检索结果-南通市图书馆

Testing the Setting and Hardening of Concrete Using the Prism Technique

引用

Journal of Physical Science and Application 2016年第6期6卷 29-38页

作者： F. Kemiha A. Bouhadjera M. Grimes T. benkedidah ndt lab Abdelhak ben Hamouda University Jijel Algeria

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

CPSO-XGBoost segmented regression model for asphalt pavement deflection basin area prediction

引用

Science China(Technological Sciences) 2022年第7期65卷 1470-1481页

作者： LI ZhuoXuan SHI XinLi CAO JinDe WANG XuDong HUANG Wei School of Mathematics Southeast UniversityNanjing 210096China School of Cyber Science&Engineering Southeast UniversityNanjing 210096China Yonsei Frontier lab Yonsei UniversitySeoul 120-749Korea Research Institute of Highway Ministry of TransportBeijing 100088China Intelligent Transportation System Research Center Southeast UniversityNanjing 210096China

The use of non-destructive testing(ndt) equipment, such as the falling weight deflectometer(FWD), provides important estimates of road health and helps to optimize road management regimes. However, periodic road testing and post-processing of the collected data are cumbersome and require much expertise, a considerable amount of time, money, and other resources. This study attempts to develop a reliable prediction method for estimating the deflection basin area of different asphalt pavements using road temperature, load time, and load pressure as main characteristics. The data are obtained from 19 kinds of asphalt pavements on a 2.038-km-long full-scale fleld accelerated pavement testing track named RIOHTrack(Research Institute of Highway Track) in Tongzhou, Beijing. In addition, a chaotic particle swarm algorithm(CPSO) and a segmented regression strategy are proposed in this paper to optimize the XGBoost model. The experiment results of the proposed method are compared with those of classical machine learning algorithms and achieve an average of mean square error and mean absolute error respectively by 5.80 and *** experiments demonstrate the superiority of the XGBoost algorithm over classical machine learning methods in dealing with nonlinear problems in road engineering. Signiflcantly, the method can reduce the frequency of deflection tests without affecting its estimation accuracy, which is a promising alternative way to facilitate the rapid assessment of pavement conditions.

关键词： FWD pavement management systems RIOHTrack deflection basin area CPSO XGBoost segmented regression model

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Health condition monitoring with multiple physical signals in tensile test for double-material friction welding

引用

Journal of Central South University 2012年第10期19卷 2705-2711页

作者：张玉波徐滨士王海斗杨大祥朱丽娜 State Key lab for Remanufacturing(Academy of Armored Forces Engineering) School of Engineering and Technology China University of Geosciences

The manifold physical signals including micro resistance,infrared thermal signal and acoustic emission signal in the tensile test for double-material friction welding normative samples were monitored and collected dynamically by TH2512 micro resistance measuring apparatus,flir infrared thermal camera and acoustic emission equipment which possesses 18 bit PCI-2 data acquisition *** acoustic emission and thermal infrared ndt(non-destructive testing) means were used to verify the feasibility of using resistance method and to monitor dynamic damage of the *** research of the dynamic monitoring system was carried out with multi-information fusion including resistance,infrared and acoustic *** results show that the resistance signal,infrared signal and acoustic emission signal collected synchronously in the injury process of samples have a good ***,thermal and acoustic signals can more accurately capture initiation and development of micro-defects in the *** dynamic micro-resistance method to monitor damage is *** method of multi-information fusion monitoring damage possesses higher reliability,which makes the establishing of health condition diagnosing and early warning platform with multiple physical information monitoring possible.

关键词：物理信号状态监测摩擦焊接拉伸试验健康状况双材料声发射信号多信息融合

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

The MFL Testing Methods for Welded Pipes

引用

Journal of Measurement Science and Instrumentation 2011年第4期2卷 330-332页

作者：孙燕华伍剑波康宜华 State Key lab of Digital Manufacturing Equipment & Technology Huazhong University of Science and Technology

Steel pipes are categorized into seamless pipes and welded pipes,and particularly the welded pipes’ ndt(Non-Destructive Testing)has been a challenging *** the case,on the basis of the presentation of welded pipes,the analysis of its relevant testing key is carried ***,the MFL(Magnetic Flux Leakage)methods for longitudinally welded line-pipes and for helically welded pipes are respectively ***,their relevant experiments are conducted,and finally the two technologies for the two types of welded pipes are verified well.

关键词：螺旋焊管漏磁检测无缝钢管无损检测直缝焊管挑战性 ndt MFL

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Non-destructive Testing of CFRP Using Pulsed Thermographic Data Enhanced by Wavelet Transform-based Image Denoising

Non-destructive Testing of CFRP Using Pulsed Thermographic D...

引用

第36届中国控制会议

作者： Jian-Guo Wang Zhi-Duo Cao Bang-Hua Yang Shi-Wei Ma Min-Rui Fei Shi-Qi Huang Yuan Yao Tao Chen Xiao-Fei Wang School of Mechatronical Engineering and Automation Shanghai UniversityShanghai Key Lab of Power Station Automation Technology Department of Chemical Engineering National Tsing-Hua University Department of Chemical and Process Engineering University of Surrey Shanghai Zhenhua Heavy Industries Company Limited

ISBN: (纸本)9781538629185

Pulsed thermography（PT） is a widely used non-destructive testing（ndt） technique for defect detection in carbon fiber reinforced polymers（CFRP） *** signal reconstruction（TSR） is often employed to process thermographic data due to its excellent performance in enhancing the contrast between defects and ***,TSR does not reduce the noise of thermographic data *** solve this problem,this thesis proposes an image denoising method based on wavelet *** experiment results show that dealt with wavelet transform the characteristics of the defective regions are more clearly compared with previous *** the signal-to-noise ratio（SNR） values are improved obviously at the same time.

关键词： Pulsed Thermography Non-Destructive Testing Thermographic Signal Reconstruction Wavelet Transform

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：