In this paper, a theoretical model for grey synthetic evaluation of seismic liquefaction of sands is established based on exploration of main factors which have great influence upon liquefaction.
通过研究砂土液化的主要影响因子，建立了砂土液化的灰色综合评判理论模型，并成功地将该理论模型应用于实际工程中。
The method of BP neural network based on MATLAB is introduced. It is applied to the evaluation of the sandy soil seismic liquefaction with satisfactory results.
介绍利用MATLAB神经网络工具箱训练BP网络的方法及其在砂土震动液化评价中的应用，取得了良好的效果。
Thus, evaluation of the liquefaction potential of a soil subjected to a given seismic loading is an important first step towards mitigating liquefaction-inducted damage.
评估土壤的液化潜能是进行工程抗震设计，减轻地震灾害重要的第一步。
应用推荐