摘要
针对边坡稳定性评价的多因素影响问题,建立了边坡稳定性评价的投影寻踪聚类模型。该模型依据样本自身的数据特性寻求最优的投影方向,并通过投影方向计算反映评价样本综合特征信息的投影特征指标,然后再根据投影特征指标值进行边坡稳定性评价分析,因而避免了诸如各评价因素权重确定的人为任意性。实例分析结果与边坡稳定性实际状态完全一致,表明该技术切实可行,为边坡稳定性分析提供了一条新的途径。
The projection pursuit cluster model (PPC) is applied to study the problem of multi-factor evaluation of slope stability. Projection pursuit can project high dimensional data to low dimensional space. Through studying the main characteristics in 1-D space, the key information in the original data can be obtained, which can be used to classify or evaluate the slope stability. In addition, with application of this method, the subjectivity of safety factors can also be effectively eliminated. The results of case study show that the analysis results are completely consistent with the actual situation, so PPC model is feasible in practice, and it provides a new approach for slope stability evaluation.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2004年第16期2687-2689,共3页
Chinese Journal of Rock Mechanics and Engineering
基金
国家自然科学基金(40271024)资助项目
关键词
边坡
稳定性
投影寻踪
聚类模型
Evaluation
Mathematical models
Projection systems
