定位格架防勾挂与热工性能协同设计研究

定位格架是燃料组件骨架结构的重要组成部分,其主要功能是夹持定位燃料棒,同时还应考虑防勾挂性能和热工性能。本文从主流燃料组件的运行经验反馈出发,利用三维建模软件UG模拟格架相对运动的方法,对产生勾挂的原因进行分析,明确了外条带导向翼采用连续排列能有效提高防勾挂性能,并通过定位格架勾挂试验进行了验证;通过对定位格架所在边栅元内的计算流体力学（CFD）模拟分析,发现基于传统防勾挂设计的导向翼连续排列形式不利于相邻格架之间的热工性能;在此基础上,设计了导向翼高矮交替排列的方案。理论分析和试验验证结果表明,该方案实现了燃料组件定位格架防勾挂与热工性能的协同设计。      

Analysis and improvement of the influence of sample shape on Pu measurement results

ABSTRACT

The analysis method of Fast Neutron Multiplicity Counting (FNMC) plays an increasingly important role in the measurement of nuclear material properties. Based on the assumption of point model, fast neutron multiplicity measurement equation is derived which can be used to measure the mass of Pu sample. However, the deviation of the simulated measurement of 1 kg Pu sample reaches 16.6% and increases with mass. Because nonpoint source samples of different shapes do not fully satify the hypothesis. To correct this deviation, a set of fast neutron multiplicity counters was built by Geant4 to simulate and study the mass attribute of Pu samples.The cylindrical sources of different shapes and different masses were simulated, the self-multiplication factor and α coefficient were corrected.And the corresponding third-order polynomial fitting equation was obtained, the goodness of fit was greater than 0.970. In the same way, the spherical and spherical shell source samples in the mass range of 0–5 kg were analyzed, the corrected mass deviation of samples was less than 10% in this interval. The results show that the combination of the fast neutron multiplicity counter and parameter correction can accurately measure the sample mass attribute.     

基于SOM聚类算法的核级管道支吊架根部智能选型研究

基于数据挖掘技术,对核级管道支吊架根部智能选型数据预处理方法开展了研究,研究了根部选型预处理的分类方法,设计了数据预处理流程,确定了支吊架根部选型的优先级顺序;基于自组织映射网络(SOM)聚类算法,研究了支吊架根部智能选型数据的计算流程;设计了实验平台,基于实际工程数据,验证了算法的可行性和有效性,证明了数据的预处理及聚类效果明显。     

用于激光打靶实验数据采集处理和管理的微机局域网系统

介绍了一套基于微机局域网的ICF综合实验数据采集和处理系统，从基本物理实验需求的分析到系统软硬件的选择，物理测试节点的入网和实验数据的共享和管理等方面阐述了其整个建立过程，给出了实用系统的结构和其应用情况。     

电磁辐射防护材料人体防护性能评价研究

本文采用高分辨率人体电磁辐射模型和非均匀网络时域有限差分法(FDTD),通过比较人体模型在防护前后全身平均比吸收率SAR的变化,建立了防护材料对人体防护性能的评价方法。利用此方法,针对不同频率、不同入射角度的电磁辐射,对不同防护材料的防护性能进行了评价。结果表明,防护材料的防护性能并不仅仅取决于其屏蔽性能,还与防护方式、照射方式等密切相关。局部防护方式对被防护的器官有良好的防护效果。相对于水平照射,斜向上照射时,防护效果较差;斜向下照射时,防护效果较好。     

螺旋藻(Spirulina Platensis)多糖蛋白对辐射诱发小鼠PCE微核率及白细胞数的影响

本试验通过对NIH小鼠骨髓细胞微核分析及外周血白细胞计数表明,螺旋藻多糖蛋白能显著减轻辐射对小鼠PCE微核率及白细胞数的影响。故螺旋藻多糖蛋白有可能作为一种新的有效的天然辐射防护剂。     

贵州省望谟县耕地土壤重金属含量特征及影响因素

伴随社会经济快速发展,土壤重金属污染越来越成为人们关注的环境问题。为有效预防土壤重金属污染,以贵州省望谟县耕地表层土壤为研究对象,应用经典统计分析、相关性分析等方法,研究重金属元素含量特征及其影响因素。研究结果表明,该地区耕地土壤重金属元素Cd、Cr、Hg、Ni含量较高,均高于全国背景值,其含量主要受成土母质影响,在泥盆系、石炭系、二叠系的碳酸盐岩分布区平均含量较高,在陆源碎屑岩分布区含量普遍较低。该研究结果为该县耕地种植规划和农产品结构调整等提供了依据。     

Aging model development based on multidisciplinary parameters for lithium-ion batteries

In this paper, a method composed of state of health (SOH) testing experiments and artificial intelligence simulation is proposed to carry out the study on the change of battery characteristic during its operation and generate mathematical models for the prediction of aging behaviour of battery. An experiment comprising of multidisciplinary parameters-based SOH detection is conducted to study the battery aging characteristics from several aspects (ie, electrochemistry, electric, thermal behaviour and mechanics). In total, 200 sets of data (corresponding 200 charging/discharging cycles) are collected from the experiment. The data obtained from the first 150 cycles are employed in generation of the models. The result of sensitivity analysis based on the obtained genetic programming models shows that it is better to apply voltage value at the end of charging step, charging time and cycle number to predict the operational performance of the battery. The average predicted accuracy of model (without stress) is 94.52%, whereas the average predicted accuracy of model (with stress effect) is 99.42%. The proposed models could be useful for defining the optimised charging strategy, fault diagnosis and spent batteries disposal strategies.