Bridge system reliability assessment based on Markov process

The main purpose of this study is to introduce bridge working conditions assessment method. This problem had become more and more important in the bridge operation process. The bridge system reliability analysis method in this study was based on the results of bridge components reliability. Bridge system reliability assessment index selected Markov process steady-state probabilities. In order to study the influence of bridge components repair rate on system reliability, wrote the bridge components repair rate in the transition rate matrix of the system. We can get the System Reliability Relational Matrix (SRRM). Through solved Markov process steady-state probability calculation equation. We can obtain the bridge system steady-state probabilities. Namely, these steady-state probabilities take into account the influence of bridge components repair rate on system reliability. The example verifies the feasibility and availability of the above method. It gives certain theoretical basis and practical method for bridge system reliability assessment.