格網畸變 的英文怎麼說
中文拼音 [géwǎngjībiàn]
格網畸變
英文
mesh distortion-
In actual engineering problems such as metal forming, structure crashworthiness et al., there are a great number of interface problems with elasto - plastic large deformation. when such large deformation or distortion is solved by finite element method, it must remesh process must be developed to get the less accurate numerical result
在金屬成型、結構碰撞、穿甲等工程領域存在大量的彈塑性大變形接觸問題,用有限元法模擬這些過程時,由於變形畸變的存在,往往需要採用網格重劃分才能得到較為準確的計算結果。Besides, the gauss interpolation function and the domain of support which includes much more nodal information than finite element method does is used to make meshless method much more earlier solve the large deformation and distortion and describe the local characteristic ( such as stress locality et al. ) more facilely
並由於在無網格法中採用了高次插值函數和包含有較多節點的支持域(在有限元法中的支持域只包含單元節點) ,從而使得無網格法能方便地處理變形畸變和應力應變局部化等問題。Thirdly, zero energy - error is introduced and used to optimize combined hybrid axisymmetric finite elements through adjusting the combined factor. the influence of combined factor on axisymmetric elements is discussed. finally, the main points of the whole paper are summed up and some further thoughts are put forward
數值實驗結果表明:能量協調和近似能量協調的軸對稱元都具有高精度、不發生poissonlocking和對網格畸變不敏感的特點;經過優化之後的軸對稱元性能能夠得到進一步改善。Numerical results all indicate that the two axisymmetric finite elements exhibit better numerical precision, excellent performance at the nearly incompressible limit and distortions of the element geometry, and element performances are improved after optimization. the layout of this thesis is follows
具體表現是:對畸變網格有很好的適應性;計算可靠,不發生poissonlocking現象;對雙線性等參元的粗網格精度有很好的改善。In this method, the camera calibration grid for estimating the distortion parameters is easy to get and there is no need to fix the camera when taking pictures
利用交比不變的性質,擬合全視場的無畸變的虛擬網格,得到圖像點的偏差,從而計算出畸變系數。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。分享友人