Research On Theory, Methodology, And Techniques For The Collaborative Optimization Of Complicated Structure

On the base of in-depth research, the basic problems of static and dynamic collaborative optimization are discussed in detail for the first time, and a multi-agents based collaborative optimization system is advanced and implemented.Finite element modeling theory and methodology: At first, a generalized optimization of complicated mechanical system oriented finite element modeling strategy is advanced, in which transient response model includes two models with different granularity. The mesh data of these two models comes from static and modal finite element analysis respectively, and their load data possesses internal successivity. According to the correlation, finite element models support me parallel and cooperative processing of static, modal and dynamic response analysis.Secondly, a method for updating FE analytical model using the data from experimental test and parametric identification as reference is put forward, based on the optimum approach theory of matrix under the spectral constraint This method also pays respect to the affect from the experiment errors by using Baysian estimation principle. The method keeps away from the cause of misshapen mode in modifying at the incomplete mode space.Third, an intelligent genetic algorithms based model parameter identification method is brought forward, which maps real parameters to the space spanned by structural stiff and mass matrix, and optimizes them under some constraints.Collaborative theory, methodology, and the implementation of structural static and dynamic optimization: At First, multi-agents based static and dynamic collaborative optimization method is put forward for the first time, and three optimizing patterns, multi-levels infrastructure of dynamic optimisation and the complexity of finite element analysis in optimizing are discussed in detail from the angle of system requirement bystatic and dynamic optimization. Afterwards, a multi-agents based system framework is brought forward and implemented.Secondly, the conceptual context of static and dynamic collaborative optimization of complicated mechanical system is dissected in this dissertation, and its ontology constitution is studied, afterwards, its field oriented object tree and ontology expression are fulfilled in further. This is the foundation of the communication and cooperation among agents.Third, collaborative technique in the static and dynamic optimization system is studied hi depth, and a recursive transmit network based multi-tasks cooperative solving method and graph planning technique are put forward. Further more, resource assignment conflict and exception handling is investigated with practical example, hi addition, a cooperative scenario for finite element analysis AGENTs is advanced according to the requirement of optimizing system.Original application of the structural static and dynamic collaborative optimization: It is the first time to apply the multi-agents based static and dynamic collaborative optimization system into the optimal design of hydraulic excavator hi the world, and some instructive results come into being.