福宁高速公路声环境探讨

通过对福建省福鼎宁德段高速公路声环境现状的调查研究,采用类比分析的方法,确定其沿线所要保护的声环境敏感点,合理科学预测交通噪声对声环境的影响,提出减轻噪声污染的若干措施。     

用于汽车纵向运动控制的传动系统模型简化与分析

针对汽车纵向运动控制系统特点，采用线性化方法对比分析传动系统各部件对系统传递性的影响，总结出适合汽车纵向运动控制的简化数学模型。并基于简化模型，应用灵敏度理论分析了系统传递特性对模型中各参数的敏感性。     

舰船操纵性响应方程几个问题的探讨

研究了舰船操纵性响应方程应用中如何提高高速舰船操纵性计算精度,及速度方程参数计算和Ｋ、Ｔ指数的变化规律,并给出了可资实用的结论。     

Evaluation of added resistance in regular incident waves by computational fluid dynamics motion simulation using an overlapping grid system

A computational fluid dynamics simulation method called WISDAM-X was developed to evaluate the added resistance of ships in waves. The Reynolds-averaged Navier–Stokes (RANS) equation was solved by the finite-volume method and a MAC-type solution algorithm. An overlapping grid system was employed to implement rigorous wave generation, the interactions of ships with incident waves, and the resultant ship motions. The motion of the ship is simultaneously solved by combining the solution of the motion of the ship with the solution of the flow about the ship. The free surface is captured by treatment by the density-function method. The accuracy of WISDAM-X is examined by a comparison with experimental data from a container carrier hull form, and shows a fairly good agreement with respect to ship motion and added resistance. Simulations were also conducted for a bow-form series of a medium-speed tanker to examine the effectiveness of the WISDAM-X method as a design tool for a hull form with a smaller resistance in waves. It was confirmed that the WISDAM-X method can evaluate the added resistance with sufficient relative accuracy and can be used as a design tool for ships.     

深基坑支护结构变形预测研究与应用

利用现场监测的深基坑支护结构变形信息资料 ,结合参数优化反分析土体m值 ,根据现场地质资料和优化后的参数 ,通过有限元计算对深基坑支护系统进行变形预测 ,及时调整开挖方案和支护参数 ,此方法可以有效的指导基坑施工 ,确保施工安全     

基于卫星遥感平台的浅层地下水推断模型

采用遥感—数学—模型相融合的方法建立浅层地下水推断模型。该模型克服以往勘察方法费用高、效率差、周期长的不足,从未知出发,由面到点,层次分明、衔接有序。经实地考察验证,模型精度较高,效率较快,具有一定实用性,不仅可以宏观、快速、高效地确定浅层地下水的分布和范围,而且可以降低费用,缩短周期,为进一步找水工程布置提供依据。     

Bayesian network for red-light-running prediction at signalized intersections

Abstract

Red-light-running (RLR) is an important reason for the large number of intersection-related fatalities, injuries, and other losses. The accurate RLR prediction can effectively reduce crashes caused by RLR behavior. The RLR prediction is usually composed of two parts: the vehicle’s stop-or-go behavior and the arrival time when the vehicle reaches the stop line. Previous stop-or-go prediction models are usually based on embedded traffic sensors using machine learning algorithms. While based on the continuous trajectories collected by radar sensors, RLR prediction can be conducted more effectively. In this paper, a probabilistic stop-or-go prediction model based on the Bayesian network (BN) is proposed for RLR prediction. We extend the deterministic output into the probabilistic output, which provides decision-makers with greater autonomy. The causality of BN improves the interpretability of the prediction model. The BN model is calibrated and tested by the continuous trajectories data measured by radar sensors installed at a signalized intersection. We not only consider the movement measurements of individual vehicles (e.g., speed and acceleration), but also take into account the car-following behavior. As a comparison, different machine learning models and the model based on the inductive loop detection (ILD) are adopted. The results show that the proposed BN model has a high prediction accuracy and performs better in the feature interpretation. This paper provides a new way for probabilistic RLR prediction based on continuous trajectories, which will significantly improve traffic safety of signalized intersections.     

基于线性矩阵不等式的船舶动力定位滑模控制

为了解决具有非线性和环境干扰的船舶动力定位系统的控制问题, 提出了一种基于线性矩阵不等式的滑模控制算法; 将跟踪误差设计为滑模函数, 设计线性矩阵不等式, 求解状态反馈增益; 基于二次型Lyapunov函数证明了闭环系统的稳定性; 设计切换函数, 使系统对不确定性和外加干扰具有较强的鲁棒性, 避免出现抖振现象; 对基于线性矩阵不等式的滑模控制器进行仿真, 计算出动力定位船舶在无扰动的匀速运动和有外界环境扰动的变速运动2种不同情况下的前进速度、横荡速度、艏向角速度、前进加速度、横荡加速度、艏向角加速度、前进控制力、横荡控制力和艏向控制力矩等; 分析了状态反馈增益线性矩阵、边界层、切换项增益等参数对控制性能的影响。研究结果表明: 采用基本滑模控制使前进速度达到期望值所需的上升时间为29s, 而新算法为15s, 节约了48.28%;采用基本滑模控制使横荡速度达到期望值所需的上升时间为24s, 而新算法为14s, 节约了41.67%;采用基本滑模控制使艏向角速度达到期望值所需的上升时间为13s, 而新算法为10s, 节约了23.08%。可见, 设计的控制器对有非线性和环境干扰的船舶动力定位系统都具有较强的鲁棒性, 具有控制输入连续、控制抖振小、不存在过高增益等特点。     

超前预报在锦屏辅助洞不良地质中的应用研究

简述了综合利用超前地质预报技术对隧道地下水进行超前预报。提出在复杂地质条件下,综合运用TSP203超前预报系统、地质雷达、超前地质钻孔等技术对地下水进行跟踪预报,并以锦屏辅助洞隧道为实例,说明综合预报对地下水预报的有效性。     

基于约束卡尔曼滤波的短时交通流量组合预测模型

为了克服单一的交通流预测模型性能不稳定的问题, 提出了基于约束卡尔曼滤波的短时交通流量组合预测模型。约束卡尔曼滤波组合预测模型以各单一预测模型的权重为状态变量, 交通流量为观测变量, 预测结果是单一预测模型的加权和, 加权系数由约束卡尔曼滤波方程递推动态确定, 最后通过广深高速公路上采集的交通流量数据对算法进行了验证。结果表明, 在不同预测步长情况下, 约束卡尔曼滤波组合预测模型要优于最佳的单一预测模型或与其持平, 并且不受某一较差的预测模型影响, 具有较高的鲁棒性。