To solve the problems of blindness and inefficiency existing in the determination of meso-level mechanical parameters of particle flow code (PFC) models, we firstly designed and numerically carried out orthogonal test...To solve the problems of blindness and inefficiency existing in the determination of meso-level mechanical parameters of particle flow code (PFC) models, we firstly designed and numerically carried out orthogonal tests on rock samples to investigate the correlations between macro-and meso-level mechanical parameters of rock-like bonded granular materials. Then based on the artificial intelligent technology, the intelligent prediction systems for nine meso-level mechanical parameters of PFC models were obtained by creating, training and testing the prediction models with the set of data got from the orthogonal tests. Lastly the prediction systems were used to predict the meso-level mechanical parameters of one kind of sandy mudstone, and according to the predicted results the macroscopic properties of the rock were obtained by numerical tests. The maximum relative error between the numerical test results and real rock properties is 3.28% which satisfies the precision requirement in engineering. It shows that this paper provides a fast and accurate method for the determination of meso-level mechanical parameters of PFC models.展开更多
基于ERA5再分析资料、中国自动气象站与NOAA(National Oceanic and Atmospheric Administration)气候预测中心卫星反演降水资料CMORPH(Climate Prediction Center Morphing Technique)融合的逐时降水量网格数据集,从环流背景、水汽输送...基于ERA5再分析资料、中国自动气象站与NOAA(National Oceanic and Atmospheric Administration)气候预测中心卫星反演降水资料CMORPH(Climate Prediction Center Morphing Technique)融合的逐时降水量网格数据集,从环流背景、水汽输送、涡度收支等方面对比分析了华南沿海地区2011年6月29日极端持续性强降水事件(以下简称“11.6”强降水)与2013年4月25日极端短时强降水事件(以下简称“13.4”强降水)的发生发展机制。结果显示:“11.6”强降水伴随着稳定的低压天气系统,高空由涡旋主导,低空具有稳定的水汽输送带;而“13.4”强降水不具备稳定的天气系统,低空水汽输送少,但由于存在短时的强水汽辐合导致小时降水量大。“11.6”强降水存在更大的正涡度收入,低空急流是低层涡度收入的关键,中层涡旋的生成加强是中层涡度收入的关键,同时两者的正反馈作用也是降水维持的重要因素。展开更多
基金the National Natural Science Foundation of China (Nos. 50674083 and 51074162) for its financial support
文摘To solve the problems of blindness and inefficiency existing in the determination of meso-level mechanical parameters of particle flow code (PFC) models, we firstly designed and numerically carried out orthogonal tests on rock samples to investigate the correlations between macro-and meso-level mechanical parameters of rock-like bonded granular materials. Then based on the artificial intelligent technology, the intelligent prediction systems for nine meso-level mechanical parameters of PFC models were obtained by creating, training and testing the prediction models with the set of data got from the orthogonal tests. Lastly the prediction systems were used to predict the meso-level mechanical parameters of one kind of sandy mudstone, and according to the predicted results the macroscopic properties of the rock were obtained by numerical tests. The maximum relative error between the numerical test results and real rock properties is 3.28% which satisfies the precision requirement in engineering. It shows that this paper provides a fast and accurate method for the determination of meso-level mechanical parameters of PFC models.
文摘基于ERA5再分析资料、中国自动气象站与NOAA(National Oceanic and Atmospheric Administration)气候预测中心卫星反演降水资料CMORPH(Climate Prediction Center Morphing Technique)融合的逐时降水量网格数据集,从环流背景、水汽输送、涡度收支等方面对比分析了华南沿海地区2011年6月29日极端持续性强降水事件(以下简称“11.6”强降水)与2013年4月25日极端短时强降水事件(以下简称“13.4”强降水)的发生发展机制。结果显示:“11.6”强降水伴随着稳定的低压天气系统,高空由涡旋主导,低空具有稳定的水汽输送带;而“13.4”强降水不具备稳定的天气系统,低空水汽输送少,但由于存在短时的强水汽辐合导致小时降水量大。“11.6”强降水存在更大的正涡度收入,低空急流是低层涡度收入的关键,中层涡旋的生成加强是中层涡度收入的关键,同时两者的正反馈作用也是降水维持的重要因素。
