Based On Artificial Neural Network Concrete Pump Car Arm Shelf Modal Of System Analyse And Optimize

In our country, concrete pump design and manufacture of car time long, produce 36M lift following products generally, 42M a the above-mentioned one mostly to import and assemble, especially the structure system. 36M following products have vibration to be relatively heavy also , appear arm shelf structure tired question of rupturing etc. sometimes. Because arm shelf have great influence on performance of the long arm concrete pump car, for improve of our country concrete pump designing and manufacturing level of car as soon as possible, entrust by enterprise, with begin 42m concrete pump car arm shelf system produced to design as the research object recently at home this text, analyse BP neural network, finite element, hereditary organic to combine algorithm, carry on research to concrete pump car arm shelf structure optimization design of system.This text can deal with to utilize fuzzily , contain noise data and have very strong to shine upon BP neural network of function carry on structure prediction of dynamic characteristic export while being non-linear. Utilize BP neural network set up arm shelf structure design parameter shine upon the relation with nonlinearity of natural frequency, namely has set up the structure analysor based on BP network. BP network train sample mode analyse the income by finite element model. This text carry on deeper studying to BP neural theory and implementation method of network also. To BP neural shortcoming of network , study one dynamic self-adaptation is it study improvement type BP algorithm of parameter to adjust. This text is it evolve algorithm transfer BP network train result carry on structure design parameter optimized to utilize, and has developed the concrete pump train arm shelf optimization design software. Through optimize, arm shelf structure main design parameter improve in various degree, have achieved the goal of optimizing.This text is divided into 7 chapters altogether. Chapter one the introduction, survey artificial neural network , modal analysis , finite element both at home and abroad , evolve algorithm history , development and current situation ofstudying, and domestic concrete pump industry state of development of car, explain copies of proposition, purpose and meaning of subject. Chapter two system BP neural theory , structure , main shortcoming of network improve measure when narrating artificial neural networking very, have put forward a kind of improvement type BP algorithm. Chapter three sum up evolve algorithm especially evolve the theory of tactics and realize. Set up concrete pump car arm shelf mechanics and finite element model of structure, and has carried on the experiment to verify. Introduce based on BP network arm shelf structure and inherent characteristic construction of analysor. Set up arm shelf structure optimization mathematics model that mode analyses, have introduced the realization of optimization design. Chapter seven full text summary of research work, propose developing direction that will study further in the future.