A probabilistic decision framework for MULti HAzard RESilience of residential bu...
A probabilistic decision framework for MULti HAzard RESilience of residential building portfolios subjected to floods and landslides
The recent catastrophic flood and landslide events triggered by heavy rainfalls have shown how vulnerable communities can be to natural disasters. To mitigate the impacts of natural disasters on communities, disaster resilience as...
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Información proyecto MulHaRes
Duración del proyecto: 30 meses
Fecha Inicio: 2020-03-18
Fecha Fin: 2022-09-28
Líder del proyecto
OZYEGIN UNIVERSITESI
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
145K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
The recent catastrophic flood and landslide events triggered by heavy rainfalls have shown how vulnerable communities can be to natural disasters. To mitigate the impacts of natural disasters on communities, disaster resilience assessment and planning are required for the built-environment. The proposed research aims to develop a decision framework to support multi-hazard resilience of residential building stocks under rainfall-triggered floods and flow-type landslides (i.e., debris, mud-flows), considering two refinement levels in the framework: individual buildings vs. building portfolios in a community. The effects of uncertainties and spatial correlations in hazard demand and common building configurations and practices will be reflected in an aggregated assessment of multi-hazard resilience of building portfolios. The building portfolios that will be focused in the proposed methodology are residential buildings within a typical EU community, considering residential construction practice in Europe. However, the proposed framework can be adapted for resilience assessment and planning for other building portfolios involving different occupancies. The fellow Dr. Deniz, with her research experience in community disaster resilience and her firm-background in civil engineering, and reliability and statistical tools, has the required technical expertise to achieve the goal by conducting state-of-the-art robust analyses for the proposed project A probabilistic decision framework for MULti-HAzard RESilience of residential building portfolios subjected to floods and landslides. The proposed decision framework will greatly contribute to different stakeholders seeking to find optimal mitigation strategy for homes and to improve insurance portfolio risk policy, public policy and disaster management plans. This fellowship will support Dr. Deniz to establish an internationally well-recognized academic career and become one of the leading people on this particular research.