Optimized Design Ratio of Frame Part Participation in Walled-Framed System of R\C Building

Authors

  • Ahmad Mahmoud Koukash Graduate Student, Engineer, Higher Institute of Earthquake Research and Studies, Damascus University, Department of Earthquake Structural Engineering Author
  • Muneer Alatrash Professor, Faculty of Civil Engineering, Damascus University, Structural Engineering Author
  • Amjad Al Helwani Associate, Professor, Higher Institute of Earthquake Studies and Research, Damascus University, Seismic Structural Engineering Author

Keywords:

Dual Systems, Seismic Shear Resistance Ratio, Optimized Design, Heuristic Algorithm, Design Variables

Abstract

Buildings that are designed with seismic resistant dual shear walled – framed systems are required to fulfil the 25% minimum design lateral force resistance ratio for the frame part alone (without the contribution of the shear walls). This condition raises the question that what is the resulting ratio for the design lateral resistance of the frame part in dual system if an artificial intelligence algorithm was used in the designing process. For this purpose, a dual shear walled- framed system of three spans and five stories is analytically verified to have the nearest possible results to an experimental test by Devi, G. N. (2013). Then an optimum design for the same system is performed. A heuristic algorithm with two phase design variables is used in the optimized design. These variables are prepared at first to be suitably few for the search algorithm to be cost effective in the manner of time needed to have results. This is called phase-1 optimization. Then the number of variables is expanded to cover all the design aspects in the model in phase-2 while using the results of phase-1 as initial values of phase-2. The cost-based optimum design’s objective function takes into consideration the cost of building materials used (concrete and steel) and the cost of square meter of the formwork used to shape members during curing process. The cost of any section is estimated for unit length of member, then the total cost of the whole system is calculated by summing up the cost of all members. In this research an FEM nonlinear program used for analysis (Abaqus) and Python package for machine learning and optimization is used in the optimization process. The frame part participation ratio resulted, though exclusive to the system considered in this research, it ignites the curiosity to investigate several dual system configurations of R\C buildings that could be considered in future works.

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Author Biographies

  • Ahmad Mahmoud Koukash, Graduate Student, Engineer, Higher Institute of Earthquake Research and Studies, Damascus University, Department of Earthquake Structural Engineering

    Graduate Student, Engineer, Higher Institute of Earthquake Research and Studies, Damascus University, Department of Earthquake Structural Engineering

  • Muneer Alatrash, Professor, Faculty of Civil Engineering, Damascus University, Structural Engineering

    Professor, Faculty of Civil Engineering, Damascus University, Structural Engineering

  • Amjad Al Helwani, Associate, Professor, Higher Institute of Earthquake Studies and Research, Damascus University, Seismic Structural Engineering

    Associate, Professor, Higher Institute of Earthquake Studies and Research, Damascus University, Seismic Structural Engineering

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Published

2025-05-30