Font Size: a A A

Modeling And Analysis Method For Optimization Design In The Whole Construction Process Of A Group Of Underground Cavity

Posted on:2003-01-05Degree:DoctorType:Dissertation
Country:ChinaCandidate:H X YangFull Text:PDF
GTID:1102360092480965Subject:Structure engineering
Abstract/Summary:PDF Full Text Request
Based on the synthetic study of traditional design, construction process, working condition, naturally geologic factors and other project factors of a group of underground cavity, The three phase models of the underground cavity for optimization design are presented in this paper. Moreover, the FE analysis model with geometry simulation, constitution simulation, stress state simulation and action process simulation is formed in this paper.The author proposes two criteria to choose the best design model including the minimum strain energy deviation criteria and the minimum strain energy of shape change criterion. This is a criterion base for solving the optimization design problems of underground cavity in the paper.The author presents random discrete real code genetic algorithm, which is a simple and practical algorithm to find the global optimization result quickly with good convergence and adaptation in the case of large complex constructions. This algorithm provides the algorithmic base for solving optimization design problems of the underground cavity.The paper builds distribution optimization design model of underground cavity considering excavation process and the tectonic stress direction, excavation sequences, dynamic programming model and optimization design of support parameter based on homogenized mechanics parameters for anchored rock. Optimization programs are completed. Results of case in engineering have demonstrated the optimization models proposed in the paper are reasonable, reliable and ready for the application in engineering practice.
Keywords/Search Tags:structural optimization design, underground cavity, underground powerhouse, optimization algorithm, genetic algorithm, energy criterion, dynamic programming, distribution optimization, support parameter optimization
PDF Full Text Request
Related items