摘要
本文利用数字图像相关法测试了两座模型桥梁的位移时程曲线,同时根据测试的位移时程曲线计算了结构的频域曲线。在环境激励和人工激励下,利用传统接触式速度传感器对测试结果进行了对比分析。环境激励下,基于数字图像技术的位移时程曲线测试精确度不足,无法识别结构的自振频率。人工激励下,基于数字图像技术的位移时程曲线测试准确,识别的结构自振频率与传统接触式速度传感器测试结果一致。基于数字图像相关法的结构自振频率识别,在较大幅值振动测试中优势明显,实际柔性结构的适用性测试还需要进一步研究。
The time history curves of two bridge models displacement are tested used digital image correlation method. The frequency domain curves are calculated by fast fourier transform algorithm based on the time history curves of displacement. The test results are compared with the contact speed sensor results under ambient excitation and artificial excitation. Under ambient excitation, the accuracy of displaeementeurve is poor and the frequency of the bridge model is not identified. Under artificial excitation, the frequency of the bridge model can be precisely identified and the value of frequency is consistent with the test value obtained by contact speed sensor. The frequency identification based on digital image correlation method has a clear advantage in large-amplitude vibration. The application effect on actual bridges will be further discussed.
出处
《工程抗震与加固改造》
北大核心
2015年第3期49-54,共6页
Earthquake Resistant Engineering and Retrofitting
