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| Titel |
Seismic vulnerability of the Himalayan half-dressed rubble stone masonry structures, experimental and analytical studies |
| VerfasserIn |
N. Ahmad, Q. Ali, M. Ashraf, B. Alam, A. Naeem |
| 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. 11 ; Nr. 12, no. 11 (2012-11-21), S.3441-3454 |
| Datensatznummer |
250011201
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| Publikation (Nr.) |
 copernicus.org/nhess-12-3441-2012.pdf |
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| Zusammenfassung |
| Half-Dressed rubble stone (DS) masonry structures as found in the Himalayan
region are investigated using experimental and analytical studies.
The experimental study included a shake table test on a one-third scaled structural
model, a representative of DS masonry structure employed for public critical
facilities, e.g. school buildings, offices, health care units, etc. The aim
of the experimental study was to understand the damage mechanism of the
model, develop damage scale towards deformation-based assessment and
retrieve the lateral force-deformation response of the model besides its
elastic dynamic properties, i.e. fundamental vibration period and elastic
damping. The analytical study included fragility analysis of building prototypes
using a fully probabilistic nonlinear dynamic method. The
prototypes are designed as SDOF systems assigned with lateral,
force-deformation constitutive law (obtained experimentally). Uncertainties in
the constitutive law, i.e. lateral stiffness, strength and deformation
limits, are considered through random Monte Carlo simulation. Fifty
prototype buildings are analyzed using a suite of ten natural accelerograms
and an incremental dynamic analysis technique. Fragility and vulnerability
functions are derived for the damageability assessment of structures,
economic loss and casualty estimation during an earthquake given the ground
shaking intensity, essential within the context of risk assessment of
existing stock aiming towards risk mitigation and disaster risk reduction. |
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