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Abaqus Technology Brief
                                                                                                                 TB-11-SD-1
                                                                                                           Revised: May 2011


Water Landing of Space Flight Re-entry Vehicles Using Abaqus/Explicit


Summary
Space flight re-entry vehicles impart highly dynamic
loads on the crew and/or payload during a water land-
ing. To understand the behavior of the vehicle/payload
system as it makes impact, a predictive framework that
can simultaneously model the structure, the highly de-
formable landing medium (water or soil), and their in-
teraction is required. The coupled Eulerian-Lagrangian
(CEL) method in Abaqus/Explicit provides the means
for capturing these complex physical phenomena. In                    Figure 1: Prototype Apollo Command Module
this Technology Brief, the simulation of a re-entry vehi-
cle water landing will be demonstrated, and strong
agreement with test results will be shown.
                                                                   Key Abaqus Features and Benefits
Background                                                          Coupled Eulerian-Lagrangian method to simulate
Understanding the landing characteristics of a manned                fluid-structure interaction in a single model
space flight re-entry vehicle is critical to ensuring the
safety of the crew. Historically, vehicles have been sub-           Abaqus/Explicit general contact capability greatly
jected to both water (Apollo missions in 1960s) and                  simplifies the specification of contact interactions
ground (Russian Soyuz capsule) landing, where the vehi-
cle speed is reduced by parachute deployment prior to               Output filtering to reduce noise from explicit
impact. Re-entry vehicles have also been used to return              dynamics simulation
research materials from space. The landing medium in
these cases is typically soil. In all cases the structure
must be appropriately designed to limit the loads im-           entry vehicle is specified in a local coordinate system at-
parted to the crew and the payload.                             tached to the vehicle axes at the center of gravity.
The behavior of a re-entry vehicle in an impact landing         Geometry and Model
scenario is dependent upon:
                                                                Table 1 lists the geometric and inertial parameters for the
    1. the orientation (pitch and roll angles) of the vehicle   full scale Apollo Command Module. While the experi-
       immediately prior to landing,                            ments were conducted at ¼ scale using appropriate
                                                                Froude number scaling, the Abaqus/Explicit CEL models
    2. the vertical and horizontal velocities before im-
                                                                are built full-scale. The geometric models and the finite
       pact,
                                                                element mesh for the simulation are generated in Abaqus/
    3. the mass of the vehicle, and                             CAE. The initial configuration is shown in Figure 2. The

    4. the properties of the landing medium.
                                                                       Parameters                    Full Scale Model
Numerical simulation using CEL technology in Abaqus/                       Mass                         267.3 slugs
Explicit is an efficient method for studying the factors
                                                                          Ixx (Roll)                    4100 slug ft2
mentioned above. In this Technology Brief, we deploy the
CEL method to model the impact characteristics of a pro-                 Iyy (Pitch)                    3890 slug ft2
totype Apollo Command Module [1].                                         Izz (Yaw)                     3080 slug ft2
                                                                      Max Diameter                        151.5 in
Modeling Approach
                                                                           Height                          86.2 in
The schematic of the Apollo Command Module is shown
in Figure 1. The center of gravity and vehicle axes are
identified in the figure. The moment of inertia of the re-       Table 1: Apollo Command Module full scale inertial and
                                                                                  geometric properties
2

re-entry vehicle is modeled as a rigid body. The Eulerian         frequency is dependent on the experimental methodology
mesh of the landing medium is defined so that the effects         used to collect data but in absence of such information, a
of the boundaries are minimized.                                  simplistic approach is adopted.
The simulation involves Eulerian-to-Lagrangian contact            Results and Discussion
between the fluid (modeled in an Eulerian framework) and
the re-entry vehicle (modeled in a Lagrangian framework).         Five simulations were performed to study the splashdown
Such complex contact interactions are easily modeled in           behavior under different initial configurations of the re-
Abaqus/Explicit using a penalty-based general contact             entry vehicle. These configurations are characterized by
approach.                                                         different pitch angles, thus placing the vehicle in a variety
                                                                  of tilted positions at impact. Four simulations were per-
Material Properties                                               formed with zero initial horizontal velocity, and the fifth
                                                                  simulation was performed with both horizontal and vertical
Water has typically been chosen as the landing medium             velocity components. For the fifth case, the size of the
for manned space flights. The constitutive behavior is that       Eulerian domain is extended by 60 % in order to allow for
of an incompressible viscous fluid; in Abaqus/Explicit the        the re-entry vehicle to splash and skid over water before
linear US-UP Hugoniot form of the Mie-Grüneisen equation          stabilizing. The initial configurations were chosen from a
of state is used.                                                 wide set of experimental conditions reported in [1]. For
                                                                  each case, normal, longitudinal and angular (Figure 1)
                                                                  accelerations are compared with the reported experimen-
                                                                  tal values. Table 2 lists the test and simulation results for
                                                                  various cases.
                                                                  As can be seen from the comparison, Abaqus/Explicit
          Void                                                    captures the peak accelerations seen during the splash-
                                                                  down event. Figure 3 depicts time histories of the accel-
                                                                  eration components for different configurations.
                                                                  Figure 4 shows iso-surface plots of the volume fraction of
         Water                                                    water during splashdown for the impact case with hori-
                                                                  zontal velocity (case # 5).
                                                                  A plot of peak accelerations versus vehicle pitch angle is
                                                                  shown in Figure 5. This type of information can help engi-
                                                                  neers design the optimal orientation of the vehicle for
                 Figure 2: Initial configuration                  splashdown.

To improve the performance of the simulation, the bulk            Conclusions
modulus of the water is chosen to induce an appropriate           The current work demonstrates a methodology for simu-
amount of numerical compressibility. The re-entry vehicle         lating the splashdown event of re-entry vehicles in water.
is also modeled as a rigid body.                                  The strength of the CEL method in this application lies in

Loading, Initial & Boundary Conditions and                                     Case                   1       2      3      4      5
Simulation Steps
                                                                    Vertical Velocity (ft/sec)       31.8    31.2   30.4   29.8   30.4
Gravity loading is applied to the entire model, and the re-
entry vehicle is given an initial velocity. In order to confine    Horizontal Velocity (ft/sec)       0       0      0      0      49
the water within the Eulerian domain boundaries, a zero                     Pitch (Deg)               14     25     30     39      20
normal-velocity boundary condition is specified on the
bottom and side surfaces of the Eulerian domain. An ini-                         Normal (g)          31.1    12.4   7.2    4.1    16.6
tial condition on the Eulerian volume fraction is specified         Test      Longitudinal (g)        6.3    4.9    2.9    1.9     5.7
to initialize the Eulerian domain with unperturbed water at
                                                                                                 2
t = 0.                                                                       Angular (rad/sec )      155     72     54     29     121

To compare with experimental measurements, accelera-                             Normal (g)           31     12.7   7.5    4.4    16.6
tion time history output is obtained in the coordinate sys-        Simu-
                                                                              Longitudinal (g)        6.9    4.2    2.3    1.7     7.5
tem attached to the vehicle axes. Output is obtained at            lation
every increment and passed through a Butterworth filter.                     Angular (rad/sec2)      152.8   87.1   52.5   34.9   123.8
The cut off frequency of the filter is lowered successively
to reveal the low frequency components characterizing               Table 2: Comparison of computed and experimental
the structural response. Typically, the choice of cut off          maximum accelerations measured at the capsule center
                                                                              of gravity (along vehicle axes)
3

                                                           its ability to simulate the rigid body dynamics of a re-entry
                                                           vehicle and its interaction with the fluid medium, all within
                                                           the framework of a single finite element model. The simu-
                                                           lation provides the means to investigate the peak accel-
                                                           erations faced by the crew or the payload during water
                                                           landing. This information can also be used to study re-
                                                           entry procedures, including such effects as vehicle orien-
                                                           tation prior to landing. While water is chosen as the land-
                                                           ing medium in the current work, the simulation can be
                                                           easily extended to study landing characteristics on sand
                                                           or clay. Also, the simulation can be extended to study the
                                                           deformation of the vehicle during impact.




Figure 3: Longitudinal, normal and angular accelerations   Figure 4: Iso-surface plots of the volume fraction of water
     of the re-entry vehicle for Cases 1, 2, 3, 4, & 5     during splashdown for Case 5 at time t = 0.2, 0.5 & 0.9 s
4




                               Figure 5: Peak longitudinal, normal and angular accelerations versus vehicle pitch

References
      1. Stubbs, S. M., “Dynamic Model Investigation of Water Pressures and Accelerations Encountered During Land-
         ings of the Apollo Spacecraft,” Langley Research Center, NASA, TN D-3980, 1967.



Abaqus References
For additional information on the capabilities reported in this technology brief, please refer to the following Abaqus 6.11
documentation references:

    ‘Eulerian Analysis,’ Section 14.1
    ‘Defining general contact interactions in Abaqus/Explicit,’ Section 34.4.1
    ‘Output to the output database,’ Section 4.1.3




About SIMULIA
SIMULIA is the Dassault Systèmes brand that delivers a scalable portfolio of Realistic Simulation solutions including the Abaqus prod-
uct suite for Unified Finite Element Analysis, multiphysics solutions for insight into challenging engineering problems, and lifecycle
management solutions for managing simulation data, processes, and intellectual property. By building on established technology, re-
spected quality, and superior customer service, SIMULIA makes realistic simulation an integral business practice that improves prod-
uct performance, reduces physical prototypes, and drives innovation. Headquartered in Providence, RI, USA, with R&D centers in
Providence and in Suresnes, France, SIMULIA provides sales, services, and support through a global network of over 30 regional
offices and distributors. For more information, visit www.simulia.com

The 3DS logo, SIMULIA, Abaqus and the Abaqus logo are trademarks or registered trademarks of Dassault Systèmes or its subsidiaries, which include Abaqus, Inc. Other company, product and service
names may be trademarks or service marks of others.
Copyright Dassault Systèmes, 2011

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Water Landing of Space Flight Re-entry Vehicles Using Abaqus/Explicit

  • 1. Abaqus Technology Brief TB-11-SD-1 Revised: May 2011 Water Landing of Space Flight Re-entry Vehicles Using Abaqus/Explicit Summary Space flight re-entry vehicles impart highly dynamic loads on the crew and/or payload during a water land- ing. To understand the behavior of the vehicle/payload system as it makes impact, a predictive framework that can simultaneously model the structure, the highly de- formable landing medium (water or soil), and their in- teraction is required. The coupled Eulerian-Lagrangian (CEL) method in Abaqus/Explicit provides the means for capturing these complex physical phenomena. In Figure 1: Prototype Apollo Command Module this Technology Brief, the simulation of a re-entry vehi- cle water landing will be demonstrated, and strong agreement with test results will be shown. Key Abaqus Features and Benefits Background  Coupled Eulerian-Lagrangian method to simulate Understanding the landing characteristics of a manned fluid-structure interaction in a single model space flight re-entry vehicle is critical to ensuring the safety of the crew. Historically, vehicles have been sub-  Abaqus/Explicit general contact capability greatly jected to both water (Apollo missions in 1960s) and simplifies the specification of contact interactions ground (Russian Soyuz capsule) landing, where the vehi- cle speed is reduced by parachute deployment prior to  Output filtering to reduce noise from explicit impact. Re-entry vehicles have also been used to return dynamics simulation research materials from space. The landing medium in these cases is typically soil. In all cases the structure must be appropriately designed to limit the loads im- entry vehicle is specified in a local coordinate system at- parted to the crew and the payload. tached to the vehicle axes at the center of gravity. The behavior of a re-entry vehicle in an impact landing Geometry and Model scenario is dependent upon: Table 1 lists the geometric and inertial parameters for the 1. the orientation (pitch and roll angles) of the vehicle full scale Apollo Command Module. While the experi- immediately prior to landing, ments were conducted at ¼ scale using appropriate Froude number scaling, the Abaqus/Explicit CEL models 2. the vertical and horizontal velocities before im- are built full-scale. The geometric models and the finite pact, element mesh for the simulation are generated in Abaqus/ 3. the mass of the vehicle, and CAE. The initial configuration is shown in Figure 2. The 4. the properties of the landing medium. Parameters Full Scale Model Numerical simulation using CEL technology in Abaqus/ Mass 267.3 slugs Explicit is an efficient method for studying the factors Ixx (Roll) 4100 slug ft2 mentioned above. In this Technology Brief, we deploy the CEL method to model the impact characteristics of a pro- Iyy (Pitch) 3890 slug ft2 totype Apollo Command Module [1]. Izz (Yaw) 3080 slug ft2 Max Diameter 151.5 in Modeling Approach Height 86.2 in The schematic of the Apollo Command Module is shown in Figure 1. The center of gravity and vehicle axes are identified in the figure. The moment of inertia of the re- Table 1: Apollo Command Module full scale inertial and geometric properties
  • 2. 2 re-entry vehicle is modeled as a rigid body. The Eulerian frequency is dependent on the experimental methodology mesh of the landing medium is defined so that the effects used to collect data but in absence of such information, a of the boundaries are minimized. simplistic approach is adopted. The simulation involves Eulerian-to-Lagrangian contact Results and Discussion between the fluid (modeled in an Eulerian framework) and the re-entry vehicle (modeled in a Lagrangian framework). Five simulations were performed to study the splashdown Such complex contact interactions are easily modeled in behavior under different initial configurations of the re- Abaqus/Explicit using a penalty-based general contact entry vehicle. These configurations are characterized by approach. different pitch angles, thus placing the vehicle in a variety of tilted positions at impact. Four simulations were per- Material Properties formed with zero initial horizontal velocity, and the fifth simulation was performed with both horizontal and vertical Water has typically been chosen as the landing medium velocity components. For the fifth case, the size of the for manned space flights. The constitutive behavior is that Eulerian domain is extended by 60 % in order to allow for of an incompressible viscous fluid; in Abaqus/Explicit the the re-entry vehicle to splash and skid over water before linear US-UP Hugoniot form of the Mie-Grüneisen equation stabilizing. The initial configurations were chosen from a of state is used. wide set of experimental conditions reported in [1]. For each case, normal, longitudinal and angular (Figure 1) accelerations are compared with the reported experimen- tal values. Table 2 lists the test and simulation results for various cases. As can be seen from the comparison, Abaqus/Explicit Void captures the peak accelerations seen during the splash- down event. Figure 3 depicts time histories of the accel- eration components for different configurations. Figure 4 shows iso-surface plots of the volume fraction of Water water during splashdown for the impact case with hori- zontal velocity (case # 5). A plot of peak accelerations versus vehicle pitch angle is shown in Figure 5. This type of information can help engi- neers design the optimal orientation of the vehicle for Figure 2: Initial configuration splashdown. To improve the performance of the simulation, the bulk Conclusions modulus of the water is chosen to induce an appropriate The current work demonstrates a methodology for simu- amount of numerical compressibility. The re-entry vehicle lating the splashdown event of re-entry vehicles in water. is also modeled as a rigid body. The strength of the CEL method in this application lies in Loading, Initial & Boundary Conditions and Case 1 2 3 4 5 Simulation Steps Vertical Velocity (ft/sec) 31.8 31.2 30.4 29.8 30.4 Gravity loading is applied to the entire model, and the re- entry vehicle is given an initial velocity. In order to confine Horizontal Velocity (ft/sec) 0 0 0 0 49 the water within the Eulerian domain boundaries, a zero Pitch (Deg) 14 25 30 39 20 normal-velocity boundary condition is specified on the bottom and side surfaces of the Eulerian domain. An ini- Normal (g) 31.1 12.4 7.2 4.1 16.6 tial condition on the Eulerian volume fraction is specified Test Longitudinal (g) 6.3 4.9 2.9 1.9 5.7 to initialize the Eulerian domain with unperturbed water at 2 t = 0. Angular (rad/sec ) 155 72 54 29 121 To compare with experimental measurements, accelera- Normal (g) 31 12.7 7.5 4.4 16.6 tion time history output is obtained in the coordinate sys- Simu- Longitudinal (g) 6.9 4.2 2.3 1.7 7.5 tem attached to the vehicle axes. Output is obtained at lation every increment and passed through a Butterworth filter. Angular (rad/sec2) 152.8 87.1 52.5 34.9 123.8 The cut off frequency of the filter is lowered successively to reveal the low frequency components characterizing Table 2: Comparison of computed and experimental the structural response. Typically, the choice of cut off maximum accelerations measured at the capsule center of gravity (along vehicle axes)
  • 3. 3 its ability to simulate the rigid body dynamics of a re-entry vehicle and its interaction with the fluid medium, all within the framework of a single finite element model. The simu- lation provides the means to investigate the peak accel- erations faced by the crew or the payload during water landing. This information can also be used to study re- entry procedures, including such effects as vehicle orien- tation prior to landing. While water is chosen as the land- ing medium in the current work, the simulation can be easily extended to study landing characteristics on sand or clay. Also, the simulation can be extended to study the deformation of the vehicle during impact. Figure 3: Longitudinal, normal and angular accelerations Figure 4: Iso-surface plots of the volume fraction of water of the re-entry vehicle for Cases 1, 2, 3, 4, & 5 during splashdown for Case 5 at time t = 0.2, 0.5 & 0.9 s
  • 4. 4 Figure 5: Peak longitudinal, normal and angular accelerations versus vehicle pitch References 1. Stubbs, S. M., “Dynamic Model Investigation of Water Pressures and Accelerations Encountered During Land- ings of the Apollo Spacecraft,” Langley Research Center, NASA, TN D-3980, 1967. Abaqus References For additional information on the capabilities reported in this technology brief, please refer to the following Abaqus 6.11 documentation references:  ‘Eulerian Analysis,’ Section 14.1  ‘Defining general contact interactions in Abaqus/Explicit,’ Section 34.4.1  ‘Output to the output database,’ Section 4.1.3 About SIMULIA SIMULIA is the Dassault Systèmes brand that delivers a scalable portfolio of Realistic Simulation solutions including the Abaqus prod- uct suite for Unified Finite Element Analysis, multiphysics solutions for insight into challenging engineering problems, and lifecycle management solutions for managing simulation data, processes, and intellectual property. By building on established technology, re- spected quality, and superior customer service, SIMULIA makes realistic simulation an integral business practice that improves prod- uct performance, reduces physical prototypes, and drives innovation. Headquartered in Providence, RI, USA, with R&D centers in Providence and in Suresnes, France, SIMULIA provides sales, services, and support through a global network of over 30 regional offices and distributors. For more information, visit www.simulia.com The 3DS logo, SIMULIA, Abaqus and the Abaqus logo are trademarks or registered trademarks of Dassault Systèmes or its subsidiaries, which include Abaqus, Inc. Other company, product and service names may be trademarks or service marks of others. Copyright Dassault Systèmes, 2011