&lt;title&gt;Optimal sensor locations for structures with multiple loading conditions&lt;/title&gt;

Ettouney, Mohammed M.; Daddazio, Raymond P.; Hapij, Adam

doi:10.1117/12.348691

Cited by 3 publications

(4 citation statements)

References 2 publications

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“…A resulting inverse problem has to be solved. Natural frequencies and mode shapes are often used for assessing damage (Ettouney et al, 1999;Yang and Lee, 1999). Anti-resonance frequencies can improve the accuracy of damage predictions (Williams and Messina, 1999).…”

Section: Vdm Versus Model-updating Methodsmentioning

confidence: 99%

Two Approaches to Structural Damage Identification: Model Updating versus Soft Computing

Kołakowski

Mujica²,

Vehı́

2006

Journal of Intelligent Material Systems and Structures

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This article presents two approaches for structural damage identification, each based on a different philosophy. The virtual distortion method (VDM) is a model-updating method of damage assessment, utilizing gradient-based optimization techniques to solve the resulting inverse dynamic problem in the time domain. Case-based reasoning (CBR) is a softcomputing method utilizing wavelet transformation for signal processing and neural networks for training a base of damage cases to use for retrieving a similar relevant case. Advantages and drawbacks of each approach are discussed. Successful calibration of a numerical model from experiments has been shown as a sin equa non for the VDM approach. A numerical example of a beam is presented including a demonstration of the complexity of the inverse problem. Qualitative and quantitative comparisons between the two approaches are made.

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Section: Vdm Versus Model-updating Methodsmentioning

confidence: 99%

Two Approaches to Structural Damage Identification: Model Updating versus Soft Computing

Kołakowski

Mujica²,

Vehı́

2006

Journal of Intelligent Material Systems and Structures

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“…However, the variability of the location of the loading source has not been well investigated. We illustrate how the optimal locations of sensors (issues related to Section II) in a complex engineering structure are determined by citing Ettouney et al's paper [106]. They investigate a suspension bridge (Fig.…”

Section: A Structural Damage Monitoring and Maintenancementioning

confidence: 99%

“…These include the number and location of sensors, number of structural degrees of freedom, number of tests, and number of structural modes. Almost all of these studies assume that the location and the magnitude of damage are known a priori, before locating the sensors [106]. However, the variability of the location of the loading source has not been well investigated.…”

Section: A Structural Damage Monitoring and Maintenancementioning

confidence: 99%

See 1 more Smart Citation

Distributed Sensing for Quality and Productivity Improvements

Ding

Elsayed

Kumara

et al. 2006

IEEE Trans. Automat. Sci. Eng.

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Distributed sensing, a system-wide deployment of sensing devices, has resulted in both temporally and spatially dense data-rich environments. This new technology provides unprecedented opportunities for quality and productivity improvement. This paper discusses the state-of-the-art practice, research challenges, and future directions related to distributed sensing. The discussion includes the optimal design of distributed sensor systems, information criteria, and processing for distributed sensing and optimal decision making in distributed sensing. The discussion also provides applications based on the authors' research experiences. Note to Practitioners-This paper is based on a panel discussion on the topic of the emerging technology of distributed sensing and the associated challenges and opportunities. The panel, constituted by a group of leading researchers and practitioners with expertise in operations and statistics, convened during the Institute for Operations Research and the Management Sciences (INFORMS)2003 annual meeting in Atlanta, GA. This panel focused its discussion on the information layer technology of distributed sensing for quality and productivity improvements, which differentiates this panel from other similar panels that were formed in a different society. The panelists provided their visions about the state-of-the-art practice, research challenges, and future research directions, and also discussed potential applications based on their own experiences.Index Terms-Decision making, distributed sensor systems, quality improvement, sensor optimization.

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Engineering Structural Health

Ettouney

Alampalli

2000

Advanced Technology in Structural Engineering

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<title>Optimal sensor locations for structures with multiple loading conditions</title>

Cited by 3 publications

References 2 publications

Two Approaches to Structural Damage Identification: Model Updating versus Soft Computing

Two Approaches to Structural Damage Identification: Model Updating versus Soft Computing

Distributed Sensing for Quality and Productivity Improvements

Engineering Structural Health

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