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An Energy-Based Prediction of Deformation Demand on Low- to Mid-Rise R/C Buildings with Hysteretic Dampers

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Energy-Based Seismic Engineering (IWEBSE 2021)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 155))

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Abstract

This study focuses on frame buildings equipped with hysteretic dampers, and presents an energy-based methodology to estimate the earthquake deformation demand after damper installation. The proposed methodology considers not only structural and dynamic characteristics of the main frame and dampers, but also input ground motion characteristics. For this purpose, five R/C building structures with 2, 4, 6, 8 and 10 stories were designed according to the Colombian seismic code, and further converted into equivalent single-degree-of-freedom (SDOF) system models. Hysteretic dampers with varying mechanical properties were then installed into the SDOF models, and the models were then subjected to a series of 30 input ground motions. The input motions were modified to represent the seismic intensity given in the Colombian code and to grant certain control over the input energy. Furthermore, a discussion over the results of a three-dimension sample R/C frame building is presented. The predicted deformation demand obtained from the proposed methodology was compared with that obtained from the analysis. The methodology was shown to be useful for the preliminary assessment of the earthquake response of frame buildings with dampers.

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Correspondence to J. A. Oviedo-Amezquita .

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Oviedo-Amezquita, J.A., Henao-Munoz, S., Bernal-Zuluaga, A.M. (2021). An Energy-Based Prediction of Deformation Demand on Low- to Mid-Rise R/C Buildings with Hysteretic Dampers. In: Benavent-Climent, A., Mollaioli, F. (eds) Energy-Based Seismic Engineering. IWEBSE 2021. Lecture Notes in Civil Engineering, vol 155. Springer, Cham. https://doi.org/10.1007/978-3-030-73932-4_13

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  • DOI: https://doi.org/10.1007/978-3-030-73932-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73931-7

  • Online ISBN: 978-3-030-73932-4

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