内坑坑背系数对坑中坑基坑变形影响的敏感性分析

以苏州某地铁换乘站坑中坑为基本模型,采用土体卸载条件下的HS有限元模型,系统研究内坑坑背系数β对坑中坑基坑支护结构和基坑土体变形的影响。结果表明:外墙侧移随β增大而增大,β由0.125增大到0.75,外墙最大侧移增加34.08%,同时最大侧移位置下移了2.0 m,β对外坑底面附近以上的外墙墙身侧移影响较小,而对坑底以下侧移影响显著。内墙侧移随β增加而显著增大,β由0.125增大到0.75,内墙墙身最大侧移增加153.95%,最大侧移位置随β增大而下移,内墙墙顶竖向位移随β增大而减小。内坑坑底隆起、外坑坑底隆起随β增大而微弱减小,外坑坑背沉降总体随β增大而增大,但不同β值对应的沉降曲线相似。     

CVT ratio control with consideration of CVT system loss

A modified CVT ratio map is proposed to obtain the improved fuel economy for a metal belt CVT. Since the CVT system loss, which occupies most of the drivetrain loss, depends on the engine speed, input torque, primary and secondary actuator pressure, a modified CVT ratio map is produced to realize the highest engine-CVT overall efficiency through the consideration of CVT system loss. The modified CVT ratio map is constructed with respect to the demanded vehicle power and present vehicle speed based on the steady state CVT system loss. Using the modified CVT ratio map, performance simulations are carried out using the dynamic models of the CVT powertrain. The simulation results indicate that the modified CVT ratio control provides improved engine-CVT overall system efficiency, and improves the fuel economy of the federal urban driving schedule by 4.9 percent.     

考虑水稳定性影响的膨胀土路基填料承载比特性

根据试验规范进行室内承载比（CBR）试验,研究压实度和膨胀率对其承载比（CBR）值的影响规律,分析膨胀土以及石灰改良膨胀土的CBR值随压实度和膨胀势变化的基本规律,研究认为,CBR值随压实度的减小而减小,随膨胀势的减小而增大。石灰改良膨胀土用于路堤填筑时,压实度略低的标准控制,有利于路堤的长期稳定。     

Superpave混合料在沈山高速公路维修中的应用

本文以沈山高速公路路面维修工程为依托,通过室内外大量沥青混合料试验研究,主要对高性能沥青混凝土Superpave混合料的配合比设计、路面铺筑施工及质量控制等,阐述了Superpave技术在该项目中的应用。     

新拌高强混凝土砂的作用机理与影响研究

高强混凝土的强度对砂的要求比较严格苛刻,通过实验室试验,研究砂率对新拌高强混凝土工作性的影响以及对水泥用量的影响。运用控制变量法,通过改变砂率,研究砂率与坍落度、碎石粒径、水灰比以及水泥用量等因素的关系。研究结果表明:存在最佳砂率,使坍落度、碎石粒径、水泥用量等因素达到最佳状态。     

A smart simple spectrophotometric method for simultaneous determination of binary mixtures

A new simple spectrophotometric method was developed for the simultaneous determination of drugs with interfering spectra in binary mixtures without previous separation. The new method is based on a si...     

列车制动系统杠杆螺栓用17Cr16Ni2不锈钢的应力腐蚀敏感性

通过慢应变速率拉伸试验,得到列车制动系统杠杆螺栓用17Cr16Ni2不锈钢分别在室温、40℃和70℃3个温度下质量分数为3.5％的NaCl水溶液(简称3.5％NaCl水溶液)中以及在室温空气中的断裂时间、抗拉强度、断后伸长率和断面收缩率等不同性能参数;采用扫描电镜观察不同试样断口,并采用比值法、应力腐蚀敏感性指数(IS...     

Multi-agent model predictive control of signaling split in urban traffic networks

The operation of large dynamic systems such as urban traffic networks remains a challenge in control engineering to a great extent due to their sheer size, intrinsic complexity, and nonlinear behavior. Recently, control engineers have looked for unconventional means for modeling and control of complex dynamic systems, in particular the technology of multi-agent systems whose appeal stems from their composite nature, flexibility, and scalability. This paper contributes to this evolving technology by proposing a framework for multi-agent control of linear dynamic systems, which decomposes a centralized model predictive control problem into a network of coupled, but small sub-problems that are solved by the distributed agents. Theoretical results ensure convergence of the distributed iterations to a globally optimal solution. The framework is applied to the signaling split control of traffic networks. Experiments conducted with simulation software indicate that the multi-agent framework attains performance comparable to conventional control. The main advantages of the multi-agent framework are its graceful extension and localized reconfiguration, which require adjustments only in the control strategies of the agents in the vicinity.     

A novel variable selection method based on frequent pattern tree for real-time traffic accident risk prediction

With the availability of large volumes of real-time traffic flow data along with traffic accident information, there is a renewed interest in the development of models for the real-time prediction of traffic accident risk. One challenge, however, is that the available data are usually complex, noisy, and even misleading. This raises the question of how to select the most important explanatory variables to achieve an acceptable level of accuracy for real-time traffic accident risk prediction. To address this, the present paper proposes a novel Frequent Pattern tree (FP tree) based variable selection method. The method works by first identifying all the frequent patterns in the traffic accident dataset. Next, for each frequent pattern, we introduce a new metric, herein referred to as the Relative Object Purity Ratio (ROPR). The ROPR is then used to calculate the importance score of each explanatory variable which in turn can be used for ranking and selecting the variables that contribute most to explaining the accident patterns. To demonstrate the advantages of the proposed variable selection method, the study develops two traffic accident risk prediction models, based on accident data collected on interstate highway I-64 in Virginia, namely a k-nearest neighbor model and a Bayesian network. Prior to model development, two variable selection methods are utilized: (1) the FP tree based method proposed in this paper; and (2) the random forest method, a widely used variable selection method, which is used as the base case for comparison. The results show that the FP tree based accident risk prediction models perform better than the random forest based models, regardless of the type of prediction models (i.e. k-nearest neighbor or Bayesian network), the settings of their parameters, and the types of datasets used for model training and testing. The best model found is a FP tree based Bayesian network model that can predict 61.11% of accidents while having a false alarm rate of 38.16%. These results compare very favorably with other accident prediction models reported in the literature.     

存在奇异点的结构疲劳评估简单方法

由于船舶结构整体几何形状具有内在的应力奇异性,其有限元分析结果的评估并不明确。通过对一个简单平面直角十字形拐角结构上的奇异性和裂纹尖端的奇异性进行分析,提出简化后的经验法则及一个直接的计算方法,用于计算裂纹的应力强度因子和基于S-N曲线疲劳分析中的应力集中系数。同时对结构中奇异点处应力场性质提出认识,对其有限元分析方法中网格的划分提供基础。