A global-local hybrid strategy with adaptive space reduction search method for structural health monitoring

•A hybrid global-local strategy for identification of complex and large-scale structures is proposed.•Jaya algorithm is improved by introducing fuzzy clustering, experience learning and Cauchy mutation mechanism.•Sensitivity-based adaptive search space reduction method is developed to redefine the search limits of parameters.•Levenberg-Marquardt, sequential quadratic programming, Nelder-mead simplex method are used as local optimizers.•The performance of proposed methods is validated with numerical and experimental investigations.