移动车载识别的两种解法及其试验验证

Experimental validation on two solutions to moving vehicle-axle load identification

大多数移动车载识别方法最终转化为线性方程组 ,其不同的求解方法往往给出不同的识别精度。利用频时域法由桥梁响应识别桥面移动车载 ,重点比较了伪逆解法和奇异值解法的识别结果 ,并讨论了几个主要参数对识别结果的影响。结果表明 ,使用奇异值解法能够明显提高频时域法的识别精度。

Most of identification methods are eventually converted to a linear algebraic equation set. Different ways to solve the equation set will result in solutions with completely different levels of accuracy. Based on the frequency time domain method (FTDM),the moving vehicle axle loads are identified from the measured responses induced by the vehicles crossing a bridge.The focus is on evaluation of two solutions,i.e.,direct calculation of pseudo inverse (PI) and calculation of pseudo inverse via the singular value decomposition (SVD) technique,to the equation set established in the FTDM.The effects of various parameters on identified results also are discussed.Assessment results show that the SVD technique can obviously improve identification accuracy as compared to the PI solution.