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首页> 外文期刊>Journal of Constructional Steel Research >Health monitoring of a steel moment-resisting frame subjected to seismic loads
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Health monitoring of a steel moment-resisting frame subjected to seismic loads

机译:承受地震荷载的钢制抗弯框架的健康监测

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摘要

Structural health monitoring (SHM) offers the potential to evaluate the safety and integrity of the civil infrastructure. By obtaining accurate information about the condition of the structure, appropriate preventive measures can be taken to prolong the service life and prevent the catastrophic failure of the structure. Application of effective damage detection strategies can reduce the life-cycle costs as well. Damage reduces the stiffness and modifies the modal properties of a structure. Therefore, changes in modal properties can be used to detect damage in the structure. Although extensive research has been conducted on structural diagnosis by measuring the vibrational signals of structures, more research is still needed for development of reliable and effective damage detection techniques. This paper presents a study on damage detection of a 3-story steel moment-resisting frame structure instrumented by a network of wireless sensors and cable-based accelerometers. Experimental data from shake table testing and numerical results from finite element simulation were used for damage identification through two approaches. In the first approach, the finite element model of the structure was calibrated and used to locate and quantify the elemental stiffness loss on the basis of the experimentally-identified modal parameters. Moreover, a direct search algorithm was used for minimization of an objective function representing the difference between predicted and measured dynamic parameters of the structure. In the second approach, damage identification was performed through application of the Modal Assurance Criterion (MAC) and detection of the changes between undamaged and damaged conditions. Results of this study are indicative of capability and effectiveness of both approaches in identification of damage. (C) 2017 Elsevier Ltd. All rights reserved.
机译:结构健康监测(SHM)提供了评估民用基础设施安全性和完整性的潜力。通过获取有关结构状况的准确信息,可以采取适当的预防措施,以延长使用寿命并防止结构的灾难性故障。应用有效的损坏检测策略也可以减少生命周期成本。损伤会降低刚度并改变结构的模态特性。因此,模态特性的变化可用于检测结构中的损坏。尽管已经通过测量结构的振动信号对结构诊断进行了广泛的研究,但仍需要更多的研究来开发可靠和有效的损伤检测技术。本文介绍了一种由无线传感器和基于电缆的加速度计组成的网络对三层钢制抗弯框架结构进行损伤检测的研究。通过两种方法将振动台测试的实验数据和有限元模拟的数值结果用于损伤识别。在第一种方法中,对结构的有限元模型进行了校准,并根据实验确定的模态参数将其用于定位和量化单元的刚度损失。此外,直接搜索算法用于最小化表示预测的和测量的结构动态参数之间的差异的目标函数。在第二种方法中,通过应用模态保证标准(MAC)并检测未损坏状态和损坏状态之间的变化来进行损坏识别。这项研究的结果表明了两种方法在识别损害中的能力和有效性。 (C)2017 Elsevier Ltd.保留所有权利。

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