Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures

Nguyễn, Việt Hà; Mahowald, Jean; Maas, Stefan; Golinval, Jean‐Claude

doi:10.1155/2014/872492

Cited by 16 publications

(10 citation statements)

References 12 publications

(10 reference statements)

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“…The method is implemented on a number of case studies including the Ricciolo viaduct, a bridge over the Swiss motorway A2, where data during construction serve as data of “anomalous behavior.” The results indicate superiority of combined methods in robustness and speed of identification. Nguyen et al implemented a principal component analysis‐based damage identification technique for feature extraction, coupled with the concept of subspace angle for detection of irregularities, demonstrated on the Champangshiehl bridge, a two‐span concrete box girder bridge located in Luxembourg.…”

Section: Recent Progress On Damage Identification Methods For Beam Brmentioning

confidence: 99%

Recent progress and future trends on damage identification methods for bridge structures

Chatzi

Sim

et al. 2019

Struct Control Health Monit

214

112

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Summary Damage identification forms a key objective in structural health monitoring. Several state‐of‐the‐art review papers regarding progress in this field up to 2011 have been published. This paper summarizes the recent progress between 2011 and 2017 in the area of damage identification methods for bridge structures. This paper is organized based on the classification of bridge infrastructure in terms of fundamental structural systems, namely, beam bridges, truss bridges, arch bridges, cable‐stayed bridges, and suspension bridges. The overview includes theoretical developments, enhanced simulation attempts, laboratory‐scale implementations, full‐scale validation, and the summary for each type of bridges. Based on the offered review, some challenges, suggestions, and future trends in damage identification are proposed. The work can be served as a basis for both academics and practitioners, who seek to implement damage identification methods in next‐generation structural health monitoring systems.

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Section: Recent Progress On Damage Identification Methods For Beam Brmentioning

confidence: 99%

Recent progress and future trends on damage identification methods for bridge structures

Chatzi

Sim

et al. 2019

Struct Control Health Monit

214

112

View full text Add to dashboard Cite

show abstract

“…Based on sampling theory (Nyquist theory), the sample frequency is set as 200 Hz, which can satisfy with the requirements. e whole vibration test system, mainly consisted of accelerometers and the SVSA data acquisition instrument, is presented as Figure 3 relative indexes is obtained with an appropriate timefrequency analysis method after preprocessing the data [25,26]. e classic Fourier transform (FFT) method was adopted in this data processing.…”

Section: Measuring Instrumentationmentioning

confidence: 99%

Subway‐Induced Vibration Measurement and Evaluation of the Structure on a Construction Site at Curved Section of Metro Line

Shi

Bai

Han

2018

Shock and Vibration

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Metro property buildings developed rapidly in metropolitan cities over last several years in China. The subway-induced vibration, which may influence the serviceability of the buildings and the comfortability of their occupants over or near the metro lines, has been paid more and more attention by professional and academic experts. Based on the vibration measurement data of a construction site over Shenzhen Metro line No. 1, this paper utilizes the reasonable and completed data processing method to handle and analyse the measured data. Through the analysis of the data, the subway-induced vibration propagation trend of free field along the perpendicular direction to metro line was investigated. It is demonstrated that the subway-induced vibration propagation along the perpendicular direction to metro line was damped out on free field as a whole. But there may exist “rebound phenomenon” at local zones. The responses on pile top and soil adjacent to pile in the vertical shaft along three directions were investigated, and their characteristics in time and frequency domains are compared. Comparison indicates that the subway-induced vibration on pile top is stronger than soil site near the pile. The measurement results on free field reveal that the most obvious feature of this metro line with curved section is that the vibration along the perpendicular direction is stronger than the other directions. But the measurement results in the vertical shaft show that the vertical vibration mainly transferring through the pile and pile’s vibration in the vertical direction is dominant. Finally, the dynamic time-history analysis of the building model under the measured acceleration was conducted. The analytical results show that the vibration response of two evaluation indicators increases with the decrease of damping ratio along all three directions. The vertical vibration is more dominant than other two directions at each floor of building. The vibration levels decrease with the increase of story number along vertical direction and firstly decrease and then increase with the increase of story number increasing along two lateral directions.

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“…Reynders et al introduce an improved technique based on kernel principal component analysis. Nguyen et al suggest a time domain approach to PCA for identifying damage on a bridge in Luxemburg, as well as a frequency domain approach to PCA, which exploits availability of mode shapes and of an estimated frequency response function, for localization of damage. Hoell and Omenzetter perform damage detection by applying PCA on the partial autocorrelation coefficients of acceleration response records obtained in the healthy and damaged states.…”

Section: Introductionmentioning

confidence: 99%

On the use of mode shape curvatures for damage localization under varying environmental conditions

Shokrani

Dertimanis

Chatzi

et al. 2018

Struct Control Health Monit

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SummaryA novel damage localization method is introduced in this study, which exploits mode shape curvatures as damage features, while accounting for operational variability. The developed framework operates in an output-only regime,that is, it does not assume availability of records from the influencing environmental/operational quantities but rather from response quantities alone. The introduced tool comprises 3 stages pertaining to training, validation, and diagnostics. During the training stage, a representation of the healthy, or baseline, structural state is acquired over varying operational conditions. A data matrix is formulated, whose individual columns correspond to mode shape curvatures at distinct operational conditions, and principal component analysis (PCA) is applied for extraction of the imprints of separate operational sources on these curvatures. To this end, a residual matrix between the original and the PCA mapped data is formed serving for statistical characterization of each mode.Subsequently, during the validation and diagnostics stages, the mode shape curvature matrices for the currently inspected structural state are assembled and the same PCA mapping is enforced. A typical hypothesis test and a corresponding damage index are then adopted in order to firstly detect damage, and to secondly localize damage, should this exist. The implementation of the proposed method in 2 numerical case studies confirms its effectiveness and the encouraging results suggest further investigation on operating structural systems.

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Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures

Cited by 16 publications

References 12 publications

Recent progress and future trends on damage identification methods for bridge structures

Recent progress and future trends on damage identification methods for bridge structures

Subway‐Induced Vibration Measurement and Evaluation of the Structure on a Construction Site at Curved Section of Metro Line

On the use of mode shape curvatures for damage localization under varying environmental conditions

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