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D5.3 MHVM for CH and non-CH elements

Authors: Montes, Enrique;

D5.3 MHVM for CH and non-CH elements

Abstract

Deliverable D5.3 “MHVM for CH and non-CH elements” documents the work performed in Task 5.3 “Development of vulnerability modules” during the first fifteen months of the project’s duration. This deliverable includes the structure, purpose and use of Multi-Hazard Vulnerability Modules (MHVMs) for cultural heritage (CH) and non-CH assets within the HYPERION platform. In particular, MHVMs are software and data libraries with a standardizable format that encode the results of structural vulnerability assessment and enable a seamless integration of hazard simulators, structural analysis and consequence models into the HRAP model of CH and non-CH assets for each case-study city (Granada, Rhodes, Tønsberg, Venice). The assets are classified in Tier 1, Tier 2 and Tier 3 categories, depending on the modelling and monitoring resolution. For Tier 1, structure-specific models are developed and asset-specific fragility and consequence functions are used, while sensors are also employed to connect the model with reality. For the inventory in Tier 2, only important CH and non-CH assets are considered, typically to the same level of detail as Tier 1, but without any sensor input. For Tier 3, a generic model is provided and only a limited number of characteristic “index” assets that better represent the entire class are selected and generic fragility and consequence functions are employed for risk assessment. All potential hazards of importance to each asset are taken into account. The entire range of physical and weather stressors is applied to the structural models to assess the assets’ response and the associated damage. The results are encoded into the MHVM that describes each structure (Tier 1,2) or category of structures (Tier 3). In this way, the rehabilitation/emergency action planning is firmly supported by the assessment of vulnerability, loss and downtime.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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