Search results for "Annual loss"

showing 2 items of 2 documents

Traditional vs. sliding-joint masonry infilled frames: Seismic reliability and EAL

2020

Abstract In reinforced concrete (RC) multi-storey buildings, the important role of the seismic interaction of structural frames with masonry infills has been revealed by several earthquakes and investigated by many authors. Recently, several innovative infill solutions have been proposed to mitigate such interaction, which could result in widespread damage in both the masonry and the RC structure and sometimes jeopardize the building stability and the occupants’ safety. One solution consists in the partitioning of the masonry infill into several sub-panels, relatively sliding along specific joints. This paper investigates the seismic assessment of this technological solution in the framewor…

Performance based earthquake engineeringEarthquake engineeringInfilled framesSeismic reliabilitybusiness.industryFrame (networking)Probabilistic logicExpected annual lossExpected annual loss; Infilled frames; Performance based earthquake engineering; Seismic reliability; Sliding-joints infills02 engineering and technologyStructural engineeringMasonry021001 nanoscience & nanotechnology020303 mechanical engineering & transportsFragility0203 mechanical engineeringInfillJoint (building)Sliding-joints infills0210 nano-technologybusinessReliability (statistics)GeologyEarth-Surface ProcessesProcedia Structural Integrity
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Changing European storm loss potentials under modified climate conditions according to ensemble simulations of the ECHAM5/MPI-OM1 GCM

2007

Abstract. A simple storm loss model is applied to an ensemble of ECHAM5/MPI-OM1 GCM simulations in order to estimate changes of insured loss potentials over Europe in the 21st century. Losses are computed based on the daily maximum wind speed for each grid point. The calibration of the loss model is performed using wind data from the ERA40-Reanalysis and German loss data. The obtained annual losses for the present climate conditions (20C, three realisations) reproduce the statistical features of the historical insurance loss data for Germany. The climate change experiments correspond to the SRES-Scenarios A1B and A2, and for each of them three realisations are considered. On average, insure…

[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere021110 strategic defence & security studies010504 meteorology & atmospheric sciences0211 other engineering and technologies[SDU.STU]Sciences of the Universe [physics]/Earth SciencesClimate changeStormGCM transcription factors02 engineering and technology01 natural sciencesWind speed13. Climate actionClimatologyGeneral Earth and Planetary SciencesEnvironmental science[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentAnnual lossNorth seaMaximaIntensity (heat transfer)0105 earth and related environmental sciencesNatural Hazards and Earth System Sciences
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