摘要
以高精度评价建筑边坡稳定性为目的,提出基于云模型的建筑边坡稳定性评价方法。采用基于信息可替代性的评价指标筛选方法,保留信息含量显著、且累计信息贡献率大于85%的建筑边坡稳定性评价指标,并通过指标的信息可替代性,去除可替代性显著的建筑边坡稳定性评价指标,获取影响建筑边坡稳定性的核心指标;将此指标导入基于云模型的边坡风险评估模型中,通过云模型与逆向云发生器构建评语集、权系数矩阵与综合评价矩阵后,把两种矩阵变换为模糊合成算子与云计算形式,运算获取云模型数字形式的评价结果,将其输入正向云发生器,生成评价结果的云滴图,显示边坡稳定性评价结果,判断建筑边坡稳定性等级。经测试,该方法对建筑边坡稳定性评价后,评价结果的均方误差、平均绝对误差均低于0.02,评价精度较高。
For the purpose of high-precision evaluation of building slope stability, a method of building slope stability evaluation based on cloud model is proposed.The evaluation index screening method based on information substitutability is adopted to retain the evaluation index of building slope stability with significant information content and cumulative information contribution rate greater than 85%.Through the information substitutability of the index, the evaluation index of building slope stability with significant substitutability is removed, and the core index affecting the stability of building slope is obtained;this index is introduced into the slope risk assessment model based on cloud model.After the evaluation set, weight coefficient matrix and comprehensive evaluation matrix are constructed by cloud model and reverse cloud generator, the two matrices are transformed into fuzzy synthesis operator and cloud computing form, and the evaluation results of digital form of cloud model are obtained by operation, which are input into forward cloud generator to generate cloud drop map of evaluation results, display the slope stability evaluation results, judge the stability level of building slope.After testing, the mean square error and the mean absolute error of the evaluation results are lower than 0.02,and the evaluation accuracy is high.
作者
唐百晓
TANG Baixiao(Department of Engineering Management,Ankang university,Ankang 725000,China)
出处
《粉煤灰综合利用》
CAS
2022年第4期20-25,共6页
Fly Ash Comprehensive Utilization
关键词
云模型
建筑
边坡
稳定性评价
信息可替代性
指标筛选
cloud model
architecture
slope
stability evaluation
information substitutability
index screening
