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    An adaptive moving mesh method with application tonon-stationary hypersonic flows in the atmosphereS V Utyuzhnikov1* and D V Rudenko21School of Mechanical Aerospace and Civil Engineering, University of Manchester, Manchester, UK2Department of Computational Mathematics, Moscow Institute of Physics & Technology, Dolgoprudny, Russia

    The manuscript was received on 21 July 2007 and was accepted after revision for publication on 8 November 2007.

    DOI: 10.1243/09544100JAERO261

    Abstract: A numerical algorithm based on a shock-capturing scheme on adaptive moving

    meshes is described. Three-dimensional dynamical adaptive meshes are generated as theresult of solving a variational problem. The governing equations are solved in a moving coordi-nate system therefore the method does not require any interpolation of the solution from onemesh onto another one. The developed algorithm can efficiently be used for the simulation ofnon-stationary supersonic flows in the atmosphere. As an example, it is applied to the study ofthe Tunguska meteorite hypersonic impact. For the first time this problem is modelled from theentrance moment up to the interaction with the Earth atmosphere in a three-dimensionalformulation. A reasonable correspondence with the data of the observations is obtained. Theimplementation of the developed numerical algorithm reduces the computational time bythe factor of four.

    Keywords: adaptive mesh, interpolation-free method, shock-capturing scheme, grid gener-

    ation, hypersonic impact, atmosphere, Tunguska meteorite

    1 INTRODUCTION

    Numerical simulation of flows with strong shock waves and other possible high gradients of thesolution requires the use of fine meshes for an appro-priate resolution. Simple algorithms based on uni-form meshes might be time-consuming because ofa high number of unknown grid variables. The situ-ation is aggravated for multi-dimensional problems.

    A standard way to an efficient resolution is relatedto the implementation of meshes adaptive to theareas of the high gradients (see e.g. [1]). Meanwhile,for non-stationary problems such algorithms becomemuch more complicated because, shock waves movein space and interact with each other. One possible

    way (see e.g. [26]) to overcome this problem isbased on a mesh reconstruction each time the

    solution substantially changes. The realization ofthis approach requires interpolation of the solutionfrom one mesh onto another mesh. This proceduremight introduce an additional error and be time-consuming. An alternative strategy is based oninterpolation-free methods (see e.g. [713]). Most ofthese works are related to one- and two-dimensionalproblems. In the current paper, a interpolation-freealgorithm [14, 15] based on the use of a moving coor-dinate system is developed for modelling the hyperso-nic non-stationary motion of bodies in the Earthatmosphere.

    The developed algorithm is applied to the study ofthe Tunguska meteorite impact. This event happenedin 1908 in Siberia, 100 years ago. Up to now it arisesa high interest from many researches (see e.g.[1625]). In particular, the nature of the Tunguskameteorite is the subject of intensive discussions[16, 18, 20, 22, 24]. The Tunguska impact causedvast destruction of the forest in the area of about108 m2 and was accompanied by explosion-like

    phenomena. The data of the observation were limitedby the fallen trees and description of some witnesses.

    *Corresponding author: School of Mechanical Aerospace and Civil

    Engineering, University of Manchester, George Begg Building,

    Sackville Street, PO Box 88, Manchester M60 1QD, UK. email:[email protected]

    SPECIAL ISSUE PAPER 661

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    Thus, mathematically the problem on the Tunguskameteorite study can be considered as a typical inverseproblem. Many papers have been related to theinvestigation of this problem including numericalsimulation of different scenarios of the impact. Inreference [17], the problem was approximatelysolved in local one-dimensional directions. Mean-

    while, there have not been yet any publicationsbased on a three-dimensional simulation of theentire process from the entrance and up to the inter-action with the Earth surface. In the current paper,the entire process is studied in a non-stationarythree-dimensional formulation and simulated in aunified computation. The computational results onthe interaction between the blow shock wave andthe Earth surface are compared against the obser-vation data on the fallen forest.

    2 GOVERNING EQUATIONS

    First, let the Euler equations for a compressible gas inthe Cartesian coordinate system fyi, tg, i 1, 2, 3 be

    written as follows

    Ut X3

    1

    Fiyi Q 1

    where U (r, ru1, ru2, ru3, E)T, Fi (rui, ru1ui

    pd1i, ru2ui pd2i, ru3ui pd3i, (E p)ui)

    T

    , Q

    (0,rg1, rg2, rg3, rg. u, 0)T, E r(e 0.5u. u), p p(r,

    e), dij is the Kronecker symbol.In equation (1), r is the density; u (u1, u2, u3)

    T isthe velocity; e is the specific internal energy, E is thetotal internal energy, p is the pressure, g (g1, g2,

    g3)T is the gravity vector.

    To introduce a local moving coordinate system, letthe set of equations (1) in an arbitrary non-singularcurvilinear coordinate system (t, j): j j(t, y), t tpreserving the rigorous conservative form be rewrit-ten as follows

    @

    @tU

    X3i1

    @

    @jiFi Q 2

    here

    U U

    J; Fi j

    itU

    X31

    jiyjFj; Q

    Q

    J

    jit jitJ

    ; jiyj jiyj

    J; J detkjiyjk i;j 1; 2; 3

    In numerical solution of equation (2) it is natural todemand that a uniform flow U const must be a

    partial solution of this set of equations for any non-singular coordinate system ifQ 0. This requirementresults in the following set of equations called thegeometric conservation laws [7]

    @@t

    1J

    X3

    1

    @@jj

    jjt 0;

    @

    @jjj

    j

    yi 0i 1; 2; 3 3

    Conditions (3) imply that the constant solution ofequation (2) is invariant with respect to the coordi-nate transformations. To satisfy these requirementsthe Jacobian of the transformation to the new coordi-nates is to be determined immediately from the con-servation laws (3) rather than by the formula Jdetkjyj

    i k [14].

    3 FINITE-DIFFERENCE APPROXIMATION

    To approximate the governing equations, the UNO-type (uniformly non-oscillatory) scheme [26, 27] isused. This scheme is of the second-order in bothspace and time variables. The approximation of set(2) is realized via the predictor-corrector algorithm.

    A rectangular uniform grid jijkl can be used in the

    new variable j

    jlijk ih1; j

    2ijk jh2; j

    3ijk jh3

    i 0; . . . ;N1; j 0; . . . ;N2; k 0; . . . ;N3

    where hl 1/Nl, l 1, 2, 3, and Nl is the number ofcomputational cells along an lth direction.

    The rectangular uniform grid jijkl maps onto a cur-

    vilinear grid: yijklyijk

    l (jijk1 , jijk

    2 , jijk3 , t), (l 1, 2, 3) in

    the physical domain.The finite-difference approximation of the set (2)

    on the uniform rectangular grid jijkl reads as follows

    VijkUn1

    i;j;k Un

    i;j;kt

    F1Sj1 i1=2;j;k F1Sj1 i1=2;j;k

    F2Sj2 i;j1=2;k F2Sj2 i;j1=2;k F

    3Sj3 i;j;k1=2

    F3Sj3 i;j;k1=2 Qi;j;k

    where Vi,j,k is the volume of a computational cell(i, j , k), (Sj1)i+1/2,j,k h2h3, (Sj2)i,j+1/2,k h1h3, and(Sj3)i,j,k+1/2 h1h2 are the areas of the correspondingfaces of the cell, and Dtis the time step. The functionU^ ijk

    n sought and the source terms Q^ ijk are calculatedat the centres of computational cells, and fluxes

    F^i+1/2,j,k1 , F

    ^i,j+1/2,k2 , F

    ^i,j,k+1/23 , at the centres of the

    corresponding faces.

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    Here, the indexes (i, j, k) are varied in the cyclic order,thereby the value of the index i fully determines thevalues of the other indexes.

    Thus, the construction of the mesh is reduced tothe minimization of the following aggregate costfunction

    I;

    Fdj1 dj2 dj3 Is loIo lwIw 8

    The minimum of the cost function Ican be found bythe Euler Lagrange method. As a result, one canarrive at the following set

    X31

    @

    @jj@F

    @yijj

    F

    @yi 0; i 1; 2; 3

    After some transforms, one can obtain the set ofequations in the curvilinear coordinates with regardto the metric coefficients

    X31

    Ajjrjjjj b 9

    where

    b FWrW X3

    j1 X3

    k1

    k=j

    Ajkrjjjk X3

    j1 X3

    k1

    A0jkWjjrjk

    X3j1

    X3k1

    X3m1

    X3n1

    Ajkmnrjjjm rjn rjk

    Ajk @F

    @gjk

    @F

    @gkj; A0jk

    @FW@gjk

    @FW@gkj

    Ajkmn @Ajk

    @gmn

    @Ajk

    @gnm; FW

    @F

    @W

    It is possible then to obtain the equations for the gridnodes velocities by the differentiation of the Euler

    Lagrange equations

    X3j1

    X3k1

    @

    @jjAjkrjk ry

    _F X3j1

    X3k1

    @

    @jj _Ajkrjk

    F Fs loFo lwFw

    The grid generation set (9) is solved in the cube[0, 1] [0, 1] [0, 1] with the following boundaryconditions. A fixed node distribution is used on oneof the boundaries. It is taken from the previous timelayer and corrected according to the condition

    of orthogonality between a boundary and the appro-priate coordinate lines. On the other boundaries the

    orthogonality condition results in the boundary con-ditions: rji2 ni(rji . ni) 0, where ni is the normal toan ith boundary. The grid is up-graded each timeafter the number of time steps depending on the pro-blem to be solved.

    The set of LagrangeEuler equations (9) is elliptic.Upon approximation one can obtain a set of algebraicequations

    Lhr bh 10

    where b(h) is the projection of the right-hand sidevector bin equation (9) onto the appropriate discretespace.

    To speed-up the solution of equation (10) comple-mented by the appropriate boundary conditions, apreconditioning Laplace-based operator B is intro-duced

    Brn1 Brn 1

    lmaxLhrn bh 11

    where

    Brn X3

    1

    up

    lpLppr

    n 12

    In equation (12), up are the parameters from theinterval (0, 1] introduced to make the spectra of the

    operators B and L/lmax match each other, Lpp is aone-dimensional difference Laplace operator withrespect to a coordinate jp, lp is the maximal eigen-value of Lpp, lmax is maximal eigenvalue of L evalu-ated by

    lmax maxi;j;k

    X1i01

    X1j01

    X1k01

    jaii0;jj0;kk0 j

    ( )

    and ai,j,kare the coefficients of the operator L(h) at the

    node i,j,k.The preconditioning operator B can easily be

    inverted via the fast Fourier transform along twodirections and the Gauss algorithm along the lastone. The convergence of the algorithm is sufficientlyhigh. Usually, it requires five to ten iterations to gen-erate a grid. The time required to reconstruct the gridis three to four times smaller than that required forthe solution of the main set.

    5 TUNGUSKA METEORITE IMPACT PROBLEM

    The developed approach is applied to the study of theTunguska meteorite hypersonic impact into the Earth

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    atmosphere. This consideration can also be related tothe general problem of cometary-asteroid hazard[24]. In this analysis the hypothesis of the meteoritenature of the Tunguska object is followed [24].

    Although a detailed discussion on this question isbeyond the scope of the current paper, it is to benoted that the meteorite hypothesis is earnestly sup-ported by the observation data [23]. Indeed, in spiteof vast efforts of many expeditions to the area of theimpact, there have not been found any solid debrisof the Tunguska object.

    The penetration of meteorites into a dense atmos-phere is accompanied by its progressive destructionbecause of the hypersonic velocity of the meteoriteand, hence, the vast pressure behind the blow shock.The aerodynamic loads leads to a sharply acceler-ated disintegration of the meteorite into smallerand smaller debris which retain approximately the

    same total volume [30]. Because the radius of eachpiece sharply reduces, the heat transfer suddenly inc-reases. Thus, this process is accompanied by a rapidablation mechanism. As a result, the whole body isconverted into vapour and the kinetic energy of themeteorite is released into the atmosphere. For thisprocess happens almost instantaneously (in com-parison to the time of the entire process), it is some-time called the explosion-in-flight [17].

    On the basis of the consideration given above, thefollowing model of the process [31] was used. Themeteorite suddenly becomes a gas object at some

    point of its trajectory. Nevertheless, at the initialtime moment, it retains its volume and velocity.The further evolution of this gas object in theatmosphere is modelled numerically. The trajectory

    point of the sudden conversation is evaluated fromGrigoryans solution [30]. It is to be noted that thissolution is quite close to the solution by Hills andGoda [32] obtained by another way [24]. The modeldescribed above was earlier used for the modellingof the ShoemakerLevy Comet impact with Jupiterin reference [33].

    Thus, one can arrive at the initial statement of the

    gas dynamic problem. At the initial time moment agas in some volume V has the following parameters:mgm0, rg r0, Vg V1, Pg r(h)V1

    2 where mg, rg,Vg, Pg are the mass, density, velocity, and static

    Fig. 1 Coordinate system

    Fig. 2 Adaptive meshes with 20 and 40 nodes in each direction, t 0.3 s

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    pressure, respectively; m0, r0, V1 are the mass, den-sity, and entrance velocity of the meteorite; r(h) isthe density of the atmosphere gas at the height ofthe explosion.

    At the current paper, the parameters of the Tun-guska meteorite are set the following: m0 216 t,r0 10

    3 kg/m3 (ice body), the characteristic size ofa body is L 60 m, V1 2 10

    4 m/s. It is supposed

    Fig. 3 Contour plots of pressure logarithm and density, computational grid. Section view in

    plane Y 0 m; t 1.7 s. (a) lg(P); (b) rkg/m3; (c) computational grid

    Fig. 4 Evolution of the bow shock wave

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    that the meteorite enters the atmosphere at the angleof Q 458. These data match average parametersaccepted for the Tunguska meteorite [24]. Underthe chosen parameters, the ratio between the internalenergy and the kinetic energy of the meteorite isequal to 4 1024. Grigorians semi-analytical sol-ution [30] is obtained for an exponential atmospherer(z) r0exp

    2z/H. If H 7 103 m, then it gives thefollowing evaluation of the explosion height h: h 2.1 104 m.

    The gas in the volume and in the atmosphere isconsidered as an inviscid gas with the state equationof the real air. The meteorite substance is marked by apassive mixture. The weighted-sum-of-gray-gasesmodel (see e.g. [34]), is used to take into accountthe radiation.

    The hypersonic of a gas cloud in the atmosphere isaccompanied by the formation of the main blow

    shock and a number of internal shocks and contactdiscontinuities [33]. The entire process is consideredstarting from the decay of the initial data and up tothe interaction of both the shock and gas cloud withthe Earth surface.

    6 RESULTS OF NUMERICAL SIMULATION

    In the numerical study of the problem, the compu-tational domain was first oriented along the direction

    of the body entrance. As soon as the shock wavereached the Earth surface, the computational areadeformed in such a way that the lower boundary ofthe physical computational domain was parallel tothe Earth surface.

    At the beginning, the coordinate system wasoriented in space in such a way that the axis Z wasparallel to the entrance direction and the gravityforce vector was in the plane XZ, as shown in Fig. 1.The initial computational domain was a cube withthe side of 300 m. The computational domainmoved along the axis Z expanding in the space insuch a way that the main perturbed flow (apart from

    the far tail) was captured. Thus, the lower side initiallymoved towards the Earth surface with the velocity 2 104 m/s, while the upper side had the velocity 1.8 104 m/s. The lateral sides expanded with the velocity1.2 103 m/s.

    In computations, the following function f inequation (5) is used

    f 0:5 logp

    p0

    log

    r

    r0

    where the values with 0 are the appropriate typical

    values in the computational domain. This choice ofthe function f is justified by the adaptation

    requirements in both the blow shock area with highpressure and density gradients and the tail area

    with the high gradients of the density.The computations were done on different adaptive

    and uniform meshes. The comparison between theresults showed that 40 nodes in each direction wereenough to be close to the solution obtained on a uni-form mesh of about 106 nodes and greater. The maineffects can even be captured on a adaptive meshhaving only 20 nodes in each direction. The shown

    Fig. 5 Contour plots of pressure logarithm and cosmic

    body substance density. Section view in planeY 0 m; t 8.5 s. (a) lg(P); (b) ra kg/m

    3

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    further results were obtained on the adaptive gridhaving 40 nodes in each direction. The compu-tational time was about 3.4 times less against theappropriate result on a uniform mesh. The gridreconstruction was done an each odd time step. Itincreased the computational time by 20 per centagainst the case without adaptation.

    The general description of the entire process is thefollowing. By 0.12 s, the meteorite substance forms a

    bowl-like layer with the typical size of 200 m. Thelayer is convectively unstable, and, therefore, thisleads to the depression of the layer along the direc-tion of the maximal pressure. The meteorite matterforms a torus-like shape. It is worth noting thatthis phenomenon was earlier observed for theShoemakerLevy comet problem [33]. Further, the

    penetration channel of 30 m is filled by a low-densitygas and the meteorite matter is fragmented. To

    Fig. 6 Long-term evolution of the bow shock wave

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    resolve this effect, the typical mesh size must be lessthan the typical size of the channel. Therefore, itrequires either a very fine uniform mesh or an adaptivemesh. It is to be noted that even the 20-node mesh wasenough to capture this effect in the case of an adaptivemesh. Meanwhile, the 40-node mesh without adap-tation does not allow the resolution of the effect of themeteorite disintegration and provides very differentqualitative results.

    By 0.3 s, the bow shock wave reaches the heightof 1.6 104 m, the wave front velocity equals1.9 104 m/s and the characteristic size of thedomain is 600 m. By that time the main meteoritecloud is fragmented into several parts and theflow loses the axial symmetry. Adaptive compu-tational meshes with 20 and 40 nodes in eachdirection are shown in Fig. 2. The degree of thegrid adaptivity can be represented by the para-

    meter ka Vun/Vmin. Here, Vun is the cell volume without adaptivity and Vmin is the minimal cellvolume. For the grid shown in Fig. 2 the valuesof these parameters are 6.3 and 6.2, respectively.

    At 1.8 s (Fig. 3) the shock wave, having the maximalpressure Pmax 6.6 10

    5 Pa and the velocity 3.5 103 m/s, reaches the level of about 7 103 m. Rare-fied hot gas flow behind the front of the shock wavehas the following parameters: the gas velocity is 7 10329 103 m/s, density is 0.30.4 kg/m3, tempera-ture is 7000 8000 K.

    After 2 s the bottom of the physical computational

    domain starts its turn to be parallel to the Earth sur-face, and it is reached by 3 s. At this time, the shock

    wave propagation velocity is equaled to 103 m/s,while Pmax 8.7 10

    5 Pa. The evolution of the bowshock wave in both space and time is shown in Fig. 4.

    It is also interesting to analyse the long-termdynamics of the shock wave and the tail. By thetime moment of 8.5 s, the shock wave reaches thelevel of 2.7 103 m, as shown in Fig. 5. It becomes

    weak and propagates with the velocity 800 m/s. Theexcessive pressure behind the shock is 0.3 atm. By9 s, some hot gas in the tail stops and starts to riseup in the atmosphere due to the buoyancy force.The rising flow mainly propagates in the hot tailarea. It is important to note that this flow entrapsthe meteorite substance and prevents it from reach-ing the Earth. The long-term evolution of the bowshock wave is shown in Fig. 6. By 38 s, the maximalconcentration of the meteorite matter is observedon the level of 1.5 104 m, in the Earth stratosphere.

    At the height of 5 103 m, the meteorite matterdensity is less than 4 1023 kg/m3. Meanwhile,meteorite substance below 3 103 m is not observed.Thus, the meteorite matter does not reach the Earthsurface, though the shock wave generated by the

    meteorite significantly affects the Earth surface.This result may explain the failure of all expeditions

    to find any Tunguska meteorite substance in thearea of the impact.

    By 12 s, the bow shock reaches the Earth surface.Then, the shock wave with Pmax 1.1 10

    5 Paspreads over the Earth surface with the velocity ofabout 6 102 m/s along the entrance direction andthe velocity of 103 m/s along the opposite direction.

    Then, by 38 s, the maximal velocity drastically dropsto 28 m/s.To consider the interaction of the shock wave

    with the surface covered by a forest (as happenedwith the Tunguska meteorite), one should take into

    Fig. 7 Distribution of the dynamical pressure on the

    Earth surface, t 38 s

    Fig. 8 Distribution of the dynamical pressure greaterthan 0.1 atm at different time moments

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    account the dynamic pressure in the flow behindthe shock. It is the main characteristics determiningthe forest flattening. According to reference [21] thevalue of the dynamical pressure 8 102 Pa corre-sponds to the fall of about 5 per cent of all the trees.Then, one obtains that the forest can strongly bedamaged in the region with the characteristic sizeof about 2 104 m, as shown in Fig. 7. The areasof the exceed dynamic pressure greater than0.1 atm are represented in Fig. 8. It is to be notedthat this result is in a good correspondence withthe observation data for the Tunguska meteorite[16, 21, 24].

    Thus, the developed numerical algorithm allowsthe simulation of the entire process of the meteoriteimpact in a unified manner.

    7 CONCLUSION

    A numerical method to construct three-dimensionaladaptive moving meshes has been developed. It hasbeen implemented for solving the non-stationarythree-dimensional Euler equations for compressibleflows with strong moving shock waves. The approachdoes not require any interpolation of the solutionfrom one mesh onto another one. The method canbe extended to the NavierStokes equations withoutany substantial modification.

    The developed approach has been applied to thestudy of the hypersonic Tunguska meteorite impact.The penetration of the meteorite into the atmospherehas been modelled from the entrance and up to theinteraction with the Earth surface using a unifiedalgorithm. The long-term evolution of the bowshock wave and the gas in the wake has also beenstudied. It has been shown that the meteorite sub-stance cannot reach the Earth atmosphere. Theresults of the fallen tree area are in a reasonablygood agreement with the observation data.

    REFERENCES

    1 Thompson, J. F., Warsi, Z. U. A., and Mastin, C. W.Numerical grid generation: foundation and applications,1985 (Elsevier Science Publishing, North Holland).

    2 Brackbill, J. U. An adaptive grid with directional con-trol. J. Comput. Phys., 1993, 108, 3850.

    3 Azarenok, B. N. and Ivanenko, S. A. Application ofadaptive grids in numerical analysis of time-dependentproblems in gas dynamics. J. Comput. Math. Math.Phys., 2000, 40, 13301349.

    4 Azarenok, B. N., Ivanenko, S. A., and Tang, T. Adaptive

    mesh distribution method based on Godunovs scheme.Commun. Math. Sci., 2003, 1, 152 179.

    5 Ren, W. and Wang, X. P. An iterative grid redistributionmethod for singular problems in multiple dimensions.

    J. Comput. Phys., 2000, 159, 246 273.6 Tang, H.-Z. and Tang, T. Adaptive mesh methods for

    one- and two-dimensional hyperbolic conservationlaws. SIAM J. Numer. Anal., 2003, 41, 487 515.

    7 Anderson, D. A. Adaptive mesh schemes based on gridspeeds. AIAA paper, 1983, pp. 311318.

    8 Budd, C. J., Huang, W., and Russel, R. D. Moving meshmethods for problems with blow-up. SIAM J. Sci.Comput., 1996, 17, 305 327.

    9 Li,S. and Petzold, L. Moving mesh method with unwind-ing schemes for time-dependent PDEs.J. Comput. Phys.,1997, 131, 368377.

    10 Huang, W. and Russell, R. D. Analysis of moving meshpartial differential equations with spatial smoothing.SIAM J. Sci. Comput., 1999, 20, 9981015.

    11 Huang, W. Practical aspects of formulation and solutionof moving mesh partial differential equations.J. Comput.Phys., 2001, 171, 753775.

    12 Tang, T., Xue, W. M., and Zhang, P. W. Analysis ofmoving mesh methods on geometrical variables. J.Comput. Math., 2001, 19, 4154.

    13 Beckett,G., Mackenzie, J.A., Ramage, A., andSloan, D.M.Computational solution of two-dimensional unsteadyPDEs using moving mesh methods. J. Comput. Phys.,2002, 167, 478495.

    14 Ganzha, D. Kh., Muzafarov, I. F., and Utyuzhnikov,S. V. The use of moving adaptive grids in algorithms

    with compact approximations. J. Comput. Math. Math.Phys., 1995, 35(8), 949957.

    15 Rudenko, D. V. and Utyuzhnikov, S. V. Use of dynami-cally adaptive grids for modeling three-dimensional

    unsteady gas flows with high gradients. J. Comput.Math. Math. Phys., 2002, 42(3), 377390.

    16 Ben-Menahem, A. Source parameters of the Siberianexplosion of June 30, 1908, from analysis and synthesisof seismic signals at four stations. Phys. Earth Planet.Inter., 1975, 11, 135.

    17 Korobeinikov, V. P., Gusev, S. B., Chushkin, P. I., andShurshalov, L. V. Flight and fracture of the Tunguskacosmic body into the Earths atmosphere. Comput.Fluids, 1992, 21, 323 330.

    18 Ivanov, A. G. and Ryzhanskii, V. A. Possible nature ofthe explosion of the Tunguska meteorite and thebreakup of the comet ShoemakerLevy. J. Combust.Explo. Shock Waves, 1995, 31(6), 715721.

    19 Svetsov, V. V., Nemchinov, I. V., and Teterev, A. V. Dis-integration of large meteoroids in Earths atmosphere:theoretical models. Icarus, 1995, 116, 131 153.

    20 Svetsov, V. V. Where have the debris of the Tunguskameteoroid gone?. Sol. Syst. Res., 1996, 30(5), 378390.

    21 Korobeinikov, V. P., Shurshalov, L. V., Vlasov, V. I.,and Semenov, I. V. Complex modelling of the Tunguskacatastrophe. Planet. Space Sci., 1998, 46(2/3), 231244.

    22 Sekanina, Z. Evidence for asteroidal origin of the Tun-guska object. Planet. Space Sci., 1998, 46(2/3), 191 204.

    23 Bronshten, V. A. The nature of the Tunguska meteorite.Meteorit. Planet. Sci., 1999, 34, 723 728.

    24 Bronshten, V. A. Nature and destruction of the Tunguskacosmical body. Planet. Space Sci., 2000, 48, 855 870.

    670 S V Utyuzhnikov and D V Rudenko

    Proc. IMechE Vol. 222 Part G: J. Aerospace Engineering JAERO261 # IMechE 2008

  • 8/3/2019 S V Utyuzhnikov and D V Rudenko- An adaptive moving mesh method with application to non-stationary hypersoni

    11/11

    25 Tirskiy, G. A. and Khanukaeva, D. Yu. The modeling ofbolide thermal explosions. Earth Moon Planets, 2004,95, 513 520.

    26 van Leer, B. On the relation between the upwind-differencing schemes of Godunov, EngquistOsherand Roe. SIAM J. Sci. Stat. Comput., 1984, 5(1), 1

    20.27 Rodionov, A. V. A second order monotone scheme to

    calculate nonequilibrium flows by shock-capturingtechnique. J. Comput. Math. Math. Phys., 1987, 27,585593.

    28 Kolgan, V. P. Application of the minimum-derivativeprinciple in the construction of finite-differenceschemes for numerical analysis of discontinuous sol-utions in gas dynamics (in Russian). Uch. Zap. TsaGI,1972, 3(6), 68 77.

    29 Brackbill, J. U. and Saltzman, J. S. Adaptive zoning forsingular problems in two dimensions. J. Comput. Phys.,1982, 46, 342 368.

    30 Grigoryan, S. S. On motion and destruction of meteorsin planetary atmospheres. Cosmic Res., 1979, 17(2),724740.

    31 Utyuzhnikov, S. V., Konyukhov, A. V., Kondaurov,V. I., and Mesheryakov, M. V. Gas dynamical model ofinteraction between a meteorite and the Earth atmos-

    phere. In the 2nd IAA International Conference on Low-cost Planetary Missions, 1996, pp. IAA-L-1 IAA-L-6.

    32 Hills, J. G. and Goda, M. P. The fragmentation of smallasteroids in the atmosphere. Astron. J., 1993, 105(3),11141144.

    33 Klumov, B. A., Kondaurov, V. I., Konyukhov, A. V.,Medvedev, Yu. D., Sokolskii, A. G., Utyuzhnikov, S. V.,and Fortov, V. E. Collision of comet ShoemakerLevy 9

    with Jupiter: what shall we see? J. Phys. Usp., 1994,164(6), 577589.

    34 Utyuzhnikov, S. V. Numerical modelling combustion offuel-droplet-vapor releases in atmosphere. Int. J. Flow,Turbul. Combust., 2002, 68(2), 137152.

    Adaptive moving mesh method 671

    JAERO261 # IMechE 2008 Proc. IMechE Vol. 222 Part G: J. Aerospace Engineering