Automated clash-free optimization of steel reinforcement in RC frame structures using building information modeling and two-stage genetic algorithm

Steel reinforcement design in practices is performed at individual member level with little considerations of member-member intersections, which results in reinforcement overlaps and congestion. This paper presents a new approach based on building information modeling (BIM) and two-stage genetic algorithms (GA) to automatically optimize the clash-free steel reinforcement design. The approach considers reinforcement overlaps and congestion in beam-column joints and extracts 3D spatial information from design BIM models to underpin the automated clash-free optimization. The beam-column intersections are classified into appropriate categories such as T and cross joints, following by the generation of a clash-free reinforcement layout using the first-stage GA. Given the clash-free layout, the second-stage optimization is conducted using a hybrid GA and Hooke & Jeeves algorithm to calculate the optimal diameter combination of steel reinforcements (with minimum provided steel reinforcement area). An example is provided to illustrate the proposed BIM and two-stage GA based optimization method. •A new method is proposed for clash-free steel reinforcement design in RC structures.•Evolutionary optimization is leveraged to resolve clashes at beam-column joints.•Two-stage genetic algorithm optimizes both the rebar layout and size combination.•Building design codes and provisions are considered for more practical designs.•The optimum minimizes the materials used while enhancing rebar placement on sites.