Surrogate modeling based on resampled polynomial chaos expansions

•A resampled polynomial chaos expansion is developed to reduce the modeling variance with small experimental designs.•Various sparse polynomial chaos expansions are built from resampled experimental designs.•The basis functions are ranked according to the selection frequency in the various PCE.•Cross-validation is used for further ranking of basis functions with the same selection frequency.•The proposed method achieves better accuracy than standard sparse PCE.