Low Frequency Damage Analysis of Electric Pylon Model by Fuzzy Logic Application

Dominik, Ireneusz; Iwaniec, Marek; Lech, Łukasz

doi:10.1260/0263-0923.32.3.239

Cited by 19 publications

(21 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At 10 m from the pin-connected end, the structure rests on a roller support. The structure is assumed to be made of steel material with a Young's modulus of 200 GPa and density of 7850 kg=m 3 . The cross-sectional area and the second moment of area of the beam are assumed to be 0.08 m 2 and 0.0006 m 4 , respectively.…”

Section: Beam Structurementioning

confidence: 99%

“…Engineering structures in general are subjected to constant degradation due to the harsh environmental and operational conditions they are faced with. To maintain their safety and reliability, researchers have been developing damage detection methods [1][2][3][4] to assess the health condition of the structures to allow reparation/replacement of structural defects at an early stage before catastrophic failure occurs. Based on the information given on the state of damages, the damage detection methods can be classified into four different levels as given by Rytter 5 Level 1: Detect the presence of damages only in the structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A new approach toward damage localization and quantification of structures under changing temperature condition

Wah

Chen

2018

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

Most damage detection methods developed in the literature cannot give the locations and extent of damages under the presence of varying temperature condition. This is because temperature condition changes the vibration properties of a structure, which are commonly analyzed for damage detection, and temperature gradient throughout the structure makes it difficult to create a baseline for the undamaged structure, as the baseline is generally constructed using features obtained under a wide range of temperature conditions. In this paper, a new insight on how to approach damage detection using only a single temperature condition to create the baseline is proposed. This approach solves the damage detection under changing temperature problem in two stages by first quantifying the change of stiffness of all the elements in a structure due to temperature and damage effects, followed by removing the temperature effect, a global effect, to give the actual damage locations and extent. Using single temperature condition allows new measurements to be compared to a benchmark so that local deviation can be obtained, thus making the damaged elements identifiable. The proposed approach is tested using a beam structure model and a shear building under different gradient temperature conditions, and the results demonstrate that the method successfully eliminates the change in elemental stiffness due to temperature effect and gives correct damage locations and extent. The approach can be implemented with other existing damage detection methods that did not consider the effect of temperature so that structures under varying temperature condition can be analyzed.

show abstract

Section: Beam Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new approach toward damage localization and quantification of structures under changing temperature condition

Wah

Chen

2018

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

“…Substituting equations (11) to (13) into equation (8) and comparing the terms 1, X k, and X k1 X k2 lead to the following equations…”

Section: Statistical Damage Identification With Uncertaintymentioning

confidence: 99%

“…Yan et al 1 presented a general summary and review of state of art and development of vibration-based structural damage detection. Frequency response function 2 and modal parameters [3][4][5][6][7][8] such as natural frequency, mode shapes, and modal strain energy have been frequently used as the variation of the vibration characteristics to detect the structural damage.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Statistical damage identification method based on dynamic response sensitivity

Mao

Weng

et al. 2018

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

The traditional deterministic damage detection method is based on the assumption that the measured data and the finite element model are accurate. However, in real situation, there are many uncertainties in the damage identification procedure such as the errors of the finite element model and the measurement noise. Since the uncertainties inevitably exist in the finite element models and measured data, the statistic method which considers the uncertainty has wide practical application. This paper proposes a statistical damage identification method based on dynamic response sensitivity in state-space domain. Considering the noise of the finite element model and measured acceleration response, the statistical variations of the damaged finite element model are derived with perturbation method which is based on a Taylor series expansion of the response vector and verified by Monte Carlo technique. Afterward, the probability of damage existence for each structural element is estimated using the statistical characteristic of the identified structural parameters. A numerical simply supported beam under the moving load is applied to demonstrate the accuracy and efficiency of the proposed statistical method.

show abstract

Structural damage assessment using improved Dempster-Shafer data fusion algorithm

Ding

Yao

Wang

et al. 2019

Earthq. Eng. Eng. Vib.

View full text Add to dashboard Cite

Low Frequency Damage Analysis of Electric Pylon Model by Fuzzy Logic Application

Cited by 19 publications

References 8 publications

A new approach toward damage localization and quantification of structures under changing temperature condition

A new approach toward damage localization and quantification of structures under changing temperature condition

Statistical damage identification method based on dynamic response sensitivity

Structural damage assessment using improved Dempster-Shafer data fusion algorithm

Contact Info

Product

Resources

About