First-Order Eigen-Perturbation Techniques for Real-Time Damage Detection of Vibrating Systems: Theory and Applications

Bhowmik, Basuraj; Tripura, Tapas; Hazra, Budhaditya; Pakrashi, Vikram

doi:10.1115/1.4044287

Cited by 61 publications

(44 citation statements)

References 148 publications

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“…(1) Calculate the failure probability of each component and determine three failure criteria of bridge system shown in Figures 2-4. (2) Based on multivariate copulas, evaluate the system reliability under different failure criteria using Equations (8), (10), and (11). The best-fitting copula function is determined using Equations (4) and (5).…”

Section: Numerical Examplementioning

confidence: 99%

“…In order to ensure the remaining service life of a bridge structure and the safety of people's lives and property, damage detection and performance evaluation of structures have developed rapidly, providing a basis and guidance for bridge maintenance and management decisions [7][8][9]. In recent years, algorithmic and mathematical methods have been widely used in structural damage detection, such as the Kalman filter and eigen perturbation theories [10,11]. However, there are many random factors in the performance evaluation of a bridge structure, such as resistance and load effects [12,13].…”

Section: Introductionmentioning

confidence: 99%

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System Reliability Evaluation of a Bridge Structure Based on Multivariate Copulas and the AHP–EW Method That Considers Multiple Failure Criteria

et al. 2020

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The system reliability evaluation of a bridge structure is a complicated problem. Previous studies have commonly used approximate estimation methods, such as the wide bounds method and the narrow bounds method, but neither could obtain an accurate result. In recent years, the copula theory has been introduced into the system reliability evaluation, which can obtain more accurate results than the approximate methods. However, most studies simply construct binary copula functions to consider the joint failure of two failure modes. For a complex bridge structure composed of multiple components and failure modes, the joint failure of multiple failure modes needs to be considered. Before evaluating the system reliability, it is necessary to determine the failure criteria of the system. Different failure criteria for simply supported beam bridges have been proposed. However, there is no standard available to determine which failure criterion to choose, and the selection of failure criteria is ambiguous. In this paper, a novel method is proposed to evaluate the system reliability of a simply supported beam bridge by considering multiple failure criteria based on multivariate copulas and the analytic hierarchy process entropy weight (AHP–EW) method. The method first considers multiple failure criteria comprehensively and constructs multivariate copulas for the joint failure of multiple components in a bridge system reliability evaluation. The AHP–EW method is a comprehensive weighting method combining the analytic hierarchy process and entropy weight methods, which is used to establish the hierarchical analysis model between system reliability and multiple failure criteria. By considering the joint failure of multiple failure modes in the system reliability evaluation under a single failure criterion, multivariate copula functions were constructed. In order to verify the applicability of the proposed bridge system reliability method, a simply supported reinforced concrete (RC) hollow slab bridge composed of nine slab segments was selected as the numerical example. The results indicate that the method proposed in this paper could evaluate the bridge system reliability more comprehensively and reasonably.

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Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

System Reliability Evaluation of a Bridge Structure Based on Multivariate Copulas and the AHP–EW Method That Considers Multiple Failure Criteria

et al. 2020

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“…Recent studies introduced computationally efficient software solutions for real time monitoring and damage detection. Bhowimk et al, [11] provided the comprehensive review about the technique for real time damage detection and monitoring using first order perturbation in term of computational efficiency. Similarly, Kalman filtering based method and their implementation is widely used for online damage detection and structural assessment [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Multimetric Event-Driven System for Long-Term Wireless Sensor Operation for SHM Applications

et al. 2020

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Wireless sensor networks (WSNs) are promising solutions for large infrastructure monitoring because of their ease of installation, computing and communication capability, and cost-effectiveness. Long-term Civil structural health monitoring (SHM), however, is still a challenge because it requires continuous data acquisition for the detection of random events such as earthquakes and structural collapse. To achieve long-term operation, it is necessary to reduce the power consumption of sensor nodes designed to capture random events and, thus, enhance structural safety. In this paper, we present an event-based sensing system design based on an ultra-low-power microcontroller with programmable event-detection mechanism to allow continuous monitoring; the device is triggered by vibration, strain, or a timer and has a programmed threshold, resulting in ultra-low-power consumption of the sensor node. Furthermore, the proposed system can be easily reconfigured to any existing wireless sensor platform to enable ultra-low power operation. For validation, the proposed system was integrated with a commercial wireless platform to allow strain, acceleration, and time-based triggering with programmed thresholds and current consumptions of 7.43 and 0.85 mA in active and inactive modes, respectively.

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“…Among the available SHM techniques, such as ultrasonic guided-waves, acoustic emission, and vibration analysis, the first one stands out due to their ability to explore large areas with relatively low attenuation [4]. Note that vibration-based methods (e.g., first-order eigen-perturbation and Kalman filter techniques [5]) provide efficient solutions for real-time SHM of very large structures, such as bridges or buildings [6]. However, ultrasonic guided-wave based techniques are generally more appropriate for the early stage detection of small damages [7].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study on Transmission Beamforming for Ultrasonic Guided-Wave Based Structural Health Monitoring

Cantero‐Chinchilla

Aranguren

Malik

et al. 2020

Sensors

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The development of reliable structural health monitoring techniques is enabling a healthy transition from preventive to condition-based maintenance, hence leading to safer and more efficient operation of different industries. Ultrasonic guided-wave based beamforming is one of the most promising techniques, which supports the monitoring of large thin-walled structures. However, beamforming has been typically applied to the post-processing stage (also known as virtual or receiver beamforming) because transmission or physical beamforming requires complex hardware configurations. This paper introduces an electronic structural health monitoring system that carries out transmission beamforming experiments by simultaneously emitting and receiving ultrasonic guided-waves using several transducers. An empirical characterization of the transmission beamforming technique for monitoring an aluminum plate is provided in this work. The high signal-to-noise ratio and accurate angular precision of the physical signal obtained in the experiments suggest that transmission beamforming can increase the reliability and robustnessof this monitoring technique for large structures and in real-world noisy environments.

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First-Order Eigen-Perturbation Techniques for Real-Time Damage Detection of Vibrating Systems: Theory and Applications

Cited by 61 publications

References 148 publications

System Reliability Evaluation of a Bridge Structure Based on Multivariate Copulas and the AHP–EW Method That Considers Multiple Failure Criteria

System Reliability Evaluation of a Bridge Structure Based on Multivariate Copulas and the AHP–EW Method That Considers Multiple Failure Criteria

Multimetric Event-Driven System for Long-Term Wireless Sensor Operation for SHM Applications

An Empirical Study on Transmission Beamforming for Ultrasonic Guided-Wave Based Structural Health Monitoring

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