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在岩土工程问题的相关研究当中,其岩土体参数的取值以及确定初始地应力场是这些问题当中非常重要的一个课题。许多岩土工程的实践结果说明,不论是室内的试验还是原位的试验,其所确定的参数和实际上的结果都有很大的差距,同时岩土体的参数因为有许多因素的影响而致使其试验的结果并没有标志性,因而在实际的岩土工程当中很难被采用到。文章主要讨论分析了粒子群优化算法的来源及其操作方法,并运用岩土工程实例作为举证表明粒子群优化算法的优势。
Among the related researches on geotechnical engineering problems, the value of rock and soil parameters and the determination of initial geostress field are very important issues among these problems. The practice of many geotechnical engineering shows that there is a big gap between the parameters determined by the geotechnical engineering and the actual results both indoors and in situ. At the same time, the parameters of the rock mass are affected by many factors As a result, the result of its experiment is not symbolic, so it is very hard to be used in actual geotechnical engineering. This paper mainly discusses the source of particle swarm optimization algorithm and its operation method, and uses the geotechnical engineering example as an example to prove the advantage of particle swarm optimization algorithm.