Structural Health Monitoring System for Remote Inspection of Material Failure

Okayasu, Mitsuhiro; Yamasaki, Toshiki

doi:10.1007/s10921-019-0592-7

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…Vibration-based SHM techniques ( Barthorpe and Worden 2020 ; Cawley 2018 ; Erazo et al, 2019 ; Gatti 2019 ; Okayasu and Yamasaki 2019 ) offer viable options for tracking damages in the structures based on the measured data. Existing damage identification techniques involve analysis in time domain, frequency domain, and time–frequency (TF) domain ( Sirca and Adeli 2012 ) along with various artificial intelligence techniques ( Salehi and Burgueno 2018 ; Sony et al, 2020 ; Ying et al, 2012 ).…”

Section: Introductionmentioning

confidence: 99%

Multivariate empirical mode decomposition–based structural damage localization using limited sensors

Sony

Sadhu

2021

Journal of Vibration and Control

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In this article, multivariate empirical mode decomposition is proposed for damage localization in structures using limited measurements. Multivariate empirical mode decomposition is first used to decompose the acceleration responses into their mono-component modal responses. The major contributing modal responses are then used to evaluate the modal energy for the respective modes. A damage localization feature is proposed by calculating the percentage difference in the modal energies of damaged and undamaged structures, followed by the determination of the threshold value of the feature. The feature of the specific sensor location exceeding the threshold value is finally used to identify the location of structural damage. The proposed method is validated using a suite of numerical and full-scale studies. The validation is further explored using various limited measurement cases for evaluating the feasibility of using a fewer number of sensors to enable cost-effective structural health monitoring. The results show the capability of the proposed method in identifying as minimal as 2% change in global modal parameters of structures, outperforming the existing time–frequency methods to delineate such minor global damage.

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Section: Introductionmentioning

confidence: 99%

Multivariate empirical mode decomposition–based structural damage localization using limited sensors

Sony

Sadhu

2021

Journal of Vibration and Control

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“…As one of the most effective ways to improve structural safety and to extend service life, SHM systems have been widely applied to many infrastructures, such as bridges, high-rise buildings, and water conservation projects [1][2][3][4][5][6][7][8][9][10][11][12]. However, due to the long-time service and natural and man-made disasters, different types of ancient buildings show different types and extent of diseases.…”

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings

Jiang

Qiao

et al. 2019

Sensors

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Due to the long-term service, Chinese ancient timber buildings show varying degrees of wear. Thus, structural health monitoring (SHM) for these cultural and historical treasures is desperately needed to evaluate the service status. Although there are some FBG sensing-based SHM systems, they are not suitable for Chinese ancient timber buildings due to the differences in architectural types, structural loads, materials, and environment. Besides, a technical gap in Fiber Bragg grating (FBG) sensing-based column inclination monitoring exists. To overcome these weaknesses, this paper develops an FBG sensing-based structural health monitoring system for Chinese ancient Chuan-dou-type timber buildings that aims at monitoring structural deformation, i.e., beam deflection and column inclination, temperature, humidity, and fire around the building. An in-situ test and simulation analyses were conducted to verify the effectiveness of the developed SHM system. To validate the long-term-operation of the developed SHM system, monitoring data within 15 months were analyzed. The results show good agreement between the developed SHM system in this paper and other methods. In addition, the SHM system operated well in the first year after its deployment. This implies that the developed SHM system is applicable and effective in the health state monitoring of Chinese ancient Chuan-dou-type timber buildings, laying a foundation for damage prognosis of such types of timber buildings.

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Internal Pressure Monitoring in a Post-tensioned Containment Building Using Operational Vibration

et al. 2020

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Structural Health Monitoring System for Remote Inspection of Material Failure

Cited by 9 publications

References 16 publications

Multivariate empirical mode decomposition–based structural damage localization using limited sensors

Multivariate empirical mode decomposition–based structural damage localization using limited sensors

Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings

Internal Pressure Monitoring in a Post-tensioned Containment Building Using Operational Vibration

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