LU-SGS
關(guān)注創(chuàng)建者：whtC 創(chuàng)建時(shí)間：2019-06-25
LU-SGS的實(shí)例教程
Courant-Friedrichs-Lewy condition of the finest gridCFL_NUMBER= 5.0%% Adaptive CFL number (NO, YES)CFL_ADAPT= NO%% Parameters of the adaptive CFL number (factor down, factor up, CFL min value,% CFL max value )CFL_ADAPT_PARAM= ( 1.5, 0.5, 5.0, 20.0 )%% Number of total iterationsEXT_ITER= 10000
（6）限制器設(shè)置
% Coefficient for the limiterVENKAT_LIMITER_COEFF= 0.05%% Coefficient for the sharp edges limiterADJ_SHARP_LIMITER_COEFF= 3.0%% Reference coefficient (sensitivity) for detecting sharp edges.REF_SHARP_EDGES= 3.0%% Remove sharp edges from the sensitivity evaluation (NO, YES)SENS_REMOVE_SHARP= NO
（7）迭代參數(shù)
% Linear solver for implicit formulations (BCGSTAB, FGMRES)LINEAR_SOLVER= FGMRES%% Preconditioner of the Krylov linear solver (JACOBI, LINELET, LU_SGS
展開 （*****重點(diǎn)推薦）
該書比較系統(tǒng)，有限基本解法（亞超聲速流的有限基本解方法），有限差分法和有限體積法均有介紹，對于應(yīng)用的網(wǎng)格生成技術(shù)（網(wǎng)格生成基本方法，網(wǎng)格分區(qū)與重疊網(wǎng)格技術(shù)，非結(jié)構(gòu)網(wǎng)格生成技術(shù)），非線性速勢方程解法，不可壓NS方程計(jì)算（壓力泊松方程方法，壓力修正方法（SIMPLE方法），虛擬壓縮性方法），可壓縮的Euler和NS方程計(jì)算（MacCormack顯式差分法，Beam-Warming因式分解格式，Jameson有限體積格式，TVD格式，NND格式，ENO及ENN格式，幾種常用的隱式（時(shí)間方向離散）算法（近似因式分解方法，對角化算法，LU-ADI算法，LU-SGS算法），湍流模型）以及稀薄氣體的蒙特卡羅的數(shù)值模擬都有專題，知識介紹結(jié)構(gòu)清晰，有助于了解計(jì)算流體力學(xué)的整體知識框架。
2. 蘇銘德，黃素逸，計(jì)算流體力學(xué)基礎(chǔ)，清華大學(xué)出版社，1997年。（*****重點(diǎn)推薦）
該書雖說取名為基礎(chǔ)，但如果能全部看明白，倒也很不容易。該書分為若干個(gè)專題：數(shù)值模擬專題，數(shù)值計(jì)算方法，流場的數(shù)值計(jì)算。
展開 REF_SHARP_EDGES= 3.0
%
% Remove sharp edges from the sensitivity evaluation (NO, YES)
SENS_REMOVE_SHARP= NO
（10）迭代參數(shù)
% ------------------------ LINEAR SOLVER DEFINITION ---------------------------%
%
% Linear solver for implicit formulations (BCGSTAB, FGMRES)
LINEAR_SOLVER= FGMRES
%
% Preconditioner of the Krylov linear solver (JACOBI, LINELET, LU_SGS)
LINEAR_SOLVER_PREC= ILU
%
% Linaer solver ILU preconditioner fill-in level (0 by default)
LINEAR_SOLVER_ILU_FILL_IN= 0
%
% Minimum error of the linear solver for implicit formulations
LINEAR_SOLVER_ERROR= 1E-10
%
% Max number of iterations of the linear solver for the implicit formulation
LINEAR_SOLVER_ITER= 5
（11）多重網(wǎng)格參數(shù)
% -------------------------- MULTIGRID PARAMETERS -----------------------------%
%
% Multi-Grid Levels (0 = no multi-grid
展開 REF_SHARP_EDGES= 3.0
%
% Remove sharp edges from the sensitivity evaluation (NO, YES)
SENS_REMOVE_SHARP= NO
（10）迭代參數(shù)
% ------------------------ LINEAR SOLVER DEFINITION ---------------------------%
%
% Linear solver for implicit formulations (BCGSTAB, FGMRES)
LINEAR_SOLVER= FGMRES
%
% Preconditioner of the Krylov linear solver (JACOBI, LINELET, LU_SGS)
LINEAR_SOLVER_PREC= ILU
%
% Linaer solver ILU preconditioner fill-in level (0 by default)
LINEAR_SOLVER_ILU_FILL_IN= 0
%
% Minimum error of the linear solver for implicit formulations
LINEAR_SOLVER_ERROR= 1E-10
%
% Max number of iterations of the linear solver for the implicit formulation
LINEAR_SOLVER_ITER= 5
（11）多重網(wǎng)格參數(shù)
% -------------------------- MULTIGRID PARAMETERS -----------------------------
展開 
LU-SGS的最新內(nèi)容
evaluation (NO, YES)SENS_REMOVE_SHARP= NO
（7）迭代參數(shù)
% Linear solver for implicit formulations (BCGSTAB, FGMRES)LINEAR_SOLVER= FGMRES%% Preconditioner of the Krylov linear solver (JACOBI, LINELET, LU_SGS
SOLVER DEFINITION ---------------------------%
%
% Linear solver for implicit formulations (BCGSTAB, FGMRES)
LINEAR_SOLVER= FGMRES
%
% Preconditioner of the Krylov linear solver (JACOBI, LINELET, LU_SGS
LINEAR SOLVER DEFINITION ---------------------------%
%
% Linear solver for implicit formulations (BCGSTAB, FGMRES)
LINEAR_SOLVER= FGMRES
%
% Preconditioner of the Krylov linear solver (JACOBI, LINELET, LU_SGS
網(wǎng)格分區(qū)與重疊網(wǎng)格技術(shù)，非結(jié)構(gòu)網(wǎng)格生成技術(shù)），非線性速勢方程解法，不可壓NS方程計(jì)算（壓力泊松方程方法，壓力修正方法（SIMPLE方法），虛擬壓縮性方法），可壓縮的Euler和NS方程計(jì)算（MacCormack顯式差分法，Beam-Warming因式分解格式，Jameson有限體積格式，TVD格式，NND格式，ENO及ENN格式，幾種常用的隱式（時(shí)間方向離散）算法（近似因式分解方法，對角化算法，LU-ADI算法，LU-SGS
