Nonlinear Dynamic Modeling for Joint Interfaces by Combining Equivalent Linear Mechanics with Multi-objective Optimization
Source abstract
Abstract
The nonlinear dynamic modeling by combining the equivalent linear mechanics with the multi-objective optimization algorithm is proposed to describe the nonlinear behaviors of the joint interfaces. The joint interfaces are simplified as the equivalent virtual material or linear spring–damper element. The genetic algorithm for multi-objective optimization is then used to identify the mechanical properties of the equivalent joint by minimizing the error between the simulated dynamic characteristics and the experimental results, including the modal frequencies of the bolted joint beam and the frequency response functions (FRFs) of the rubber isolation system. The FRFs are divided into several subsections with frequency-varied dynamic properties of the joint to consider the nonlinear dynamic behaviors, and the effects of subsection number and excitation amplitudes on the FRFs are also investigated. The results show that the simulated dynamic characteristics of modal frequencies and FRFs agree well with the experimental results. With the increase in the subsection number, the simulated FRFs agree better with the experimental results, indicating a good performance of modeling the nonlinear dynamic behaviors of the joint interfaces forced by different excitation amplitudes. Larger excitation amplitudes will decrease the joint stiffness.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Structural Health Monitoring Techniques · Mechanical Engineering and Vibrations Research · Gear and Bearing Dynamics Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
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