Finite element analysis (FEA) is a method to evaluate the outputs of complex elements to any external loading by dividing the complex elements into lots of smaller and simpler elements. Artificial Neural Networks (ANNs) is another alternative analytical modeling method, which capture the numerical equations between its nodes and no formal formula is observable within the network generation. The key objective of this book is to analyze Carbon Fiber Reinforced Polymer (CFRP) strengthened RC one-way slab using FEA and ANN. The experimental work involves the evaluation of load- deflection relationship of 7 CFRP strengthened RC slabs under four point line loads. The results of experimental data were compared with empirical modelling and finite element analysis using LUSAS software.

Dr. Seyed Vahid Razavi Tosee is a holder of academic position in Structural Engineering Department at the Jundi-shapur University of Technology, Dezful, Iran. His main areas of research includes Structural Engineering, Neural Networks, Smart Structures, Structural dynamics, and more recently dynamic assessment and health monitoring of bridges.