As an important part of the traffic infrastructure, the bridge has attracted much attention for its health conditions. Bridge damage detection is an important way of evaluating bridge health conditions. However, the bridge damage could not be directly expressed by traditional bridge damage detection methods. With the emergence of new technologies and engineering applications, it is possible to achieve visual expression of bridge damages, improve the digitization of bridge detection, and promote sustainable development in bridge maintenance. In this paper, a method of bridge damage visualization based on image processing technology and the IFC standard description is proposed for common bridge damages. An existing cable-stayed bridge is taken as the engineering background, and the collected damage images are processed and analyzed utilizing cutting-edge technology to obtain specific damage information such as the length and width of bridge cracks and concrete defects. Then based on the IFC standard, the bridge damage and its attribute information are visualized and stored through an established REVIT model of the bridge.

With the development of bridge structures towards being light weight and having a large span , the overall flexibility, and, hence, wind sensitivity, of the bridge increases. Flutter is one of the pivotal factors considered in the design and operation stage for long-span cable-stayed bridges due to its devastating impact, often intrigued by relatively low instability caused by wind speed. This paper presents a reliability theory-based numerical analysis on bridge flutter stability and its influence law of key parameters using a real bridge, the Xiangshan Harbor highway cable-stayed bridge in China. The analysis starts with creating a full scale of finite element model for the bridge in service to calculate the flutter derivative and time-dominated combining rational function in order to obtain the critical-flutter wind speed, and then the aerodynamic self-excited forces on the bridge and flutter time-history response are calculated to identify the flutter critical wind speed. Further, the influence of key parameters for flutter reliability, including the stiffness of the main girder, wire breaking rate, damping ratio and cable breakage location are analyzed comprehensively to achieve the change law of critical flutter wind speed with these parameters. Considering the uncertainty of the actual parameters, these parameters are taken as random variables, and the reliability index and failure probability of bridge flutter are calculated according to their probability distribution and the Latin hypercube sampling method. On this basis, a few suggestions are put forward for flutter risk-control during the service of this cable-stayed bridge, which can further enhance the design theory for long-span flexible bridges.