APPLICATION OF ARTIFICIAL NEURAL NETWORK TO INVERSE PROBLEMS OF ESTIMATING INNER ETCH OF ELASTOPLASTIC PIPE UNDER PRESSURE

摘要

To determine a variation of pipe’s inner geometric shape as due to etch,the three-lay-ered feedforward artificial neural network is used in the inverse analysis through observing the elasto-plastic strains of the outer wall under the working inner pressure.Becausc of different kinds of innerwall radii and eccentricity,several groups of strains calculated with computational mechanics are usedfor the network to do learning.Numerical calculation demonstrates that this method is effective and theestimated inner wall geometric parameters have high precision.