Abstract
Equivalent surrogate experiments are important information sources when the prototype experiment is limited to do. To explore the design methodology for the experiments with multiple sources, the optimal design of experiment for damage assessment is studied as an example and the following works are done. Firstly, the discrepancy between the prototype experiment and the four equivalent surrogate experiments, which are reduced scale test, test with surrogate drones, static test and simulation, is analyzed. Secondly, the parameter model about the discrepancy is constructed, and so does the fusion model. Thirdly, the integrative optimal design is developed, and then the iterative algorithm for constructing the integrative Dn-optimal design is also discussed. Lastly, an example about the integrative Dn-optimal design of the flight and static experiments about the projectile penetrating into the concrete is given, and the example shows that the proposed method is more efficient than the standard Dn-optimal design.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Loren, S.R., Ian, A.W.: Accelerated aging testing of energetic components—a current assessment of methodology. AIAA2000-3646 (2000)
Wang, G.Y., Wang, L.D., Yuan, X.X., et al.: Substitute equivalent reckoning theory and method for radar EM test [M]. Defense Technology Press, Peking (2002)
Duan, X.J., Zhou, H.Y., Yao, J.: The decomposition and integration technique of fire dispersion index and conversion of impact deviation. J. Ballistics 17(2), 42–48 (2005)
Jeff, O.: Verification of simulation results using scale model flight test trajectories. AMR-AE-04-01 (2004)
Chen, W.C., Li, A.G.: Research on air to air missile combined environment reliability test profile. Aerosp. Shanghai 22(4), 41–44 (2005)
Klopcic, J.T., Reed, H.L.: Historical perspectives on vulnerability/lethality analysis. ADA361816 (1999)
Chen, X.W., Zhang, F.J., Yang, S.Q., et al.: Mechanics of structural design of EPW (III): investigations on the reduced-scale test. Explos. Shock Waves 26(2), 105–114 (2006)
Zhao, G.Z., Yang, Y.L.: Equivalent surrogates for armor target damage assessment by kinetic energy projectile. J. Nanjing Univ. Sci. Technol. 27(5), 509–514 (2003)
Huang, H.Y., Duan, X.J., Wang, Z.M.: A novel posterior-weighted Bayesian estimation method considering the credibility of the prior information. ACTA Aeronaut. ET Astronaut. SINICA 19(5), 1245–1251 (2008)
Decarl, D.: Small sample experimental design optimization and repair. DE00005982/XAB (1999)
Melas, V.B.: Functional approach to optimal experimental design. Springer Science + Business Media, New York (2006)
Klopcic, J.T., Starks, M.W., Albert, J.N.W: A taxonomy for the vulnerability/lethality analysis process. ADA250036 (1992)
Xu, S.L., Xiang, H.B.: Similarity theory applied in projectile penetrating into concrete target and deflection analysis. J. Projectiles Rockets Missiles Guidance 27(3), 123–126 (2007)
Yang, Y.L., Zhao, G.Z., Zhang, J.X.: Study on protection level RHA equivalences of advanced armor against KE projectiles. J. Ballistics 15(2), 64–68 (2003)
Lv, X.C., Xu, J.Y.: The study of the calculation about the projectile penetrating the steel-fiber concrete. J. Projectiles Rockets Missiles Guidance 26(1), 89–92 (2006)
Ma, A.E., Huang, F.L.: Experimental research on oblique penetration into reinforced concret. Trans. Beijing Inst. Technol. 27(6), 482–486 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this paper
Cite this paper
Huang, H., Chen, Y., Shao, M., Zhang, H. (2013). Integrative Optimal Design of Experiments with Multiple Sources. In: Wong, W.E., Ma, T. (eds) Emerging Technologies for Information Systems, Computing, and Management. Lecture Notes in Electrical Engineering, vol 236. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7010-6_36
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7010-6_36
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-7009-0
Online ISBN: 978-1-4614-7010-6
eBook Packages: EngineeringEngineering (R0)