The analysis for prediction of a central distribution crack for RDE Pressure Vessel by Fuzzy Neural Network

Abstract
Many investigations were conducted on some material which used in Reactor, especially for Pressure Vessel. BATAN is designing Reactor Daya Experimental (RDE). The material to be used needs to be tested first. The fracture toughness has reflected the strength of the material. The center of crack distribution is a phenomenon of a failure material. The localization for the crack detection of RPV is necessary analyzed. The characteristic of distribution crack propagation is necessary predicted. The Fuzzy Neural Network (FNN) is an efficient prediction for detection of the center location measured for distribution data. Beside that the analysis of the resistance material can calculate by fracture mechanic analysis use Stress Intensity Factor (SIF) value through J-Integral calculated. The material SA 516-70 stainless steel is used for the main body in RDE Pressure Vessel. It is necessary to analyze the resistance that material. The center measured reflecting the characteristic of data distribution. The objective of this study is to analysis the center of crack location RDE Pressure Vessel by FNN. The strength of fracture mechanic calculated by SIF calculation through J-Integral with some crack ratio value. The resistance material SA516-70 was analyzed by comparing between SIF value and fracture toughness that material. The prediction centered value of crack distribution in fracture mechanic was evaluated for the phenomena of resistance material of SA 516-70 stainless steel which used for RDE Pressure Vessel.