The application provides a large-span steel structure
closed loop analysis method and
system, the
analysis method comprises the following steps: constructing a finite
element model and a design parameter space, identifying key design parameters and key regions affecting the first N
modal strain energy of the structure through initial sensitivity and
modal analysis, and establishing a mapping relationship between the two; according to the parameter sensitivity contribution, a non-uniform sampling strategy is formulated, the sampling is encrypted in the high sensitivity parameter subspace, an
initial sample set is generated, based on the sample and the finite element response, a hierarchical mixed kernel
Kriging surrogate model containing a global long-range kernel and a multi-region local short-range kernel is constructed, the local kernel weight increases as the input point approaches the high sensitivity region, the iteration termination and the
performance limit state are set, the composite point adding criterion integrating the prediction variance, the limit state distance and the cross-
validation error is used to iteratively update the sample and the model, and after the condition is met, the structure performance analysis is completed by using the
surrogate model.