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基于高斯克里金代理模型对模拟高放废液煅烧产物性能影响因素的研究北大核心CSCD
引用本文:张华,李宝军,李扬,张克乾,贺诚,洪业. 基于高斯克里金代理模型对模拟高放废液煅烧产物性能影响因素的研究北大核心CSCD[J]. 核化学与放射化学, 2023, 45(1): 76-86. DOI: 10.7538/hhx.2023.45.01.0076
作者姓名:张华  李宝军  李扬  张克乾  贺诚  洪业
作者单位:中国原子能科学研究院 放射化学研究所,北京102413
摘    要:高放废液煅烧产物是两步法冷坩埚玻璃固化工艺中间过程产物,其性能(如:煅烧产物含水率和堆积密度、脱硝率等)对于整体系统工艺控制和玻璃产品质量有较为重要的影响。通常影响煅烧产物性能的因素包括:回转煅烧炉加热温度、炉体倾角(倾角)、炉体转速(转速)、模拟废液组分等。为了获得不同煅烧产物影响因素对其性能影响程度,采用高斯克里金代理模型对燃耗33 GW·d/t(以U计,下同)和45 GW·d/t乏燃料模拟高放废液在台架开展的转形工艺试验数据进行影响因素计算和分析,结果显示:该试验条件下,煅烧产物堆积密度的影响因素排序是模拟废液组分>倾角>转速;含水率主要影响因素排序是倾角>模拟废液组分>转速等。同时,采用建立的代理模型对高放废液转形试验四种加热温度、五种倾角和两种模拟废液组分产生的煅烧产物含水率和堆积密度进行预测,显示前两区加热温度在540~680℃、炉体倾角为3%作为试验参数对于煅烧产物性能较为合适。由此,通过代理模型方法用于辨识煅烧产物性能影响因素的研究分析方法可为工艺优化过程提供基础数据和技术支撑。

关 键 词:高斯克里金代理模型  煅烧产物  影响因素

Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model
ZHANG Hua,LI Bao-jun,LI Yang,ZHANG Ke-qian,HE Cheng,HONG Ye. Study on Influence Factors of Calcined Products From Simulated HLLW Based on Gaussian Kriging Agent Model[J]. Journal of Nuclear and Radiochemistry, 2023, 45(1): 76-86. DOI: 10.7538/hhx.2023.45.01.0076
Authors:ZHANG Hua  LI Bao-jun  LI Yang  ZHANG Ke-qian  HE Cheng  HONG Ye
Affiliation:China Institute of Atomic Energy, P. O. Box 275(93), Beijing 102413, China
Abstract:The calcined product of the high-level liquid waste(HLLW) is the intermediate product of two-step cold crucible glass solidification process. Its performance(such as water content, bulk density, denitration efficiency and so on) has an important impact on the process control of the whole system and glass product quality. Generally, the factors affecting the performance of calcined products include: the heating temperature of rotary calciner, the inclination angle of furnace body, the rotation speed of furnace body, the composition of simulated waste liquid, etc. In order to obtain the influence degree of different calcined products on their performance, the Gauss Kriging(GP) surrogate model is used to calculate and analyze the influence factors on the experimental data of the transformation process carried out on the bench for the simulated HLLW of spent fuel with burnup of 33 GW·d/t U and 45 GW·d/t U. The results show that the main influencing factor seqencing of the bulk density of calcined products under the experimental conditions is the composition of simulated liquid waste>the angle of furnace body>the rotation speed, and the main influencing factor seqencing of water content is the angle of furnace body> the composition of simulated liquid waste> the rotation speed. At the same time, the established proxy model is used to predict the water content and bulk density of calcined products produced by four heating temperatures, five inclination gradients and two simulated waste liquid component tests in the high-level waste liquid transformation test. It shows that is more suitable for the performance of calcined products, as the heating temperature in the first two areas between 540-680 ℃, and the angle of furnace body with 3%. Therefore, the method of identifying the factors affecting the performance of calcined products by agent model method is feasible, and can provide basic data and technical support for the optimization process.
Keywords:Gaussian Kriging agent model  calcined product  influence factors  
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