Hou, F.-J.; Xie, X.-K.; Shi, S.-S.; Song, S.-G.; Bu, L.; Li, L-P., and Zhou, Z.-Q., 2019. Dynamic optimization classification model for submarine tunnel surrounding rocks and its application in engineering. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 311–315. Coconut Creek (Florida), ISSN 0749-0208.
In order to make the classification of tunnel surrounding rocks more reasonable and accurate, a multi-index matter-element extension evaluation model was proposed for the advanced optimization classification of submarine tunnel surrounding rocks based on the extension evaluation method. Firstly, the rock mass integrity index Kv, Young's modulus E, the longitudinal wave velocity Vp, Poisson's ratio l, and groundwater W were selected as the evaluation indices. Secondly, the TSP detection technology was employed to collect quantitative indices. The main influencing factors, which were non-dimensional, were used to set up the matter-elements in order to make the evaluation indices comparable. Lastly, the matter-element extension evaluation model was applied to a submarine tunnel construction project in China and the evaluation results were compared against the excavation conditions on site.