Genetically Optimized Artificial Neural Network Based Optimum Design of Singly and Doubly Reinforced Concrete Beams Using Adaptive and Resilient Back-Propagation Learning Techniques

Optimum design of singly and doubly reinforced beams with uniformly distributed andconcentrated load has been done by incorporating actual self weight of beam, parabolicstress block, moment-equilibrium and serviceability constraints besides other constraints.Also, this design expertise has been incorporated into a genetically optimized artificialneural network based on steepest descent, adaptive and resilient back-propagation learning techniques. The initial solution for the optimization procedure has been obtained using limit state design as per IS: 456-2000.