Real-time Prediction Method of Fatigue Life of Bridge Structure under
Digital Twin
Abstract
Aiming at the structural safety problems caused by the coupling and
randomness of factors such as the geometric characteristics, load
status, service characteristics and failure mechanism of the in-service
bridge structure in time and space, a real-time prediction method of
fatigue life of bridge structure under digital twin is proposed. Based
on the physical entity of the general bridge crane, the status
information acquisition system is used to get the current service status
information of the crane equipment, and the obtained current service
status information is combined with inherent information and historical
service information to construct a fuzzy information database, which is
clearly quantified to form twin data; based on the characteristics of
the equipment structure and the technology cycle process, the load,
strength, defect and life analysis models are determined to form a
multi-theoretical calculation model of the bridge structure through
information transmission; using the informational data of the active
service state, the multi-theoretical computational model is modified to
obtain the main factors affecting the fatigue life, and fuzzy
comprehensive evaluation theory is combined to determine the
comprehensive influence factor; the Kriging proxy model is constructed
through experimental design to obtain the response relationship between
inherent and service information and the fatigue life of the bridge
structure, and the whole life cycle process of the equipment is
reflected by completing the real-time prediction of the fatigue life of
the bridge structure in the virtual space. Taking the QD20/10t×43m×12m
general bridge crane as an example, the feasibility and applicability of
the proposed method are verified by comparison, which provides a strong
theoretical basis for the safe service and timely scrapping of the
crane.