基于磁感应链的钢筋混凝土应力状态检测方法研究

Research on Stress State Detection Method of Reinforced Concrete Based on Magnetic Induction Chain

钢筋混凝土结构的应力状态是评估其安全性能与健康状况的核心指标。传统应力检测方法存在局限性, 如仅能测量相对应力、难以深入材料内部探测, 或在役结构预应力无法直接测量。针对现有技术的不足, 本文提出了一种基于磁感应链的新型钢筋混凝土应力状态检测方法。该方法通过在混凝土表面布置外加磁场装置与霍尔传感器, 利用磁场渗透磁化内部钢筋并形成磁感应链, 结合远程磁场测量技术监测磁场变化, 实现对钢筋应力状态的实时、非破坏性检测。通过建立力磁耦合关系的数学模型, 解析磁感应强度变化与应力之间的关联, 从而量化评估结构应力状态。进一步地, 通过实验结构与待测结构的磁感应强度对比标定法, 可间接推导在役结构中的预应力水平。研究结果表明, 该方法具有灵敏度高、可靠性强、易于数字化输出等优势, 能够有效克服传统方法的材料分散性问题, 直观展示钢筋在不同应力状态下的变化, 为实时、准确的结构检测提供了新途径。

The stress state of reinforced concrete structures is a core indicator for evaluating their safety performance and health status. Traditional stress detection methods have limitations, such as being able to measure only relative stress, being difficult to detect deep inside materials, or being unable to directly measure the prestress of in-service structures. In view of the deficiencies of the existing technology, this paper proposes a new method for detecting the stress state of reinforced concrete based on magnetic induction chain. This method uses an external magnetic field device and Hall sensors on the concrete surface to penetrate and magnetize the internal steel bars using magnetic fields, forming a magnetic induction chain. Combined with remote magnetic field measurement technology, it monitors magnetic field changes to achieve real-time, non-destructive detection of the stress state of the steel bars. By establishing a mathematical model of the force-magnetic coupling relationship, the correlation between changes in magnetic induction intensity and stress is analyzed, allowing for quantitative assessment of the structural stress state. Furthermore, the prestress level in the in-service structure can be indirectly deduced by comparing the magnetic induction intensity between the experimental structure and the structure to be tested using a calibration method. The research results show that this method has the advantages of high sensitivity, strong reliability, and easy digital output, and can effectively overcome the material dispersion problem of traditional methods, visually display the changes of steel bars under different stress states, and provide a new approach for real-time and accurate structural detection.