Structural Health Monitoring Studies of the Alamosa Canyon and I-40 Bridges

Farrar, Charles R.; Cornwell, Phillip; Doebling, Scott W.; Prime, Michael B.

doi:10.2172/766805

Cited by 39 publications

(9 citation statements)

References 30 publications

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“…In addition to the features themselves, the importance of incorporating statistical analysis in extracting a particular feature or in using a particular approach has been demonstrated, for example as in [17][18][19]. These latter studies have revealed the importance of understanding the statistical foundations inherent in measuring or calculating features, particularly under varying environmental conditions but the same structural health condition, with regard to making informed engineering judgments regarding damage or structural health.…”

Section: Introductionmentioning

confidence: 99%

Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

Todd

Nichols

Pecora

et al. 2001

Smart Mater. Struct.

119

108

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A novel feature extracted from a nonlinear time series is presented within the context of vibration-based damage detection in a system. An eight-degree-of-freedom spring-mass-damper 'structure' is considered with damage incurred by a stiffness degradation in one spring. The system is excited with a chaotic input, and by tuning the Lyapunov exponents of the chaotic excitation to the dominant eigenvalue of the structure the dimensionality of the entire system is effectively controlled. Both the input and output are viewed in state space as geometric objects, and the effect of the damage is shown to alter the geometric properties of the corresponding attractors at a local level, which may be captured in construction of the feature. The utility of the feature is compared with that of a number of modal-based features and shown to be superior in resolving capability and in robustness.

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Section: Introductionmentioning

confidence: 99%

Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

Todd

Nichols

Pecora

et al. 2001

Smart Mater. Struct.

119

108

View full text Add to dashboard Cite

show abstract

“…Before the test, a traditional data acquisition system was used to measure the data for comparison purpose. The test procedure was essentially the same as the one performed previously [18], and briefly described below. The data acquisition system was set up to measure acceleration and force time histories and to calculate frequency response and coherence functions.…”

Section: Low-frequency Vibration Acquisition Test Using Widaqmentioning

confidence: 99%

“…A total of 20 acceleration measurements were made on the girders below the bridge and at the excitation point, which was located on the top of the concrete deck. The experimental procedure, sensor locations and the excitation point can be found in [18].…”

Section: Low-frequency Vibration Acquisition Test Using Widaqmentioning

confidence: 99%

A mobile-agent-based wireless sensing network for structural monitoring applications

Taylor¹,

Farinholt²,

Flynn³

et al. 2009

Meas. Sci. Technol.

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A new wireless sensing network paradigm is presented for structural monitoring applications. In this approach, both power and data interrogation commands are conveyed via a mobile agent that is sent to sensor nodes to perform intended interrogations, which can alleviate several limitations of the traditional sensing networks. Furthermore, the mobile agent provides computational power to make near real-time assessments on the structural conditions. This paper will discuss such prototype systems, which are used to interrogate impedance-based sensors for structural health monitoring applications. Our wireless sensor node is specifically designed to accept various energy sources, including wireless energy transmission, and to be wirelessly triggered on an as-needed basis by the mobile agent or other sensor nodes. The capabilities of this proposed sensing network paradigm are demonstrated in the laboratory and the field.

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“…The experimental campaign includes forced and ambient tests under varying temperature and different loading conditions, but it is limited to few testing days. Another case study is the Alamosa Canyon Bridge [3] in the United States, where vibration-based experiments are conducted to investigate the effect of temperature gradients across the bridge over a 24 h time window. The Z24 Bridge in Switzerland [4,5] might be the most comprehensive case study; it is a post-tensioned concrete box-girder bridge with a main span of 30 m and two side spans of 14 m. The applied damage scenarios include a gradual settlement of the pier (by 20, 40, 80, and 95 mm) as well as a foundation tilt, concrete spalling (affecting an area of 12 and 24 m 2 ), a simulated landslide, the failure of tendon anchors (2 and 4 anchor heads), and the rupture of tendons (2, 4, and 6 out of 16).…”

Section: Introductionmentioning

confidence: 99%

Developing a benchmark study for bridge monitoring

Jaelani,

Klemm,

Wimmer

et al. 2023

Steel Construction

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Structural health monitoring is the process of implementing a continuous damage detection strategy to optimize the inspection and maintenance schedules of bridges, and extend their lifespans. One of the main challenges of automated damage detection is the lack of data on damaged states, which makes it difficult to validate new approaches in the research and development stage. To alleviate this problem, a monitoring campaign on a two‐span test bridge with defined defects is conducted and documented in this article. The bridge is a steel‐concrete composite structure with a length of 30 m, with two primary steel girders and a segmented concrete deck. The recorded data capture the long‐term ambient data from 18 test days and changing environmental conditions, as well as the short‐term ambient data and dynamic load tests from four damage scenarios with well‐defined damage extents. A mobile measurement system with numerous sensors is used for data acquisition. A shaker is placed on the bridge to excite white noise. The main goal of this article is to document the experimental procedure and perform preliminary plausibility checks on the measured data. First results demonstrate that system response data and environmental conditions are recorded reliably and that environmental effects significantly affect the long‐term measurements. Therefore, a suitable data set is provided as open‐source data for future studies on data normalization and automated damage detection.

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Structural Health Monitoring Studies of the Alamosa Canyon and I-40 Bridges

Cited by 39 publications

References 30 publications

Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

Vibration-based damage assessment utilizing state space geometry changes: local attractor variance ratio

A mobile-agent-based wireless sensing network for structural monitoring applications

Developing a benchmark study for bridge monitoring

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