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纳米金刚石颗粒对发动机润滑油摩擦学特性的影响
张家,刘琨
摩擦学学报 , 2002,
Abstract: 采用爆炸法合成了超精细金刚石颗粒,将金刚石颗粒按一定质量分数分散于普通发动机润滑油(15W/30)中形成固-液二相体系,考察了其摩擦学特性,并分析了润滑剂的减摩抗磨作用机理.结果表明,在边界润滑条件下,由于纳米尺寸效应,超精细金刚石颗粒较易渗透到摩擦副表面并形成极薄的固体润滑膜,从而使得金刚石颗粒/发动机润滑油固-液二相体系表现出优异的承载能力和减摩抗磨性能
内燃机磨合与表面改性实验研究
张家,朱均
摩擦学学报 , 2001,
Abstract: 针对EQ6100型汽油机,利用内燃机磨合台架试验装置对所研制的内燃机专用磨合油与普通15W/40内燃机油进行对比磨合试验,对磨合油液进行直读铁谱分析,对缸套-活塞环磨合表面形貌及元素组成进行测试分析。结果表明:专用磨合油的磨合效果明显优于普通内燃机油;超细金刚石微粉可以加速磨合进程,分化并减小磨屑尺寸,从而避免缸壁拉伤和改善缸套-活塞环摩擦副的摩擦学特性。
健康自我管理认知对体育专业大学生体育锻炼行为的影响
The Effect of Health Self-Management Cognition on Physical Activity Behavior of College Students Majoring in Physical Education
 [PDF]

黄思思, 张家, 蒋心萍
Advances in Physical Sciences (APS) , 2024, DOI: 10.12677/APS.2024.121024
Abstract: 目的:调查健康自我管理认知对体育专业大学生体育锻炼行为的影响,为提升大学生体育教学效果提供科学依据。方法:于2023年9~10月选取广西2所高校470名大学生,采用成年人健康自我管理能力认知分量表、体育活动等级量表进行调查。结果:体育专业大学生健康自我管理认知量表评分(62.74 ± 6.376)分,体育锻炼行为量表评分(43.47 ± 25.846)分,不同性别、受教育程度、家庭居住地、自觉身体状况在体育专业大学生体育锻炼行为量表评分比较差异有统计学意义(P < 0.01),健康信念是体育专业大学生体育锻炼行为的影响因素(B = 0.856, P < 0.01)。结论:健康信念是体育专业大学生体育锻炼行为的影响因素,具有正向作用,可针对性制定提升体育教学效果的措施。
Objective: To investigate the influence of health self-management cognition on the physical exercise behavior of college students, and to provide a scientific basis for improving the teaching effect of physical education among college students. Methods: From September to October 2023, 470 college students from 2 universities in Guangxi Province were selected to conduct the survey using the Adult Health Self-Management Ability Cognitive Subscale and Physical Activity Rating Scale. Results: The scores for the health self-management cognition scale for sports major university students were (62.74 ± 6.376) points, and for the physical exercise behavior scale were (43.47 ± 25.846) points. There were statistically significant differences (P < 0.01) in the physical exercise behavior scale scores when comparing different genders, educational levels, family residences, and self-perceived health conditions. Health belief was identified as an influencing factor for the physical exercise behavior of sports major university students (B = 0.856, P < 0.01). Conclusion: Health belief is the influencing factor of physical exercise behavior of college students majoring in physical education, which has a positive effect, and measures to improve the effectiveness of physical education teaching can be formulated in a targeted manner.
Experimental Study of Running-in and Surface Modification of Internal Combustion Engine
内燃机磨合与表面改性实验研究

ZHANG Jia xi,ZHU Jun,
张家
,朱均

摩擦学学报 , 2001,
Abstract: Comparative running in bench test of EQ6100 engine was carried out to investigate the running in effect of conventional 15W/40 internal combustion engine oil and a specially formulated running in oil for the engine (coded as MR oil). A direct reading ferrograph TPD 2 was used to analyze the wear debris compositions of the tested oil sample after running in. The morphologies and elemental compositions of the surface of cylinder piston ring were observed and examined with a Talysurf 6 profilometer and a scanning electron microscope (SEM) equipped with energy dispersive spectrometer (EDAX). As the results, ultra dispersed diamond (UDD) in MR oil helps to accelerate the running in process and to smash larger wear debris in the running in oil to small ones, therefore to prevent the cylinder bore from abrasion by large hard wear debris. This contributes to improve the tribological properties of cylinder piston ring pair and the running in quality.
辽西台里地区新太古代片麻岩杂岩的形成时代、岩石成因和地质意义
蔡丽斌,金巍,郑培,张家,李斌,王庆龙
矿物岩石 , 2014,
Abstract: 辽西台里地区片麻岩杂岩主要由片麻状花岗岩、黑云斜长片麻岩、角闪斜长片麻岩组成。锆石U-Pb定年结果表明,该套杂岩形成于2510~2559Ma,与“绥中花岗岩”时代相同,同属华北克拉通新太古代结晶岩石。野外产状和岩石组构特征显示,本区片麻岩杂岩为一套同变形的深熔型混合岩。其中,角闪斜长片麻岩代表低度熔融的“古成体”,其间分布少量具“浅色体”特征的长英质岩脉;黑云斜长片麻岩为熔融程度较低的“残留体”;片麻状花岗岩为部分熔融程度最高的“新成体”。它们在矿物组成和地球化学上呈现良好的递变关系。结合前人Hf同位素研究资料,本文认为台里地区片麻岩杂岩可能记录了一期重要的陆壳再造事件。
太行山山前中―新生代伸展拆离构造和年代学
张家,徐杰,万景林,张剑,高占武
地质通报 , 2002,
Abstract: 太行山山前中-新生代伸展滑脱的主拆离构造出现在早前寒武纪变质结晶基底和中元古代以后的沉积盖层之间.卷入拆离带中的变形岩石以断层碎裂岩为主,局部形成大规模由基底和盖层岩石碎片组成的构造混杂岩带,结晶基底顶部未见典型的糜棱岩,拆离过程表现为准塑性-脆性变形机制,形成深度应小于10km.太行山山前拆离滑脱带沿走向分为阜平、赞皇两个独立的区段.拆离带中变形岩石的锆石、磷灰石裂变径迹年龄主要集中在68~52Ma和23~18Ma.结合太行山区夷平面年代和相邻盆地构造分析结果,华北大陆地壳的加厚作用可能发生在白垩纪中期(134±9Ma~92±4Ma),主要的伸展滑脱开始于白垩纪末(68Ma前).
鞍山地区太古宙早期地壳生长及重熔——来自始-古太古代片麻岩杂岩的岩石学及年代学证据
张家,李承东,李斌,王亚飞,郑培,金巍
地质学报 , 2015,
Abstract: 本文报道了鞍山地区新厘定的一套始-古太古代片麻岩杂岩的岩石学特征及锆石U-Pb年代学数据,以探讨太古宙早期地壳的形成及演化过程。杂岩在全区广泛分布,野外以包体形式产于约~3.1 Ga细粒奥长花岗岩之中。主要包括始太古代奥长花岗岩/石英闪长岩和古太古代片麻岩杂岩两个岩石单元,前者呈透镜体产出于后者之中。始太古代奥长花岗岩/石英闪长岩部分遭受变质作用改造,但整体较好地保留了岩浆结构及构造,其年龄为3.77~3.81 Ga,锆石εHf(t)值大于0,表明其为玄武质岩石经部分熔融形成的新生地壳。古太古代片麻岩杂岩由条带状片麻岩、浅色奥长花岗质片麻岩、黑云母片岩及少量斜长角闪岩等组成,岩石类型多样且组构复杂、不均一,受到塑性流变变形作用的改造,为地壳深部层次下变质-深熔作用的产物,各岩石锆石U-Pb年龄相近,为3.29~3.36 Ga,锆石εHf(t)值小于0,表明其来源于始太古代古老地壳的重熔。杂岩记录了~3.8 Ga、3.7~3.4 Ga以及~3.3 Ga等多期岩浆-构造热事件,其中~3.8 Ga和~3.3 Ga分别代表本区主要的两期地壳生长和地壳重熔事件。多期次地壳生长和重熔可能是早期地壳演化的主要机制及过程,这与全球多个太古宙地体类似
书评:《中国旱涝的机理分析和长期预报技术研究》  [PDF]
张家
Climate Change Research Letters (CCRL) , 2013, DOI: 10.12677/CCRL.2013.23021
Abstract: 无
基于Swarm和机器学习的城市道路交通系统多主体仿真研究
Multi-Agent Simulation of Urban Traffic System Based on Swarm and Machine Learning
 [PDF]

张家
Software Engineering and Applications (SEA) , 2019, DOI: 10.12677/SEA.2019.85033
Abstract: 城市道路交通系统仿真是分析和优化现有城市交通系统的重要方法之一。本文设计了基于Swarm和DQN机器学习算法的多主体仿真模型。首先,基于复杂适应系统理论,建立了多主体仿真模型。对于系统中主体的个体决策行为采用机器学习中的DQN算法来模拟,并基于Swarm软件包实现了所设计的仿真模型。最后,使用滴滴出行盖亚数据开放计划中成都市二环线上的数据对所建立的模型进行了仿真和分析,结果表明了方法的有效性。
Urban road traffic system simulation is one of the important methods to analyze and optimize the existing urban traffic system. In this paper, a multi-agent simulation model based on Swarm and DQN machine learning algorithm is designed. Firstly, based on complex adaptive system theory, a multi-agent simulation model is established. Then the DQN machine learning algorithm is used to simulate the individual decision-making behavior of the agent in the system. The simulation model is implemented based on Swarm software package. Finally, the model is simulated and analyzed by using the data from the second ring line of Chengdu City in the Gaia Data Open Plan. The result illustrates the effectiveness of this method.
基于改进回声状态网络的盖亚大数据短时交通状态预测研究
A Short-Term Traffic Forecasting Research Based on Didi Chuxing GAIA Open Dataset Using Echo State Network Optimized by PSO Algorithm
 [PDF]

张家
Hans Journal of Data Mining (HJDM) , 2019, DOI: 10.12677/HJDM.2019.94019
Abstract:
短期交通预测是现代智能交通系统重要的组成部分,本文设计了改进的回声状态网络基于盖亚开放数据来对短时交通状态进行预测。对于数据集中的无效数据,采用随机森林算法进行数据预处理,剔除其中的无效数据。由于盖亚数据集中的实时交通数据量巨大,采用粒子群算法对回声状态网络参数进行优化。最后采用2016年10月~11月成都市二环局部区域轨迹数据作为样本集对所设计的方法进行了验证,结果表明了该方法可以有效的对短时交通状态进行预测。
Short-term traffic forecasting is an important part of contemporary intelligent transportation systems. In this paper, based on echo state network, a procedure is proposed to provide a forecast of traffic state. For the invalid data in the Didi Chuxing GAIA Open Dataset, the random forest algo-rithm is used to preprocess the data and eliminate the invalid data. Because of the huge amount of real-time traffic data in GAIA data set, particle swarm optimization algorithm is employed to op-timize the parameters of echo state network. Finally, the method is validated by using the local area trajectory data of the second ring road in Chengdu from October to November 2016 as the sample set. The result illustrates the effectiveness of this method.

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