溜砂坡的形成诱发因素及失稳破坏条件

通过对溜砂坡形成条件和诱发因素的分析,得出溜砂坡形成的3个必备条件是物质条件、地形条件和堆积条件;溜砂的主要诱发因素是地表水、地下水、河流冲刷、动荷载作用、风荷载作用、冻融作用、植物及人为因素。对溜砂坡砂样进行有关物理与力学试验,得出溜砂坡的粒度成分以中、粗砂和角砾为主;内摩擦角总体上是烘干状态大于天然状态,天然状态又大于饱和状态;粘聚力则呈现出天然时的大于饱和时的,而饱和时的又大于烘干时的规律。通过模型试验和理论分析,将双因素方差分析原理运用到砂粒粒径、含水量对溜砂坡天然休止角大小的影响分析中,结果说明这2种因素对溜砂坡天然休止角的影响都很大,并且含水量因素对天然休止角的影响,与砂粒粒径因素相比要大得多。运用线性回归理论对砂粒粒径、含水量、内摩擦角以及粘聚力等4个影响砂坡天然休止角的因素进行线性拟合,所得到的公式可用于天然休止角大小的估算。     

A New Multi-sensor Data Fusion Algorithm Based on EMD-MMSE

A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean square error(MMSE)estimator is used to calculate the weights of the corresponding series.Finally,the fused signal is the weighted addition of all these series.The experiments in lab testified the efficiency of this method.In addition,the comparison in fusion time and fusion results with existing fusion method based on wavelet and average technique shows the advantage of this method greatly.