The Research Of The Artificial Neural Network Which Is Based On The Ultimate Bearing Capacity Of The Concrete Sandwich Slabs Experiment

In recent years, environment protecting is cared by people much more than before,and solid clay brick is being absent from market gradually. It is essential to develop anew engineering structure system of low mass-high strength, economic on energy,seismic,protecting environment, and utilizing ' three waste'. the research of new-stylematerial which can economize energy resources, stuff and water become the pivotalresearch. Then the research of CS slab is on the time.Before this experiment, much experimental research has been done by the civilengineering department of Tianjin University. Based on these work, the bendingcharacteristic of concrete-sand-witch panel (CS panel) is observed. And the researchis enriched than before. The characteristic of bearing moment and the passingmechanism of moment are analyzed through experiment, and the load-deflectioncurve about CS panel, load-strain of every testified point is obtained. Based on theexperiment and theory analysis, the ultimate bearing capacity equation about crosssection of CS panel is proposed.Artificial neural network(ANN) is a mathematical model of neural network ofbrain, and is a information handling system that simulate architecture and function ofbrain. ANN can realize complicated logic operation and nonlinear relation, and it isvery suitable for such problems that are difficult to be established mathematical modelbut easy to be collected learning set. The model of capacity of CS slab is set up by using ANN. It provide a efficientmethod for design, computation and forecast of capacity of CS slab. Compare beforeresearch, the research is more extensive and makes some breakthrough.