沥青路面基层冷再生材料路用性能的室内试验研究

通过室内试验对水泥稳定冷再生混合料的无侧限抗压强度、抗压回弹模量、劈裂强度、抗冲刷性能进行了系统的研究.试验结果表明,水泥剂量为5%时,冷再生材料的强度和其它路用性能指标均满足规范的要求.     

二灰冷再生沥青路面基层路用性能研究

通过对原路材料进行材料组成分析,并且通过对几种不同配合比的冷再生材料的无侧限抗压强度、劈裂强度、冲刷性能的初步研究,对二灰冷再生材料的性能做出了初步评价.二灰冷再生材料基本可以满足规范对沥青路面的半刚性基层的要求.     

路基边坡风化与防护

对路基边坡风化与防护进行了阐述.     

山区高速公路涵洞设计施工问题的探讨

对朝赤高速公路涵洞设计及施工过程中的一些关键技术问题进行探讨.     

桩基施工中的坍孔原因与预防措施

对在一般河流上钻(冲)孔过程中出现坍孔原因进行分析,并提出了坍孔预防措施.     

强夯置换法处理滨海公路软土路基

结合辽宁省滨海公路庄河市大张至中隈段的土质情况,阐述了强夯处理软土地基的设计方法、施工过程及处理后的地基效果.     

Sensitivity analysis of parameters for multi-stand roll forming using a new booting model

Multi-stand roll forming is a process that has very complicated deformation behaviour and shows significant nonlinearity.In this paper, the sensitivity analysis of parameters for multi-stand roll forming was performed via a new booting finite element method(FEM) model.Compared with the most of simulation, the new model is more consistent with production process and can account for the effects of roll rotating speed.Based on the model, the process of an open section channel formed with 10 passes was simulated and the sensitivity analysis was conducted with orthogonal experiment design combined FEM model.The multi-stand roll forming process can be efficiently analyzed by the new booting model.And sensitivity analysis shows the hardening exponent plays an important role in controlling the quality of the products.     

哈绕城高速公路东北段松花江大桥主桥设计方案研究

该松花江大桥为绕城高速公路东北段跨越松花江的一座特大桥,本文介绍了该桥三个桥型方案,并从结构受力、施工难易程度、耐久性、工程经济等方面进行比选提出推荐方案。     

Power network parameter estimation method based on data mining technology

The parameter values which actually change with the circumstances, weather and load level etc.produce great effect to the result of state estimation. A new parameter estimation method based on data mining technology was proposed. The clustering method was used to classify the historical data in supervisory control and data acquisition (SCADA) database as several types. The data processing technology was impliedto treat the isolated point, missing data and yawp data in samples for classified groups. The measurement data which belong to each classification were introduced to the linear regression equation in order to gain the regression coefficient and actual parameters by the least square method. A practical system demonstrates the high correctness, reliability and strong practicability of the proposed method.