Multi-factor impact mechanism on combustion efficiency of a hydrogen-fueled micro-cylindrical combustor

As it is important to achieve higher combustion efficiency for applications of micro-cylindrical combustor, the multi-factor impact mechanism on the combustion efficiency of a hydrogen-fuelled micro-cylindrical combustor is investigated in this work. Firstly, six factors such as hydrogen/air equivalence ratio, inlet velocity, inlet temperature, wall thermal conductivity, wall emissivity and convective heat transfer coefficient of outer wall and five levels of each factor are determined. Orthogonal design table L₂₅(5⁶) is introduced to arrange cases. Secondly, grey relational analysis is adopted to investigate the effects of the six factors on combustion efficiency. Finally, the results of grey relational analysis are validated by analysis of variance. Based on grey relational analysis and analysis of variance, it is determined that the impact ranking from the largest to the smallest is hydrogen/air equivalence ratio, inlet velocity and inlet temperature, followed by the other three factors. The impact of wall thermal conductivity, convective heat transfer coefficient of outer wall and wall emissivity is considered to be equal due to their difference of impact on combustion efficiency is very small. This work provides us significant reference for optimizing combustion efficiency of a hydrogen-fuelled micro-cylindrical combustor.     

求解带时间窗车辆路径问题的改进型烟花算法

针对带时间窗车辆路径问题,为寻求组合优化问题最优解,构建总运输成本最小数学模型。由于烟花算法搜索半径不能自适应调整,算法后期易陷入局部最优,故对爆炸算子进行改进,使最优烟花搜索半径自适应调整,增强后期局部搜索能力;同时利用分布式信息共享机制避免算法早熟并引入变异火花增强种群多样性。利用标准测试集进行验证后,结果表明该算法在求解带时间窗车辆路径问题时不仅具有可行性和有效性,并且收敛速度快、搜索质量高。     

Estimating posterior inference quality of the relational infinite latent feature model for overlapping community detection

Overlapping community detection has become a very hot research topic in recent decades, and a plethora of methods have been proposed. But, a common challenge in many existing overlapping community detection approaches is that the number of communities K must be predefinedmanually. We propose a flexible nonparametric Bayesian generative model for count-value networks, which can allow K to increase as more and more data are encountered instead of to be fixed in advance. The Indian buffet process was used to model the community assignment matrix Z, and an uncollapsed Gibbs sampler has been derived.However, as the community assignment matrix Z is a structured multi-variable parameter, how to summarize the posterior inference results and estimate the inference quality about Z, is still a considerable challenge in the literature. In this paper, a graph convolutional neural network based graph classifier was utilized to help to summarize the results and to estimate the inference quality about Z. We conduct extensive experiments on synthetic data and real data, and find that empirically, the traditional posterior summarization strategy is reliable.     

基于小世界聚类的网格资源查找算法

在网格环境中分布着大量不同类型的资源,为了更有效地解决网格资源的搜索和定位问题,提出了一种基于小世界聚类的网格资源查找算法. 它以小世界模型作为理论依据,确定聚类中心,按照分级扩散的原则对网格资源进行全局搜索. 为了提高算法的可扩展性,以一定概率增加网络连接,使节点连接的概率随距离的增大而衰减,缩短了查找平均路径长度. 仿真实验证明,基于小世界聚类的网格资源发现算法具有良好的搜索能力和扩展性.     

软土地基承载力指标灰色关联分析

该文运用灰色关联分析方法探讨了影响软土地基承载力大小的各种因素。结果表明 :轻型动力触探击数 (N1 0 )对承载力大小变化最为敏感 ,施工过程中用于检测软土地基承载力既简便又较准确。其次为软土的天然密度 (ρ)、压缩模量 (Es)、粘聚力 (c )和塑性指数 (Ip) ,在室内试验中可优先利用这些参数来确定承载力大小。而天然含水量 (w)、孔隙比 (e)和液性指数 (IL)相对较不敏感。     

抗酸灌浆材料在磷石膏渣坝防渗中的应用

根据工程实际，论述了该工程对灌浆材料应具有性能的要求和浆材试验研究成果及其在该工程中的应用，可供类似工程参考。     

注浆与疏干在斜井防治水中的应用

在高峰锡矿探采斜井的建设中，采用了分段工作面水泥预注浆的方法防止涌水，但一些不能进浆的细小裂隙的残余涌水仍严重妨碍着掘进施工。为避免溶洞，断裂带等大开度空隙的涌水，减少细裂隙的残余涌水量，将工作面水泥预注浆与井内水平孔疏干联合应用，达到了加快掘进速度，节省治水工程投资的目的。     

电测式十字板剪切试验的研究与应用

十字板剪切试验能够明显地提高饱和软粘性土力学指标的准确度,适合沿海等软土分布地区,适用于求算地基承载力、软粘土的灵敏度等重要的地基力学参数。根据电测式十字板剪切试验的原理、标定方法,结合东营沿海软土分布区地基土的建筑经验进行系统地总结和归纳,提出了该地区十字板剪切试验指标应用的相应关系式。     

建筑路径的关联化

当代城市中的建筑尺度越来越大,越来越多的城市功能被纳入建筑,建筑内的路径也越来越长,并且越显重要。然而,当今一部分建筑内的路径被处理为消极的纯交通体,忽视了对人性的关怀。本文提到的关联化是对这一现象的回应。希望通过对建筑内路径的分析研究,探讨如何在有条件的情况下将路径设计得更具人性。     

基于免疫算法的物流配送车辆路径优化问题研究

物流配送车辆路径优化问题是近年来物流研究中的一个热点,但由于它是一个NP难题,较难得到最优解和满意解。本文将一种新型的启发式算法——免疫算法用于解决该问题。免疫算法具有很好的全局搜索能力和收敛性,能够很好的解决这类问题,实例也证明了该方法是可行和有效的。