Automated Post-Earthquake Damage Assessment of Instrumented Buildings

Naeim, Farzad; Hagie, Scott; Alimoradi, Arzhang; Miranda, Eduardo

doi:10.1007/1-4020-4571-9_8

Cited by 33 publications

(32 citation statements)

References 3 publications

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“…There are other potential indicators of damage that can be derived more directly from vibration data, for example evaluation of inter-storey drifts in a building derived from accelerations (Radulescu et al, 2003) is shown to correlate well with levels of earthquake-induced damage, leading to a method of probabilistic damage assessment for post-earthquake building classification (Naeim et al, 2005). Using inter-storey drifts with mass properties of a building can be used to reconstruct the hysteric behaviour (Iwan, 2003) which also correlates with damage.…”

Section: Drivers For Vibration Based Monitoringmentioning

confidence: 99%

“…VBDD methods are not limited to natural frequencies and there are several examples when dynamic performance and modal properties can be used by experienced engineers, for example to diagnose degradation of material properties and loss or change in function of supports and bearings (Wenzel and VeitEgerer, 2010), or to assist in probabilistic post-earthquake assessment (Naeim et al, 2005), but such methods do not lend themselves to automation.…”

Section: Structural Health Monitoring (Shm) Vibration Based Monitorimentioning

confidence: 99%

“…Finally, damage identification is not in fact a deterministic exercise, but considers variability of parameters and probabilities of identification (Xia et al, 2002;Naeim et al, 2005).…”

Section: Several Reviews Of Vbdd Are Available Including Comprehensimentioning

confidence: 99%

“…However numerous case studies can also be found in (Naeim et al, 2005). The main interest here has been in recording and understanding in-service performance.…”

Section: Buildingsmentioning

confidence: 99%

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Vibration-based monitoring of civil infrastructure: challenges and successes

Brownjohn

Stefano

et al. 2011

J Civil Struct Health Monit

273

132

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Structural health monitoring (SHM) is a relatively new paradigm for civil infrastructure stakeholders including operators, consultants and contractors which has in the last two decades witnessed an acceleration of academic and applied research in related areas such as sensing technology, system identification, data mining and condition assessment.SHM has a wide range of applications including, but not limited to, diagnostic and prognostic capabilities.However when it comes to practical applications, stakeholders usually need answers to basic and pragmatic questions about in-service performance, maintenance and management of a structure which the technological advances are slow to address.

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Section: Drivers For Vibration Based Monitoringmentioning

confidence: 99%

Section: Structural Health Monitoring (Shm) Vibration Based Monitorimentioning

confidence: 99%

“…Finally, damage identification is not in fact a deterministic exercise, but considers variability of parameters and probabilities of identification (Xia et al, 2002;Naeim et al, 2005).…”

Section: Several Reviews Of Vbdd Are Available Including Comprehensimentioning

confidence: 99%

“…However numerous case studies can also be found in (Naeim et al, 2005). The main interest here has been in recording and understanding in-service performance.…”

Section: Buildingsmentioning

confidence: 99%

See 2 more Smart Citations

Vibration-based monitoring of civil infrastructure: challenges and successes

Brownjohn

Stefano

et al. 2011

J Civil Struct Health Monit

273

132

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“…To take into account the scatter in DI, fragility analysis for each DS was performed utilizing cumulative lognormal distribution function [15]. Fragility curves were justified utilizing Smirnov-Kolmogorov goodness of fit test [5] with 10% level of significance [6]. Fragility curves for each DS are shown in Fig.…”

Section: Damage States and Damage Indicesmentioning

confidence: 99%

Probabilistic Performance-Based Seismic Design of Bridge Columns

Saini¹,

Vosooghi²,

Saiidi³

2014

Proceedings of the 4th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Development of fragility functions as a damage classification/prediction method for steel moment‐resisting frames using a wavelet‐based damage sensitive feature

Noh

Lignos

Nair³

et al. 2011

Earthq Engng Struct Dyn

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SUMMARYFragility functions are commonly used in performance-based earthquake engineering for predicting the damage state of a structure subjected to an earthquake. This process often involves estimating the structural damage as a function of structural response, such as the story drift ratio and the peak floor absolute acceleration. In this paper, a new framework is proposed to develop fragility functions to be used as a damage classification/prediction method for steel structures based on a wavelet-based damage sensitive feature (DSF). DSFs are often used in structural health monitoring as an indicator of the damage state of the structure, and they are easily estimated from recorded structural responses. The proposed framework for damage classification of steel structures subjected to earthquakes is demonstrated and validated with a set of numerically simulated data for a four-story steel moment-resisting frame designed based on current seismic provisions. It is shown that the damage state of the frame is predicted with less variance using the fragility functions derived from the wavelet-based DSF than it is with fragility functions derived from an alternate acceleration-based measure, the spectral acceleration at the first mode period of the structure. Therefore, the fragility functions derived from the wavelet-based DSF can be used as a probabilistic damage classification model in the field of structural health monitoring and an alternative damage prediction model in the field of performance-based earthquake engineering. Copyright

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Automated Post-Earthquake Damage Assessment of Instrumented Buildings

Cited by 33 publications

References 3 publications

Vibration-based monitoring of civil infrastructure: challenges and successes

Vibration-based monitoring of civil infrastructure: challenges and successes

Probabilistic Performance-Based Seismic Design of Bridge Columns

Development of fragility functions as a damage classification/prediction method for steel moment‐resisting frames using a wavelet‐based damage sensitive feature

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