Footings are one of the structural members, which is one of the complex engineering problems to optimize. Differently from the other reinforced concrete member designs such as beams and columns, geotechnical limit states are also needed to consider in addition to structural state limits. In this chapter, the optimum design of RC footing is presented according to ACI 318: Building code requirements for structural concrete. The optimum results of methodologies employing different algorithms including Harmony Search (HS), Teaching-Learning-Based Optimization algorithm (TLBO), and Flower Pollination Algorithm (FPA). In the methodologies, the design variables are values about dimensions of the footing, the orientation of the supported columns and reinforcements. Also, a simplified methodology is also presented with a design code employing HS.
Optimum Design of Reinforced Concrete T-Beam Considering Environmental Factors via Flower Pollination Algorithm
