In view of the transverse crack of the longitudinal beam near the upper bracket of the front axle shock absorber of a dump truck frame, the improvement scheme is proposed. According to the actual road conditions of the dump truck, the strain test of the longitudinal beam, the displacement test of the shock absorber and the strain test of the piston rod of the shock absorber before and after improvement are completed. The calibration of the force of the piston rod of the shock absorber is completed in the bench test. The load spectrum of the frame fatigue simulation analysis is obtained by using the strain test results of the piston rod of the shock absorber. A section of frame model is intercepted, the finite element model of frame is established by shell element, and the finite element stress analysis of frame is carried out with HyperMesh software. At the same time, according to the time series load excitation spectrum and the fatigue characteristic parameters of frame material, the fatigue life of frame before and after improvement is obtained by using FEMFAT software. The results of the cloud chart of the frame fatigue life show that the position of the frame easily damaged before improvement is consistent with the actual position of the crack, and the fatigue life of the frame after improvement is significantly improved compared with that before improvement, which verifies the correctness of the fatigue life analysis method, and provides a reference for the fatigue life prediction and structural improvement of the frame.
Fatigue Life Analysis of Frame Based on Measured Load Spectrum
Lect. Notes Electrical Eng.
2022-01-13
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Fatigue Life Analysis of Frame Based on Measured Load Spectrum
TIBKAT | 2022
|Driving Cycle, Load and Fatigue Life Predictions Based on Measured Route Data
SAE Technical Papers | 2001
|Driving cycle, load and fatigue life predictions based on measured route data
Kraftfahrwesen | 2001
|2001-01-3468 Driving Cycle, Load and Fatigue Life Predictions Based on Measured Route Data
British Library Conference Proceedings | 2001
|