中国人民解放军陆军军事交通学院

A simulation of the Michelson interferometer based on first-principles was conduc-ted to investigate the influencing factors of interference fringes.The simulation results show that angular deflections of the mirror and beam splitter cause the interference fringes to trans-form between circles,ellipses,and straight lines.When the compensating plate is insuffi-ciently compensated,the interference fringes deviate from circular patterns.In the absence of a compensating plate,the interference fringes transform between ellipses,approximate straight fringes,or hyperbolas as the distance between the two mirrors changes,with two critical points observed.The numerical simulation results are in good agreement with the ex-perimental findings.

This study proposes a traffic strategy to improve the efficiency of vehicles passing through unsignalized intersections under vehicle-infrastructure cooperation,with the objectives of reducing vehicle acceleration change rate and target vehicle travel time.The study establishes a vehicle road collaboration scenario,divides dynamic conflict areas and static conflict areas,defines model input parameters,constructs a vehicle traffic sequence model and vehicle motion state control model,and verifies the effectiveness of the models through SIMULINK simulation.In common and special traffic scenarios,the strategy reduces the average maximum acceleration change rate during the vehicle deceleration phase by 17.27％and 45.95％,average amplitude of vehicle acceleration change by 37.06％and 38.89％,average maximum acceleration by 37.53％and 48.2％,and average travel time by 41.33％and 44.31％,respectively.In addition,compared to similar algorithms in the literature,this strategy optimizes the average travel time by 42.82％and average vehicle speed by 45.8％.The optimization effect is significant,and both indicators are more balanced.Simultaneously,the vehicle speed does not fluctuate frequently,and the ride comfort improves.Therefore,this strategy significantly improves overall traffic efficiency without much sacrifice to the comfort performance of partial vehicles.

This paper focuses on the task allocation and path planning problem for aircraft material delivery,considering two complexity factors:aircraft loss caused by malicious interference and delivery timeliness.It establishes an objective function to be optimized,which includes aircraft loss,total mileage,and untimely supply rate.Meanwhile,it proposes an optimization approach based on prior knowledge such as ＂task merging＂ and ＂saturation supply＂,and implements an im-proved genetic algorithm.Simulation results show that the improved genetic algorithm with fused prior knowledge addresses the slow convergence problem caused by a large search space,improving the solution speed and optimization effect of the model.

To solve the problems of lack of prior information and incomplete reliability of monitoring data in structural safety assessment of large liquid tanks（LLT）, a structural safety assessment model of large liquid tanks considering environmental disturbance is proposed based on the belief rule base（BRB） and finite element method（FEM）. First, the FEM estimates the basic parameters of the proposed model using industry standards and subjectmatter knowledge. Secondly, the index credibility is calculated based on the information consistency method to reflect the influence of disturbance factors on the monitoring data in actual engineering. Then, a new fusion method can be used to integrate the index credibility into the model reasoning process to complete the construction of the proposed model. Finally, a 100,000 m~3 oil storage tank is selected as the research object to verify the effectiveness of the proposed model. The results show that the proposed model can not only effectively deal with the problem of unreliable monitoring data, but also take into account the internal structure mechanism of large liquid tanks, thereby minimizing the negative effects of a lack of prior knowledge on the accuracy of the assessment.