[1]苏三庆,韦璐茜,王威,等.基于支持向量机的钢结构隐性损伤磁记忆识别研究[J].西安建筑科技大学学报(自然科学版),2019,51(01):1-6.[doi:10.15986/j.1006-7930.2019.01.001]
　SU SanqingWEI LuxiWANG WeiHE Yang.Metal magnetic memory identification on steel structure implicit damage based on support vector machine[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2019,51(01):1-6.[doi:10.15986/j.1006-7930.2019.01.001]
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基于支持向量机的钢结构隐性损伤磁记忆识别研究()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
51
期数:
2019年01期
页码:
1-6
栏目:
出版日期:
2019-02-28

文章信息/Info

Title:
Metal magnetic memory identification on steel structure implicit damage based on support vector machine
文章编号:
1006-7930(2019)01-0001-06
作者:
苏三庆; 韦璐茜; 王威; 何洋
(西安建筑科技大学 土木工程学院,陕西 西安 710055)
Author(s):
SU SanqingWEI LuxiWANG WeiHE Yang
(School of Civil Engineering, Xian Univ. of Arch. Tech. Xian 710055, China)
关键词:
金属磁记忆; 隐性损伤; 支持向量机; 损伤识别; 建筑钢结构
Keywords:
Metal magnetic memory; implicit damage; support vector machine; damage identification;  steel structure
分类号:
TU391
DOI:
10.15986/j.1006-7930.2019.01.001
文献标志码:
A
摘要:
为了解决应用金属磁记忆技术判定结构初期损伤状态的问题，从建筑钢板件的三点受弯试验入手，通过研究试验结果的磁记忆曲线规律，并提取四维磁记忆特征向量，结合支持向量机的方法建立了一个判定焊缝损伤状态的算法.结果表明：磁记忆检测技术不仅适用于建筑钢结构，而且可以利用支持向量机小样本的优势将焊缝损伤在应力集中、隐性损伤、显性损伤三种类别中区分出来，在一定程度上解决了如何识别钢结构隐性损伤的难题，并为磁记忆评判损伤量化提供了一种方法
Abstract:
It is difficult for the metal magnetic memory(MMM) technology to test the initial weld damage state and category in the detection of building steel structure.To solve the problem, the research started from the three point bending test specimens of building steel structure. By analyzing the regular pattern of the magnetic memory curve and extracting the four-dimensional magnetic memory parameter, an algorithm of determining weld damage categories combined with support vector machine(SVM) method is established. Results show that the metal magnetic memory technology is not only suitable for building steel structure, but also capable of combining with the advantage of support vector machine in small sample to distinguish the category of weld damage from stress concentration, implicit damage and visible damage. The research solves the decision problem of steel structure implicit damage to a certain extent, and provides a method for quantitative study of magnetic memory

参考文献/References:

[1]王威, 曾发荣, 苏三庆,等. 基于磁记忆的受弯钢梁力磁效应试验[J]. 材料科学与工程学报, 2016,34(1): 109-114.

WANG Wei, ZENG Farong, SU Sanqing, et al. Experimental Research on Magnetic mechanical Effectiveness of Bending Steel Beam Based on Metal Magnetic Memory[J].Journal of Materials Science & Engineering, 2016, 34(1):109-114.

[2]王威, 任广超, 苏三庆, 等. 钢梁弯曲应变与磁记忆效应的关系研究[J]. 西安建筑科技大学学报（自然科学版）, 2017, 49(1)：29-35.

WANG Wei, REN Guangchao, SU Sanqing, et al. Research on the relationship between flexural strain and metal magnetic memory for steel beam[J]. J. Xi′an Univ. of Arch. & Tech ,2017,49(1):29-35.

[3]DUBOV A A.Development of a metal magnetic memory method[J]. Chemical and Petroleum Engineering, 2012, (47):837-839.

[4]DUBOV A A.Diagnostics of equipment and constructions strength with usage of Magnetic Memory Inspection[J]. Diagnostics .2011 ,35(6):19-29.

[5]DUBOV A A, DEMIN E A, MILYAEV A I. The experience of gas pipeline stress-strain state control with usage of the metal magnetic memory and stress control means[J]. Welding in the World,2002,46(9):29-33.

[6]宗周红, 钟儒勉, 郑沛娟, 等. 基于健康监测的桥梁结构损伤预后和安全预后研究进展及挑战[J]. 中国公路学报, 2014, 27(12):46-57.

ZONG Zhouhong, ZHONG Rumian, ZHENG Peijuan, et al.Damge and Safety Prognosis of Bridge Structures Based on Structural Health Monitoring Progress and Challenges[J]. China Journal of Highway and Transport, 2014 ,27(12):46-57.

[7]易方, 李著信, 吕宏庆, 等. 基于模糊核支持向量机的管道磁记忆检测缺陷识别[J]. 石油学报, 2010, 31(5):863-866.

YI Fang, LI Zhuxin, LV Hongqing, et al. Defect recognition by metal magnetic memory detection of pipelines based on the fuzzy kernel function SVM[J]. ACTA PET ROLEI SINICA ,2010,31(5):863-866.

[8]BURGES C J C. Atutoriol on support vector machines for pattern recognition[J]. Data Mining and Knowledge Discovery ,1998,2(2):121-167.

[9]王建国, 张文兴. 支持向量机建模及其智能优化[M].清华大学出版社,2015.

WANG Jianguo, ZHANG Wenxing. Support vector machines modeling and intelligent optimization[M]. Tsinghua University Press ,2015.

[10]邸新杰, 李午申, 严春妍, 等. 基于金属磁记忆的宏观焊接裂纹识别方法[J]. 中国机械工程, 2007,(12):1475-1478.

DI Xinjie, LI Wushen, YAN Chunyan, et al.Inspection Method of Welding Cracks Based on Metal Magnetic Memory[J]. China Mechanical Engineering, 2007 ,(12): 1475-1478.

[11]HSU C W, CHANG C C, LIN C J. A Practical Guide to Support Vector Classification [R]. Taipei:Department of Computer Science National Taiwan University, 2003.

相似文献/References:

[1]王 威,易术春,苏三庆,等.建筑钢试件拉伸应力与其磁记忆效应漏磁场梯度的对应关系研究[J].西安建筑科技大学学报(自然科学版),2015,47(03):341.[doi:10.15986/j.1006-7930.2015.03.006]
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备注/Memo

备注/Memo:
收稿日期:2017-09-07
修改稿日期:2019-01-15
基金项目:国家自然科学基金资助项目（51878548；51578449）；陕西省自然科学基础研究计划重点项目（2018JZ5013）
作者简介:苏三庆（1961-），男，教授，博士生导师，主要从事结构抗震设计、健康监测方面的研究.E-mail:sussq@xauat.edu.cn
更新日期/Last Update: 2019-03-05