Analytical models for assessment of the safety of multi-span steel beams based on average strains from long gage optic sensors

Park, Hyo Seon; Jung, Sang Min; Lee, Hong Min; Kwon, Yong Hwan; Seo, Ji Hyun

doi:10.1016/j.sna.2007.01.015

Cited by 24 publications

(22 citation statements)

References 10 publications

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“…Researches on structural health monitoring for various structures, including machinery, civil structures, and buildings, have been actively carried out (Park et al., ; Boller, ; Sanayei et al., ; Park et al., ) to ensure the safety of these structures. The safety of a structure is assessed by identifying the state of the structure after installing sensors to measure its responses (Adeli and Saleh, , ; Hampshire and Adeli, ; Park et al., ; Jiang and Adeli, , b; Fisco and Adeli, , b; Lee and Park, ; El‐Khoury and Adeli, ; Lee et al., ; Park et al., ). However, it is difficult to identify the global behaviors of a structure using the measured responses with a limited number of sensors deployed at a structure.…”

Section: Introductionmentioning

confidence: 99%

Model Updating Technique Based on Modal Participation Factors for Beam Structures

Kim

et al. 2015

Computer aided Civil Eng

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This article proposes a model updating technique based on modal participation factors for a beam structure. In this model updating technique, the error functions of the dynamic characteristic differences between measurement and model are generated as the number of modes under consideration and minimized using the multiobjective optimization techniques. A modal influence factor defined by modal participation factors for each mode is presented for the selection of the best solution from among Pareto solutions. The selection rule represented in this article makes it possible to reflect the contributions of each mode on the behavior of a structure. The model is updated using natural frequencies measured in an impact hammer test of a beam structure and the validity of the updated model is confirmed by the strain responses measured from the test. It is found that the bending stiffness of the beam structure as the parameter for model updating can be identified by the proposed techniques. Furthermore, through comparing the models updated by the simple sum model updating and the technique in this research, it is verified that the proposed technique is more appropriate for the model updating.

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Section: Introductionmentioning

confidence: 99%

Model Updating Technique Based on Modal Participation Factors for Beam Structures

Kim

et al. 2015

Computer aided Civil Eng

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“…Unless a strain sensor is installed exactly on where maximum strain occurs, the reliability of the evaluated safety based on the measured strain depends on the number and location of sensors. Therefore, to reduce the number of sensors, the average strains from long gauge fiber optic sensors (LGFOS) or vibrating wire strain sensors (VWSGs) have been used in estimating the maximum strain, since LGFOS or VWSGs measure integrated strain over a relatively long gauge length (Park et al 2005(Park et al , 2007Lee, Park 2011).…”

Section: Introductionmentioning

confidence: 99%

Analytical Models for Estimation of the Maximum Strain of Beam Structures Based on Optical Fiber Bragg Grating Sensors

Choi

Lee

et al. 2015

Journal of Civil Engineering and Management

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The structural safety of a beam structure is assessed by a comparison between the maximum stress measured during monitoring and the allowable stress of the beam. However, the strain directly measured from a fiber Bragg grat- ing (FBG) strain sensor may not be identical with the actual maximum strain induced in the structural member. Unless a FBG strain sensor is installed exactly on where maximum strain occurs, the reliability of the evaluated safety based on the measured strain depends on the number and location of sensors. Therefore, in this paper, analytical models are presented for estimation of the maximum values of strains in a linear elastic beam using the local strains measured from FBG sensors. The model is tested in an experiment by comparing estimated maximum strain from FBG sensors and directly measured strain from electrical gages. For the assessment of safety of typical beam structures in buildings and infrastructures, analytical models for various loading and boundary conditions are provided.

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“…Using the average strains from VWSGs or long‐gage fiber optic sensors (LGFOSs) is more advantageous than using the local strains obtained from point sensors because the average strains can cover a relatively larger area of a structural member. For this reason, several recent studies estimated the maximum stress of beam structures subjected to pure bending moment using the average strain based on LGFOSs (Park et al., ; Park et al., ). Although many field applications of LGFOSs are reported in various fields, so far it is impossible to avoid employment and handling of lengthy cables between the FOSs and data‐logging hardware.…”

Section: Introductionmentioning

confidence: 99%

Analytical Model for Estimation of Maximum Normal Stress in Steel Beam‐Columns Based on Wireless Measurement of Average Strains from Vibrating Wire Strain Gages

Lee

Choi

Jung

et al. 2013

Computer aided Civil Eng

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Analytical models for assessment of the safety of multi-span steel beams based on average strains from long gage optic sensors

Cited by 24 publications

References 10 publications

Model Updating Technique Based on Modal Participation Factors for Beam Structures

Model Updating Technique Based on Modal Participation Factors for Beam Structures

Analytical Models for Estimation of the Maximum Strain of Beam Structures Based on Optical Fiber Bragg Grating Sensors

Analytical Model for Estimation of Maximum Normal Stress in Steel Beam‐Columns Based on Wireless Measurement of Average Strains from Vibrating Wire Strain Gages

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