弦徑比 的英文怎麼說
中文拼音 [xiánjìngbǐ]
弦徑比
英文
chord-diameter ratio-
The results showed that : there were five stages in the rising process of the internal temperature of untreated, fire - retardant solution soaked, and fire - proof paint coated wood during the fire ; the carbonization rate of wood decreased by 21. 1 % ~ 35. 6 % and the rising speed of internal temperature also declined greatly when wood was soaked in fire - retardant solution or coated with fireproof paint ; the carbonization rate of white pine was 8. 5 % ~ 17. 4 % higher than that of the northeast china ash ; for untreated wood, the carbonization rate in tangential direction was 5. 8 % ~ 10. 5 % higher than that in radial direction ; the internal temperature of wood varies with the developing direction of combustion
結果表明：火災發生過程中未處理木材、阻燃浸漬處理和塗刷防火徐料木材內部溫度上升過程出現5個階段；經過阻燃浸漬處理和塗刷防火塗料后，木材的燃燒炭化速度降低了21 . 1 % ~ 35 . 6 % ，內部溫度上升速度大幅度下降；白皮松木材的燃燒炭化速度比水曲柳木材的燃燒炭化速度快8 . 5 % ~ 17 . 4 % ；未處理木材沿弦向的燃燒炭化速度比徑向快5 . 8 % ~ 10 . 5 % ；木材內部的溫度變化沿燃燒推進方向不同而不同。Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation. a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function. it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability, fast convergence, a rule to select the parameters of the networks
本文詳細研究了兩種典型的前向神經網路（ bp網路和rbf網路）的學習和訓練演算法，提出了一種新穎的基於緊支集餘弦函數的徑向基神經網路，其克服了常用的高斯型rbf神經網路雖具有緊支集但各基函數非正交的不足，其收斂速度快、網路參數選取有理論依據且相比于高斯型rbf神經網路具有更強的泛化能力，模擬驗證了其有效性。Because each path takes the form of a chord ? a straight line connecting two points at the edge of the sun ' s disk ? astronomers could measure the angular shift between the paths by comparing the durations of the transits
因為每條路徑都是一條弦（連接太陽盤面邊緣兩點的直線） ，天文學家便能比較凌日持續的時間，而計算路徑間的角差。The surface panel method has been applied to predict the hydrodynamic performance of highly skewed propeller. the surface of propeller and its trailing vortex are discreted by a number of small hyperboloidal quadrilateral panels with constant source and doublet distribution. for highly skewed propeller, the conventional method generating grid oriented along constant radii will result in a high aspect ratio and a high skewness and a twist panel near the propeller tip on blade surface, which result easily in incorrect calculation results of velovity on blade surface, even in iteration divergence and calculation failure. a “ non - conventional grid ” is developed to acoid these problems. this grid can effectively solve the problem of the calculation and convergence for highly skewed propeller. the non - linear kutta condition of equal pressure on upper and lower at the trailing edge is executed by the iterative procedure. by sample calculating, the obtained results are satisfied the experimental data
採用面元法預報大側斜螺旋槳水動力性能，螺旋槳表面及尾渦面離散為四邊形雙曲面元，每個面元上布置等強度源匯和偶極子分佈.對于大側斜螺旋槳而言，槳葉表面採用常規的等半徑網格劃分方法在近葉梢處將導致大展弦比、大側斜和扭曲面元，這容易使槳葉表面速度的計算結果不正確，甚至會導致迭代過程發散及計算失敗.文中建立了一種「非常規網格」劃分方法，能有效地解決大側斜螺旋槳的計算和收斂問題.槳葉隨邊處通過迭代實現非線性等壓庫塔條件This paper introduced the composition and classification of suspendome, generalized the nonlinear finite element computing methods. analysis to suspend - dome and single layer reticulate is conducted separately to the five type suspendomes which have same span but different rise - span, including force, displacement, eigenvalue buckling, nonlinear buckling, load - displacemnt tracking and nonlinear ultimate carrying capacity, every performance of suspendome was expatiated in the paper
通過對同一跨度、不同矢跨比的5種弦支穹頂結構和單層網殼進行的靜內力、節點位移、結構體系應變能、特徵值屈曲、非線性屈曲、非線性極限承載力、荷載-位移平衡路徑跟蹤分析和比較，闡述了弦支穹頂結構的各項性能，通過與單層網殼的比較，闡明了弦支穹頂結構的優越性。The characteristics of dynamic response of points along generating line and circumferential line of the cylindrical shells are analyzed, and the effects of l / r ratio on the dynamic response of the cylindrical shells under line - loading are considered as well
分析了沿母線方向和環向各點應力響應的特點以及結構長徑比對應力響應的影響，在此基礎上比較了沿環向呈單餘弦分佈和雙正弦分佈載荷的應力響應。分享友人