| Abstrakt: |
Zhang, H., Jeng, D-S., Cha, D. and Blumenstein, M., 2007. Parametric study on the Prediction of Wave-induced Liquefaction using an Artificial Neural Network Model. Journal of Coastal Research, SI 50 (Proceedings of the 9th International Coastal Symposium), 374 – 378. Gold Coast, Australia, ISSN 0749.0208 The prediction of the wave-induced liquefaction potential is particularly important for coastal engineers involved in the design of marine structures. An artificial neural network (ANN) model is used to estimate the wave-induced liquefaction in terms of wave and seabed sediment conditions. The sensitivity of wave and seabed sediment parameters is extensively investigated to get the most accurate results. The deterministic wave and liquefaction models are used to explain the parameter features physically. Numerical examples demonstrate the capacity of the ANN modelling approach in simulating complex mechanisms such as wave-induced liquefaction with adequate information. [ABSTRACT FROM AUTHOR] |
