回弹法检测曲线拟合精度研究及提高精度措施

Study on fitting accuracy of rebound detection curve and measures to raise accuracy

比较研究了混凝土无损检测中的三种常用测强曲线的拟合精度,在此基础上,提出了分段函数拟合,人工神经网络算法等提高曲线拟合精度的一些方法和措施,以得到正确的测试结果。

Fitting accuracies of three common strength-measurement curves in nondestructive diction of concrete are comparatively studied.Based upon this subsection function fitting,artificial neural network algorithm and other methods are proposed to raise fitting accuracy in order to reduce error to obtain correct test results.