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Indexed by:期刊论文

Date of Publication:2022-06-29

Journal:大连理工大学学报

Affiliation of Author(s):建设工程学部

Issue:2

Page Number:292-296

ISSN No.:1000-8608

Abstract: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.

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