Support System for Planning Reinforced Concrete (RC) Structure by Neural Network and Spline Function

----- Production of Skeletons’ Cost Database in Case of RC Apartment Buildings Designed According to Structural Performances -----

Abstract

A structural performance evaluation rule was settled in the Japanese Building Standard Law. The new rule evaluates structural seismic safeties by importance factor. Structural designers must explain costs and performances of buildings to customers, and prepare a new method for such new requests of customers. This report proposes a support system for planning reinforced concrete (RC) structures according to structural performances by neural network and spline function. Neural network is modeled after the neuron of human brains, and has been applied to structural control and planning by a couple of co-authors of this paper and others. In this paper, it is shown that at the stage of planning, we can obtain useful information on life cycle cost of RC structural skeletons by this system.