Intelligent Analysis for Safety-Influencing Factors of Prestressed Steel Structures Based on Digital Twins and Random Forest

Abstract

The structure of a prestressed steel structure is complex, which can result in insufficient control accuracy and the low efficiency of the structural safety. The traditional analysis method only obtains the mechanical parameters of the structure and it cannot obtain the key factors that affect the structural safety. In order to improve the intelligence level of the structural safety performance analysis, this study proposes an intelligent analysis for the safety-influencing factors of prestressed steel structures that is based on digital twins (DTs) and random forest (RF). Firstly, the high-precision twin modeling is carried out by the weighted average method. The design parameters and the mechanical parameters of the structure are extracted in real time in the twin model, and the parameters are classified by the RF. The fusion mechanism of the DTs and RF is formed, and the intelligent analysis model of the structural safety factors is established. Driven by the analysis model, the correlation mechanism between the design parameters and the mechanical parameters is formed. The safety state of the structure is judged by the mechanical parameters, and the key design parameters that affect the various mechanical parameters are analyzed. Through the integration of the design parameters and mechanical parameters, the intelligent analysis process of the safety-influencing factors of prestressed steel structures is formed. Finally, an intelligent analysis of the importance of the safety-influencing factors is carried out with the string-supported beam structure as the test object. Driven by the integration of DTs and RF, the key design parameters that affect the various mechanical parameters are accurately obtained, which provides a basis for the intelligent control of the structural safety.

Modelling, Test and Practice of Steel Structures

“…Four papers focused on the structural behaviors, which presented investigations on the stability behaviors of a large-span spatial grid arch structure [13], the fatigue performance of a long-span steel truss arched bridge [14,15], and the structural safety performance of prestressed steel structures [16].…”

Key Component Capture and Safety Intelligent Analysis of Beam String Structure Based on Digital Twins

“…Time-varying Simulation of Structure Solution Domain [27] In the construction process, the geometry and mechanical properties of the structure are constantly changing. The solution area of the analysis object increases or decreases with time.…”

Characterizing the Digital Twin in Structural Mechanics

“…Kokkonen et al [16] discuss the Digital Twin in the context of the robust and lightweight design of a fatigue-critical welded structure with measured misalignments. Zhu and Wang discuss another aspect of the Digital Twin in the context of design aspects [17] using the example of prestressed steel structures, employing Digital Twins and random forests using the string-supported beam structure as a test object. This approach determines key design parameters affecting mechanical parameters, laying the foundation for intelligent control of structural safety.…”