| This paper takes a commercial vehicle as the research object, integration technology, virtual road signal acquisition iterative technique, application of ADAMS, Hyperworks, Nastran, femfat-lab and other software, to solve the problem of a vehicle carrying system load spectrum based on field test of a typical road.The technology roadmap for vehicle testing field of the typical road signal acquisition, signal processing, road vehicle multi-body dynamics model, the typical pavement load spectrum prediction, prediction results and test results, the formation of a complete set of test specification and flow field of typical pavement load spectrum prediction. In this paper, the measurement of road load spectrum, the modeling and solving of multi body dynamics. The research is based on the following several technical aspects, to launch and promote the typical road load spectrum prediction technology research of commercial vehicle.The first is the measurement of the road signal of commercial vehicle: the accuracy of road signal acquisition is the basis and premise of the whole typical road load spectrum prediction. This paper introduces the sensor type, measurement method and data processing of road signal in detail.Second is the development and validation of vehicle multi-body model: Vehicle Multi-body model including cab system, chassis system, powertrain system, front suspension system, rear balancing suspension system five system assembly, the model precision of each system, and prediction accuracy of vehicle road load spectrum relationship. It is found that the accuracy of rationality directly affects the quality of vehicle and key parameters of axial load, spring stiffness, damper characteristic curve of the virtual iteration, the effect of load spectrum, assembly method to verify the precision of model is domain analysis and model vibration frequency through the measurement results were compared, preliminary verification of assembly model the precision, and the establishment of the ADAMS multi body dynamic model and modeling method based on the standard, for the follow-up of the road load spectrum prediction reference.The third is the typical pavement load spectrum of the virtual iterative calculation and experimental verification on the test signal to the input conditions, using the femfat-lab software and the vehicle multi-body dynamics model of virtual iteration, step by step response signal to the key position of the multi-body dynamics model of vehicle tire above several approximation test signal, simulation and experiment of monitoring signal is close to convergence, if the monitoring signal reaches a reasonable interval, complete iterative calculation of the virtual typical pavement, road vehicle parts output load spectrum.Test and measurement technology, multi body dynamics analysis, CAE analysis etc. the project includes research, project and experience gained in some of the load spectrum analysis and understanding for everyone to share, hope to put forward criticism industry experts, teachers and engineers Tongren the deficiencies and errors. |