Identifying the tunnel surrounding rock parameters based on particle swarm optimization arithmetic

Because numerical model complexity of tunnel, the paper induces a swarm intelligence optimization algorithm - improved particle swarm optimization, constructs the surrounding rock parameters identification method. Based on orthogonal design and uniformity design, the numerical tests of underground engineering are carried out, so as to produce data set to gain the regress model relating rock mechanical parameters and monitoring displacements. Begin from the random values of parameters, take error between calculation values and monitoring data as fitness value, iterating according to the PSO rule, then the parameters adaptive identification realized. True tunnel engineering calculation states that the mean has good global optimization ability, the recognition accuracy is satisfied.