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首页> 外文期刊>International journal of structural stability and dynamics >Bridge Surface Roughness Identification Based on Vehicle-Bridge Interaction
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Bridge Surface Roughness Identification Based on Vehicle-Bridge Interaction

机译:基于车桥交互的桥梁表面粗糙度识别

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As the surface roughness of a bridge has significant influence on the interaction between a moving vehicle and the bridge itself, it is one of the hurdles for the use of the drive-by technique in the assessment of bridges. Proper identification of the surface roughness of a bridge will help minimize the associated uncertainties and improve the accuracy of numerical simulation. This paper presents a method for estimating the surface roughness profile from the responses extracted from a vehicle instrumented with accelerometers passing on the bridge tested. By letting the vehicle run along the bridge multiple times with different added masses, an estimation of the roughness profile can be obtained based on the vehicle-bridge interaction theory. No baseline data is required. Three simplified vehicle models have been used in this study, i.e. spring-mass model, spring-damper-mass model and half-vehicle model. The feasibility and effectiveness of this method are evaluated byfinite element simulation with a simply supported bridge and a continuous bridge. The performance of this method for different levels of road surface roughness is assessed by suitable error indicators. A parametric study about the influence of vehicle and bridge parameters, measurement noise and structural damage on the identified results have been carried out.
机译:随着桥梁的表面粗糙度对移动车辆和桥梁本身之间的相互作用具有显着影响,它是在桥梁评估中使用驱动技术的障碍之一。正确识别桥的表面粗糙度将有助于最小化相关的不确定性并提高数值模拟的准确性。本文介绍了一种用于估计从通过经过测试的桥接器的加速度计提取的车辆中提取的响应的表面粗糙度曲线。通过用不同的添加质量多次沿着桥沿桥延出车辆,可以基于车辆桥接相互作用理论获得粗糙度曲线的估计。不需要基线数据。本研究已经使用了三种简化的车辆模型,即弹簧质量模型,弹簧阻尼质量模型和半载体模型。通过简单地支撑的桥梁和连续桥梁评估该方法的可行性和有效性。通过合适的误差指示器评估该方法对不同路面粗糙度水平的性能。已经进行了关于车辆和桥梁参数,测量噪声和结构损伤对所识别结果的参数研究。

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