Automated model updating of multiple cracked cantilever beams for damage detection

Altunışık, Ahmet Can; Okur, Fatih Yesevi; Kahya, Volkan

doi:10.1016/j.jcsr.2017.08.006

Cited by 24 publications

(11 citation statements)

References 14 publications

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“…To evaluate the performance of SEREP, an experimental box-sectional cantilever beam is herein employed. Experimental configuration has been carried out by Altunışık et al (2017). A number of research on FEM updating and damage detection have been performed in recent years based on this experiment and they can be found in Altunışık et al (2019a, 2019b).…”

Section: Serepmentioning

confidence: 99%

Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

Ghannadi

Kourehli

Noori

et al. 2020

Advances in Structural Engineering

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Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are not very sensitive to damage in large structures. However, objective functions based on both mode shapes and frequencies are very effective. In real measurement condition, the number of installed sensors is limited, and there are no economic reasons for measuring the mode shapes at all degrees of freedom. In this kind of circumstances, mode expansion methods are used to address the incompleteness of mode shapes. In this article, the system equivalent reduction and expansion process is applied to determine the unmeasured mode shapes. Two experimental examples including a cantilever beam and a truss tower are investigated to show system equivalent reduction and expansion process’ efficiency in estimating unmeasured mode shapes. The results show that the technique used for expansion is influential. Damage identification is formulated as an optimization problem, and the residual force vector based on expanded mode shapes is considered as an objective function. In order to minimize the objective function, grey wolf optimization and Harris hawks optimization are used. Numerical studies on a 56-bar dome space truss and experimental validation on a steel frame are performed to demonstrate the efficiency of the developed approach. Both numerical and experimental results indicate that the combination of the grey wolf optimization and expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris hawks optimization.

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Section: Serepmentioning

confidence: 99%

Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

Ghannadi

Kourehli

Noori

et al. 2020

Advances in Structural Engineering

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“…In addition to numerical finite element analyses and analytical calculation, nondestructive ambient vibration examinations are widely conducted to get the dynamic features in functioning condition without any external forces. A vast amount of literature can be found regarding the finite element model updating of steel structures, 13–20 reinforced concrete structures, 21–27 base isolated structures, 28 timber structures, 29,30 and masonry structures 31–36 . However, there are very limited studies about the ambient vibration test‐based system identification and FEM updating of concrete steel composite structures 37–39 …”

Section: Introductionmentioning

confidence: 99%

“…Several approaches are being used to detect and identify the damage status. Vibration‐based damage detection method is one of the most used and interested to mass, stiffness, and damping representing the dynamic features like natural frequencies, mode shape, and damping ratios 16,41–44 . Structural damage can be detected, localized, and quantified easily and accurately by properly updated FE model 45–47 …”

Section: Introductionmentioning

confidence: 99%

Model updating‐based automated damage detection of concrete‐encased composite column‐beam connections

Nasery

Hüsem

Okur

et al. 2020

Struct Control Health Monit

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Summary This paper presents a comparative study about the numerical and experimental system identification and model updating‐based automated damage detection of concrete‐encased composite column‐beam connections. Four different column‐beam connection types named as CBC#A, CBC#B, CBC#C, and CBC#D were considered without any changes in geometrical configuration. Numerical and experimental dynamic characteristics were extracted by initial finite element analysis and nondestructive experimental measurements for undamaged condition. Enhanced frequency domain decomposition (EFDD) method was used for experimental modal extractions. A good agreement was observed between experimental natural frequencies but not enough correlation between damping ratios for all connection types. Maximum differences between initial finite element and undamaged experimental results were calculated as 34.68% for CBC#A, 40.78% for CBC#B, 33.15% for CBC#C, and 47.13% for CBC#D type connection details. The differences were reduced to 0.24%, 0.24%, 0.16%, and 0.15%, respectively, by automated model updating procedure using spring coefficient, modulus of elasticity and weight per unit volume. In the case of the damaged condition, lateral forces were applied to simulate the effect of an earthquake. Cracks strongly affected the natural frequencies. The mode shapes were not broken evidently after damaged conditions. The mode shapes definitely deviated a bit, but generally the same after damages. The natural frequencies have decreased non‐monotonically due to the decrease in the rigidity of the column and beam at the cracked section. Maximum differences were calculated as 14.96% for CBC#A, 41.08% for CBC#B, 31.35% for CBC#C, and 45.93% for CBC#D type connection details. After automated model updating the above‐mentioned differences were reduced to 0.35%, 0.78%, 0.73%, and 0.85% respectively. Contour diagrams of changes of updating parameters were plotted for damage identification. The regions with high difference rates indicated the location of the damage.

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“…According to the crack identification problem of a hollow circular cross-sectional cantilever beam, they solved the problem by the transfer matrix method analytically and the finite element method numerically [15]. And subsequently, Altunışık et al presented an automated model updating method for crack identification of a beam with the box cross section [16]. Khiem and Huyen proposed a method to detect a single crack in a functionally graded Timoshenko beam by measurements of modal frequencies [17].…”

Section: Introductionmentioning

confidence: 99%

Prediction on Remaining Life of a V-Notched Beam by Measured Modal Frequency

Liu

Barkey

2019

Shock and Vibration

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A prediction method for the remaining life of a V-notched beam using measured modal frequencies is proposed in this article. The main purpose is to provide a new monitoring method of crack growth for a cantilever beam. At first, the fatigue crack growth characteristic and the change law of modal frequencies of a V-notched cantilever beam under cyclic loading were studied by experiments. Subsequently, the relation of modal frequencies and crack growth were analyzed. Thereafter, the decrease ratio of the first modal frequency was employed to reflect the crack damage so as to set up the relation of the modal frequency and the crack damage, and the evolution model between the crack damage and the cyclic loading numbers were set up. A prediction method for crack growth life was proposed for a cantilever beam based on the decrease ratio of the first modal frequency in the end. The remaining life of a V-notched cantilever beam can be obtained using the proposed method with a given endured loading cycles and the corresponding measured modal frequency. Results indicate that the remaining fatigue life of the V-notched cantilever beam is related to the decrease ratio of the modal frequency, and the predicted remaining life is in good agreement with the measured remaining life as the crack depth extends to a certain value.

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Automated model updating of multiple cracked cantilever beams for damage detection

Cited by 24 publications

References 14 publications

Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

Model updating‐based automated damage detection of concrete‐encased composite column‐beam connections

Prediction on Remaining Life of a V-Notched Beam by Measured Modal Frequency

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