Structural damage detection of controlled building structures using frequency response functions

Qin, Huang; Xu, You Lin; Li, Jianchun; Su, Zhongqing; Liu, H. J.

doi:10.1016/j.jsv.2012.03.001

Cited by 58 publications

(19 citation statements)

References 16 publications

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“…Methods using the acceleration response data were presented in [13][14][15]. These methods related the acceleration responses of the frequency response function (FRF) with the mode shapes.…”

Section: A Structural Damage Detection Studymentioning

confidence: 99%

Structural Damage Detection of A Steel-Truss Railway Bridge Using its Dynamic Characteristics

Susanto

Budipriyanto

2015

IJPS

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AbstractMany steel truss rail bridges in Indonesia were built decades ago. To assure that bridge structure is in-service conditions, periodic monitoring is required, thus structural health of the bridge can be assessed and sudden collapse of the structure can be avoided. In health monitoring of structure, structural damage detection methods are frequently required so that damaged/weak element of the structure can be identified and technique for repairing it can be determined. In this paper, structural damage detection method of steel truss bridge is discussed. The method applied in this study used vibration characteristics of the structure for detecting structural damages occurred in the structure. The method was utilized to identify simulated damages occurred in a steel-truss railway bridge located in Porong East Java. The bridge has span of 30 meters and it was built during the era of Dutch colonization. The structure was modeled numerically utilizing CSI Bridge v15 computer software for facilitating in obtaining its dynamic characteristics. Results of this study showed that the method could identify precisely the existence of damage took place in the structure.

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Section: A Structural Damage Detection Studymentioning

confidence: 99%

Structural Damage Detection of A Steel-Truss Railway Bridge Using its Dynamic Characteristics

Susanto

Budipriyanto

2015

IJPS

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“…For this reason, the model updating technique is often used to update the key parameters of the FE model using measurement data so that the errors between the measured and predicted structural dynamic characteristics and/or responses can be minimized and that the updated model can best represent the prototype . The model updating technique has been extensively studied and successfully applied to engineering structures by using measurement data such as natural frequencies and modal shapes …”

Section: Introductionmentioning

confidence: 99%

Multi-scale model updating of a transmission tower structure using Kriging meta-method

Wang

2016

Struct. Control Health Monit.

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A multi-scale model is often constructed using different finite elements and consists of a global scale model for the structural system and a few local scale models for critical structural components so that the multi-scale simulation can concurrently exhibit both global performance and local behavior of the structure. To ensure the multi-scale model can best represent the real structure, multi-scale model updating technique shall be developed accordingly. This paper thus presents a multi-scale model updating method for a transmission tower structure using the Kriging metamodel that actually is a surrogate for the multi-scale model. Firstly, the multi-scale model of a transmission tower is established by using beam elements to simulate global structure and solid elements to simulate local joints with bolt connections. Secondly, the multi-objective optimization problem that involves multiple objective functions is established to update key parameters of the multi-scale model so that the errors between the measured and predicted structural dynamic characteristics and multi-scale responses can be minimized. To improve the computational efficiency and accuracy of optimization, the Kriging meta-method is used to find the updated key parameters of the tower after a comparison with other meta-methods is made. Finally, the proposed method is applied to a physical transmission tower model, which has been tested in a laboratory, to demonstrate the feasibility and accuracy of the proposed model-updating method. The updated results show that the proposed updating method can improve the accuracy of the multi-scale model of the tower in both global and local structural responses.

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“…The method was carried out using a displacementbased neural network emulator and a parametric evaluation neural network. Huang et al [15] presented a method for system identification and damage detection of controlled building structures equipped with semi-active friction dampers through model updating based on FRFs by adding a known stiffness using semi-active friction dampers. Eun et al [16] presented a damage detection method based on the change in the FRF response before and after attaching an additional mass on the shear building structure.…”

Section: Introductionmentioning

confidence: 99%

Damage identification of a frame structure model based on the response variation depending on additional mass

Lee

Eun

2014

Engineering with Computers

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Structural damage detection of controlled building structures using frequency response functions

Cited by 58 publications

References 16 publications

Structural Damage Detection of A Steel-Truss Railway Bridge Using its Dynamic Characteristics

Structural Damage Detection of A Steel-Truss Railway Bridge Using its Dynamic Characteristics

Multi-scale model updating of a transmission tower structure using Kriging meta-method

Damage identification of a frame structure model based on the response variation depending on additional mass

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