【摘要】 建立锚杆–围岩结构系统低应变纵向动力响应的数学力学模型,为研究锚杆结构系统的无损探伤原理及方法提供理论依据。通过理论研究、实验室模型试验和数值模拟试验等技术,研究不同损伤锚杆应力波的传播规律、特性。锚杆系统动力参数的变化可准确反映锚杆的损伤程度,而动力参数的识别是衡量锚杆锚固质量的一条途径,同时提出一种对锚杆–围岩结构系统进行参数反演的遗传算法。利用现代信号分析理论,通过神经网络等现代人工智能手段,探讨锚杆系统损伤位置的确定方法和锚杆–围岩结构系统的识别方法,提出一种锚杆锚固质量定量分析的方法,建立锚杆系统无损探伤的智能诊断系统,并进行现场测试应用。更多还原

【Abstract】 The low strain longitudinal dynamic model of anchor bars-surrounding rock system under impulse force is established.The model is essential to nondestructive detection of anchorage system quality.Through theoretical study,model experiment and numerical simulation,the characteristics of dynamic response with different defects in the anchor bars are studied.In dynamic analysis,the variations of dynamic parameters reflect the damaged degree of anchorage system and dynamic parameters are the vital reference of the anchorage quality.The simplified models of anchorage system with different damage conditions are constructed in laboratory;and a new approach which uses genetic algorithm is employed to solve the problem of multi-parameter inversion for anchorage system in dynamic testing.By modern signal processing and artificial intelligent methods,the method of fixing defect position and structure identification of anchorage system are researched.Meanwhile,a quantitative assessment method of anchoring quality is put forward;and an intelligent diagnosis system for nondestructive evaluation of anchorage system is established and applied to field engineering.更多还原