Maximum Likelihood Estimation Modeling of Welded Joints Based on Metal Magnetic Memory Parameters

摘要：

　　In order to quantitatively identify critical hidden damage for weld joints by using the metal magnetic memory technology (MMM),the modified maximum likelihood estimation MMM model is first proposed.The experimental materials are Q235B welded plate specimens.Fatigue tension experiments were operated to find the MMM feature laws of critical hidden damage by comparing with synchronous X-ray detection results.Four MMM characteristic parameters,that is,ΔHp( y),Kymax,mmax and S(K),are extracted corresponding to the normal state and the hidden damage state,respectively.The probability density values of ΔHp( y),Kymax,mmax and S(K) are calculated by the optimized bandwidth kernel density estimation.The quantitative maximum likelihood estimation MMM model is established based on optimized bandwidth kernel density.The verification result shows the maximum likelihood value of hidden damage state is twice as much as that of the normal state,which is consistent with the practical results.This provides a new method for quantitative MMM identification of weld critical hidden damages.

关键词： Metal magnetic memory hidden damage welded joints optimized bandwidth kernel density maximum likelihood estimation

作者: Xing Haiyan Ge Hua Dai Guanga Yu Zhengshuai Sun Xiaojun

作者单位: School of Mechanical Science and Engineering,Northeast Petroleum University,Daqing

会议类型: 国际会议

会议名称: 2016 International Symposium on Structural Integrity，ISSI—2016(2016国际结构完整性研讨会)

会议地点: 天津

会议语种:英文

页码: 458-462

在线出版日期: 2016-05-26（万方平台首次上网日期，不代表论文的发表时间）