Abstract:To study the quality control approaches for steel-concrete composite bridges, an interpretive structural modeling (ISM) of quality is established from the aspects of bridge components, construction, loads and environment to systematically reveal the logical correlation among various factors and to identify the surface, middle and deep factors affecting bridge quality. Combined with the driving force and dependency of the quality factors of in-service bridges, the cross-impact matrix multiplication applied to classification (MICMAC) is used to analyze the autonomous, dependency and independent factors of in-service bridge quality. And the results of the both are validated and compared. The results show that the driving boundary between middle-level and deep-level factors is not clear enough, and the correlation between key factors and other factors is weak, resulting in insufficient driving force. Both factors can independently affect the quality of in-service bridges from each respective dimension. Therefore, for the quality control of in-service bridges, it is necessary to take quality prevention and control measures for both deep-level and middle-level factors as key factors to improve the durability and safety of bridge service.