APPROPRIATE INTENSITY MEASURES FOR NON-LINEAR BEHAVIOR EVALUATION OF DUAL STEEL SHEAR WALL SYSTEM

Message:
Abstract:

In the past decades, the use of steel plate shear wallsystems is on the rise in new,existing buildings toresist against lateral forces. Dual steel shear wall system,has many advantages in comparison with the conventionallateral load systems. A four story frame is selectedin 4-storey building with a height of 3.5 meters peroor. This building loading is according to 2800 standardand seismic design by AISC360-10 cod,AISCDesign Guide 20. To achieve the full range of structuralresponse under earthquake in incremental dynamic analysis,Record intensity is applied to the structure to increasestep by step. For this purpose, it is necessary toselect the parameters as seismic intensity measure (IM)that can be linked by a scaling factor to the originalrecords. Three four story frame models with di erentdynamic characteristics are subjected to an ensemble of20 far- eld earthquake ground motion records with amagnitude of 6 to 5.7 on the soil type II. This articleis studied based on 25 candidate intensity measures formodels in di erent dynamic characteristics. Accordinglytwo characteristics of eciency,suciency were determinedusing regression analysis. Engineering demandparameters, which appropriately characterize the seismicresponse of the dual steel shear wall system,itsrelated damage, are selected. Di erent proposed IMsare investigated,classi ed based on their eciencyand suciency in predicting engineering demand parameters.The optimal IMs for estimating dual steel shearwall system response due to seismic excitation are identi- ed based on both eciency,suciency. The resultsshow that the appropriate intensity measure is dependenton the dynamic characteristics of structures. Forselecting the models with short period, peak ground velocityis the optimal IMs based on both eciency andsuciency, for models with average,big period, theoptimal IM is PGV,PGA.

Language:
Persian
Published:
Sharif Journal Civil Engineering, Volume:34 Issue: 3, 2018
Pages:
61 to 72
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