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Grant: Discovery Grants Program - Individual

University of Western Ontario

$50,000.00

Probabilistic Modeling of Spatio-temporally Varying Natural Hazard and Risk

EF 2020-21

Résumé
Large earthquakes, strong winds and heavy snowfalls can cause fatalities, damage to structures and infrastructure systems, and interrupt business. The structural design codes are used to ensure that the failure probability of a structure due to natural loads is below a tolerable level. However, public reaction to collapse of multiple buildings under extreme natural events indicates that design by considering safety of a single structure alone is important, but may not be in the best societal interest for a portfolio of spatially distributed buildings and for infrastructure with spatially extended footprint. Inhomogeneity in climate and tectonic characteristics results in the natural hazards and loads acting on houses and buildings being spatio-temporally varying and correlated. Probabilistic quantification of the hazards influences the assessed risk and the design code updating. The impact of hazards on the portfolio of buildings or spatially distributed infrastructure systems, such as a power transmission tower-line system, needs to be appraised for successful implementation of policies to mitigate and reduce catastrophic losses. The appraisal promotes excellence in design code making, and optimal resource allocation to reduce natural disasters, maintain our standard of living, and improve societal resilience. The proposed research program deals with probabilistic modeling of spatio-temporally varying hazards and risk due to extreme wind, snow and earthquake events. More specifically, the program is to: A) map wind and snow hazards for Canada and Canadian design practice, and develop spatial correlation models for extreme winds and ground snow loads; B) Model and simulate tri-directional (3D) seismic ground motions fields conditioned on actual ground motion records and matching target spatial correlation and coherency; C) Estimate the risk to spatially distributed buildings and infrastructure under geographically varying natural hazards; and D) calibrate codified design criteria based on reliability and risk of a group of structures. The novelties of the proposal include the development of new wind and snow hazard maps for Canada using advanced techniques, the advancement of new models and algorithms for simulating conditional 3D ground motion fields with realistic spatial correlation and coherency, the quantitative reliability and risk assessment of groups of structures or spatially distributed infrastructure system under realistic temporally and geographically varying natural hazards, and the incorporation of advanced decision theory under uncertainty for making structural design codes. The funding requested for the research program is to support and train graduate students who will contribute to the society's effort to reduce natural disasters, and to build and maintain a resilient society under the threat of spatio-temporally varying natural hazards.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2016-04814
Name nom
Hong, Hanping
Department département
Civil and Environmental Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2016
Award amount
50000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
601
Area of application group en
Construction, urban and rural planning
Area of application group fr
Construction, urbanisme et aménagement rural
Area of application en
Structural engineering
Area of application fr
Génie des charpentes
Research subject code
1101
Research subject group en
Structural engineering
Research subject group fr
Génie des structures
Research subject en
Structural loads and safety
Research subject fr
Charges structurales et sécurité
Installment
inst:5-6
Partie
2
Nb partie
6
Application title
Probabilistic Modeling of Spatio-temporally Varying Natural Hazard and Risk
Keyword
NSERC
Application summary
Large earthquakes, strong winds and heavy snowfalls can cause fatalities, damage to structures and infrastructure systems, and interrupt business. The structural design codes are used to ensure that the failure probability of a structure due to natural loads is below a tolerable level. However, public reaction to collapse of multiple buildings under extreme natural events indicates that design by considering safety of a single structure alone is important, but may not be in the best societal interest for a portfolio of spatially distributed buildings and for infrastructure with spatially extended footprint. Inhomogeneity in climate and tectonic characteristics results in the natural hazards and loads acting on houses and buildings being spatio-temporally varying and correlated. Probabilistic quantification of the hazards influences the assessed risk and the design code updating. The impact of hazards on the portfolio of buildings or spatially distributed infrastructure systems, such as a power transmission tower-line system, needs to be appraised for successful implementation of policies to mitigate and reduce catastrophic losses. The appraisal promotes excellence in design code making, and optimal resource allocation to reduce natural disasters, maintain our standard of living, and improve societal resilience. The proposed research program deals with probabilistic modeling of spatio-temporally varying hazards and risk due to extreme wind, snow and earthquake events. More specifically, the program is to: A) map wind and snow hazards for Canada and Canadian design practice, and develop spatial correlation models for extreme winds and ground snow loads; B) Model and simulate tri-directional (3D) seismic ground motions fields conditioned on actual ground motion records and matching target spatial correlation and coherency; C) Estimate the risk to spatially distributed buildings and infrastructure under geographically varying natural hazards; and D) calibrate codified design criteria based on reliability and risk of a group of structures. The novelties of the proposal include the development of new wind and snow hazard maps for Canada using advanced techniques, the advancement of new models and algorithms for simulating conditional 3D ground motion fields with realistic spatial correlation and coherency, the quantitative reliability and risk assessment of groups of structures or spatially distributed infrastructure system under realistic temporally and geographically varying natural hazards, and the incorporation of advanced decision theory under uncertainty for making structural design codes. The funding requested for the research program is to support and train graduate students who will contribute to the society's effort to reduce natural disasters, and to build and maintain a resilient society under the threat of spatio-temporally varying natural hazards.