Study on the Sensitivity of Existing Truss Structures to Different Loading Modes

In actual engineering, it is necessary to frequently identify structural damage to ensure a clear understanding of the structure and to respond to accidents in advance. The methods for structural damage identification are currently mainly focused on Bayesian updating.Bayesian updating is a method that uses information obtained from experiments to update known conditions. However, implementing Bayesian updating in many actual engineering health detection, a method is needed to minimize the number of structural observations and tests and gain an understanding of the health status of engineering structures. This paper explores the maximum value of Bayesian updating sensitivity by applying different loads to the existing truss model. Specifically, applying pressure shear forces to the overall truss structure, Longitudinal comparison of the changes in update sensitivity under different loads, and summarized an optimal method to improve the sensitivity of partial truss structures through different loading methods to explore ways to reduce the cost of actual engineering tests. Finally, Bayesian inference is used to try to apply a larger load to the structure and record its displacement change value.