Comparative Study of Mode Shapes Curvature and Damage Locating Vector Methods for Damage Detection of Structures

Frans, Rihard; Arfiadi, Yoyong; Parung, Herman

doi:10.1016/j.proeng.2017.01.420

Cited by 22 publications

(14 citation statements)

References 2 publications

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“…But the reconstruction method has very high stability for the noise in testing data. Yan and Golinval, and Kanta and Samit, [21][22][23][24][25][26][27][28] the identification method in this paper is more rapid, simple, and accurate to identify the weak link of the stiffness. Meantime, the superiority of the application of this method in the engineering field is proved.…”

Section: Weak Identificationmentioning

confidence: 99%

An identification method of the weak link of stiffness for cantilever beam structure

Guo

Cao

et al. 2020

Science Progress

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To find the weak link of the structural stiffness is important to improve machine tool stiffness. However, how to overcome the static deformation with difficulty acquisition is a difficult problem in machine tool structure. The article takes the cantilever beam structure as a numerical example, the weak link is modeled as EA reduction in stiffness. Thorough finite element simulations are performed to assess the robustness and limitations of the method in several scenarios with single and multiple weaknesses. The sensors are used to acquire the acceleration data, the structural modal parameters are obtained by the singular value decomposition technique, and the dynamic characteristics are systematically reconstructed by using the modal state-space method to obtain static stiffness. Then, an identification method proposed by measured data and reconstructed data to identify the weak link of stiffness of the cantilever structure. Furthermore, the comparison of numerical and experimental results validate the correctness and effectiveness of this method. The research has certain practical engineering value and provides an accurate guidance for the optimization of machine tool stiffness.

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Section: Weak Identificationmentioning

confidence: 99%

An identification method of the weak link of stiffness for cantilever beam structure

Guo

Cao

et al. 2020

Science Progress

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“…This model is taken from [4] with some modifications in the damage scenarios. The damage scenarios can be seen in Table 1, while the structural properties of the beam are shown in Table 2.…”

Section: Simply Supported Beam Modelmentioning

confidence: 99%

“…This structure is taken from [4]. Two damage scenarios were considered as follows: (a) a single damage member with loss of stiffness in member-11 is 75% from initial stiffness, and (b) a multiple damage with losses of stiffness in member-8 and member-11 are 50% and 75%, respectively.…”

Section: Plane Truss Modelmentioning

confidence: 99%

Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)

Frans

Arfiadi

2017

MATEC Web Conf.

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Abstract. Damage detection of structures is important to ensure the service of civil engineering infrastructures. Many techniques have been developed for damage detection of structures in the literature. In this paper a new technique, a so called MAC-FMSO technique, is developed by using a combination of Modal Assurance Criterion (MAC) and Fast Multi Swarm Optimization (FMSO) techniques. By using this method, not only the damage location can be assured, but also the loss of strength and loss of stiffness of structures might be quantified. The first stage is to obtain the damaged member's location by using second level of damage detection techniques, such as mode shape curvature method, damage locating vector, or strain energy method. After obtaining the damaged member, the MAC-FMSO technique is used to obtain the loss of stiffness from the candidate of damaged members. The results show that the MAC-FMSO algorithm has the ability to predict the loss of stiffness in the damaged members. In this case, the MAC-FMSO technique can be considered as an efficient and effective tool at the third level of damage detections. This is because this technique successfully measures the loss of strength or loss of stiffness of the damage member or part of structures. At the end of the paper, the MAC-FMSO technique is applied to predict the location of damage and loss of stiffness of three different structures. The first application is a simply supported beam with three different damage scenarios; the second application is a 13-bar plane truss structure with two different scenarios, and the third application is a shear building structure with three different scenarios. The results of simulation show that the MAC-FMSO technique can accurately predict the loss of stiffness of the damaged member as well as the location of the damage.

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“…The limitation of this method is that depends on undamaged modal response of the structure. 15,16 Sha et al 17 proposed a local damage detection and monitoring technology based on the relative natural frequency changes only. However, a possible limitation of the method is that it always yields possible damage locations symmetrically.…”

Section: Introductionmentioning

confidence: 99%

Study on the dynamic identification method of the weak part of the bar-shaped combined structure

Guo

Meng

Cao

et al. 2021

Advances in Mechanical Engineering

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The weak part of the stiffness of machine tool combined structure is the key to improve the stiffness of machine tool. To overcome the static deformation with difficulty acquisition, the paper chooses machine tool combined structure which can be equivalent to one-dimensional bar structure, and a weakness index (WI) is proposed to identify the weak part of the stiffness by means of the dynamic hammer test method. Based on the bar structure as a numerical example, the weak parts are modeled as EA reduction in stiffness while the mass is maintained at a constant value. Thorough finite element (FE) method simulations are performed to assess the robustness and limitations of the method in several scenarios with single and multiple weakness. On the crossbeam of gantry type machine tool, the sensors are used to collect vibration data, the structural modal parameters are obtained by singular value decomposition (SVD) technique, and the dynamic characteristics are systematically reconstructed by using modal state space method to obtain stiffness data at zero-frequency. Then, the weak part of the structural stiffness is identified by the weakness index. Finally, the comparison of FE simulations and experiment results are provided to illustrate the working of the method.

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Comparative Study of Mode Shapes Curvature and Damage Locating Vector Methods for Damage Detection of Structures

Cited by 22 publications

References 2 publications

An identification method of the weak link of stiffness for cantilever beam structure

An identification method of the weak link of stiffness for cantilever beam structure

Structural damage detection using MAC-Fast Multi Swarm Optimization technique (MAC-FMSO)

Study on the dynamic identification method of the weak part of the bar-shaped combined structure

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