混合遗传算法在砂土液化势评价中的应用

基于历史地震液化实例资料和现场实测 SPT值 ,建立了应用混合遗传算法的砂土液化势智能评价模型 ,并实际评判了特大型润扬长江公路大桥工程区的砂土液化 ,且进一步分析和研究了桥址区潜在液化层的空间分布规律和概率统计特征 ,并与规范判定法结果作了对比 ,取得了较好的成果。实例应用表明了该法是可行和可靠的 ,为大桥的设计和施工提供了科学依据 ,对基础工程的可靠性分析和最优设计具有重要实际意义

Application of mixed genetic algorithms to the assessment of sand liquefaction potential

Based on the mixed genetic algorithms(GAs),the in-situ data of the standard penetration test(SPT) and examples of earthquake-induced liquefaction potential, the intelligent evaluation model is established in this paper. And liquefaction potential of soil layers in the area of the oversize Runyang Yangtze River Highway Bridge project is determined. Moreover, the results are compared with those obtained by using the specification method and other methods. The space distribution probability of the sand layer in potential liquefaction is investigated as well as the characteristics of the probability. The results obtained from the intelligent evaluation model are satisfying,which demonstrates that the presented method is feasible and reliable. This study provides a theoretical basis for the bridge design and construction,and it has great practical significance in the reliability analysis and optimal design of foundation projects.