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Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes

Year 2022, Volume 33, Issue 1, 11487 - 11505, 01.01.2022
https://doi.org/10.18400/tekderg.633636

Abstract

Seismic isolation systems exposed to far-fault earthquakes can reduce floor accelerations and story drift ratios to acceptable levels. However, they exhibit different structural performances in each earthquake due to different excitation frequency contents. By optimizing the isolation system parameters, their performance may be maintained at the best level under different far-fault earthquakes. In this study, the optimization of the parameters of the nonlinear isolation system of a 5-story benchmark building is performed by Teaching-Learning Based Optimization (TLBO) algorithm to minimize peak floor accelerations under historical far-fault earthquakes with and without exceeding a specified base displacement limit. According to the results of the analyses, it can be said that TLBO algorithm is a robust algorithm with low standard deviations for determining optimum nonlinear isolation system parameters.

References

  • [1] Naeim, F., Kelly, J., Design of Seismic Isolated Structures: from Theory to Practice, Newyork. Wiley, 1999.
  • [2] Martelli, A., Seismic Isolation and Energy Dissipation: Worldwide Application and Perspectives, Earthquake Resistant Engineering Structures VI, Boston, WIT Press, 2007.
  • [3] Cheng, F.Y., Jiang, H., Lou, K., Smart Structures: Innovative Systems for Seismic Response Control, New York, CRC press, 2008.
  • [4] Nagarajaiah, S., Xiahong, S., Response of Base-isolated USC Hospital Building in Northridge Earthquake, J. Struct. Eng., 126-10, 1177–1186, 2000.
  • [5] Goldberg, D.E., Genetic Algorithms in Search, Optimization, and Machine Learning, Machine Learning, 3:2, 95-99,1988.
  • [6] Dorigo, M., Maniezzo, V., Colorni, A., Ant system: Optimization by a Colony of Cooperation Agents, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 26:1, 29-41, 1996.
  • [7] Kennedy, J., Eberhart, R., Particle Swarm Optimization, IEEE International Conference on Neural Networks, Perth, WA, Australia, 1995.
  • [8] Karaboga, D., Basturk, B.. A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm, Journal of Global Optimization, 39(3), 459-471, 2007.
  • [9] Rao, R.V., Savsani, V.J., Vakharia, D.P., Teaching-learning-based Optimization: A novel Method for Constrained Mechanical Design Optimization Problems, Computer-Aided Design, 43:3, 303-315, 2011.
  • [10] Matsagar, V.A., Jangid, R.S., Influence of Isolator Characteristic on the Response of Base-isolated Structures, Engineering Structures, 26, 1735-1749, 2004.
  • [11] Dicleli, M., Buddaram, S., Effect of Isolator and Ground Motion Characteristics on the Performance of Seismic- Isolated Bridges, Earthquake Engineering & Structural Dynamics 35, 233–250, 2006.
  • [12] Alhan, C., Öncü-Davas, S., Performance Limits of Seismically Isolated Buildings under Near-field Earthquakes, Engineering Structures, 116, 83-94, 2016.
  • [13] Nigdeli, S.M., Bekdaş, G., Alhan, C., Optimization of Seismic Isolation Systems via Harmony Search, Engineering Optimization, 46:11, 1553-1569, 2014.
  • [14] Çerçevik, A.E., Avşar, Ö., Doğrusal Sismik İzolasyon Parametrelerinin Karga Arama Algoritması ile Optimizasyonu. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, DOI: 10.5505/pajes.2019.93636.
  • [15] Pourzeynali, S., Zarif, M. Multi-objective Optimization of Seismically Isolated High-rise Building Structures using Genetic Algorithms, Journal of Sound and Vibration, 311(3 5), 1141-1160, 2008.
  • [16] Rao, R.V., Waghmare, G., Design Optimization of Robot Grippers using Teaching-Learning-Based Optimization Algorithm, Advanced Robotics, 29(6), 431-447, 2015.
  • [17] Camp, C.V., Farshchin, M., Design of Space Trusses Using Modified Teaching-Learning-Based Optimization, Engineering Structures, 62, 87-97, 2014.
  • [18] Degertekin, S. O., Hayalioglu, M.S., Sizing Truss Structures using Teaching-Learning-Based Optimization, Computers & Structures, 119, 177-188, 2013.
  • [19] Temur, R., Bekdaş, G., Teaching Learning-Based Optimization for Design of Cantilever Retaining Walls, Structural Engineering and Mechanics, 57(4), 763-783, 2016.
  • [20] Nagarajaiah, S., Reinhorn, A.M., Constantinou, M.C., Nonlinear Dynamic Analysis of 3D Base-isolated Structures, J Struct Eng, 117:2035–54, 1991.
  • [21] Nagarajaiah, S., Reinhorn, A.M., Constantinou, M.C., 3D-Basis: Nonlinear Dynamic Analysis of Three-dimensional Base Isolated Structures: Part II. Technical Report NCEER-91-0005. National Center for Earthquake Engineering, State University of New York at Buffalo; 1991.
  • [22] Pan, P., Zamfirescu, D., Nakashima, M., Nakayasu, N., Kashiwa, H., Base-isolation Design Practice in Japan: Introduction to the Post-Kobe Approach, J Earthq Eng, 9:1, 147 171, 2005.
  • [23] Makris, N., Chang, S., Effect of Viscous, Viscoplastic and Friction Damping on the Response of Seismic Isolated Structures, Earthq Eng Struct Dyn, 29, 85-107, 2000.
  • [24] Dicleli, M., Buddaram, S., Equivalent Linear Analysis of Seismic-isolated Bridges Subjected to Near-field Ground Motions with Forward Rupture Directivity Effect, Engineering Structures, 29, 21-32, 2007.
  • [25] Providakis, C.P., Effect of Supplemental Damping on LRB and FPS Seismic Isolators under Near-field Excitations, Soil Dyn Earthq Eng, 29, 80-90, 2009.
  • [26] Tavakoli, H.R., Naghavi, F., Goltabar, A.R., Dynamic Responses of the Base-fixed and Isolated Building Frames under Far-and Near-fault Earthquakes, Arabian Journal for Science and Engineering, 39(4), 2573-2585, 2014.
  • [27] Bhandari, M., Bharti, S.D., Shrimali, M.K., Datta, T.K., The Numerical Study of Base-isolated Buildings under Near-field and Far-field Earthquakes, Journal of Earthquake Engineering, 22(6), 989-1007, 2018.
  • [28] Fathi, M., Makhdoumi, A., Parvizi, M., Effect of Supplemental Damping on Seismic Response of Base Isolated Frames under Near & Far Field Accelerations, KSCE Journal of Civil Engineering, 19(5), 1359-1365, 2015.
  • [29] FEMA Quantification of Building Seismic Performance Factors, Report FEMA P695 Federal Emergency Management Agency, 2009.
  • [30] PEER, Pacific Earthquake Engineering Resource Center: NGA Database https://ngawest2.berkeley.edu/, [access: February 2019].

Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes

Year 2022, Volume 33, Issue 1, 11487 - 11505, 01.01.2022
https://doi.org/10.18400/tekderg.633636

Abstract

Seismic isolation systems exposed to far-fault earthquakes can reduce floor accelerations and story drift ratios to acceptable levels. However, they exhibit different structural performances in each earthquake due to different excitation frequency contents. By optimizing the isolation system parameters, their performance may be maintained at the best level under different far-fault earthquakes. In this study, the optimization of the parameters of the nonlinear isolation system of a 5-story benchmark building is performed by Teaching-Learning Based Optimization (TLBO) algorithm to minimize peak floor accelerations under historical far-fault earthquakes with and without exceeding a specified base displacement limit. According to the results of the analyses, it can be said that TLBO algorithm is a robust algorithm with low standard deviations for determining optimum nonlinear isolation system parameters.

References

  • [1] Naeim, F., Kelly, J., Design of Seismic Isolated Structures: from Theory to Practice, Newyork. Wiley, 1999.
  • [2] Martelli, A., Seismic Isolation and Energy Dissipation: Worldwide Application and Perspectives, Earthquake Resistant Engineering Structures VI, Boston, WIT Press, 2007.
  • [3] Cheng, F.Y., Jiang, H., Lou, K., Smart Structures: Innovative Systems for Seismic Response Control, New York, CRC press, 2008.
  • [4] Nagarajaiah, S., Xiahong, S., Response of Base-isolated USC Hospital Building in Northridge Earthquake, J. Struct. Eng., 126-10, 1177–1186, 2000.
  • [5] Goldberg, D.E., Genetic Algorithms in Search, Optimization, and Machine Learning, Machine Learning, 3:2, 95-99,1988.
  • [6] Dorigo, M., Maniezzo, V., Colorni, A., Ant system: Optimization by a Colony of Cooperation Agents, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 26:1, 29-41, 1996.
  • [7] Kennedy, J., Eberhart, R., Particle Swarm Optimization, IEEE International Conference on Neural Networks, Perth, WA, Australia, 1995.
  • [8] Karaboga, D., Basturk, B.. A Powerful and Efficient Algorithm for Numerical Function Optimization: Artificial Bee Colony (ABC) Algorithm, Journal of Global Optimization, 39(3), 459-471, 2007.
  • [9] Rao, R.V., Savsani, V.J., Vakharia, D.P., Teaching-learning-based Optimization: A novel Method for Constrained Mechanical Design Optimization Problems, Computer-Aided Design, 43:3, 303-315, 2011.
  • [10] Matsagar, V.A., Jangid, R.S., Influence of Isolator Characteristic on the Response of Base-isolated Structures, Engineering Structures, 26, 1735-1749, 2004.
  • [11] Dicleli, M., Buddaram, S., Effect of Isolator and Ground Motion Characteristics on the Performance of Seismic- Isolated Bridges, Earthquake Engineering & Structural Dynamics 35, 233–250, 2006.
  • [12] Alhan, C., Öncü-Davas, S., Performance Limits of Seismically Isolated Buildings under Near-field Earthquakes, Engineering Structures, 116, 83-94, 2016.
  • [13] Nigdeli, S.M., Bekdaş, G., Alhan, C., Optimization of Seismic Isolation Systems via Harmony Search, Engineering Optimization, 46:11, 1553-1569, 2014.
  • [14] Çerçevik, A.E., Avşar, Ö., Doğrusal Sismik İzolasyon Parametrelerinin Karga Arama Algoritması ile Optimizasyonu. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, DOI: 10.5505/pajes.2019.93636.
  • [15] Pourzeynali, S., Zarif, M. Multi-objective Optimization of Seismically Isolated High-rise Building Structures using Genetic Algorithms, Journal of Sound and Vibration, 311(3 5), 1141-1160, 2008.
  • [16] Rao, R.V., Waghmare, G., Design Optimization of Robot Grippers using Teaching-Learning-Based Optimization Algorithm, Advanced Robotics, 29(6), 431-447, 2015.
  • [17] Camp, C.V., Farshchin, M., Design of Space Trusses Using Modified Teaching-Learning-Based Optimization, Engineering Structures, 62, 87-97, 2014.
  • [18] Degertekin, S. O., Hayalioglu, M.S., Sizing Truss Structures using Teaching-Learning-Based Optimization, Computers & Structures, 119, 177-188, 2013.
  • [19] Temur, R., Bekdaş, G., Teaching Learning-Based Optimization for Design of Cantilever Retaining Walls, Structural Engineering and Mechanics, 57(4), 763-783, 2016.
  • [20] Nagarajaiah, S., Reinhorn, A.M., Constantinou, M.C., Nonlinear Dynamic Analysis of 3D Base-isolated Structures, J Struct Eng, 117:2035–54, 1991.
  • [21] Nagarajaiah, S., Reinhorn, A.M., Constantinou, M.C., 3D-Basis: Nonlinear Dynamic Analysis of Three-dimensional Base Isolated Structures: Part II. Technical Report NCEER-91-0005. National Center for Earthquake Engineering, State University of New York at Buffalo; 1991.
  • [22] Pan, P., Zamfirescu, D., Nakashima, M., Nakayasu, N., Kashiwa, H., Base-isolation Design Practice in Japan: Introduction to the Post-Kobe Approach, J Earthq Eng, 9:1, 147 171, 2005.
  • [23] Makris, N., Chang, S., Effect of Viscous, Viscoplastic and Friction Damping on the Response of Seismic Isolated Structures, Earthq Eng Struct Dyn, 29, 85-107, 2000.
  • [24] Dicleli, M., Buddaram, S., Equivalent Linear Analysis of Seismic-isolated Bridges Subjected to Near-field Ground Motions with Forward Rupture Directivity Effect, Engineering Structures, 29, 21-32, 2007.
  • [25] Providakis, C.P., Effect of Supplemental Damping on LRB and FPS Seismic Isolators under Near-field Excitations, Soil Dyn Earthq Eng, 29, 80-90, 2009.
  • [26] Tavakoli, H.R., Naghavi, F., Goltabar, A.R., Dynamic Responses of the Base-fixed and Isolated Building Frames under Far-and Near-fault Earthquakes, Arabian Journal for Science and Engineering, 39(4), 2573-2585, 2014.
  • [27] Bhandari, M., Bharti, S.D., Shrimali, M.K., Datta, T.K., The Numerical Study of Base-isolated Buildings under Near-field and Far-field Earthquakes, Journal of Earthquake Engineering, 22(6), 989-1007, 2018.
  • [28] Fathi, M., Makhdoumi, A., Parvizi, M., Effect of Supplemental Damping on Seismic Response of Base Isolated Frames under Near & Far Field Accelerations, KSCE Journal of Civil Engineering, 19(5), 1359-1365, 2015.
  • [29] FEMA Quantification of Building Seismic Performance Factors, Report FEMA P695 Federal Emergency Management Agency, 2009.
  • [30] PEER, Pacific Earthquake Engineering Resource Center: NGA Database https://ngawest2.berkeley.edu/, [access: February 2019].

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Seda ÖNCÜ-DAVAS This is me
İSTANBUL ÜNİVERSİTESİ - CERRAHPAŞA
0000-0001-5023-1980
Türkiye


Rasim TEMÜR>
İSTANBUL ÜNİVERSİTESİ - CERRAHPAŞA
0000-0001-7154-2286
Türkiye


Cenk ALHAN> (Primary Author)
İSTANBUL ÜNİVERSİTESİ - CERRAHPAŞA
0000-0002-6649-8409
Türkiye

Publication Date January 1, 2022
Application Date October 16, 2019
Acceptance Date June 26, 2020
Published in Issue Year 2022, Volume 33, Issue 1

Cite

Bibtex @research article { tekderg633636, journal = {Teknik Dergi}, issn = {1300-3453}, address = {}, publisher = {TMMOB İnşaat Mühendisleri Odası}, year = {2022}, volume = {33}, number = {1}, pages = {11487 - 11505}, doi = {10.18400/tekderg.633636}, title = {Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes}, key = {cite}, author = {Öncü-davas, Seda and Temür, Rasim and Alhan, Cenk} }
APA Öncü-davas, S. , Temür, R. & Alhan, C. (2022). Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes . Teknik Dergi , 33 (1) , 11487-11505 . DOI: 10.18400/tekderg.633636
MLA Öncü-davas, S. , Temür, R. , Alhan, C. "Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes" . Teknik Dergi 33 (2022 ): 11487-11505 <https://dergipark.org.tr/en/pub/tekderg/issue/55936/633636>
Chicago Öncü-davas, S. , Temür, R. , Alhan, C. "Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes". Teknik Dergi 33 (2022 ): 11487-11505
RIS TY - JOUR T1 - Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes AU - SedaÖncü-davas, RasimTemür, CenkAlhan Y1 - 2022 PY - 2022 N1 - doi: 10.18400/tekderg.633636 DO - 10.18400/tekderg.633636 T2 - Teknik Dergi JF - Journal JO - JOR SP - 11487 EP - 11505 VL - 33 IS - 1 SN - 1300-3453- M3 - doi: 10.18400/tekderg.633636 UR - https://doi.org/10.18400/tekderg.633636 Y2 - 2020 ER -
EndNote %0 Teknik Dergi Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes %A Seda Öncü-davas , Rasim Temür , Cenk Alhan %T Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes %D 2022 %J Teknik Dergi %P 1300-3453- %V 33 %N 1 %R doi: 10.18400/tekderg.633636 %U 10.18400/tekderg.633636
ISNAD Öncü-davas, Seda , Temür, Rasim , Alhan, Cenk . "Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes". Teknik Dergi 33 / 1 (January 2022): 11487-11505 . https://doi.org/10.18400/tekderg.633636
AMA Öncü-davas S. , Temür R. , Alhan C. Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes. Teknik Dergi. 2022; 33(1): 11487-11505.
Vancouver Öncü-davas S. , Temür R. , Alhan C. Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes. Teknik Dergi. 2022; 33(1): 11487-11505.
IEEE S. Öncü-davas , R. Temür and C. Alhan , "Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes", Teknik Dergi, vol. 33, no. 1, pp. 11487-11505, Jan. 2022, doi:10.18400/tekderg.633636