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  • 1、 采用原始變量法

    1、 采用原始變量法,即以速度U、V及壓力P作為直接求解的變量 2、 守恒型的差分格式,離散方程系對(duì)守恒型的控制方程通過(guò)對(duì)控制容積作積分而得出的,無(wú)論網(wǎng)格疏密程度如何,均滿足在計(jì)算區(qū)域內(nèi)守恒的條件; 3、 采用區(qū)域離散化方法B,即先定控制體界面、再定節(jié)點(diǎn)位置 4、 采用交叉網(wǎng)格,速度U、V與其他變量分別存儲(chǔ)于三套網(wǎng)格系統(tǒng)中; 5、 不同的項(xiàng)在空間離散化過(guò)程中去不同的型線假設(shè),源項(xiàng)采用局部線性化方法;擴(kuò)散——對(duì)流項(xiàng)采用乘方格式(但很容易轉(zhuǎn)化為中心差分、迎風(fēng)差分或混合格式);街面上的擴(kuò)散系數(shù)采用調(diào)和平均法,而密度與流速則用線性插值; 6、 不穩(wěn)態(tài)問(wèn)題采用全隱格式,以保證在任何時(shí)間步長(zhǎng)下均可獲得具有物理意義的解; 7、 邊界條件采用附加源項(xiàng)法處理; 8、 耦合的流速與壓力采用SIMPLE算法來(lái)求解; 9、 迭代式的求解方法,對(duì)非線性問(wèn)題,整個(gè)求解過(guò)程具有迭代性質(zhì);對(duì)于代數(shù)方程也采用迭代法求解; 10、 采用交替方向先迭代法求解代數(shù)方程并補(bǔ)以塊修正技術(shù)以促進(jìn)收斂。

    標(biāo)簽: 變量

    上傳時(shí)間: 2013-11-25

    上傳用戶:wcl168881111111

  • 1、 采用原始變量法

    1、 采用原始變量法,即以速度U、V及壓力P作為直接求解的變量 2、 守恒型的差分格式,離散方程系對(duì)守恒型的控制方程通過(guò)對(duì)控制容積作積分而得出的,無(wú)論網(wǎng)格疏密程度如何,均滿足在計(jì)算區(qū)域內(nèi)守恒的條件; 3、 采用區(qū)域離散化方法B,即先定控制體界面、再定節(jié)點(diǎn)位置 4、 采用交叉網(wǎng)格,速度U、V與其他變量分別存儲(chǔ)于三套網(wǎng)格系統(tǒng)中; 5、 不同的項(xiàng)在空間離散化過(guò)程中去不同的型線假設(shè),源項(xiàng)采用局部線性化方法;擴(kuò)散——對(duì)流項(xiàng)采用乘方格式(但很容易轉(zhuǎn)化為中心差分、迎風(fēng)差分或混合格式);街面上的擴(kuò)散系數(shù)采用調(diào)和平均法,而密度與流速則用線性插值; 6、 不穩(wěn)態(tài)問(wèn)題采用全隱格式,以保證在任何時(shí)間步長(zhǎng)下均可獲得具有物理意義的解; 7、 邊界條件采用附加源項(xiàng)法處理; 8、 耦合的流速與壓力采用SIMPLE算法來(lái)求解; 9、 迭代式的求解方法,對(duì)非線性問(wèn)題,整個(gè)求解過(guò)程具有迭代性質(zhì);對(duì)于代數(shù)方程也采用迭代法求解; 10、 采用交替方向先迭代法求解代數(shù)方程并補(bǔ)以塊修正技術(shù)以促進(jìn)收斂。

    標(biāo)簽: 變量

    上傳時(shí)間: 2016-12-28

    上傳用戶:heart520beat

  • 1、 采用原始變量法

    1、 采用原始變量法,即以速度U、V及壓力P作為直接求解的變量 2、 守恒型的差分格式,離散方程系對(duì)守恒型的控制方程通過(guò)對(duì)控制容積作積分而得出的,無(wú)論網(wǎng)格疏密程度如何,均滿足在計(jì)算區(qū)域內(nèi)守恒的條件; 3、 采用區(qū)域離散化方法B,即先定控制體界面、再定節(jié)點(diǎn)位置 4、 采用交叉網(wǎng)格,速度U、V與其他變量分別存儲(chǔ)于三套網(wǎng)格系統(tǒng)中; 5、 不同的項(xiàng)在空間離散化過(guò)程中去不同的型線假設(shè),源項(xiàng)采用局部線性化方法;擴(kuò)散——對(duì)流項(xiàng)采用乘方格式(但很容易轉(zhuǎn)化為中心差分、迎風(fēng)差分或混合格式);街面上的擴(kuò)散系數(shù)采用調(diào)和平均法,而密度與流速則用線性插值; 6、 不穩(wěn)態(tài)問(wèn)題采用全隱格式,以保證在任何時(shí)間步長(zhǎng)下均可獲得具有物理意義的解; 7、 邊界條件采用附加源項(xiàng)法處理; 8、 耦合的流速與壓力采用SIMPLE算法來(lái)求解; 9、 迭代式的求解方法,對(duì)非線性問(wèn)題,整個(gè)求解過(guò)程具有迭代性質(zhì);對(duì)于代數(shù)方程也采用迭代法求解; 10、 采用交替方向先迭代法求解代數(shù)方程并補(bǔ)以塊修正技術(shù)以促進(jìn)收斂。

    標(biāo)簽: 變量

    上傳時(shí)間: 2013-12-28

    上傳用戶:Avoid98

  • uci data structure mapper can map uci config sections into custom c data structures automatically b

    uci data structure mapper can map uci config sections into custom c data structures automatically by callbacks

    標(biāo)簽: data automatically structures uci

    上傳時(shí)間: 2013-11-30

    上傳用戶:123456wh

  • 一個(gè)基于GTK+的單詞數(shù)值計(jì)算器

    一個(gè)基于GTK+的單詞數(shù)值計(jì)算器,1、 按照規(guī)則計(jì)算單詞的值,如果 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 26個(gè)字母(全部用大寫)的值分別為 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26,如: WINJACK這個(gè)單詞的值就為:W+I+N+J+A+C+K=23+9+14+1+3+11=71% HARDWORK=H+A+R+D+W+O+R+D=8+1+18+4+23+15+18+11=98% LOVE=L+O+V+E=12+15+22+5=54% LUCK=L+U+C+K=12+21+3+11=47% ATTITUDE= A+T+T+I+T+U+D+E=1+20+20+9+20+24+4+5=100% 2、對(duì)程序的界面布局參考如下圖所示,在第一個(gè)單行文本框輸入一個(gè)單詞,點(diǎn)擊“計(jì)算”按鈕,按照以上算法計(jì)算出該單詞的值。 3、如果在最下面的單行文本框輸入一個(gè)文件路徑,此文件每行記錄一個(gè)單詞,那么經(jīng)過(guò)程序計(jì)算出各個(gè)單詞的值,并把結(jié)果輸出到當(dāng)前目錄下result.txt文件中。如果文件不存在,應(yīng)該提示錯(cuò)誤。

    標(biāo)簽: GTK 數(shù)值 計(jì)算器

    上傳時(shí)間: 2014-01-11

    上傳用戶:康郎

  • Create a Delaunay triangulation or Voronoi diagram by clicking points. Delaunay triangulations and V

    Create a Delaunay triangulation or Voronoi diagram by clicking points. Delaunay triangulations and Voronoi diagrams are among the most widely used data structures in the field of Computational Geometry. These are Java-oriented source codes.

    標(biāo)簽: Delaunay triangulations triangulation clicking

    上傳時(shí)間: 2013-11-25

    上傳用戶:zhaiye

  • FDMP the body of the kernel, the Information-Technology Promotion Agency (IPA) adopted by the unexpl

    FDMP the body of the kernel, the Information-Technology Promotion Agency (IPA) adopted by the unexplored themes of Creativity software is one of the "multi-processor system-level development environment for the development of the system" as part of the development Susumu Honda也氏Was responsible.

    標(biāo)簽: the Information-Technology Promotion adopted

    上傳時(shí)間: 2013-12-25

    上傳用戶:dengzb84

  • RFID is an area of automatic identifi cation that is gaining momentum and is considered by som

    RFID is an area of automatic identifi cation that is gaining momentum and is considered by some to emerge as one of the most pervasive computing technologies in history. In its simplest form, RFID is a similar concept to bar coding. It is seen as a means of enhancing data processes and is comple- mentary to existing technologies. It is a proven technology that has been in use since the 1970s.

    標(biāo)簽: considered automatic is momentum

    上傳時(shí)間: 2017-03-19

    上傳用戶:woshini123456

  • We analyze, both analytically and numerically, the effectiveness of cloaking an infinite cylinder f

    We analyze, both analytically and numerically, the effectiveness of cloaking an infinite cylinder from observations by electromagnetic waves in three dimensions. We show that, as truncated approximations of the ideal permittivity and permeability tensors tend towards the singular ideal cloaking fields, so that the anisotropy ratio tends to infinity, the D and B fields blow up near the cloaking surface. Since the metamaterials used to implement cloaking are based on effective medium theory, the resulting large variation in D and B will pose a challenge to the suitability of the field averaged characterization of " and 碌. We also consider cloaking with and without the SHS (softand- hard surface) lining, shown in [6] to be theoretically necessary for cloaking in the cylindrical geometry. We demonstrate numerically that cloaking is significantly improved by the SHS lining, with both the far field of the scattered wave significantly reduced and the blow up of D and B prevented.

    標(biāo)簽: effectiveness analytically numerically cloaking

    上傳時(shí)間: 2017-03-30

    上傳用戶:zxc23456789

  • In computer vision, sets of data acquired by sampling the same scene or object at different times, o

    In computer vision, sets of data acquired by sampling the same scene or object at different times, or from different perspectives, will be in different coordinate systems. Image registration is the process of transforming the different sets of data into one coordinate system. Registration is necessary in order to be able to compare or integrate the data obtained from different measurements. Image registration is the process of transforming the different sets of data into one coordinate system. To be precise it involves finding transformations that relate spatial information conveyed in one image to that in another or in physical space. Image registration is performed on a series of at least two images, where one of these images is the reference image to which all the others will be registered. The other images are referred to as target images.

    標(biāo)簽: different computer acquired sampling

    上傳時(shí)間: 2013-12-28

    上傳用戶:來(lái)茴

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