Matlab and in R; Features new chapters on spatial variability and Bayesian methods; Emphasizes techniques for estimating the influence of uncertainty on the probability of failure


Decision Models in Engineering and Management

Decision Models in Engineering and Management

Author: Patricia Guarnieri

Publisher: Springer

Published: 2015-01-05

Total Pages: 322

ISBN-13: 3319119494

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Providing a comprehensive overview of various methods and applications in decision engineering, this book presents chapters written by a range experts in the field. It presents conceptual aspects of decision support applications in various areas including finance, vendor selection, construction, process management, water management and energy, agribusiness , production scheduling and control, and waste management. In addition to this, a special focus is given to methods of multi-criteria decision analysis. Decision making in organizations is a recurrent theme and is essential for business continuity. Managers from various fields including public, private, industrial, trading or service sectors are required to make decisions. Consequently managers need the support of these structured methods in order to engage in effective decision making. This book provides a valuable resource for graduate students, professors and researchers of decision analysis, multi-criteria decision analysis and group decision analysis. It is also intended for production engineers, civil engineers and engineering consultants.


Civil Engineering and Symmetry

Civil Engineering and Symmetry

Author: Edmundas Kazimieras Zavadskas

Publisher: MDPI

Published: 2019-06-14

Total Pages: 198

ISBN-13: 3039210025

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A topic of utmost importance in civil engineering is finding optimal solutions throughout the life cycle of buildings and infrastructural objects, including their design, manufacturing, use, and maintenance. Operational research, management science, and optimization methods provide a consistent and applicable groundwork for engineering decision-making. These topics have received the interest of researchers and, after a rigorous peer-review process, eight papers have been published in this Special Issue. The articles in this Printed Edition demonstrate how solutions in civil engineering, which bring economic, social, and environmental benefits, are obtained through a variety of methodologies and tools. Usually, decision-makers need to take into account not just a single criterion, but several different criteria and, therefore, multi-criteria decision-making (MCDM) approaches have been suggested for application in five of the published papers; the rest of the papers apply other research methods. Most approaches suggested decision models under uncertainty, proposing hybrid MCDM methods in combination with fuzzy or rough set theory, as well as D-numbers. The application areas of the proposed MCDM techniques mainly cover production/manufacturing engineering, logistics and transportation, and construction engineering and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.


Quantitative Risk Management and Decision Making in Construction

Quantitative Risk Management and Decision Making in Construction

Author: Amarjit Singh

Publisher: ASCE Press

Published: 2017

Total Pages: 0

ISBN-13: 9780784414637

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Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects.


Construction Risk Management Decision Making

Construction Risk Management Decision Making

Author: Alex C. Arthur

Publisher: John Wiley & Sons

Published: 2021-12-13

Total Pages: 436

ISBN-13: 1119693004

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CONSTRUCTION RISK MANAGEMENT DECISION MAKING Explores the relevance of systems thinking and behavioral science in construction risk management Effective risk management is a vital component of all successful construction projects. Although quantitative tools for evaluating data and minimizing risk are readily available, construction managers commonly adopt a more innate, experience-based approach. In Construction Risk Management Decision Making, project manager and senior consultant Alex C. Arthur provides step-by-step advice on assessing and prioritizing risk using qualitative decision-making systems in the construction industry. Incorporating key theories and concepts from systems thinking and behavioral science, this highly practical guide focuses on the behavior patterns of real people in the industry, rather than complex quantitative techniques and data. Concise, easy-to-understand chapters highlight the current practices of construction risk management while helping readers view risk and decision making from a broader perspective. Throughout the book, the author presents invaluable insights into the ways construction professionals think and behave in the real world. Addresses the actual risk management practices of construction professionals Applies human behavioral theories to the study of construction risk management decision making Illustrates the highly intuitive approaches prevalent in various construction projects Features real-life case studies and practical examples throughout Construction Risk Management Decision Making is an excellent textbook for advanced students in project management, engineering, construction, and surveying courses, and a must-have guide for practitioners of construction management, surveying, and architecture.