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| Titel |
Flood hazards and masonry constructions: a probabilistic framework for damage, risk and resilience at urban scale |
| VerfasserIn |
A. Mebarki, N. Valencia, J. L. Salagnac, B. Barroca |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 12, no. 5 ; Nr. 12, no. 5 (2012-05-29), S.1799-1809 |
| Datensatznummer |
250010841
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| Publikation (Nr.) |
 copernicus.org/nhess-12-1799-2012.pdf |
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| Zusammenfassung |
This paper deals with the failure risk of masonry constructions under the
effect of floods. It is developed within a probabilistic framework, with loads
and resistances considered as random variables. Two complementary
approaches have been investigated for this purpose:
– a global approach based on combined effects of several governing parameters with individual weighted contribution (material quality and geometry, presence and distance between columns, beams, openings, resistance of the soil and its slope. . .),
– and a reliability method using the failure mechanism of masonry walls standing out-plane pressure.
The evolution of the probability of failure of masonry constructions
according to the flood water level is analysed.
The analysis of different failure probability scenarios for masonry walls
is conducted to calibrate the influence of each "vulnerability governing
parameter" in the global approach that is widely used in risk assessment at
the urban or regional scale.
The global methodology is implemented in a GIS that provides the spatial
distribution of damage risk for different flood scenarios. A real case is
considered for the simulations, i.e. Cheffes sur Sarthe (France), for which
the observed river discharge, the hydraulic load according to the Digital
Terrain Model, and the structural resistance are considered as random
variables. The damage probability values provided by both approaches are
compared. Discussions are also developed about reduction and mitigation of
the flood disaster at various scales (set of structures, city, region) as
well as resilience. |
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