Neural validation of FDBM simulation for a manual activity in RCC construction

Abstract

The India and other developing countries utilize intensive manual labour in building and infrastructure development. The methods used in these activities are either traditional or designed in a limited way. The present paper aimed to propose improvements in methods of performing these activities by developing a mathematical simulation of data collected while the work was actually being executed in the field. Once the generalized model using all possible parameters developed, the weaknesses of the present method identified and improvement is possible. The main contribution of this paper is to develop the mathematical simulation of formworks placing sub activities in reinforced concrete construction and validate it with the Neural Network prediction. Validation of the Field Data Based Mathematical (FDBM) model is achieved by comparing with the Artificial Neural Network Prediction and found satisfactory.