6Despite the major advances in finite element (FE) modeling and system identification (SI) of 7 extended infrastructures, soil compliance and damping at the soil-foundation interface are not 8 often accurately accounted for due to the associated computational demand and the inherent 9 uncertainty in defining the dynamic stiffness. This paper aims to scrutinize the effect of soil 10 conditions in the SI process and to investigate the efficiency of advanced FE modeling in 11representing the superstructure-soil-foundation stiffness. For this purpose, use is made of the 12 measured, computed and experimentally identified natural frequencies of a real bridge. Field 13 measurements that were obtained during construction were reproduced both in the laboratory 14 and by refined FE modeling. In addition, to understand the physical problem more thoroughly, 15 three alternative soil conditions were examined, namely, rock, stabilized soil and Hostun sand. 16Discrepancies in the order of 3-13% were observed between the identified and the numerically 17 predicted natural frequencies. These discrepancies highlight the importance of reliable 18
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.