grid convergence 中文意思是什麼

grid convergence 解釋
制圖角，子午線，收斂角
  • grid : n 1 格子，格柵。2 （蓄電池的）鉛板。3 【無線電】柵級。4 鐵道網；【電學】電力網；〈英國〉（全國）...
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. At any point the convergence is the angle between the meridian as represented on the plane and the n grid line.

    一點上的收斂角是子午線在平面上的投影與N坐標線之間的角度。
  2. By comparing vertical fracturing well simulation with a streamline model and black oil model, it was pointed out that in simulation of vertical fracturing wells of hydraulic fracturing by using grid amplification there existed many drawbacks, such as grid orientation, calculating times doubled with the increase of grid number, the heterogeneity of model increased as fracture existence, which resulted in difficulties of equation solution and convergence

    摘要通過流線模型和黑油模型模擬垂直裂縫壓裂井的對比分析，指出了在黑油模型中運用網格放大技術模擬水力壓裂垂直裂縫井生產動態存在的諸多缺陷，如網格取向嚴重、計算時間隨網格數目增加而成倍增加、裂縫的存在增加模型的非均質性從而嚴重加大方程的求解難度，方程求解出現不收斂等。
  3. At any point the convergence is the angle between the meridian as represented on the plane and the n grid line

    一點上的收斂角是子午線在平面上的投影與n坐標線之間的角度。
  4. 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
  5. The main process of the method is : after the converged solution for a certain layer of grid is obtained, all elements that are required to be refined based on error analysis are automatically found and output. as the distribution of the elements to be refined is often discrete and irregular, regular square blocks consisting of elements to be refined need to be manually built and input to the computer. the computation for the refined layer grid is then carried out and the procedure is repeated until the final convergence criterion is satisfied

    該方法的特點是：當某一層次網格取得收斂解后，程序根據誤差分析自動判別並輸出該層次網格內需加密的單元，由於需加密單元的分佈一般較為離散和不規則，因此通過人工介入對這些單元進行組塊並輸入到計算機，程序便開始進行下一層次網格的迭代計算，直至得到滿足最終收斂判據的解。
  6. The quality of grid directly affects the precision of numerical simulation and the convergence of numerical compute, furthermore, this effect is even crucial in many instances

    網格品質的好壞直接影響到數值模擬的精度和數值計算的收斂性，而且這種影響在許多情況下甚至是決定性的。
  7. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
  8. Then the explicit finite - volume method for the two - dimensional steady navier - stocks equations is studied. in order to prevent odd - even decoupling of the solution and oscillations near the shock waves, artificial dissipation is added. local time step, residue averaging, enthalpy damping and multi - grid method are used to accelerate the convergence during the five - step runge - kutta explicit time marching

    在計算中，採用五步runge - kutta顯式時間推進，引進人工耗散項以克服中心差分固有的奇偶不關聯性和抑制激波附近解的振蕩，應用了當地時間步長、殘值光順、焓阻尼、多重網格法等措施加速計算收斂。
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