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Damage diagnosis in bridge structures using rotation influence line: Validation on a cable-stayed bridge

机译:使用旋转影响线的桥梁结构损伤诊断:斜拉桥的验证

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This study proposes a new damage identification technique for condition assessment of bridge structures. The method is based on the concept of rotation influence line (RIL) at the bridge bearing locations, and solely relies on measurements obtained from two points at either end of the bridge e.g., RILR and RILL. The sensitivity of the rotation measurement to damage is first investigated using a 1-D simply supported beam model and it is demonstrated that unlike conventional strain measurements, the rotation measurement is capable of providing useful information about damage even though it is far from the measurement point. Further, an existing cable stayed bridge is considered to validate the capability of RIL in damage identification. A comprehensive three-dimensional finite element model (FEM) of the bridge is established and calibrated using the measured static and dynamic responses. Numerous field tests are conducted on this large-scale structure to extract static and dynamic characteristics, including natural frequencies, mode shapes and influence lines (ILs). Sixteen hypothetical damage scenarios are induced in the numerical model, including symmetric and asymmetric cases of cable loss. A damage index based on the normalised discrepancy of RIL between the benchmark state and an unknown state is introduced and through extensive investigations it is demonstrated that regardless of damage location, either RILR or RILL (or both) can successfully identify the induced damage in all of the sixteen damage scenarios. In contrast, the success of strain-based measurement is highly dependent on the closeness of damage to the sensor location, thus a much higher number of strain gauge sensors is required not to misidentify damage. The contribution of this work is four-fold. First, a novel and robust damage identification technique based on RIL is proposed which has not been reported in the literature. Second, the method solely relies on two measurement points e.g., two tilt meters at either end of the bridge and it is capable of identifying damage, even far from the sensor location. Third, the validation of the technique is demonstrated through extensive numerical and field test investigations on a statically indeterminate cable-stayed bridge structure. Finally, it is demonstrated that the conventional strain-based measurement is very likely to misidentify cable damage even with extreme case of cable loss.
机译:这项研究提出了一种新的损伤识别技术,用于桥梁结构状态评估。该方法基于桥梁支座位置处的旋转影响线(RIL)的概念,并且仅依赖于从桥梁任一端的两个点(例如RILR和RILL)获得的测量值。首先使用一维简支梁模型研究了旋转测量对损伤的敏感性,并且证明了与传统的应变测量不同,即使旋转测量距离测量点很远,旋转测量也能够提供有关损伤​​的有用信息。此外,考虑使用现有的斜拉桥来验证RIL在损坏识别中的能力。建立桥梁的综合三维有限元模型(FEM),并使用测得的静态和动态响应进行校准。在这种大型结构上进行了大量的现场测试,以提取静态和动态特性,包括固有频率,振型和影响线(IL)。在数值模型中引发了十六种假设的损坏情况,包括电缆损耗的对称和不对称情况。引入了基于基准状态和未知状态之间的RIL标准化差异的损坏指数,并且通过广泛的研究表明,无论损坏位置如何,RILR或RILL(或两者)都可以成功地识别出所有十六种破坏情景。相反,基于应变的测量的成功高度取决于对传感器位置的损坏程度,因此需要更多数量的应变仪传感器才能正确识别损坏。这项工作的贡献有四个方面。首先,提出了一种基于RIL的新颖而强大的损伤识别技术,该技术尚未在文献中报道。其次,该方法仅依靠两个测量点,例如,在桥的任一端的两个倾斜仪,并且即使在远离传感器位置的情况下也能够识别损坏。第三,通过对超静定斜拉桥结构的广泛数值和现场测试研究,证明了该技术的有效性。最后,证明了即使在极端的电缆损耗情况下,传统的基于应变的测量也很可能会错误地识别电缆损坏。

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