Hadi FAGHİHMALEKİ, Hamid ROOSTA, Ali Hooshmand AİNi, Elmira Khaksar NAJAFİ

Using Fragility Curves for the Evaluation of Seismic Improvement of Steel Moment Frames

Bu çağlarda binalarin titreşimle iyi Olması için çoklu yollar var. Bu yollardan biri binani yan sertlikinin çok olmasıdır buna göre perde yada canlandırıcı yeni yapi elemanlari çok yaygındır. Bu çalişmada uç yapida dört,yedi,ve oniki. Katlarda çelik moment cevcevleri kalaninlmiştir ki her üç plani ortak zemindedir eski versiyonu bina titreşimi güçlendirilmiş duzenleme (UBC 1997code) tasarlanmıştır ki FEMA 356 düzenlemesine göre binalar çok savunmasız dir ve seçilmişdir binanin titreşim gelişmesine göre CFB ve BRB ve perde bulabilmiştir sismik bina performans düzeyini ve geliştirilmiş binalari eğer ile kirilgan olduğunu binalar karşılaşırmış. PGA deprem şiddet indeksi seçilmiştir ve sonunda sismik kırılma ayarlari uygun yaralanma şiddeti şeçilerek asil bina ve geliştirilmiş bina karşılaştırilmiş ve sonuçları araştırılmıştir.

Using Fragility Curves for the Evaluation of Seismic Improvement of Steel Moment Frames

There are numerous methods for buildings' seismic improvement, one of which is to increase the lateral force demand. To do so, adding different types of frames or a shear wall in structures is quite common as a new structural element. The present study selects three steel moment frame structures with four, seven, and twelve stories, all of which have similar floor plans and are designed based on the old seismic design code (UBC 1997 code), which is vulnerable in accordance with FEMA 356 code. For seismic improvement Concentrically Braced Frame (CBF), Buckling Restrained Brace (BRB), and shear wall have been used. The seismic performance level of the primary structure and improved structures were compared by means of seismic fragility curve. Earthquake intensity index is "PGA". Finally, by selecting an appropriate damage index, fragility curves of the original structure as well as the improved structures were presented and compared with a normal log distribution, the results of which was analyzed.

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