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Wang, S.; Liu, D., and Wang, Z., 2018. Feature analysis and control method of seepage deformation of rock and soil in port and coast. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 436–441. Coconut Creek (Florida), ISSN 0749-0208. It is difficult to effectively reflect seepage deformation features and development process of rock and soil by detecting the seepage hazard of rock and soil and concentrated seepage channel using current seepage deformation feature analysis methods. It cannot directly evaluate the anti-seepage performance of coastal rock and soil. This paper presents a method for analysis and control of seepage deformation of rock and soil in port and coast. By determining the type of seepage deformation of soil and the critical hydraulic slope or the allowable hydraulic slope, it is determined whether the dam foundation is deformed due to seepage by the comparison between the critical hydraulic gradient and the actual hydraulic gradient, so as to develop a reasonable and effective control plan. The experimental results show that the proposed method can provide the theoretical basis for the construction of port and coast engineering, and seepage prevention and reduction for dam foundation. [ABSTRACT FROM AUTHOR]

Wang, S.; Liu, D., and Wang, Z., 2018. The stability and reliability of the marine anchor rock mass under wave action. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 6–11. Coconut Creek (Florida), ISSN 0749-0208. At present, most of the stability and reliability analysis of the coastal and anchor rocks is based on the genetic algorithm, while there is a problem that the efficiency of analysis is low. In this paper, a steady and reliability analysis method based on the wave action of the equivalent plastic strain is proposed. Firstly, the analysis model is established, and the uniform design method, radial basis neural network technology and maximum entropy principle are combined on this basis to complete the stability and reliability analysis. Experiments show that compared with traditional method, the error between the ultimate bearing capacity and the actual ultimate bearing capacity of the method in this paper is smaller, the stability and reliability analysis of the anchorage rock solid with different water content is more accurate and the effect is better. [ABSTRACT FROM AUTHOR]