Journals / Isı Bilimi ve Tekniği Dergisi / 2012 / Cilt: 32 - Sayı: 2

Patlama sonrası oluşan şok dalgalarının Euler denklemleri ve intibak eden çözüm ağları kullanılarak simülasyonu

Blast wave simulations using Euler equations and adaptive grids

Pages
1–9
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Blast wave simulations performed showed that the adaptive grid method used here improved predictions considerably without requiring a lot of extra CPU time.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:An adaptive grid method which redistributes grid points according to equidistribution principle was implemented to an in-house computational fluid dynamics code capable of simulating blast waves.
📊
Key Findings & Data:It was also observed that interpolation method used to move the flow variables to new grid locations directly affects the accuracy of the solution and interpolation methods which do not guarantee conservation of mass may yield highly inaccurate results.
💡
Conclusion & Impact:Blast wave simulations performed showed that the adaptive grid method used here improved predictions considerably without requiring a lot of extra CPU time.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

An adaptive grid method which redistributes grid points according to equidistribution principle was implemented to an in-house computational fluid dynamics code capable of simulating blast waves. The resultant code was first tested for a shock tube problem. It was observed that benefit of using adaptive grids becomes more evident when discontinuities in the flow are stronger. It was also observed that interpolation method used to move the flow variables to new grid locations directly affects the accuracy of the solution and interpolation methods which do not guarantee conservation of mass may yield highly inaccurate results. Blast wave simulations performed showed that the adaptive grid method used here improved predictions considerably without requiring a lot of extra CPU time.

Özet

Çözüm ağı noktalarını eşit-dağılım prensibine göre yeniden dağıtan bir intibak eden ağ metodu, patlama sonrası oluşan şok dalgalarını simule edebilen bir hesaplamalı akışkanlar dinamiği programına uygulanmıştır. Elde edilen program önce bir şok tüpü probleminde denenmiş ve akıştaki süreksizlikler güçlendikçe intibak edici ağları kullanmanın öneminin daha belirgin olduğu gözlemlenmiştir. Ayrıca akış değişkenlerini yeni ağ noktalarına taşıyan interpolasyon metodunun çözümlerin doğruluğunu direk etkilediği ve kütle korunumunu sağlamayan interpolasyon yöntemlerinin oldukça hatalı sonuçlar verdiği görülmüştür. Daha sonar yapılan patlama sonrası oluşan şok dalgası simülasyonları da, uygulanan intibak eden ağ yönteminin sonuçları, harcanan CPU zamanını çok fazla arttırmadan iyileştirdiğini göstermiştir.

🔖

Cite This Article

ALPMAN, E. (2022). Patlama sonrası oluşan şok dalgalarının Euler denklemleri ve intibak eden çözüm ağları kullanılarak simülasyonu. Isı Bilimi ve Tekniği Dergisi, Cilt: 32 - Sayı: 2, 1–9. https://ajindex.com/articles/542565

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Alpman, E., Long, L, N., Chen, C. –C., Linzell, D. G., Prediction of Blast Loads on a Deformable Steel Plate Using Euler Equations, 18th AIAA Computational Fluid Dynamics Conference, Miami, FL, June 2007.
  2. Alpman E., Simulation of Blast Waves using Euler Equations, 17th National Thermal Science and Technology Conference, Sivas, Turkey, June 2009. (in Turkish). Anderson, J. B., Long, L. N., Direct Monte Carlo Simulation of Chemical Reaction Systems: Prediction of Ultrafast Detonations, Journal of Chemical Physics, 118 (7), 3102 – 311, 2003.
  3. Anderson, J. B., Long, L. N., Direct Simulation of Pathological Detonations, 18th International Symposium on Rarefied Gas Dynamics, Vancouver, Canada, 2002.
  4. Anderson, J. D. Modern Compressible Flow with Historical Perspective, 3rd Edition, McGraw Hill, 587, 2004.
  5. Brode H. L., Numerical Solutions of Spherical Blast Waves, Journal of Applied Physics, 26 (6), 766 – 775, 1955.
  6. Brode, H. L., Blast Wave from a Spherical Charge, The Physics of Fluids, 2 (2), 217 – 229, 1959.
  7. Chen, C.C., Alpman, E., Linzell, D.G., and Long, L.N., Effectiveness of advanced coating systems for mitigating blast effects on steel components, Structures Under Shock and Impact X, Book Series: WIT Transactions on the Build Environment, 98, 85 - 94, 2008.
  8. Chen, C.C., Linzell, D. G., Long, L. N., Alpman, E., Computational studies of polyurea coated steel plate under blast loads, 9th US National Congress on Computational Mechanics, San Francisco, CA, July 2007.
  9. Dewey, J. M., Expanding Spherical Shocks (Blast Waves), Handbook of Shock Waves, 2, 441 – 481, 2001.
  10. Dobratz, B. M., Crawford, P. C., LLNL Explosives Handbook – Properties of Chemical Explosives and Explosive Simulants, Lawrence Livermore National Laboratory, 1985.
  11. Fritsch, F. N., Carlson, R. E., Monotone Piecewise Cubic Interpolation, SIAM Journal on Numerical Analysis, 17 (2), 238 – 246, 1980.
  12. Hoffmann, K. A., Chiang, S. T., Computational Fluid Dynamics for Engineers, Volume I, Engineering Education SystemTM, 2004.
  13. Hoffmann, K. A., Chiang, S. T., Siddiqui S., Papadakis, M., Fundamental Equations of Fluid Mechanics, Engineering Education SystemTM, 2002.
  14. Hoffman, K., A., Chiang, S. T., Computational Fluid Dynamics, Volume II, Engineering Education SystemTM, 2000.
  15. Hyde, D. W., CONWEP: Conventional Weapons Effects Program, US Army Waterways Experimental Station, 1991.a Jones, H., Miller, A. R., The Detonation of Solid Explosives: The Equilibrium Conditions in the Detonation Wave-Front and the Adiabatic