Abstract: The dynamic analysis of buried pipelines subjected to seismic actions poses a complex engineering challenge. Taking full account of the randomness inherent in ground motions, a reliability analysis method, grounded in probability density evolution and equivalent extreme value distribution, has been developed. This method offers a probabilistic and statistical perspective to investigate the stochastic dynamic response and reliability of buried pipelines. It is utilized to conduct stochastic dynamic analysis and reliability assessment of pipeline displacements, and its validity is compared and confirmed against the Monte Carlo Simulation (MCS) method. The results demonstrate that the Generalized Probability Density Evolution Method (GPDEM) is an economical and efficient approach for seismic dynamic reliability analysis, with broad applicability to the dynamic reliability analysis of nonlinear structures under seismic actions. The displacements of buried pipelines are highly sensitive to seismic actions, undergoing significant nonlinear changes. Pronounced horizontal reciprocating motions can exacerbate fatigue damage to the pipelines. Furthermore, over time, the pipelines may gradually subside, posing a severe threat to their safe operation. To ensure the seismic safety of buried pipelines, it is crucial to assess their seismic performance, taking into account the randomness of ground motions. A single evaluation index is inadequate for accurately assessing the performance level of buried pipelines across all time states. Reliability analysis based on GPDEM can reasonably characterize the evolution of the probability density function of the dynamic response of buried pipelines during seismic events, thereby providing a theoretical foundation for the seismic design of buried pipelines.