-The formulation of ring analogy method for the prediction of static strength (ductile collapse) of tubular T, X joints under axial compression based on the limit analysis of the ring with some assumptions is presente...-The formulation of ring analogy method for the prediction of static strength (ductile collapse) of tubular T, X joints under axial compression based on the limit analysis of the ring with some assumptions is presented in this papaer. The regression formula for the effective length of the chord based on test results is established by means of the least square method. The results computed by the present semi-analytic formula are compared with previous results and test data. They are quite close to each other. The accuracy of the present formula depends on the reasonable selection of the effective length of the chord, which requires numerous test data.展开更多
Based on the past related research work,a new analogy-dynamical monthly predic- tion model is established with the operational dynamic extended-range forecast model T63L16 (hereafter T63) as a dynamic kernel.The month...Based on the past related research work,a new analogy-dynamical monthly predic- tion model is established with the operational dynamic extended-range forecast model T63L16 (hereafter T63) as a dynamic kernel.The monthly mean circulation predicition with T63 is considered as a control experiment,and the prediction with the analogy-dynamical model as a contrast one.It is found that the anal- ogy-dynamical model has more precise forecast skill than the T63 model through monthly mean numerical prediction experiment.展开更多
文摘-The formulation of ring analogy method for the prediction of static strength (ductile collapse) of tubular T, X joints under axial compression based on the limit analysis of the ring with some assumptions is presented in this papaer. The regression formula for the effective length of the chord based on test results is established by means of the least square method. The results computed by the present semi-analytic formula are compared with previous results and test data. They are quite close to each other. The accuracy of the present formula depends on the reasonable selection of the effective length of the chord, which requires numerous test data.
文摘Based on the past related research work,a new analogy-dynamical monthly predic- tion model is established with the operational dynamic extended-range forecast model T63L16 (hereafter T63) as a dynamic kernel.The monthly mean circulation predicition with T63 is considered as a control experiment,and the prediction with the analogy-dynamical model as a contrast one.It is found that the anal- ogy-dynamical model has more precise forecast skill than the T63 model through monthly mean numerical prediction experiment.
