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Climate Adaptation Engineering - Risks and Economics for Infrastructure Decision-Making (Paperback): Emilio Bastidas-Arteaga,... Climate Adaptation Engineering - Risks and Economics for Infrastructure Decision-Making (Paperback)
Emilio Bastidas-Arteaga, Mark G. Stewart
R3,022 Discovery Miles 30 220 Ships in 10 - 15 working days

Climate Adaptation Engineering defines the measures taken to reduce vulnerability and increase the resiliency of built infrastructure. This includes enhancement of design standards, structural strengthening, utilisation of new materials, and changes to inspection and maintenance regimes, etc. The book examines the known effects and relationships of climate change variables on infrastructure and risk-management policies. Rich with case studies, this resource will enable engineers to develop a long-term, self-sustained assessment capacity and more effective risk-management strategies. The book's authors also take a long-term view, dealing with several aspects of climate change. The text has been written in a style accessible to technical and non-technical readers with a focus on practical decision outcomes.

Engineering for Extremes - Decision-Making in an Uncertain World (Hardcover, 1st ed. 2022): Mark G. Stewart, David V. Rosowsky Engineering for Extremes - Decision-Making in an Uncertain World (Hardcover, 1st ed. 2022)
Mark G. Stewart, David V. Rosowsky
R4,659 Discovery Miles 46 590 Ships in 10 - 15 working days

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.

Engineering for Extremes - Decision-Making in an Uncertain World (1st ed. 2022): Mark G. Stewart, David V. Rosowsky Engineering for Extremes - Decision-Making in an Uncertain World (1st ed. 2022)
Mark G. Stewart, David V. Rosowsky
R4,737 Discovery Miles 47 370 Ships in 18 - 22 working days

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.

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