Optimized vibration behavior

The authors propose a novel BCMO-DNN algorithm for vibration optimization of functionally graded porous microplates. The theory is based on a unified framework of higher-order shear deformation theory and modified strain gradient theory. A hybrid combination of deep learning neural network and balancing composite motion optimization is developed to solve the optimization problems and predict stochastic vibration behaviors of functionally graded porous microplates with uncertainties of material properties.

12p dathienlang1012 03-05-2024 3 0   Download

This paper studies the vibration analysis of the powertrain’s four-point suspension system of light truck. The method of reseash is simulation by using MATLAB Simulink. The relationship between the system’s physical parameters (spring stiffness and damping coefficient) and the vibration parameters is then analyzed to find the best combination of the physical parameters that yields the optimized vibration behavior. An experimental of measuring the vibration frequencies at the four-point of powertrain's suspension with the engine working with different rotation.

4p kequaidan11 13-04-2021 9 2   Download