摘要
为了有效降低不确定性因素对结构损伤识别结果的影响,提出了一种基于模糊推理系统的损伤识别方法。该方法以结构的前四阶频率变化率为损伤识别参数,以单元的损伤状态(轻微、中度、严重损伤等)为输出参数。通过在原始数据中添加高斯白噪声来模拟不确定因素的影响,简支梁桥的数值模拟分析验证了该方法用于桥梁结构损伤识别的有效性。结果表明,该方法的抗噪水平达到10%以上。
In order to effectively reduce the influence of uncertainties, a damage identification method based on fuzzy logic system is proposed in this paper. The input measurements are the first four frequencies ratios, the process consists of fuzzification, fuzzy inference and deffuzzifica- tion, and the outputs are the damage condition of elements. The Gaussian white noise is added into the raw data to simulate the effect of uncertainties. One numerical example analyses on a simply supported bridge is presented to demonstrate the effectiveness of the method. The results show that the anti-noise level is over 10%.
出处
《工程与试验》
2013年第3期9-13,83,共6页
Engineering and Test
关键词
桥梁工程
损伤识别
模糊推理
模态频率
抗噪分析
bridge engineering
damage identification
fuzzy logic inference
modal frequency
anti-noise analysis
