高功率密度柴油机智能化冷却系统控制策略

简要分析了未来坦克装甲车辆柴油机智能化控制冷却系统的必要性和可行性,提出了智能化冷却系统设计方案,阐述了其组成及工作原理,重点对智能化冷却系统控制策略进行了研究。针对某型柴油机,通过对其散热需求分析,提出了基于发动机工况的开环控制策略,同时,结合以发动机出口冷却水温度为控制目标提出了基于PID算法的闭环反馈控制策略。应用该策略可保证发动机在不同的环境和工况下冷却强度适宜,降低冷却系统的功耗。     

红外热像水面寻迹探测的理论分析

针对目前探潜方面存在的问题 ,给出了密度分层环境下潜艇排出热尾流的浮升规律模型 ,预估了水面热轨迹的大体形状 ,并对热成像探潜系统的关键技术指标进行了理论分析 .     

膨胀型阻燃聚丙烯的制备及热分解动力学研究

以五氧化二磷／季戊四醇／三聚氰胺为原料合成了聚合型膨胀阻燃剂，并制备了膨胀型阻燃聚丙烯。比较和讨论了热分解动力学方法，通过测定体积流速评价了流变性，用热重分析方法研究了膨胀型阻燃聚丙烯的热分解特点。     

金属热防护系统瞬态热分析的并联一维模型

建立了可重复使用运载器金属热防护系统瞬态热分析的并联一维模型.根据热防护系统的结构特点划分了多条热流通路,将各热流通路离散化后给出了单条通路瞬态传热的隐式差分格式,采用热平衡法推导了串、并联两种类型公共节点的局部控制方程,并给出了传热问题中常见边界条件的统一表达式,最终形成了总体控制方程.通过数值计算获得了热防护系统瞬态温度场.计算结果表明:采用并联一维模型可以更真实、更准确地反映热防护系统的传热过程,对于热防护系统结构优化设计有较高的参考价值.     

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing. Owing to the complexity of marine environment and the particularity of underwater acoustic channel, noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing. In order to solve the dilemma, we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), minimum mean square variance criterion (MMSVC) and least mean square adaptive filter (LMSAF). This noise reduction technique, named CEEMDAN-MMSVC-LMSAF, has three main advantages: (i) as an improved algorithm of empirical mode decomposition (EMD) and ensemble EMD (EEMD), CEEMDAN can better suppress mode mixing, and can avoid selecting the number of decomposition in variational mode decomposition (VMD); (ii) MMSVC can identify noisy intrinsic mode function (IMF), and can avoid selecting thresholds of different permutation entropies; (iii) for noise reduction of noisy IMFs, LMSAF overcomes the selection of decomposition number and basis function for wavelet noise reduction. Firstly, CEEMDAN decomposes the original signal into IMFs, which can be divided into noisy IMFs and real IMFs. Then, MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs. Finally, both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained. Compared with other noise reduction techniques, the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals, which has the better noise reduction effect and has practical application value. CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection, feature extraction, classification and recognition of underwater acoustic signals.     

关于右连左极函数的Gronwall不等式

给出了传统意义下的Gronwall不等式的推广形式,并且给出了在右连左极函数积分下的一种Gronwall不等式。     

Balancing a one‐way corridor capacity and safety‐oriented reliability: A stochastic optimization approach for metro train timetabling

In urban rail transit systems of large cities, the headway and following distance of successive trains have been compressed as much as possible to enhance the corridor capacity to satisfy extremely high passenger demand during peak hours. To prevent train collisions and ensure the safety of trains, a safe following distance of trains must be maintained. However, this requirement is subject to a series of complex factors, such as the uncertain train braking performance, train communication delay, and driver reaction time. In this paper, we propose a unified mathematical framework to analyze the safety‐oriented reliability of metro train timetables with different corridor capacities, that is, the train traffic density, and determine the most reliable train timetable for metro lines in an uncertain environment. By employing a space‐time network representation in the formulations, the reliability‐based train timetabling problem is formulated as a nonlinear stochastic programming model, in which we use 0‐1 variables to denote the time‐dependent velocity and position of all involved trains. Several reformulation techniques are developed to obtain an equivalent mixed integer programming model with quadratic constraints (MIQCP) that can be solved to optimality by some commercial solvers. To improve the computational efficiency of the MIQCP model, we develop a dual decomposition solution framework that decomposes the primal problem into several sets of subproblems by dualizing the coupling constraints across different samples. An exact dynamic programming combined with search space reduction strategies is also developed to solve the exact optimal solutions of these subproblems. Two sets of numerical experiments, which involve a relatively small‐scale case and a real‐world instance based on the operation data of the Beijing subway Changping Line are implemented to verify the effectiveness of the proposed approaches.     

材料力学性能纳米压入测试仪器发展综述

综述了材料力学性能纳米压入测试仪器的发展现状。阐述了纳米压入测试技术的发展历程;从驱动、载荷测量和位移测量3方面对目前材料力学性能纳米压入测试仪器的基本结构进行了比较分析;介绍了材料力学性能纳米压入测试仪器集成技术,包括影响压入深度测量精度的集成技术、观测技术、大载荷模块和高温试验模块等;最后,对未来材料力学性能纳米压力测试仪器的发展趋势作了展望。