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Seismic Demands Prediction for Low- and Mid-Rise RC Shear Wall–Frame Structures

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Iranian Journal of Science and Technology, Transactions of Civil Engineering Aims and scope Submit manuscript

Abstract

Estimating the seismic demands of structures specially their maximum base shear during an earthquake can be used in seismic evaluation and designing purposes. In this paper, a novel simplified and applicable approximate method is presented to predict the maximum base shear of low- and mid-rise RC shear wall–frame structures based on linear analysis of an equivalent SDOF system. First, an equivalent damping ratio and effective period factor are determined to estimate the maximum roof displacement of the structures for which two deformation shapes are examined for estimation of inter-storey drifts. Subsequently, the estimated roof displacement can be used along with the fundamental period and total mass of the structure to predict the maximum base shear imposed by an individual ground motion record. For this purpose, six moment resisting RC frame with shear walls are selected and subjected to 40 ground motion records without near-field features in the OpenSEES platform. Results show a good agreement between the estimated results with those obtained using nonlinear time history analysis in a way that the proposed formulas can predict the maximum roof displacement and maximum base shear with errors of about 10.3 and 26.0%, respectively, while the inter-storey drifts can be averagely estimated with an error of 11.0%. Moreover, assumption of a cosine shaped and the first mode shaped deformation can be recommended for estimating the inter-storey drifts at higher and lower floors of these structures, respectively.

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Acknowledgements

This work has been supported by the University of Tabriz, International and Academic Cooperation Directorate, in the framework of TabrizU-300 program.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Tabriz, Tabriz, Iran

    Saman Yaghmaei-Sabegh, Shabnam Neekmanesh & Nasser Taghizadieh

  2. Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia

    Nelson Lam

  3. Centre for Smart Infrastructure and Digital Construction, Swinburne University of Technology, Melbourne, VIC, Australia

    Anita Amirsardari

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  1. Saman Yaghmaei-Sabegh
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  2. Shabnam Neekmanesh
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  5. Nasser Taghizadieh
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Correspondence to Saman Yaghmaei-Sabegh.

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Yaghmaei-Sabegh, S., Neekmanesh, S., Lam, N. et al. Seismic Demands Prediction for Low- and Mid-Rise RC Shear Wall–Frame Structures. Iran J Sci Technol Trans Civ Eng (2023). https://doi.org/10.1007/s40996-023-01294-5

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  • DOI: https://doi.org/10.1007/s40996-023-01294-5

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