【摘要】 基于损伤桥梁在移动车辆荷载下的动态响应特点以及提升小波变换在奇异性检测方面的优越性能,提出了对不同大小移动车辆荷载作用下的单点桥梁加速度响应差值进行提升小波变换,通过提升小波系数峰值识别桥梁损伤的不依赖无损模型的损伤检测方法。数值分析表明,该方法可以有效识别不同程度、不同位置和多处桥梁损伤。其次,讨论了不同测点位置、荷载速度、噪声水平对损伤识别效果的影响,表明该方法具有较好的抗噪性;测点距离损伤位置越近,损伤识别效果越好;当荷载速度过大时,损伤信息易被淹没,损伤效果变差。更多还原

【Abstract】 Based on the characteristics of dynamic response of damaged bridges under moving vehicle loads and the superior performance of the lifting wavelet transform in the field of singularity detection,this paper proposes a damage detection method without dependence on lossless model,which applies lifting wavelet transform on bridge acceleration difference under different sizes of moving vehicle loads and then identifies the bridge damage through lifting wavelet coefficients.The numerical analysis shows that the method can effectively identify the different degrees,different positions and multiple bridge damages.Secondly,the effects of different measurement points,load speed and noise level on the damage identification results are discussed.The results show that the method has good noise immunity.The smaller the distance between the measuring points and the damage position,the better the damage identification effect.When the load velocity is too large(v=8 m/s),the damage information is easy to be submerged,and the damage effect becomes worse.更多还原