对超声-回弹综合法和钻芯法检测结构混凝土强度的原理、优点及其局限性进行了对比分析,阐述了将超声-回弹综合法和钻芯取样技术进行联合测强对于大体积混凝土强度检测的重要意义。在此基础上将BP神经网络技术引入到超声-回弹-钻芯综合法中,用以确定最优钻芯数量,并将所得结果与传统基于数理统计理论的分析结果进行了比较。结果表明:超声-回弹-钻芯综合法费用合理、损伤较小,与BP神经网络技术结合后进一步提高了其分析精度,可在各类大体积混凝土工程结构的强度检测中推广应用。
Comparison analyses were conducted on the principles, excellences and limitations of ultrasonic rebound synthetic method and core-drilling technique for strength testing of large-scale concrete structures, and the significance of (URCDSM) on large-scale concrete streng ultrasonic-rebound and core-drilling synthetic method th testing was pointed out. The BP neural network technology was then introduced and was used to determine the optimal core-drilling number in the URCDSM. The results from calculation were compared with results from statistic methods Results show that the proposed URCDSM has low expenses and little damage, and the BP neural network technology can further increase the analysis accuracy, so the method can be popularized in large-scale concrete structures.