Integrated 3-D simulation of solid propellant rockets

Dick, William A.; Heath, Michael T.; Fiedler, Robert

doi:10.2514/6.2001-3949

Cited by 12 publications

(7 citation statements)

References 4 publications

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“…SRM physical phenomena are complex. Therefore, detailed numerical simulation developments have proceeded [46,63,[70][71][72] and become another significant trend in SRM technical development. In order to integrate simulations of different disciplines associated with SRM, the computer science developments have been pursued that enables simultaneous treatment of necessary phenomena and their individual spatio-temporal characteristic scales.…”

Section: Reliability and Simulationmentioning

confidence: 99%

Solid propulsion for space applications: An updated roadmap

Guery¹,

Chang

Shimada

et al. 2010

Acta Astronautica

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Section: Reliability and Simulationmentioning

confidence: 99%

Solid propulsion for space applications: An updated roadmap

Guery¹,

Chang

Shimada

et al. 2010

Acta Astronautica

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“…Such computational capabilities are currently under development by a number of dedicated scientists, including Dick, Heath, Balachandar, Moser, Fiedler, Najjar and others at the Center for Simulation of Advanced Rockets. [50][51][52][53] There is no doubt that the efforts expended by this body of scientists stand to provide the best diagnostic and predictive tools in the history of rocket development. However, their efforts are not without challenges either.…”

Section: -2-american Institute Of Aeronautics and Astronauticsmentioning

confidence: 99%

“…However, "regression of the propellant due to burning [is] neglected because of the short physical time reached in the simulation, 0.1 sec after 10 days of wall clock time." Based on their experience with the integrated code, Dick, Heath, and Fiedler 50 remark that "a high fidelity simulation of the RSRM [Reusable Solid Rocket Motor] over the entire two minute burn time would require a prohibitive amount of execution time, even on the largest and fastest platforms available now or in the near future." Rather than allow these challenges to deter their activities, one must acknowledge that the CSAR scientists have chosen the course of continual improvement in their quest for a systemic code.…”

Section: -2-american Institute Of Aeronautics and Astronauticsmentioning

confidence: 99%

Some Recent Developments in Rocket Core Dynamics

Majdalani

Flandro

2003

39th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit

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Here we describe some recent developments in analytical models that have been formulated in support of numerical and experimental studies of core gas dynamics appropriate of idealized rocket chambers. These analytical pursuits have invariably helped in providing additional physical insight while unraveling concrete parametric relations, explicit solutions, and group parameters of fundamental importance. In several practical applications, they have been invaluable in providing limiting process benchmarks needed to verify and, thereby, validate the reliability of numerical simulations. In many instances, they have enabled the specification of key similarity parameters that have been used to guide both experimental and numerical simulations. When equipped with perturbation tools, asymptotic methods have proven particularly useful in unveiling the essential features of acoustic instability mechanisms in rocket motors and other large combustors.

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“…The computational simulation of solid rocket motors presents many challenges [34]. The structural analysis code built around the multigrid algorithm discussed in this paper has been used as a component code in the coupled analyses of solid rocket motors (see Reference [35] for a discussion of the algorithms employed).…”

Section: Grain Deformation In the Titan IV Solid Rocket Motormentioning

confidence: 99%

A distributed memory parallel implementation of the multigrid method for solving three‐dimensional implicit solid mechanics problems

Namazifard

Parsons

2004

Numerical Meth Engineering

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SUMMARYWe describe the parallel implementation of a multigrid method for unstructured finite element discretizations of solid mechanics problems. We focus on a distributed memory programming model and use the MPI library to perform the required interprocessor communications. We present an algebraic framework for our parallel computations, and describe an object-based programming methodology using Fortran90. The performance of the implementation is measured by solving both fixed-and scaled-size problems on three different parallel computers (an SGI Origin2000, an IBM SP2 and a Cray T3E). The code performs well in terms of speedup, parallel efficiency and scalability. However, the floating point performance is considerably below the peak values attributed to these machines. Lazy processors are documented on the Origin that produce reduced performance statistics. The solution of two problems on an SGI Origin2000, an IBM PowerPC SMP and a Linux cluster demonstrate that the algorithm performs well when applied to the unstructured meshes required for practical engineering analysis.

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Integrated 3-D simulation of solid propellant rockets

Cited by 12 publications

References 4 publications

Solid propulsion for space applications: An updated roadmap

Solid propulsion for space applications: An updated roadmap

Some Recent Developments in Rocket Core Dynamics

A distributed memory parallel implementation of the multigrid method for solving three‐dimensional implicit solid mechanics problems

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