船舶厨房通风空调系统的配置分析

介绍了船用厨房的设计规范,设计标准和相应的解决方法。并对厨房系统进行了分类,通过不同类型的厨房分析,采用合适的空调和通风系统。并从送/排风的方式和风量要求进行了介绍。最后从工程实际的角度上对常用的设计参数如温度,噪音,静压等参数做出了说明。     

Towards a model of hydrodynamic damping for a circular cylinder with helical strakes at low KC

This paper investigates the hydrodynamic damping of a circular cylinder with helical strakes at Keulegan-Carpenter (KC) number from 0.07 to 3 in the presence of steady currents. Experiments were performed with a straked cylinder oscillating in either in-line or cross currents over Reynolds number (based on the oscillating velocity amplitude) varying from 1260 to 54,000. With in-line current being present, the measured drag coefficients of the straked cylinder are found to depend on the ratio between the oscillating velocity amplitude and the steady current velocity. This phenomenon is further confirmed by computational fluid dynamics using large-eddy simulations. The drag coefficients obtained from the numerical simulations agree well with the experimentally determined values. Similar phenomenon is observed for the cases with cross background current. Based on the experimental data, empirical formulae are proposed to evaluate drag coefficients. These results are of importance in estimating the resonant motion and the fatigue life of risers, e.g. water intake risers, in the flow regime of low KC. Finally, recommendations are provided for fatigue analysis of risers with helical strakes from the perspective of engineering practice.     

基于家庭属性差异的大学生出行方式选择行为研究

为剖析家庭属性差异对大学生出行方式选择行为的影响，基于非集计理论，构建家庭属性差异的大学生出行选择多元Logit 模型. 根据四川省2 571 份大学生出行行为调查问卷，运用SPSS 软件标定模型参数，获取影响大学生出行选择的主要家庭属性因素，并进行敏感性分析. 结果表明：家庭平均年收入、经济净流对大学生出行方式选择有显著的影响；以航空运输为参考，家庭平均年收入、经济净流对公路运输方式选择的影响大于铁路运输；“祖辈替孙辈购买机票”的折扣票务形式可提高大学生选择航空出行的概率.     

中低雷诺数流动直接数值模拟的算法比较

文章采用不同的算法对中低雷诺数方腔驱动流动进行了直接数值模拟,所用算法分别是人工压缩方法、SIMPLE算法以及PISO算法.三种算法均采用有限体积法基于交错网格技术离散N-S方程,时间项采用全隐格式离散,对流项采用QUICK格式离散,并将它们得到结果与Ghia发表的基准解进行了比对.文中分析了在同样的收敛条件下,不同算法之间的稳定性,收敛速率以及准确性的差异,发现PISO算法在较低雷诺数Re=400和Re=1000情况下最准确,而人工压缩算法在雷诺数为5000时最准确,在所有计算的不同Re数条件下,发现人工压缩法达到收敛所需时间都是最少的,这可以使它成为中低雷诺数下研究直接数值模拟最好的算法之一.     

Experimental investigation of evaporation rate and exhaust emissions of diesel engine fuelled with cotton seed methyl ester and its blend with petro-diesel

An experimental study to measure the evaporation rates, engine performance and emission characteristics of cotton seed biodiesel (cotton seed oil methyl ester) and its blends in different volumetric proportions with diesel is presented. The thermo-physical properties of all the fuel blends have been measured and presented. Evaporation rates of neat cotton seed biodiesel, neat diesel and their bends have been measured under slow convective environment of air flowing with a constant temperature. Evaporation constants have been determined by using the droplet regression rate data. The neat fuels and fuel blends have been utilized in a test engine with different load conditions to evaluate the performance, combustion and emission characteristics of the fuels. The specific fuel consumption values of the two blends, viz. B25 and B75 are found to be same. At the highest load, B0 records the lowest CO volume followed by B100. From the observed evaporation, performance and emissions characteristics, it is suggested that a blend of B50 and B75 can be optimally used in standard diesel engine settings.     

桥梁模板施工技术应用性研究

桥梁模板是桥梁施工中的重要工具。通过搜集国内外桥梁模板资料,研究总结并提出解决模板工程在桥梁施工中存在各种问题的办法,将对提高工程质量、加快施工速度、提高劳动生产率、降低工程成本和实现桥梁工程的文明施工起到一定的推动作用。     

西津水利枢纽二线船闸下游引航道右岸支流汇入口消能设施设计

西津水利枢纽二线船闸工程是建设"西江亿吨级黄金水道"的重要举措之一。为研究二线船闸下引航道停泊段右岸西竹坑支流的汇入对二线船闸下引航道内通航水流条件的影响,通过水工模型试验研究在支流沟内布置消能设施对支流入汇口处流速、流态的影响,提出斜向导流坝、消力墩和消力池的工程措施,为类似工程提供借鉴。     

基于神经网络的小时间粒度交通流预测模型

为解决传统车队离散模型基于概率分布假设和现有交通流预测时间粒度过大不能应用于自适应信号配时优化等问题.在车队离散模型的建模思路上,先分析了下游交叉口车辆到达与上游交叉口车辆离去之间的关系,基于此构建了基于神经网络的小时间粒度交通流预测模型.该模型以上游交叉口离去流量分布为输入,下游交叉口到达流量分布为输出,时间粒度为5 s.最后,通过实际调查数据标定模型参数并应用模型预测下游交叉口到达流量.结果表明,与Robertson模型相比,本文模型预测结果能够更好地反映交通流的变化特征,平均预测误差减少了8.3%.成果可用于信号配时优化.     

城市轨道交通常态与非常态短期客流预测方法研究

城市轨道交通客流特征除表现为常态的周期性、季节性及高峰性外,还会因节假日、体育赛事、城市大型活动、突发事件、特殊天气等因素表现出差异性和特殊性,本文对较为成熟的常态及研究较少的非常态客流预测方法进行了实验.首先利用通用的ARIMA时间序列预测算法分析样本历史数据实现常态日客流预测;其次针对客流特殊因素提出时间序列及回归分析的组合模型,同时引进虚拟变量和结合相似日样本数据进一步改进,实现非常态预测问题的高精度求解.仿真计算结果表明,本文方法对解决短期客流预测具有良好的适用度,尤其同样本同预测周期条件下的非常态组合改进模型和常用单一时间序列模型的对比,证明改进模型可以很好地应用在客流特征既包括随时间固有不变的性质又表现出特殊因素的研究中,具有较强的自适应性和更好的预测精度.     

Experimental study and modeling of car-following behavior under high speed situation

To investigate the car-following behavior under high speed driving conditions, we performed a set of 11-car-platoon experiments on Hefei airport highway. The formation and growth of oscillations have been analyzed and compared with that in low speed situations. It was found that there is considerable heterogeneity for the same driver over different runs of the experiment. This intra-driver heterogeneity was quantitatively depicted by a new index and incorporated in an enhanced two-dimensional intelligent driver model. Using both the new high-speed and the previous low-speed experimental data, the new and three existing models were calibrated. Simulation results show that the enhanced model outperforms the three existing car-following models that do not take into account this intra-driver heterogeneity in reproducing the essential features of the traffic in the experiments.