A modern and robust methodology for modeling anisotropic creep characteristics of Ni-based DS and SC superalloys

According to more recent work,the Wilshire equations have shown good prediction accuracy in a wide range of materials and stress-temperature conditions,particularly in extrapolation of short term results to long term predictions.In the current paper,this methodology was further developed for modeling anisotropic creep characteristics(i.e.minimum creep strain εmin ,stress rupture life tf and time to a specified strain tε)of four typical Ni-based directionally solidified(DS)and single crystal(SC)superalloys,where a simple orientation factor related to the ultimate tensile strength(UTS)was introduced.The application of these simplistic approaches showed that the anisotropic creep characteristics in a wide range of stress-temperature conditions can be accurately simulated.Meanwhile,during the application of the modified Wilshire equations,break points occurring at the specified stress levels agree well with the transition of creep deformation mechanisms occurring in different stress regions,which provides confidence for using this method.     

Automatic prediction of time to failure of open pit mine slopes based on radar monitoring and inverse velocity method简

Radar slope monitoring is now widely used across the world, for example, the slope stability radar (SSR) and the movement and surveying radar (MSR) are currently in use in many mines around the world. However, to fully realize the effectiveness of this radar in notifying mine personnel of an impending slope failure, a method that can confidently predict the time of failure is necessary. The model developed in this study is based on the inverse velocity method pioneered by Fukuzono in 1985. The model named the slope failure prediction model (SFPM) was validated with the displacement data from two slope failures monitored with the MSR. The model was found to be very effective in predicting the time to failure while providing adequate evacuation time once the progressive displacement stage is reached.     

Deformation effect of lateral roof roadway in close coal seams after repeated mining

This paper analyzed the deformation mechanism in lateral roof roadway of the Ding Wu-3 roadway which was disturbed by repeated mining of close coal seams Wu-8 and Wu-10 in Pingdingshan No. 1 Mine. To determine the strata disturbance scope, the strata displacement angle was used to calculate the protection pillar width. A numerical model was built considering the field geological conditions. In simulation, the mining stress borderline was defined as the contour where the induced stress is 1.5 times of the original stress. Simulation results show the mining stress borderline of the lateral roadway extended 91.7 m outward after repeated mining. Then the original stress increased, deforming the roadway of interest. This deformation agreed with the in situ observations. Moreover, the strata displacement angle changed due to repeated mining. Therefore, reselection of the displacement angle was required to design the protective pillar width. Since a constant strata displacement angle was used in traditional design, the proposed method was beneficial in field cases.     

改进的BP神经网络模型预测充填体强度

为了准确评价和预测充填体强度,采用改进的BP神经网络算法,利用实验室做的18组充填体单轴抗压强度试验结果,建立了充填体强度与影响因素之间的5-7-1网络模型结构(输入层为5个神经元,隐含层为7个神经元,输出层为1个神经元,输入为胶砂比及各胶凝材料掺量,输出为充填体28 d单轴抗压强度).结果表明,改进的BP神经网络对于充填体的强度具有良好的预测能力,建立的网络模型不仅收敛速度快而且训练精度高,对充填体强度的预测结果与训练数据和测试数据的最大相对误差仅为4.23％.     

空间可分级视频编码的层间预测新算法

针对可分级视频编码中图像输出质量与编码所需时间的权衡问题,提出了一种可行的层间预测算法.该算法结合空间可分级的层间结构特点,充分利用基本层宏块及其邻域宏块的备选模式,依据其统计规律计算当前增强层待编码宏块可能的最优备选模式,有效地减少参与运动估计运算的模式数量,以达到降低编码时间的目的.通过JSVM的仿真实验,该层间预测算法与传统的层间预测算法相比,在输出图像质量变化较小的前提下,能够大幅降低编码时间,提高编码效率.     

基于径向基神经网络的螺杆泵转速设定方法

为了研究受多种因素影响的螺杆泵转速控制系统,提出一种基于径向基神经网络的螺杆泵转速设定方法.利用径向基函数(RBF)神经网络对螺杆泵转速进行分析及预测,通过对螺杆泵的历史数据分析处理,得到螺杆泵转速的时间序列.将时间序列视为一个从输入到输出的非线性映射,并引入RBF神经网络来进行非线性映射的逼近.通过对网络进行学习与训练仿真实验,并与BP神经网络预测结果对比,表明应用RBF神经网络对螺杆泵转速进行短期预测精度更高、效果更好.该神经网络结构简单,非线性逼近能力强,通过对非样本点数据的实验验证,证明了该系统的可行性,具有一定的实用价值.     

基于时间序列模型的福建省高考录取率预测

高中毕业生数和普通高等教育招生数是影响高考录取率的2个重要因素。分析福建省小学、初中、高中各阶段的毕业率和升学率以及普通高等教育招生数,用时间序列方法分别建立合适的数学模型,进而预测高中毕业生人数和普通高等教育招生人数,推测出高考录取率的短期发展趋势。预测结果表明,2014—2015年福建省高考录取率可能逼近100%。     

两层轻钢龙骨体系动力特性及地震位移反应分析

由于和传统钢结构形式有差别,轻钢龙骨体系在计算地震剪力时,自振周期按《荷载规范》附录中的经验公式取值不尽合理,有必要对这种结构形式的动力特性及地震位移反应进行研究。以一两层格构轻钢龙骨教学楼为例,采用有限元软件ABAQUS对结构进行了整体建模,得到其前20阶自振频率及前3阶振型,分别采用底部剪力法和时程分析法分析了结构的地震位移反应,并进行了比较,为结构设计和计算提供方便。     

基于区间层次分析法的数控机床可靠性预计

针对将传统相似比较法用于数控机床可靠性预计时,评价对象和相似产品之间可靠性水平的差异程度很难准确评定的问题,提出了一种引入区间层次分析的数控机床可靠性预计方法。首先分析了整机和子系统的可靠性关系,建立了整机的可靠性预计模型。在子系统可靠性预计过程中,充分利用了相似产品的可靠性数据。全面分析了评价对象和相似产品之间的差异,建立了可靠性修正因子评估模型。使用区间层次分析法求出了可靠性修正因子,实现了确定性信息和模糊信息的互补。结合实例进行了数控机床的可靠性预计,验证了该方法的可行性。     

基于应变计的梁式桥位移响应测试方法

首先利用梁式桥位移、应变与挠曲曲率的力学关系,建立了由实测应变计算桥梁位移的数学模型。再利用广义最小二乘原理实现模型的求解,最终形成利用应变计算的梁式桥位移响应测试方法。最后通过数值算例验证了所提出方法的可行性和准确性,其精度可以满足工程应用的要求。本方法无需任何位移测量仪器,只利用已有的应变数据便能实时地分析出桥梁位移。