The structural characteristics and mechanical properties of the rock mass are important parts of the feasibility study on the nuclear power engineering field. In this study, by means of in situ investigation and stati...The structural characteristics and mechanical properties of the rock mass are important parts of the feasibility study on the nuclear power engineering field. In this study, by means of in situ investigation and statistics, the structural plane and joint fissure features of the rock mass were analyzed and discussed at different plots and different depth scopes in the Tianwan Nuclear Power engineering field, the rock mass integrality and its weathered degree were evaluated respectively, and especially, the unfavorable geological phenomena of strongly-weathered cystid existing in the field were studied. According to the results of indoor rock mechanical tests, in combination with drilling, the shallow seismic prospecting, sonic logging and point load tests, the statistical results of physical and mechanical indices of rocks at key plots of the field were analyzed, and the design parameters of the field were calculated. It provided scientific basis for the foundation design of the nuclear power plant.展开更多
针对结构面产状常规分类方法存在的不足,提出一种新型的结构面分类算法.基于K-Means算法的结构面分类,将人工鱼群算法(artificial fish swarm algorithm,AFSA)与K-Means算法相结合,建立了AFSA-RSK结构面分类算法.利用鱼群算法强大的寻...针对结构面产状常规分类方法存在的不足,提出一种新型的结构面分类算法.基于K-Means算法的结构面分类,将人工鱼群算法(artificial fish swarm algorithm,AFSA)与K-Means算法相结合,建立了AFSA-RSK结构面分类算法.利用鱼群算法强大的寻优能力,代替K-Means算法对结构面产状聚心集进行搜寻,并通过K-Means算法进行聚类.聚类完成后,选择相应参数指标对聚类效果进行评价.针对存在的问题,对鱼群算法的步长和视野进行修正,提高寻找聚心集的精度,动态地调整了聚类过程.将改进后的AFSA-RSK算法与其他算法进行比较,结果表明在迭代速度、聚类精度以及内存占比上,改进后的AFSA-RSK算法都要更优,更适合在结构面分组方面的应用.展开更多
文摘The structural characteristics and mechanical properties of the rock mass are important parts of the feasibility study on the nuclear power engineering field. In this study, by means of in situ investigation and statistics, the structural plane and joint fissure features of the rock mass were analyzed and discussed at different plots and different depth scopes in the Tianwan Nuclear Power engineering field, the rock mass integrality and its weathered degree were evaluated respectively, and especially, the unfavorable geological phenomena of strongly-weathered cystid existing in the field were studied. According to the results of indoor rock mechanical tests, in combination with drilling, the shallow seismic prospecting, sonic logging and point load tests, the statistical results of physical and mechanical indices of rocks at key plots of the field were analyzed, and the design parameters of the field were calculated. It provided scientific basis for the foundation design of the nuclear power plant.
文摘针对结构面产状常规分类方法存在的不足,提出一种新型的结构面分类算法.基于K-Means算法的结构面分类,将人工鱼群算法(artificial fish swarm algorithm,AFSA)与K-Means算法相结合,建立了AFSA-RSK结构面分类算法.利用鱼群算法强大的寻优能力,代替K-Means算法对结构面产状聚心集进行搜寻,并通过K-Means算法进行聚类.聚类完成后,选择相应参数指标对聚类效果进行评价.针对存在的问题,对鱼群算法的步长和视野进行修正,提高寻找聚心集的精度,动态地调整了聚类过程.将改进后的AFSA-RSK算法与其他算法进行比较,结果表明在迭代速度、聚类精度以及内存占比上,改进后的AFSA-RSK算法都要更优,更适合在结构面分组方面的应用.