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机构地区:[1]浙江大学
出 处:《土木工程学报》1999年第3期73-80,共8页China Civil Engineering Journal
基 金:国家自然科学基金!(No 59738160);中国博士后科学基金
摘 要:将新兴的交叉学科遗传算法用于基坑土钉支护优化设计中,该方法模拟了生物遗传进化的过程,克服了传统方法容易陷入局部最优值的缺点,是一种全局优化算法。以单位长度上钉墙的上钉材料造价作为优化的目标函数,全部约束均按《基坑土钉支护技术规程》(CECS96:97)^([2])的要求给出。编制了基坑土钉支护优化设计软件系统。通过实例证明了本文提出的方法的有效性。In this paper, the genetic algorithm was used in optimal design of soil nailing for deep excavations.It simulated the genetic evolutionary process of organisms and avoided the defect of local optimal value.It was a global optimal algorithm.The cost of soil nailing material in one unit length of wall was taken as the objective function.All the restraints were listed following 'Specification of Soil Nailing for Deep Excavations' submitted for opproval.The software system of optimal design of soil nailing for deep excavations was developed and the effectiveness of the suggested method was proved by an engineering project.
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