Impact reliability analysis of isolation system shock absorber

A reliability analysis study was conducted on the shock absorber used in a certain ship. Firstly, a multi-source uncertainty quantification model was established. Different forms of models are used to quantify the uncertainty of loads, geometric shapes, and material properties based on their characteristics. Then, combining Monte-Carlo method with BP neural network surrogate model, the relationship between input variables and output acceleration is established. Finally, based on the surrogate model, the response distribution and reliability of the shock absorber are obtained, which provides a reference for the subsequent structural analysis and optimization.