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The effects of changing story number and structural footprint area on building performance in reinforced-concrete buildings

Yıl 2020, Cilt: 10 Sayı: 1, 30 - 34, 18.06.2020
https://doi.org/10.17678/beuscitech.725367

Öz

Kaynakça

  • Ademovic, N., Hrasnica, M., Oliveira, D.V., 2013. Pushover analysis and failure pattern of a typical masonry residential building in Bosnia and Herzegovina. Engineering Structures, 50, 13-29.
  • Antoniou, S., Pinho, R., 2003. Seismostruct – Seismic Analysis program by Seismosoft. Technical manual and user manual.
  • Chopra, A.K., Goel, R.K., 2002. A modal pushover analysis procedure for estimating seismic demands for buildings. Earthquake Engineering & Structural Dynamics, 31(3), 561-582.
  • Estêvão, J. M., Oliveira, C. S., 2015. A new analysis method for structural failure evaluation. Engineering Failure Analysis, 56, 573-584.
  • Hadzima-Nyarko, M., KalmanSipos, T., 2017. Insights from existing earthquake loss assessment research in Croatia. Earthquakes and Structures, 13(4), 365-375.
  • İlerisoy, Z.Y., Tuna, M.E. 2018. Effects of plane dimensions and number of storeys on the cost of rectangular-plane buildings constructed with tunnel Form Megaron, 13(4), 559-568.
  • Işık, E., 2016. Consistency of the rapid assessment method for reinforced concrete buildings. Earthquakes and Structures, 11(5), 873-885.
  • Işık, E., Karaşin, İB., 2020, The mutual interaction between the structural footprint and number of floors in steel structures . Unpublished article.
  • Işık, E., Kutanis M., 2015. Performance based assessment for existing residential buildings in Lake Van basin and seismicity of the region. Earthquakes and Structures, 9(4), 893-910.
  • Işık, E., Özdemir, M., 2017. Performance based assessment of steel frame structures by different material models. International Journal of Steel Structures, 17(3), 1021-1031.
  • Işık, E., Özdemir, M., Karaşin, İ. B., 2018. Performance analysis of steel structures with A3 irregularities. International Journal of Steel Structures, 18(3), 1083-1094.
  • Kutanis, M., Boru, E. O., Işık, E., 2017. Alternative instrumentation schemes for the structural identification of the reinforced concrete field test structure by ambient vibration measurements. KSCE Journal of Civil Engineering, 21(5), 1793-1801.
  • Özdemir, M., Işık, E., Ülker, M., 2016. Performance evaluation of reinforced concrete buildings with different story numbers. BEU Journal of Science, 5(2), 183-190.
  • Saidu, İ., Alumbugu, P.O., Abdulazeez, A., Ola-Awo, W.A., 2015. Assessment of the effect of plan shapes on cost of institutional buildings in Nigeria, International Refereed Journal of Engineering and Science (IRJES), 4(3), 39-50.
  • SeismoStruct, 2016. A computer program for static and dynamic nonlinear analysis of framed structures. Seismosoft.
  • Şengezer, B.S.1999. The damage distribution during March 13, 1992 Erzincan earthquake. YT U. Press Release Center, 13.
  • Sucuoğlu, H., 2007. A screening procedure for seismic risk assessment in urban building stocks. Sixth National Conference on Earthquake Engineering, Istanbul, Turkey.
  • Yakut, A., 2004. Preliminary seismic performance assessment procedure for existing RC buildings. Engineering Structures, 26(10), 1447-1461.

The effects of changing story number and structural footprint area on building performance in reinforced-concrete buildings

Yıl 2020, Cilt: 10 Sayı: 1, 30 - 34, 18.06.2020
https://doi.org/10.17678/beuscitech.725367

Öz

Structural footprint area and number of stories occupy an important place among the factors affecting the behavior of buildings under earthquake effects. In this study, footprint area and number of stories are considered as two different variables. A sample reinforced-concrete building with all values such as structural system elements, dimensions, materials, material models and loading status is selected same in all different structural models. The structural analyzes were made for a single direction since the structure was chosen symmetrically. In each building model, the axle clearance has been increased by one meter in both directions. As the second variable, four different story numbers were chosen as 5, 6, 7 and 8. Eigenvalue and static pushover analyzes were performed for the each structural model. Target displacement for damage estimation, period, stiffness and base shear force values were obtained for all models, respectively. As the building footprint area and number of story increase, period, displacement and target displacement increase, while stiffness decreases in this study.

Kaynakça

  • Ademovic, N., Hrasnica, M., Oliveira, D.V., 2013. Pushover analysis and failure pattern of a typical masonry residential building in Bosnia and Herzegovina. Engineering Structures, 50, 13-29.
  • Antoniou, S., Pinho, R., 2003. Seismostruct – Seismic Analysis program by Seismosoft. Technical manual and user manual.
  • Chopra, A.K., Goel, R.K., 2002. A modal pushover analysis procedure for estimating seismic demands for buildings. Earthquake Engineering & Structural Dynamics, 31(3), 561-582.
  • Estêvão, J. M., Oliveira, C. S., 2015. A new analysis method for structural failure evaluation. Engineering Failure Analysis, 56, 573-584.
  • Hadzima-Nyarko, M., KalmanSipos, T., 2017. Insights from existing earthquake loss assessment research in Croatia. Earthquakes and Structures, 13(4), 365-375.
  • İlerisoy, Z.Y., Tuna, M.E. 2018. Effects of plane dimensions and number of storeys on the cost of rectangular-plane buildings constructed with tunnel Form Megaron, 13(4), 559-568.
  • Işık, E., 2016. Consistency of the rapid assessment method for reinforced concrete buildings. Earthquakes and Structures, 11(5), 873-885.
  • Işık, E., Karaşin, İB., 2020, The mutual interaction between the structural footprint and number of floors in steel structures . Unpublished article.
  • Işık, E., Kutanis M., 2015. Performance based assessment for existing residential buildings in Lake Van basin and seismicity of the region. Earthquakes and Structures, 9(4), 893-910.
  • Işık, E., Özdemir, M., 2017. Performance based assessment of steel frame structures by different material models. International Journal of Steel Structures, 17(3), 1021-1031.
  • Işık, E., Özdemir, M., Karaşin, İ. B., 2018. Performance analysis of steel structures with A3 irregularities. International Journal of Steel Structures, 18(3), 1083-1094.
  • Kutanis, M., Boru, E. O., Işık, E., 2017. Alternative instrumentation schemes for the structural identification of the reinforced concrete field test structure by ambient vibration measurements. KSCE Journal of Civil Engineering, 21(5), 1793-1801.
  • Özdemir, M., Işık, E., Ülker, M., 2016. Performance evaluation of reinforced concrete buildings with different story numbers. BEU Journal of Science, 5(2), 183-190.
  • Saidu, İ., Alumbugu, P.O., Abdulazeez, A., Ola-Awo, W.A., 2015. Assessment of the effect of plan shapes on cost of institutional buildings in Nigeria, International Refereed Journal of Engineering and Science (IRJES), 4(3), 39-50.
  • SeismoStruct, 2016. A computer program for static and dynamic nonlinear analysis of framed structures. Seismosoft.
  • Şengezer, B.S.1999. The damage distribution during March 13, 1992 Erzincan earthquake. YT U. Press Release Center, 13.
  • Sucuoğlu, H., 2007. A screening procedure for seismic risk assessment in urban building stocks. Sixth National Conference on Earthquake Engineering, Istanbul, Turkey.
  • Yakut, A., 2004. Preliminary seismic performance assessment procedure for existing RC buildings. Engineering Structures, 26(10), 1447-1461.
Toplam 18 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Ercan Işık 0000-0001-8057-065X

Nursima Sayın 0000-0002-4392-8410

Ali Emre Ulu 0000-0001-7499-3891

Yayımlanma Tarihi 18 Haziran 2020
Gönderilme Tarihi 22 Nisan 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 10 Sayı: 1

Kaynak Göster

IEEE E. Işık, N. Sayın, ve A. E. Ulu, “The effects of changing story number and structural footprint area on building performance in reinforced-concrete buildings”, Bitlis Eren University Journal of Science and Technology, c. 10, sy. 1, ss. 30–34, 2020, doi: 10.17678/beuscitech.725367.