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Yi Liu,이창길,Zengliang Gao 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.3
Traditional empirical correlations and models have found insufficient to predict the flooding velocityaccurately mainly because there are many kinds of random packings which exhibit differentcharacteristics. In this work, a novel data-driven modeling method, i.e. ensemble least squares supportvector regression (ELSSVR), is proposed to construct a unified correlation for prediction of the floodingvelocity for packed towers with random packings. The flooding data are first clustered into severalclasses by the fuzzy c-means clustering algorithm. Then, several single LSSVR models can be trainedusing each sub-class of samples to capture the special characteristics. Moreover, a weighted least squaresapproach is adopted to integrate these single LSSVR models. Consequently, the ELSSVR model can extractthe feature information of flooding data effectively and improve the prediction performance. Theproposed ELSSVR method is applied to construct a unified correlation for prediction of the floodingvelocity in randomly packed towers. The obtained results for several kinds of random packingsdemonstrate that the ELSSVR-based correlation can obtain better prediction performance, comparedwith the traditional semi-empirical correlations and artificial neural networks-based models. Finally, adatabase containing the modeling information of flooding velocity in randomly packed towers of China isprovided for academic research.
Effects of temperature on the local fracture toughness behavior of Chinese SA508-III welded joint
Li Xiangqing,Ding Zhenyu,Liu Chang,Bao Shiyi,Qian Hao,Xie Yongcheng,Gao Zengliang 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.8
The structural integrity of welded joints in the reactor pressure vessel (RPV) is directly related to the safety of nuclear power plants. The RPV is made from SA508-III steel in a pressurized water reactor. In this study, we investigated the effects of temperature on the tensile and fracture toughness properties of Chinese SA508-III welded joint in different sampling areas in order to provide reference data for structural integrity assessments of RPVs. The specimens used in tensile and fracture toughness tests were fabricated from the base metal (BM), weld metal (WM), and the heat-affected zone (HAZ) in the welded joint. The representative testing temperatures included the ambient temperature (20 C), upper shelf temperature (100 C), and service temperature (320 C). The results showed that temperature greatly affected the fracture toughness (JIC) values for the SA508-III welded joint. The JIC values for BM and HAZ both decreased remarkably from 20 C to 320 C. The fracture morphologies showed that the BM and HAZ in the welded joint exhibited fully ductile fracture at 20 C, whereas partial cleavage fracture was mixed in ductile fracture mode at 100 C and 320 C. The WM exhibited the ductile and cleavage fracture mixed mode at various temperatures, and the JIC values showed slight changes
A heat transfer tube wear reliability analysis method based on first-order reliability method
Xiao Chen,Xing He,Lichen Tang,Yuebing Li,Mingjue Zhou,Weiya Jin,Zengliang Gao 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.6
The heat transfer tube is one of the most essential components of the nuclear power plant as the boundary between the first and second circuit pressures. The wear between the heat transfer tube and the support plate or the anti-vibration strip is one of the essential reasons for its failure. Based on a heat transfer tube wear analysis method, combined with the reliability analysis theory, the calculation scheme of tube wear failure probability is proposed in this paper. In the analysis and calculation process, the key factors affecting the reliability are determined, including the baffle thickness B and the aperture difference Ce. In the manufacturing process, these key factors can be controlled, which is instructive for engineering practice.