强夯法施工锤重参数的合理选用

如何选择强夯处理工程地基中的有关施工参数，直接关系到地基的加固效果。在对常规方法确定参数的全面分析后，通过对下落锤体对地基土体的冲力作用研究，提出了在同一单击能量（机械提升能量）情况下，采用重锤低落距处理地基工程优于轻锤高落距强夯方案。     

叠合系杆拱的设计构思

叠合系杆拱是一种新型桥梁.某大桥设计方案采用叠合钢管混凝土系杆拱桥,从该桥的总体设计出发,探讨了该桥的最优矢跨比组合,并对该体系的孔跨布置、纵横梁及系杆、吊杆、横撑的设计做了介绍.最后探讨了该桥型的结构特点和受力特征.     

地铁暗挖下穿既有建筑的参数反算与分析

以长春地铁车站出入口通道暗挖穿越既有快速路为工程背景,研究了软弱粉质粘土层不均匀降水因素对既有结构的影响情况。采用粘聚力参数折减来近似拟合降水施工对暗挖所在地层的影响,根据实测沉降,建立了折减系数的反算格式。该方法简便易行,避开了现场孔隙压力测定,其沉降结果与实测结果一致,反算出的折减系数可用于同类工程中。根据反算结果,分析了暗挖施工对既有建筑物的安全性影响。     

岩质岸坡岩样力学参数取值方法比较

针对安川公路典型岸坡岩石试样, 分别在天然状态和饱水状态下对其进行轴压试验, 采用随机模糊法、最小二乘法和蒙特卡罗法对岩石变形参数和抗剪强度参数进行抽样取值, 并计算了相应的边坡稳定性系数。计算结果表明: 采用蒙特卡罗法抽样得到的变形参数均值、均方差与变异系数与最小二乘法基本接近, 其中均值相差仅为0.77%;采用随机模糊法抽样得到的变形参数均值、均方差与变异系数最小, 其均值较最小二乘法降低了8.60%;在抗剪强度参数抽样取值时, 利用随机模糊法得到的抗剪强度参数均值、变异系数与对应的边坡安全系数最小, 蒙特卡罗法次之, 最小二乘法最大, 其中采用随机模糊法抽样取值时边坡安全系数均值为1.243, 蒙特卡罗法取值时为1.521。相比于蒙特卡罗法, 采用随机模糊法确定的隶属度函数考虑了样本参数权重因素的影响, 反映了岸坡岩石抗剪强度参数的不确定性, 计算的岩质边坡安全系数更具有工程指导意义。     

人行通道工程梯道明挖支护方案的设计

介绍了某剧院地下人行通道梯道明挖段施工的基本情况,论述了如何在不破坏原有建筑和地下管线的前提下,将梯道支护结构方案进行合理变更,并阐述了梯道明挖的施工方法。     

大跨度拱桥减震分析

以西藏尼木大桥为研究对象,结合该桥型特点,采用大型通用软件对其进行了模态分析和动力计算.通过模拟地震响应得到该桥的反应特性,由此采用调谐质量控制器(TMD)对该桥进行受控分析.采用振型贡献率确定受控模态,在获取TMD系统的优化参数后将其模拟入有限元模型中,并最终通过时程分析验证了TMD运用于拱桥被动减震控制的有效性.     

水泥混凝土就地灌注桩的成孔方法选择及事故的预防与处理

简述水泥混凝土就地灌注桩的各种成孔方法的适用范围,提出成孔施工主要事故的预防和处理意见,以便因地制宜、经济合理的选择好灌注桩的成孔方法,在成孔施工过程中预防事故的发生,发生事故做到及时科学的处理,保证成孔施工的进度和质量。     

高速客车转向架悬挂参数分析

为了全面考察转向架悬挂参数对高速客车行车安全性和乘坐舒适性的影响规律,为高速客车转向架悬挂参数的合理选取提供理论依据,首先从时域内分析了一、二系悬挂参数对高速客车动力学性能的影响,然后从频域内分析了二系悬挂参数对车体振动模态的影响.仿真计算与分析结果表明:合理设置一系纵向和横向定位刚度和二系抗蛇行减振器结构阻尼参数即可基本实现转向架较高的临界速度;减小二系横向刚度而适当增大二系横向阻尼可提高高速客车的横向平稳性;为了改善高速客车的垂向平稳性,一、二系垂向减振器阻尼都不宜选取过大.     

Regularization Method to the Parameter Identification of Interfacial Heat Transfer Coefficient and Properties during Casting Solidification

The accurate material physical properties, initial and boundary conditions are indispensable to the numerical simulation in the casting process, and they are related to the simulation accuracy directly. The inverse heat conduction method can be used to identify the mentioned above parameters based on the temperature measurement data. This paper presented a new inverse method according to Tikhonov regularization theory. A regularization functional was established and the regularization parameter was deduced, the Newton-Raphson iteration method was used to solve the equations. One detailed case was solved to identify the thermal conductivity and specific heat of sand mold and interfacial heat transfer coefficient (IHTC) at the meantime. This indicates that the regularization method is very efficient in decreasing the sensitivity to the temperature measurement data, overcoming the ill-posedness of the inverse heat conduction problem (IHCP) and improving the stability and accuracy of the results. As a general inverse method, it can be used to identify not only the material physical properties but also the initial and boundary conditions' parameters.     

On-line detecting of transformer winding deformation based on parameter identification of leakage inductance

Transformers are required to demonstrate the ability to withstand short circuit currents. Over currents caused by short circuit can give rise to windings deformation. In this paper, a novel method is proposed to monitor the state of transformer windings, which is achieved through on-line detecting the leakage inductance of the windings. Specifically, the mathematical model is established for on-line identifying the leakage inductance of the windings by applying least square algorithm （LSA） to the equivalent circuit equations. The effect of measurement and model inaccuracy on the identification error is analyzed, and the corrected model is also given to decrease these adverse effect on the results. Finally, dynamic test is carried out to verify our method. The test results clearly show that our method is very accurate even under the fluctuation of load or power factor. Therefore, our method can be effectively used to on-line detect the windings deformation.