|本期目录/Table of Contents|

[1]项长生,王旭,赵华,等.基于融合WM算法的Mamdani型模糊推理的板桥损伤定量分析*[J].中国安全生产科学技术,2024,20(8):173-180.[doi:10.11731/j.issn.1673-193x.2024.08.023]
　XIANG Changsheng,WANG Xu,ZHAO Hua,et al.Quantitative analysis of slab bridge damage based on Mamdani fuzzy reasoning with fusion of WM algorithm[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(8):173-180.[doi:10.11731/j.issn.1673-193x.2024.08.023]
点击复制

基于融合WM算法的Mamdani型模糊推理的板桥损伤定量分析*
分享到：

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年8期
页码:
173-180
栏目:
职业安全卫生管理与技术
出版日期:
2024-08-30

文章信息/Info

Title:
Quantitative analysis of slab bridge damage based on Mamdani fuzzy reasoning with fusion of WM algorithm
文章编号:
1673-193X(2024)-08-0173-08
作者:
项长生; 王旭; 赵华; 狄生奎; 王立宪
（1.兰州理工大学 土木工程学院，甘肃 兰州 730050；
2.兰州交通大学，甘肃 兰州 730070）
Author(s):
XIANG Changsheng;  WANG Xu;  ZHAO Hua;  DI Shengkui;  WANG Lixian
(1.School of Civil Engineering,Lanzhou University of Technology,Lanzhou Gansu 730050,China;
2.Lanzhou Jiaotong University,Lanzhou Gansu 730070,China)
关键词:
板桥; 模糊逻辑; WM算法; 损伤识别; 影响面
Keywords:
slab bridge;  Fuzzy logic;  WM algorithm;  damage identification;  influence surface
分类号:
X951
DOI:
10.11731/j.issn.1673-193x.2024.08.023
文献标志码:
A
摘要:
为对板桥局部位置的损伤程度进行定量分析，提出1种基于融合WM算法的Mamdani型模糊推理板桥损伤定量分析方法，探讨影响面指标和损伤程度之间的独特联系，并通过MIDAS及Python模拟计算并分析板的损伤程度。研究结果表明：模糊逻辑系统具有较为出色的记忆能力。当融合WM算法到模糊逻辑系统中时，不论是单点损伤还是多点损伤，都能对板桥的损伤程度进行准确识别；当未融合WM算法时，由于其模糊规则没有进行置信度计算，将错误的规则也计算在内，最终导致定量结果精度下降。研究结果可为板桥结构的损伤评估和维护策略提供较为科学准确的参考。
Abstract:
In order to quantitatively analyze the damage degree of local position of the slab bridge,a quantitative analysis method of slab bridge damage based on Mamdani type fuzzy reasoning with the fusion of WM algorithm was proposed.The unique relationship between the influence surface index and the damage degree was explored,and the damage degree of slab was calculated and analyzed by MIDAS and Python simulation.The results show that the fuzzy logic system has a very good memory ability.When the WM algorithm is integrated into the fuzzy logic system,the damage degree of slab bridge can be accurately identified regardless of single-point damage or multi-point damage.When the WM algorithm is not integrated,because its fuzzy rules do not perform the confidence calculation,the wrong rules are also calculated,which eventually leads to a decrease in the accuracy of quantitative results.The research results can provide a more scientific and accurate basis for the damage assessment and maintenance strategy of the slab bridge structure.

参考文献/References:

［1］单德山,罗凌峰,李乔.桥梁健康监测2020年度研究进展［J］.土木与环境工程学报(中英文),2021,43(增刊1):129-134. SHAN Deshan,LUO Lingfeng,LI Qiao.State-of-the-art review of the bridge health monitoring in 2020［J］.Journal of Civil and Environmental Engineering,2019,43(Supplement 1):129-134.
［2］《中国公路学报》编辑部.中国桥梁工程学术研究综述·2021［J］.中国公路学报,2021,34(2):1-97. Editorial Department of China Journal of Highway and Transport.Review on China’s bridge engineering research:2021［J］.China Journal of Highway and Transport,2021,34(2):1-97.
［3］徐博，汪佳欣，钱屹，等.基于模糊推理的智能围岩分级方法研究［J］.铁道工程学报,2022,39(8):24-29. XU Bo,WANG Jiaxin,QIAN Yi,et al.Research on intelligent surrounding rock classification method based on fuzzy reasoning［J］.Journal of the Railway Engineering Society,2022,39(8):24-29.
［4］张琦,朱合华,黄贤斌,等.基于Mamdani模糊推理的山岭隧道围岩RMR14分级［J］.岩土工程学报,2017,39(11):2116-2124. ZHANG Qi,ZHU Hehua,HUANG Xianbin,et al.A new rock mass rating method based on Mamdani fuzzy inference for rock tunnels［J］.Chinese Journal of Geotechnical Engineering,2017,39(11):2116-2124.
［5］孙敬乐,秦刚,陈忠孝,等.基于模糊推理的高铁简支桥梁损伤识别研究［J］.国外电子测量技术,2021,40(6):94-99. SUN Jingle,QIN Gang,CHEN Zhongxiao,et al.Research on damage identification of simply supported high-speed railway bridge based on fuzzy reasoning［J］.Foreign Electronic Measurement Technology,2021,40(6):94-99.
［6］祝青鑫,王浩,茅建,等.基于ANFIS的环境激励下桥梁结构应变响应预测分析［J］.中国公路学报,2019,32(11):62-70. ZHU Qingxin,WANG Hao,MAO Jian,et al.Prediction of strain response of bridges under ambient excitation based on adaptive network-based fuzzy inference system ［J］.China Journal of Highway and Transport,2019,32 (11):62-70.
［7］WANG T,CHENG Y,TONG S C.Fuzzy reasoning models and algorithms on type-2 fuzzy sets［J］.International Journal of Innovative Computing,Information and Control,2008,4(10):2451-2460.
［8］CHENG Y,WANG D,TONG S.Forecasting studies by designing Mamdani interval type-2 fuzzy logic systems:with the combination of BP algorithms and KM algorithms［J］.Neurocomputing,2016,174:1133-1146.
［9］SHANG Y,YUAN X,LEE E S.The n-dimensional fuzzy sets and Zadeh fuzzy sets based on the finite valued fuzzy sets［J］.Computers & Mathematics with Applications,2010,60(3):442-463.
［10］亓兴军,孙绪法,王珊珊,等.基于模态参数识别的简支梁桥模态挠度预测试验研究［J］.建筑科学与工程学报,2023,40(5):129-137. QI Xingjun,SUN Xufa,WANG Shanshan,et al.Experimental research on modal deflection prediction of simply supported girder bridge based on modal parameter identification［J］.Journal of Architecture and Civil Engineering,2023,40(5):129-137.
［11］吴多,刘来君,张筱雨,等.基于曲率模态曲线变化的桥梁损伤识别［J］.建筑科学与工程学报,2018,35(2):119-126. WU Duo,LIU Laijun,ZHANG Xiaoyu,et al.Bridge damage identification based on the curvature-mode curve［J］.Journal of Architecture and Civil Engineering,2018,35(2):119-126.
［12］YUN Z,JIAN G,GUO L,et al.Research on single damage identification of multi-span bridge based on influence line［C］//IOP Conference Series:Earth and Environmental Science,2021,760:012001.
［13］FAN C,ZHENG Y,WANG B,et al.Damage identification method for tied arch bridge suspender based onquasi-static displacement influence line［J］.Mechanical Systems and Signal Processing,2023,200:110518.
［14］薛新华,魏永幸,赵晓彦.基于模糊控制的单桩竖向极限承载力预测［J］.建筑科学与工程学报,2010,27(4):25-30. XUE Xinhua,WEI Yongxing,ZHAO Xiaoyan.Predicting of vertical ultimate bearing capacity of single pile based on fuzzy control［J］.Journal of Architecture and Civil Engineering,2010,27(4):25-30.
［15］高庆狮，高小宇，胡月.概率论基本部分与模糊集合理论的统一定义［J］.大连理工大学学报,2006(1)：141-150. GAO Qingshi，GAO Xiaoyu，HU Yue.A uniform definition of fuzzy set theory and fundamental of probability theory［J］.Journal of Dalian University of Technology,2006(1)：141-150.
［16］LI L.Research to the moisture meter based on fuzzy theory［J］.Journal of Transcluction Technology,2003(1):69-73.
［17］SAWYER J P,RAO S S.Structural damage detection and identification using fuzzy logic［J］.AIAA Journal,2012,38(12):2328-2335.
［18］WANG L X,MENDEL J M.Generating fuzzy rules by learning from examples［J］.IEEE Transactions on Systems Man & Cybernetics,2002,22(6):1414-1427.
［19］王永富,王殿辉,柴天佑.一个具有完备性和鲁棒性的模糊规则提取算法［J］.自动化学报,2010，36(9):1337-1342. WANG Yongfu,WANG Dianhui,CHAI Tianyou.Extraction of fuzzy rules with completeness and robustness［J］.Acta Automatica Sinica,2010，36(9):1337-1342.
［20］张敬珍，许汉铮.影响面加载程序设计［J］.长安大学学报(自然科学版)，2002，22（5）:35-38. ZHANG Jinzhen,XU Hanzheng.Program design of loading on influence surface［J］.Journal of Xi’an Highway University，2002，22（5）:35-38.
［21］WAN L,XIE X,WANG L,et al.New damage identification method for operational metro tunnel based on perturbation theory and fuzzy logic［J］.KSCE journal of Civil Engineering,2022,26(1):193-206.
［22］JIAO Y B,LIU H B,CHENG Y C,et al.Damage identification of bridge based on Chebyshev polynomial fitting and fuzzy logic without considering baseline model parameters［J］.Shock and Vibration,2015(1):1-10.

相似文献/References:

[1]袁春燕,王坤,陈虹燕,等.基于人员心理-环境因素的火灾疏散速度修正方法研究[J].中国安全生产科学技术,2020,16(7):112.[doi:10.11731/j.issn.1673-193x.2020.07.018]
　YUAN Chunyan,WANG Kun,CHEN Hongyan,et al.Study on correction method of fire evacuation speed based on personnel psychological and environmental factors[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(8):112.[doi:10.11731/j.issn.1673-193x.2020.07.018]

备注/Memo

备注/Memo:
收稿日期： 2024-01-08
* 基金项目： 国家自然科学基金项目(51868045)
作者简介： 项长生，博士，副教授，主要研究方向为结构健康监测及损伤识别。
更新日期/Last Update: 2024-08-26