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Damage prediction

Figure 20. The impact of a faster H2/air-front moving through die anode flow-field. 100% relative carbon loss is defined as the localized damage prediction when no pseudo-capacitance is considered in die model. Significantly less carbon corrosion is expected at the anode inlet region as the speed of H2/air-front increases but much less benefit at the anode outlet region. Figure 20. The impact of a faster H2/air-front moving through die anode flow-field. 100% relative carbon loss is defined as the localized damage prediction when no pseudo-capacitance is considered in die model. Significantly less carbon corrosion is expected at the anode inlet region as the speed of H2/air-front increases but much less benefit at the anode outlet region.
A. The staff of combat units generally has an efficient system of casualty and damage assessment. After a nuclear detonation, the S2/S3 or the NBC cell will probably issue casualty and damage predictions. [Pg.30]

Petersen, J. C., Plancher, H., Ensley, E. K., Venable, R. L., and Miyake, G., Chemistry of Asphalt-Aggregate Interaction Relationship with Pavement Moisture-Damage Prediction Test, Transportation Research Record 843, 1982, pp. 95-104. [Pg.127]

Wiggenrad JEM, Zhang X, Davies GAO. Impact damage prediction and failure analysis of heavily loaded, blade-stiffened composite wing panels. Compos Struct 1990 45(2) ... [Pg.257]

Davies GAO, Zhang X. Impact damage prediction in composite structures. Int J Impact Eng 1995 6(l) 149-70. [Pg.258]

Ouchterlony, F., Sjobeig, C., Jonsson, B. A. (1993). Blast damage prediction from vibration measurements at the SKB underground laboratories at ASPO in Sweden. Inti. Soc. Explosive Engg. (pp. 189-197), San Diego, CA. [Pg.158]

Bracke, S. 2008. A contribution for a sustainable design of complex mechatronic automotive products using statistical damage prediction models in the early product construction phase to prevent damage causes, in Sustainability and Remanufacturing (VI), Pusan, Korea Pusan National University. [Pg.803]

Pinelli, J-P., Simiu, E., Gurley, K., Subramanian, C., Zhang, L., Cope, A., Filliben, J. 2004. Hurricane Damage Prediction Model for Residential Structures, Journal of Structural Engineering, ASCE, Vol. 130, No. 11, pp. 1685-1691. [Pg.1159]

Mottershead, K. J., D. W. Beardsmore, and G. Money, 1995, Dropped Fuel Damage Prediction Techniques and the DROFU Code, Paper 43, Proceedings of the International Conference on Fuel Management and Handling, Edinburgh, March 20-22, 1995, British Nuclear Energy Society, London. [Pg.70]

F. Alavi, Damage prediction of composites filled with irregular particles,pfiD Thesis (2013). [Pg.415]

Meyer, I.F., Kratzig, W.B., Stangenberg, F. 1988. Damage prediction in reinforced concrete frames under seismic action. EEE-European Earthquake Engineering 3 9-15. [Pg.598]

Oritz, K, Chen, N. K. Fatigue damage prediction for stationary wide-band stresses. In Presented at the 5th International Conference on the Applications of Statistics and Probability in Civil Engineering, Vancouver, Canada (1987)... [Pg.475]

A novel solution proposed by Han et al. (2012) used a GPU to accelerate urban seismic damage prediction based on refined building models and nonlinear time-history analysis (THA). Figure 2 shows the flow chart of the Han s program in which the CPU reads the data, copies the data into the GPU, and assigns the computational tasks to each GPU core, whereas the GPU implements the nonlinear THA for individual buildings and copies the results back to the host memory for output. [Pg.1124]

The benchmark cases demonstrated that the GPU/CPU cooperative computation time is approximately 1/39 times the CPU computational time if single precision is used, as shown in Fig. 3. This ratio increases to 1/21 if double precision is used. Seismic damage prediction based on a GPU is shown in Fig. 4, which provides an important reference for earthquake disaster prevention and mitigation. [Pg.1126]

Han B, Lu XZ, Xu Z (2012) Urban regional seismic damage prediction based on GPU-CPU hybrid computing. In Proceedings of the 15th world conference in earthquake engineering, Lisbon... [Pg.1126]

The delamination and woven ply damage predicted by FEA model showed more pronounced energy absorption mechanisms in Kevlar-fiber shell followed by carbon-fiber... [Pg.282]

S. SANBORN, B. KOEPPEL, N. KLYMYSHYN, H. ADKINS, and K. CEELHOOD, " Assembly Level Modeling and Transportation Damage Prediction of Used Nuclear Fuel (UNF) Cladding (14569)," WM2014 Conference, Phoenix, Arizona, USA, March 2-6, 2014. [Pg.109]

NASA Contractor Report 4706 Structural Damage Prediction and Analysis for Hypervelocity Impacts- Handbook. [Pg.554]


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See also in sourсe #XX -- [ Pg.284 , Pg.285 , Pg.286 ]




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