The safety of prestressed steel structures in service has been studied widely. However, traditional safety assessment methods for\nprestressed steel structures involve few sample points, do not provide accurate predictions, and consume substantial human and\nmaterial resources. The digital twin technology can be used to monitor the structural behavior, state, and activity of a steel\nstructure throughout its life cycle, which is equivalent to performing a safety assessment of the structure. The purpose of this study\nis to establish a digital twin multidimensional model of prestressed steel structures. Based on this model, the support vector\nmachine and prediction model are trained using the relevant structural history data, and the safety risk level of the structure is then\npredicted based on the measured data. Finally, a proportional reduction model of the wheel-spoke cable truss structure is used to\nverify the feasibility of the proposed method. The results show that digital twin technology can achieve real-time monitoring of\nprestressed steel structures in use and can provide timely predictions of the safety level. This represents a new method for the safety\nrisk assessment of prestressed steel structures.
Loading....