通信网络传输数据断点区域智能检测方法研究

现有检测方法对数据断点区域定位误差大、耗时长,难以实现无线网络环境下通信流断点区的高精度检测。针对现有检测方法的缺陷,提出了一种新的检测方法。根据数据断点区域信息特征分析,设定断点区域的距离阈值,运用聚类算法选取最优检测路径,通过计算反馈权值向量准确定位断点区域,实现大型通信网络断点的有效检测。实验结果表明,通过仿真数据集传输断点检测,能够提高检测效率和准确性,缩短检测耗时,确保通信网络数据传输的稳定性和可靠性。

关于移动网络数据流断点区优化检测仿真研究

数据流断点区检测用于挖掘识别动态数据流中的异常数据,由于移动网络数据流具有无限输入与动态变化等特征,针对现有算法存在对动态数据的聚类精度不高、离群点的处理效率较差的缺陷,难以实现移动网络环境下数据流断点区的实时高精度检测,提出了一种改进加权近邻密度的动态数据流断点区优化检测算法。上述算法利用微簇的密度来发现数据流中的离群点与簇连接,用以表示动态数据流的演化信息,为了更准确体现数据流的原始特征,在算法模型中引进了动态簇更新维护机制,并且通过改进权值邻近算法,当计算模型检测出有新对象类产生,根据聚类算法重建计算模型,这样既能准确实时发现海量数据流的变化,同时也减少了计算复杂度。通过仿真数据集进行实验分析,验证了提出的优化动态数据流断点区域检测方法在移动网络数据流离群数据检测挖掘方面的有效性,聚类检测的精度与效率具有明显优势。

Failure simulation in resistance spot-welded lap-joints using cohesive zone modeling

This paper concentrates on simulating fracture in thin walled single-lap joints connected by resistance spot-welding(RSW)process which were subjected to tensile loading.For this purpose,three sets of lap-joints with different spot configurations were tested to achieve the joints’tensile behavior.To simulate the joints tensile behavior,firstly a 2D axisymmetric finite element(FE)model was used to calculate residual stresses induced during the welding process.Then the results were transferred to 3D models as pre-stress.In this step,cohesive zone model(CZM)technique was used to simulate fracture in the models under tensile load.Cohesive zone parameters were extracted using coach-peel and shear lap specimens.The results were employed to simulate deformation and failure in single lap spot weld samples.It has been shown that considering the residual stresses in simulating deformation and fracture load enables quite accurate predictions.