节点递归算法优化合流管网

根据合流制管网系统的图论和矩阵算法 ,提出节点递归优化算法 ,以节点为研究对象 ,优化合流制管网系统。本算法能解决管网在交汇点处上下游管段衔接计算问题、溢流井设置问题 ,克服控制点不易确定的困难 ,达到了费用最低的优化目标 ;并可直接以节点标高为约束条件 ,充分考虑利用原有管道或解决地下管线交叉问题。并通过实例进行了验证     

BP和RBF神经网络在辨识内燃机燃烧过程中的应用

分析了发动机燃烧过程的研究方式,提出了用BP和RBF网络辨识内燃机燃烧过程的方法。选定神经网络的结构、隐层神经元的作用函数和控制参数,成功地得到了发动机的辨识模型,结果由RBF网络辨识的模型给出,从这一模型可以获得任意点缸内压力和温度以延拓的参数,为排放分析、计算和结构优化提供了良好的基础。     

论大直径灌注桩的设计、施工

大直径灌注桩广泛用于房屋、桥梁的基础工程中,当无水、少水且持力层为岩石、卵石层等理想土层,埋置深度在20 m左右,采用大直径灌注桩为基础,能取得质量可靠、造价经济的优良桩基.介绍了有关设计、施工的基本知识,对桩基设计、施工具有一定参考价值.     

喷射混凝土在隧道支护中的应用

根据隧道合同段的具体实际情况及施工工艺,通过合理选择喷射混凝土的原材料,精确的配合比设计,正确选择喷射机械和工艺流程,严格控制喷射施工质量,使喷射混凝土作为围岩开挖后的主要支护构件,达到设计的作用效果.     

重庆菜园坝长江大桥立交工程设计特点及关键技术

重庆菜园长江大桥立交工程包括菜园坝立交和苏家坝立交,本文着重介绍在众多制约因素的前提下,2个立交工程的设计特点和设计关键技术.     

高墩大跨径弯连续刚构桥梁空间非线性稳定分析

在高墩大跨弯连续刚构桥梁的设计与施工中,结构稳定性非常重要。本文分别考虑结构的几何非线性和材料非线性力学特征,对高墩大跨弯连续刚构桥梁的结构稳定性进行详细的数值分析,并与线弹性的计算结果进行对比。结果表明:弯连续刚构桥梁的稳定问题已经转化为考虑结构材料屈服强度的极限承载力问题,同时几何非线性对稳定的影响亦不能忽略。     

工程机械管理及维护系统的设计与开发

从预防性维护的角度出发,提出了工程机械管理及维护系统的设计与开发思路.介绍了系统的设计原理,主要功能模块,工作流程和技术特点.系统集机械台帐管理、状态检测、维护保养、故障诊断、维修等模块于一体,适用于多数公路企业的机械管理工作,对提高公路企业的管理水平和工作效率具有重要的意义.     

Study on dynamic characteristics of vehicle gearbox under multi-boundary conditions

With the development of vehicle gearbox to high-power-density and high-speed, how to predict and optimize the dynamic characteristics of vehicle gearbox becomes increasingly prominent. Aiming at the vehicle gearbox, this paper comprehensively and deeply studies the dynamic characteristics under the multi-boundary conditions. The generation mechanism of the multi-source excitations triggering the gearbox vibration is analyzed firstly. The vibration transfer path of the gearbox is explored. Secondly, the engine excitation, the gear meshing excitation and the bearing support load are numerically calculated. According to the finite element method, a fluid-solid coupling finite element model of the gearbox body is established to predict the gearbox dynamic responses based on the Galerkin method and the Hamiltonian variational principle. Finally, the effects of the excitation condition, oil height and reinforcement forms on the vibration responses of the gearbox body are thoroughly studied by simulation. The analysis indicates that it not only helps to modify and improve the method of forecasting the gearbox dynamic response, and also provides the theoretical and technical guidance for the gearbox design and optimization.     

Target priority determination methods by interval-valued intuitionistic fuzzy sets with unknown attribute weights

The paper aims at the problem of multi-targets threat degree being hard to be evaluated accurately in complex air defense battlefield environments. Combined with multi-sensors information fusion and interval-valued intuitionistic fuzzy sets (IVIFS) theories, the target priority determination is studied. The score and accuracy functions of IVIFS are improved with thinking about the hesitating information in order to increase the rationality. Then, the influence factors of target priority and the nonlinear relationship between the influence factors and target priority are analyzed. Next, the algorithms for calculating the factor weights and sensor weights are given. Based on the theory of IVIFS and technique for order preference by similarity to an ideal solution (TOPSIS), two methods of target priority determination based on the IVIFS and TOPSIS are proposed. At last, an application example verifies the effectiveness and flexibility of the proposed algorithms.     

Exploring the impact of walk–bike infrastructure,safety perception,and built-environment on active transportation mode choice: a random parameter model using New York City commuter data

This study estimates a random parameter (mixed) logit model for active transportation (walk and bicycle) choices for work trips in the New York City (using 2010–2011 Regional Household Travel Survey Data). We explored the effects of traffic safety, walk–bike network facilities, and land use attributes on walk and bicycle mode choice decision in the New York City for home-to-work commute. Applying the flexible econometric structure of random parameter models, we capture the heterogeneity in the decision making process and simulate scenarios considering improvement in walk–bike infrastructure such as sidewalk width and length of bike lane. Our results indicate that increasing sidewalk width, total length of bike lane, and proportion of protected bike lane will increase the likelihood of more people taking active transportation mode This suggests that the local authorities and planning agencies to invest more on building and maintaining the infrastructure for pedestrians. Further, improvement in traffic safety by reducing traffic crashes involving pedestrians and bicyclists, will increase the likelihood of taking active transportation modes. Our results also show positive correlation between number of non-motorized trips by the other family members and the likelihood to choose active transportation mode. The model would be an essential tool to estimate the impact of improving traffic safety and walk–bike infrastructure which will assist in investment decision making.