Strength and deformation behaviors of rockfill materials,key factors for determining the stability of dams,pertain strongly to the grain crushing characteristics.In this study,single-particle crushing tests were carri...Strength and deformation behaviors of rockfill materials,key factors for determining the stability of dams,pertain strongly to the grain crushing characteristics.In this study,single-particle crushing tests were carried out on rockfill materials with nominal particle diameters of 2.5 mm,5 mm and 10 mm to investigate the particle size effect on the single-particle strength and the relationship between the characteristic stress and probability of non-failure.Test data were found to be described by the Weibull distribution with the Weibull modulus of 3.24.Assemblies with uniform nominal grains were then subjected to one-dimensional compression tests at eight levels of vertical stress with a maximum of 100 MPa.The yield stress in one-dimensional compression tests increased with decreasing the particle size,which could be estimated from the single-particle crushing tests.The void ratio-vertical stress curve could be predicted by an exponential function.The particle size distribution curve increased obviously with applied stresses less than 16 MPa and gradually reached the ultimate fractal grading.The relative breakage index became constant with stress up to 64 MPa and was obtained from the ultimate grading at the fractal dimension(a?2:7).A hyperbolical function was also found useful for describing the relationship between the relative breakage index and input work during one-dimensional compression tests.展开更多
为提高短期风电功率预测精度,缩短模型训练时间,提出了一种短期风电功率集成预测方法。根据风速功率曲线和风速频率特征,将风速划分为高、中、低三段,并对每段的风速功率特征进行统计分析。高、低风速段功率波动较大,使用最小二乘支持...为提高短期风电功率预测精度,缩短模型训练时间,提出了一种短期风电功率集成预测方法。根据风速功率曲线和风速频率特征,将风速划分为高、中、低三段,并对每段的风速功率特征进行统计分析。高、低风速段功率波动较大,使用最小二乘支持向量机(Least Squares Support Vector Machine,LSSVM)方法可取得较高的预测精度。中风速段风速数据点较多,且风速和功率有明显的物理关系,使用高斯(Gaussian)模型预测。并用风速功率等级表对各段预测的结果进行订正,保证了算法的稳定性。用上海某风电场2014年的历史数据,验证了Gaussian模型以及高、中、低风速段对应的预测算法选取的合理性。与LSSVM预测方法相比较,集成预测方法既提高了预测精度又缩短了预测时间,适合风电场短期功率的实时预测。展开更多
为了缩短花椒真空干燥时间,提高其干制品品质,降低能耗,选取真空度V(0.02、0.04、0.06MPa)和干燥温度T(50、60、70℃)进行全面试验。对花椒尺度参数α、形状参数β、有效扩散系数D_(eff)及几何参数R_g进行研究,利用Weibull分布函数对数...为了缩短花椒真空干燥时间,提高其干制品品质,降低能耗,选取真空度V(0.02、0.04、0.06MPa)和干燥温度T(50、60、70℃)进行全面试验。对花椒尺度参数α、形状参数β、有效扩散系数D_(eff)及几何参数R_g进行研究,利用Weibull分布函数对数据进行拟合,计算花椒真空干燥平均干燥活化能E_a,通过加权评分法对各干燥条件下干制品品质进行综合评价。研究表明,干燥温度(T)和真空度(V)与干燥时间均呈正相关性;花椒形状参数β值为1.336 9~1.613 2,接近于1,即干燥特性曲线严格服从指数分布;有效水分扩散系数D_(eff)值为0.715×10^(-8)-2.244×10^(-8)m^2/s,不同干燥条件下,几何参数R_g值均接近于1,即估算有效系数D_(cal)与试验所得有效扩散系数D_(eff)非常接近,有效水分扩散系数线性拟合方程拟合度较高。对花椒真空干燥活化能Ea求解,其值为24.36 k J/mol,易于干燥;花椒色泽受温度影响较大,温度越低所得△E*值越小,即色泽变化越小,破壳率μ与干燥温度和真空度均呈正相关性。展开更多
基金financial support from the 111 Project (Grant No. B13024)the National Science Foundation of China (Grant Nos. 51509024, 51678094 and 51578096)+2 种基金the Fundamental Research Funds for the Central Universities (Grant No. 106112017CDJQJ208848)the Special Financial Grant from the China Postdoctoral Science Foundation (Grant No. 2017T100681)the State Key Laboratory for Geo Mechanics and Deep Underground Engineering, China University of Mining and Technology (Grant No. SKLGDUEK1810)
文摘Strength and deformation behaviors of rockfill materials,key factors for determining the stability of dams,pertain strongly to the grain crushing characteristics.In this study,single-particle crushing tests were carried out on rockfill materials with nominal particle diameters of 2.5 mm,5 mm and 10 mm to investigate the particle size effect on the single-particle strength and the relationship between the characteristic stress and probability of non-failure.Test data were found to be described by the Weibull distribution with the Weibull modulus of 3.24.Assemblies with uniform nominal grains were then subjected to one-dimensional compression tests at eight levels of vertical stress with a maximum of 100 MPa.The yield stress in one-dimensional compression tests increased with decreasing the particle size,which could be estimated from the single-particle crushing tests.The void ratio-vertical stress curve could be predicted by an exponential function.The particle size distribution curve increased obviously with applied stresses less than 16 MPa and gradually reached the ultimate fractal grading.The relative breakage index became constant with stress up to 64 MPa and was obtained from the ultimate grading at the fractal dimension(a?2:7).A hyperbolical function was also found useful for describing the relationship between the relative breakage index and input work during one-dimensional compression tests.
文摘为提高短期风电功率预测精度,缩短模型训练时间,提出了一种短期风电功率集成预测方法。根据风速功率曲线和风速频率特征,将风速划分为高、中、低三段,并对每段的风速功率特征进行统计分析。高、低风速段功率波动较大,使用最小二乘支持向量机(Least Squares Support Vector Machine,LSSVM)方法可取得较高的预测精度。中风速段风速数据点较多,且风速和功率有明显的物理关系,使用高斯(Gaussian)模型预测。并用风速功率等级表对各段预测的结果进行订正,保证了算法的稳定性。用上海某风电场2014年的历史数据,验证了Gaussian模型以及高、中、低风速段对应的预测算法选取的合理性。与LSSVM预测方法相比较,集成预测方法既提高了预测精度又缩短了预测时间,适合风电场短期功率的实时预测。
文摘为了缩短花椒真空干燥时间,提高其干制品品质,降低能耗,选取真空度V(0.02、0.04、0.06MPa)和干燥温度T(50、60、70℃)进行全面试验。对花椒尺度参数α、形状参数β、有效扩散系数D_(eff)及几何参数R_g进行研究,利用Weibull分布函数对数据进行拟合,计算花椒真空干燥平均干燥活化能E_a,通过加权评分法对各干燥条件下干制品品质进行综合评价。研究表明,干燥温度(T)和真空度(V)与干燥时间均呈正相关性;花椒形状参数β值为1.336 9~1.613 2,接近于1,即干燥特性曲线严格服从指数分布;有效水分扩散系数D_(eff)值为0.715×10^(-8)-2.244×10^(-8)m^2/s,不同干燥条件下,几何参数R_g值均接近于1,即估算有效系数D_(cal)与试验所得有效扩散系数D_(eff)非常接近,有效水分扩散系数线性拟合方程拟合度较高。对花椒真空干燥活化能Ea求解,其值为24.36 k J/mol,易于干燥;花椒色泽受温度影响较大,温度越低所得△E*值越小,即色泽变化越小,破壳率μ与干燥温度和真空度均呈正相关性。
