点击次数：

论文类型：期刊论文

发表时间：2022-06-29

发表刊物：大连理工大学学报

所属单位：建设工程学部

期号：2

页面范围：292-296

ISSN号：1000-8608

摘要：The parameters of the material and boundary condition are sensitive to the dynamic characteristics of the underground power house. Based on summarizing the development of inverse analysis methods, the improved genetic algorithm is jointed to the ANSYS Code and an optimal genetic dynamic identification model is obtained. Making use of the test data, the dynamic inverse analysis of an underground power house of a pumped storage power plant is carried out; and its average elastic modulus and the elastic resisting force of the surrounding rock are obtained.

备注：新增回溯数据