Joints are the key parts for stress transfer and mechanical deformation in the structural system of prefabricated buildings

and also the weak links in the seismic performance of the overall structure. A large number of seismic damage investigations and engineering practices have shown that the collapse and failure of prefabricated buildings under earthquakes mostly originate from connection failure and loss of stability in joint regions. Therefore

the mechanical properties of joints directly determine the safety reserve and seismic capacity of the overall structure of prefabricated buildings. Conducting targeted research on joint stability is of important engineering value and practical significance.This paper focuses on the grouted sleeve joints of prefabricated buildings

and studies the influence of earthquakes on the stability of grouted sleeve joints by adopting methods including literature research

finite element simulation and numerical simulation. The corresponding grouted sleeve joint model is established by using Abaqus finite element analysis software

and seismic waves are applied to the model. Ten variables such as reinforcement size

reinforcement material and concrete strength grade are selected. With the single variable control method

the influence degree of different variables on bearing capacity is analyzed. Machine learning methods are further adopted to obtain the optimal variable combination for improving bearing capacity.