Optimization of Reinforced Concrete Deep Beams Using Data-Driven Parametric Performance Indicators

Authors: Tufail Mabood
Journal:  Emirati Journal of Civil Engineering and Applications
Volume: Vol 4 Issue 1
Keywords: Reinforced concrete deep beam, multi-objective optimization, structural efficiency, reinforcement configuration, material optimization

Abstract:

The present study proposes a multi-objective optimization model for reinforced concrete deep beams based on the study and improvement of structural performance using multi objective optimization. In traditional design methodologies, the complex relationships between various parameters are generally ignored. The present study was based on the formulation of four objectives:  (Cross-sectional Efficiency),  (Reinforcement Contribution Ratio),  (Tensile Mechanism), and  (Structural Gradient). The objectives , , , and  were combined with various parameters and material characteristics to obtain optimal design findings.  and  are related to efficient cross-sectional design and uniform stress.  and  are related to tensile and compressive effects of vertical and horizontal bars. The conclusions revealed efficient design and proportions of reinforced materials for capacities to bear loads and minimal use of materials. The importance of multi-objective optimization is emphasized in the discussion, which states that it gives a more precise view of structural behavior than the conventional single-parameter design. In general, the paper has established a generalized design approach for reinforced concrete deep beams that incorporate efficiency, safety, and practicability. The results of this research provide valuable information for engineers and pave the way for further experimental verification and parametric studies.