高等级公路交织区交通冲突数与安全性关系研究

结合人工神经网络建立的高等级公路交织区交通冲突数与安全性关系模型．从模型调试、测试结果及评价结果来看,具有较好的应用价值。     

基于通用有限元程序对T梁进行结构分析研究

在某已架设好的6片预应力40m简支T梁上运输68t重的箱梁,为计算主梁承载能力是否能满足要求、确保安全,基于SAP 2000对该结构空间梁格和空间板壳模型进行分析．同时详细介SAP 2000在桥梁结构分析中的具体应用,可为同类结构的分析提供参考。     

A total generalized optimal velocity model and its numerical tests

A car-following model named total generalized optimal velocity model （TGOVM） was developed with a consideration of an arbitrary number of preceding vehicles before current one based on analyzing the previous models such as optimal velocity model （OVM）, generalized OVM （GOVM） and improved GOVM （IGOVM）. This model describes the physical phenomena of traffic flow more exactly and realistically than previous models. Also the performance of this model was checked out by simulating the acceleration and deceleration process for a small delay time. On a single circular lane, the evolution of the traffic congestion was studied for a different number of headways and relative velocities of the preceding vehicles being taken into account. The simulation results show that TGOVM is reasonable and correct.     

Joint distortion model for progressive image transmission using error correcting arithmetic codes

A novel joint source channel distortion model was proposed, which can essentially estimate the average distortion in progressive image transmission. To improve the precision of the model, the redundancy generated by a forbidden symbol in the arithmetic codes is used to distinguish the quantization distortion and the channel distortion, all the coefficients from the first error one to the end of the sequence are set to be a value within the variance range of the coefficients instead of zero, then the error propagation coming from the entropy coding can be essentially estimated, which is disregarded in the most conventional joint source channel coding （JSCC） systems. The precision of the model in terms of average peak-signal-to-noise has been improved about 0.5 dB compared to classical works. An efficient unequal error protection system based on the model is developed, and can be used in the wireless communication systems.     

从水质水量联合角度评价鉴江流域可用水资源量

首先介绍满足流域水功能区水质目标的可用水资源量联合评价方法。该方法通过水量平衡和污染物质的质量平衡原理,建立单元系统的水量水质模型,依据水质水量资料确定模型参数;然后利用模型推求单元系统的可用水资源量;最后推广应用到河流多区段系统。将该评价方法应用到广东鉴江流域,计算该流域的可用水资源量。结果表明,可用水资源量与水质污染现状、水功能区的水质目标、河道生态需水量等有关。     

碎石桩处理高液限土地基的离心试验研究

高液限土是一种对工程有害的特殊土。为了处治高液限土地基,对室内土工离心模型试验进行分析,利用离心机产生离心力场,提高模型土体的体积力,形成人工重力。模拟高液限土地基在碎石桩处理后的固结性状,观测地基模型的变形和沉降。试验结果表明,碎石桩复合地基措施确实能改善地基的受力和变形性状,极大增强地基的稳定性。     

布达佩斯城市交通发展战略与启示

分别从概况、战略目标、实施策略等3个方面对布达佩斯城市交通发展的总体战略及公共交通、道路网络、静态交通、步行及自行车交通、交通管理等发展战略进行了阐述。由此得出,居民出行线路上任何一种交通方式的低效都将破坏整个交通链的效率,只有整个交通链所有交通环节的和谐发展,才能够使公共交通在运输服务上较小汽车具有竞争力;只有综合利用公共交通与私人交通,才能使城市交通与土地利用相协调。最后,结合布达佩斯和国内实践经验,总结提出了一种包含人口、经济、地理、环境、技术、制度等要素的“六棱形”城市交通发展战略规划模型。     

Flow Stress Model of Stainless Steel OCr13Ni5Mo at Elevated Temperature

For a more accurate forming calculation and numerical simulation of hydraulic turbine blade,experimental studies on the flow stress of stainless steel OCr13Ni5Mo were carried out upon Gleeble-1500 thermal simulator under different deformation conditions.The results then were analyzed and the effects of all influencing factors were summarized consequently.New mathematic models were conceived.Utilizing the software Matlab,regression coefficients were calculated by the least square method.The model has an eminent capability of curve-fitting performance with impact structure whose correlation coefficient is up to 0.908 0 and the cosine coefficient is 0.995 8.All mathematic models and process parameters can be used in engineering calculations or computer simulations.     

车辆运行声车型自动分类的AR模型技术

利用AR参数模型提取采集到的车辆行驶时产生的车外噪声信号的特征,利用假设检验进行特征选择,并设计了BP神经网络进行分类识别.对道路现场采集到的2种车型共计110个信号进行分析,实验结果表明,通过AR参数模型提取车辆车外噪声特征实现车型自动分类是可行的,其分类的正确率达80% 以上.     

海浪水压场的混沌特性分析及预测模型

海浪水压场作为水中兵器水压引信最严重的干扰源,对其混沌特性进行研究具有极为重要的意义.依据判断系统是否具有混沌特性的2个重要指标:关联维数和最大Lyapunov指数,分别通过G-P算法和小数据量的Wolf算法进行了计算.对一定数量的海浪水压场数据所进行的计算表明,海浪水压场具有分数的关联维数和正的Lyapunov指数,表现出明显的混沌特性.在此基础上依据混沌信号的相空间重构理论使用支持向量机对海浪水压场进行了预测建模,结果表明非线性混沌模型较常规的线性AR模型具有更高的预测精度.