Numerical evaluation method of lightning rod protection probability北大核心CSCD

［Objectives］Aiming at the current situation in which it is difficult to efficiently evaluate protection probability through traditional lightning rod evaluation methods, an efficient numerical evaluation algorithm is developed on the basis of an electrogeometric model (EGM) and attractive volume to realize the efficient calculation of lightning protection probability at any point in space.［Methods］This method first determines the attractive volume boundary of the lightning rod and protection object according to the interception process of the upward and downward leaders. The collection surface and exposure arc of the lightning stroke distance are then calculated, enabling the attractive risk and interception effect of the lightning rod to be quantified. Finally, the attraction and interception characteristics of the lightning rod are integrated to establish a numerical evaluation model of protection probability. To verify the accuracy of this method, the general rule of lightning rod protection probability is analyzed and the results compared with the existing analysis method.［Result］The evaluation results of this method show good agreement with those of classical leader progression model (LPM) theory.［Conclusions］ The method proposed herein has a high degree of quantification and can realize the efficient calculation of lightning protection probability at any point in space, which can provide useful references for lightning protection design work. © 2023 Authors. All rights reserved.     

基于消声器异响现象的箱体尾管加长测试与分析

为研究陕汽F3000和X3000两款自卸车后处理噪声异常问题，在不同转速下对两款自卸车进行原方案和加长尾管优化方案进行试验研究。结果表明：两款自卸车的驾驶室内和尾管OA噪声及阶次噪声水平整体差不多，排气消声器无质量问题；经加长尾管优化后，两款自卸车在各转速下的尾管后500 mm处OA噪声及阶次噪声水平均出现显著下降，频率在5 000～12 000 Hz处与转速在900～1 500 r/min区域的高亮彩带明显变弱，仅在1 100～1 300 r/min转速间出现能量较弱的彩带，异响不明显。     

面向时间敏感网络的车载以太网网络架构多目标优化

车载电子电气架构的网络架构深刻影响智能网联车辆的通信安全性和确定性。针对面向时间敏感网络（TSN）的区域-功能域电子电气架构，本文首次建立了以端口数均匀、负载均衡和信息流端到端延时最低为优化目标的网络架构多目标优化框架。通过求解TSN流量调度问题获得信息流延时，将流量调度抽象为周期性车间作业调度问题（JSP），提出适用于流量调度的多种群遗传算法（MPGA），相比于传统遗传算法求解效果提高16%。为了快速求解多目标优化问题，设计了改进的快速非支配排序遗传算法（NSGA-II），通过引入迭代因子和拥挤因子对算法进行自适应交叉变异概率改进，优化效率提高了25%。仿真验证了多目标优化框架的有效性并为面向TSN的车载以太网网络架构优化提供了一种设计思路。