Digital Technology-Driven Improvement of Crack Resistance of Reinforced Concrete Structures: Parametric Modeling and Finite Element Analysis Empirical Study
Abstract
While reinforced concrete offers wide applicability and low cost, cracking remains a critical factor impairing its durability, a challenge that can be addressed by optimizing reinforcement configuration and digital structural modeling to inhibit crack propagation. The rapid advancement of digital technology provides a novel approach to optimizing the spatial distribution of these reinforcement parameters, ensuring a more resilient and durable composite structure. Focusing on digital technology-driven enhancement of the crack resistance of reinforced concrete structures, this study systematically explores the application mechanisms and empirical effects of parametric modeling and finite element analysis in this field. Firstly, it summarizes the cracking mechanisms of reinforced concrete structures and the current state of digital technology applications. Secondly, a parametric modeling framework for reinforced concrete structures based on Python+Grasshopper is established, clarifying the correlation between key design parameters and crack resistance. Thirdly, using ABAQUS finite element analysis software, a refined finite element model considering material nonlinearity and interface bond-slip is developed to conduct numerical simulations of crack resistance. Finally, the reliability of parametric modeling and finite element analysis is verified through typical component tests, and an optimization scheme for crack resistance based on digital technology is proposed. The results indicate that parametric modeling enables efficient iteration and precise control of design parameters for reinforced concrete structures integrated with optimized reinforcement configurations, while finite element analysis can accurately predict how material and interface parameters influence the initiation and propagation laws of structural cracks. When paired with electromagnetic or other nondestructive inspection data, the parametric model may further support structural damage assessment.