A Numerical Study of Structural Damage Detection Using Changes in the Rotation of Mode Shapes

Abdo, Mohamed Abdel-Basset; Hori, Muneo

doi:10.1006/jsvi.2001.3989

Cited by 128 publications

(66 citation statements)

References 10 publications

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“…Lanczos algorithm can be used to get more accurate modal parameters and the damage is identified by changes in the natural frequency and the derivative of the function of mode shape [9]. Numerical studies to detect structural damage can also be done with the use of rotational changes in mode shapes [10]. This study can show the relationship between the damage characteristics and the change of dynamic property.…”

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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“…However, the use of this method is limited to beams with clamped-clamped boundary condition. Abdo and Hori [34] suggested that the rotation (i.e., the first derivative of displacement) of mode shape is a sensitive indicator of damage. Based on a finite element analysis of a damaged cantilevered plate and a damaged simply-supported plate, the rotation of mode shape is shown to have better performance of multiple damage localization than the displacement mode shape itself.…”

Section: Traditionalmentioning

confidence: 99%

Vibration-based Damage Identification Methods: A Review and Comparative Study

Fan

Qiao

2010

Structural Health Monitoring

1,592

215

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A comprehensive review on modal parameter-based damage identification methods for beam-or plate-type structures is presented, and the damage identification algorithms in terms of signal processing are particularly emphasized. Based on the vibration features, the damage identification methods are classified into four major categories: natural frequency-based methods, mode shape-based methods, curvature mode shape-based methods, and methods using both mode shapes and frequencies, and their merits and drawbacks are discussed. It is observed that most mode shape-based and curvature mode shape-based methods only focus on damage localization. In order to precisely locate the damage, the mode shape-based methods have to rely on optimization algorithms or signal processing techniques; while the curvature mode shape-based methods are in general a very effective type of damage localization algorithms. As an implementation, a comparative study of five extensively-used damage detection algorithms for beam-type structures is conducted to evaluate and demonstrate the validity and effectiveness of the signal processing algorithms. This brief review aims to help the readers in identifying starting points for research in vibration-based damage identification and structural health monitoring and guides researchers and practitioners in better implementing available damage identification algorithms and signal processing methods for beam-or plate-type structures.

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“…A comprehensive review of damage detection via vibration methods is given in [1,2]. Generally, structural damages alter the modal properties of the structure which aids in finding such defects [3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Modal Data Based Approach for Structural Damage Identification by Means of Imperialist Competitive Optimization Algorithm

2017

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In this paper, an effective method for structural damage detection is put forth in which an objective function based on the natural frequencies and modal shapes of the structure is established to identify and detect structural damage. The problem is defined and solved as an optimization problem employing Imperialist Competition Algorithm (ICA). Moreover, four numerical examples are examined each of which has different damage scenarios in order that the applicability of the method would be clearly proved. The results show the efficiency of the method in detecting single and multiple damages in different structures. Afterwards, the effects of measurement noises are included in some of the examples so that the method can be more consistent with real situations. Besides, a comparison among several evolutionary optimization algorithms in the research is made to enlighten the accuracy, robustness and reliability of the method. All of the results lead to the conclusion that the suggested method of the paper is of good accuracy, and, therefore, can be both used and trusted in solving damage detection problems, even in cases that measurement noises are encountered.

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A Numerical Study of Structural Damage Detection Using Changes in the Rotation of Mode Shapes

Cited by 128 publications

References 10 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

Vibration-based Damage Identification Methods: A Review and Comparative Study

Modal Data Based Approach for Structural Damage Identification by Means of Imperialist Competitive Optimization Algorithm

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