Model updating–based damage detection of a concrete beam utilizing experimental damped frequency response functions

Pu, Qianhui; Hong, Yu; Chen, Liangjun; Yang, Shili; Xu, Xikun

doi:10.1177/1369433218789556

Cited by 14 publications

(6 citation statements)

References 27 publications

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“…Another damping assumption, hysteretic damping, can more accurately describe the energy dissipation. Although it is difficult to translate the hysteretic damping mechanism into the time domain, it is promising to use the hysteretic damping assumption in the frequency domain (Pu et al [2019]).…”

Section: Damping-based Methodsmentioning

confidence: 99%

On the use of Modal Test Data in Inverse Problems: Fundamentals and Applications

Gomes¹,

Carneiro²,

S.³

et al. 2022

Fundamental Concepts and Models for the Direct Problem

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In the past few decades, modal testing has become a major technology for determining, improving and optimizing dynamic characteristics of engineering structures in different fields, with emphasys (but not limited to) mechanical, civil, and aeronautical/aerospace engineering. One of the great advantages of using modal tests is related to their experimental practicality. This practical advantage leads to its strong use in inverse methods, or commonly known as inverse modal-based problems. An inverse problem based on modal parameters can be formulated basically using i) natural frequency, ii) damping factor or loss factor and iii) mode shapes. Other metrics can also be used from the composition of these 3 main responses, such as modal strain energy, inverse FRF and many others. Inverse modal-based identification through optimization algorithms are particularly emphasized. The methods discussed here are mainly elaborated by the evaluation of modal data due to the great potential of application. This chapter discusses the use of computational and intelligent techniques for parameter identification using modal responses. The content in this paper aims to help engineers and researchers find a starting point in developing a better solution to their specific structural problems, either by inverse methods, pattern recognition, or intelligent signal processing.

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Section: Damping-based Methodsmentioning

confidence: 99%

On the use of Modal Test Data in Inverse Problems: Fundamentals and Applications

Gomes¹,

Carneiro²,

S.³

et al. 2022

Fundamental Concepts and Models for the Direct Problem

View full text Add to dashboard Cite

show abstract

“…ey concluded that the method based on Continuous Wavelet Transform (CWT) is much more efficient than uncovering the highfrequency spikes of the structural response obtained by Hilbert-Huang transform, high-pass filtering, or Discrete Wavelet Transform (DWT). Pu et al [15] presented the use of Frequency Response Functions (FRFs) along with the model updating theory for identifying the damage occurred in concrete beams. ey formulated an optimization algorithm to set the analytical FRFs from a benchmark finite element model with those obtained through the experimental response.…”

Section: Structural Damage Detectionmentioning

confidence: 99%

A System Identification‐Based Damage‐Detection Method for Gravity Dams

Mirtaheri

Salkhordeh

Mohammadgholiha

2021

Shock and Vibration

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Dams are essential infrastructures as they provide a range of economic, environmental, and social benefits to the local populations. Damage in the body of these structures may lead to an irreparable disaster. This paper presents a cost-effective vibration-based framework to identify the dynamic properties and damage of the dams. To this end, four commonly occurred damage scenarios, including (1) damage in the neck of the dam, (2) damage in the toe of the structure, (3) simultaneous damage in the neck and the toe of the dam, and (4) damage in the lifting joints of the dam, are considered. The proposed method is based on processing the acceleration response of a gravity dam under ambient excitations. First, the random decrement technique (RDT) is applied to determine the free-vibration of the structure using the structural response. Then, a combined method based on Hilbert–Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. Next, the cubic-spline technique is used to make the mode shapes differentiable. Finally, Continuous Wavelet Transform (CWT) is applied to the residual values of mode shape curvatures between intact and damaged structures to estimate the damage location. In order to evaluate the efficiency of the proposed method in field condition, 10% noise is added to the structural response. Results show promising accuracy in estimating the location of damage even when the structure is subjected to simultaneous damage in different locations.

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“…First, we simulated the static test. According to the obtained static displacement data, under a concentrated force, the rates of length change of 71 elements before and after the damages occurred were calculated by Equation (15). The results obtained from the calculation without considering the noise are shown in Figures 4 and 5. for element 5 between nodes 5 and 6; and (2) simulate 20% stiffness damage for element 35 between nodes 1 and 15, and 20% stiffness damage for element 40 between nodes 7 and 19, respectively.…”

Section: Casesmentioning

confidence: 99%

Section: Casesmentioning

confidence: 99%

“…The displacement influence line [11] and strain influence line [12] are also used to identify the damage, and Alexandre Kawano conjectured that the time to measure the structural displacement also affects the result [13]. Most of the above studies are based on the model correction technique, which is a common method for damage identification [14][15][16], using finite element models. Nevertheless, it is difficult to establish accurate finite element models for large structures.…”

Section: Introductionmentioning

confidence: 99%

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Model-Free Method for Damage Localization of Grid Structure

Yang

Wang

et al. 2019

Applied Sciences

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A model-free damage identification method for grid structures based on displacement difference is proposed. The inherent relationship between the displacement difference and the position of structural damage was deduced in detail by the Sherman–Morrison–Woodbury formula, and the basic principle of damage localization of the grid structure was obtained. That is, except for the tensile and compressive deformations of the damaged elements, the deformations of other elements were small, and only rigid body displacements occurred before and after the structural damage. According to this rule, a method for identifying the position of the damage was proposed for the space grid structure by using the rate of change of length for each element. Taking a space grid structure with a large number of elements as an example, the elastic modulus reduction method was used to simulate the damage to the elements, and the static and dynamic test parameters were simulated respectively to obtain the difference in displacement before and after the structural damage. The rate of change of length of each element was calculated based on the obtained displacement difference, and data noise was added to the simulation. The results indicated that the element with the larger length change rate in the structure was the most likely to be damaged, and the damaged element can be accurately evaluated even in the presence of noise in data.

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Model updating–based damage detection of a concrete beam utilizing experimental damped frequency response functions

Cited by 14 publications

References 27 publications

On the use of Modal Test Data in Inverse Problems: Fundamentals and Applications

On the use of Modal Test Data in Inverse Problems: Fundamentals and Applications

A System Identification‐Based Damage‐Detection Method for Gravity Dams

Model-Free Method for Damage Localization of Grid Structure

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