大型复杂结构健康精准体检方法

Accurate structural testing and diagnosis are the basis for structural safety and long life service. A 'health diagnosis' technique for large-scale complex structures is proposed in this paper. First, the quantitative relationship of characteristic parameters between the regional substructure and the global structure is established. The sensitivity formulas of the substructures to structural parameters are deduced. The method for determining the critical areas of damage in large-scale structures based on the sensitivity analysis is proposed. Afterwards, a piezoelectricity based damage detection method is developed to precisely and intelligently identify the damage in the interior of concrete. This method uses statistical indicators of piezoelectric impedance to assess the damage status in the interior area of concrete structure with a long-distance and high-precision. An open magnetizing technique is established for the damage detection of steel. The aggregation and regulation equations of the C-type open-loop magnetic field in space domain is deduced. Based on this method, a C-type open-loop electromagnetic magnetization device is developed. Finally, based on substructure-based model updating, the accurate damage detection of the local critical area is used to assess the structural conditions of the global structure. The research results show that, the 'health diagnosis' technique can detects the internal micro-damage of the structure, and accurately evaluate the structural safety performance by only requiring damage detection of critical area. The proposed technique records and dynamically evaluates the safety status of large-scale structures throughout the life cycle, providing high-accuracy safety assessment for large-scale complex structures.