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Method of effective evaluation for examination of chloride ion in concrete
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作者 SUNGWen-pei CHENKuen-suan LINHsue-chun 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2005年第3期159-165,共7页
The chloride ion contained in reinforced concrete seriously corrodes the steel surface and damages concrete, resulting in inferior reinforced concrete that strength seriously compromises the entire structure’s safety... The chloride ion contained in reinforced concrete seriously corrodes the steel surface and damages concrete, resulting in inferior reinforced concrete that strength seriously compromises the entire structure’s safety. Consequently, the examination of chloride ions contained in reinforced concrete becomes an important part of a complete quality control procedure. To effectively check the concentration of chloride ions in concrete, the evaluation process should be accurate and precise. Laboratory data ob- tained using existing evaluation methods for the examination of chloride ion are not sufficiently objective to yield reliable results with accuracy and consistency for each sample. An evaluation algorithm with capability to define indices of precision degree (Ep) and accuracy degree (Ea) is presented in this paper. The authors established a statistically reliable index of unbiased estimators and equations to critically examine the laboratory methods’ precision, accuracy degrees and application value for measuring chlorine ion concentration in reinforced concrete. 展开更多
关键词 Concrete quality control Multi-laboratory Test error Accuracy degree Precision degree Natural estimator Acceptance testing Examination methods Evaluation criteria
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Statistical Diagnosis and Gross Error Test for Semiparametric Linear Model 被引量:1
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作者 DING Shijun ZHANG Songlin JIANG Weiping WANG Shouchun 《Geo-Spatial Information Science》 2009年第4期296-302,共7页
This paper systematically studies the statistical diagnosis and hypothesis testing for the semiparametric linear regression model according to the theories and methods of the statistical diagnosis and hypothesis testi... This paper systematically studies the statistical diagnosis and hypothesis testing for the semiparametric linear regression model according to the theories and methods of the statistical diagnosis and hypothesis testing for parametric regression model.Several diagnostic measures and the methods for gross error testing are derived.Especially,the global and local influence analysis of the gross error on the parameter X and the nonparameter s are discussed in detail;at the same time,the paper proves that the data point deletion model is equivalent to the mean shift model for the semiparametric regression model.Finally,with one simulative computing example,some helpful conclusions are drawn. 展开更多
关键词 parametric regression semiparametric linear model influencing analysis statistical diagnosis gross error testing
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Identification and Structure Selection for Nonlinear Stochastic Systems
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作者 罗贵明 《Tsinghua Science and Technology》 SCIE EI CAS 1997年第3期92-95,共4页
A nonlinear model is proposed for effective adaptive control design. The model represents a natural way to describe input output nonlinear systems. A combined parameter off line estimation and structure detection al... A nonlinear model is proposed for effective adaptive control design. The model represents a natural way to describe input output nonlinear systems. A combined parameter off line estimation and structure detection algorithm is developed that can use an initial set of data. Then, an efficient model is obtained using orthogonal estimation with an error reduction test and other monitoring modifications. A recursive on line identification scheme is established based on the ELS algorithm to account for future time variations in the process of the parsimonious model. 展开更多
关键词 nonlinear systems structure selection parameter estimation error reduction test ELS algorithm
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