Prediction of the response under impact of steel armours using a multilayer perceptron

Neural Computing and Applications

Volumn 16, Issue 2, 2007, Pages 147-154

  Garcia Crespo A ^a   Ruiz Mezcua, B ^a   Fernandez Fdz D ^a   Zaera, R ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Ballistic impact; Neural network; Numerical simulation; Steel armour

Indexed keywords

EID: 33847300523     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-006-0050-1     Document Type: Article

References (17)

1. Goldsmith W (1960) Impact. The theory and physical behaviour of colliding solids. Edward Arnold Publishers, London
2. Zaera R, Sánchez-Gálvez V. (1998) Analytical modelling of normal and oblique ballistic impact on ceramic/metal light-weight armours. Int J Impact Eng 21:133-48
3. Arias A, Zaera R, López-Puente J, Navarro C (2003) Numerical modeling of the impact behavior of new particulate-loaded composite materials. Comp Struct 61:151-59
4. Awerbuch A, Bodner SR (1974) Analysis of the mechanics of perforation of projectiles in metallic plates. Int J Solids Struct 10:671-684
5. Ravid M, Bodner SR (1983) Dynamic perforation of viscoplastic plates by rigid projectiles. Int J Eng Sci 21:577-591
6. Anderson CE (1987) An overview of the theory of hydrocodes. Int J Impact Eng 5:33-59
7. Minsky M, Papert S (1969) Perceptrons. MIT Press, Cambridge
8. ABAQUS/Explicit v6.4 User_s manual (2003) ABAQUS Inc., Richmond
9. Johnson GR, Cook WH (1983) A constitutive model and data for metals subjected to large strains, high strain rates, and temperatures. In: Proceedings of seventh international symposium ballistics, The Hague, The Netherlands, pp 1-7
10. Kirraine DE (1990) Machine learning, Training and Development. J 40:24-29
11. Rumelhart DE, McCleland JL (1986) Parallel distributed processing. MIT Press, Cambridge
12. Rumelhart DE, McCleland JL (1988) Parallel distributed processing VI: foundations. Bradford Books, New York
13. Hopfield JJ (1987) Neurons with graded response have collective computational properties like those of two state neurons. Proc Natl Acad Sci 81:4947-4960
14. Waszczyszyn Z, Ziemianski L (2001) Neural networks in mechanics of structures and materials - new results and prospects of applications. Comput Struct 79(22-25):2261-2276
15. Ince R (2004) Prediction of fracture parameters of concrete by artificial neural networks. Eng Fract Mech 71(15):2143-2159
16. Liu SW, Huang JH, Sung JC, Lee CC (2002) Detection of cracks using neural networks and computational mechanics. Comput Methods Appl Mech Eng 191(25-26):2831-2845
17. Tarassenko L (1998) A guide to neural computing applications. Arnold/NCAF, London