Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic

Chandrashekhar, M.; Ganguli, Ranjan

doi:10.1016/j.jsv.2009.05.030

Cited by 111 publications

(51 citation statements)

References 44 publications

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“…Ratcliffe [101] applied a modified Laplacian operator solely on modal shapes of damaged structure and successfully identifies the damage location. Chandrashekhar and Ganguli [102] used Gaussian fuzzy sets to fuzzify changes in the modal curvatures due to damage and used a fuzzy logic system to accurately locate the damage. Sazonov and Klinkhachorn [103] presented an analysis to determine the optimal sampling interval of strain energy mode shapes.…”

Section: Modal Domain Methodsmentioning

confidence: 99%

“…Meanwhile, fuzzy logic recognizes the lack of knowledge or absence of precise data, and describes most variables in linguistic terms, which make fuzzy logic models very intuitively similar to human reasoning. Ever since the first introduction to risk management [240], fuzzy logic has been widely applied in structure damage identification and decision making [102,241,242]. Ganguli [243] developed a fuzzy logic system for health monitoring of a helicopter rotor blade, which is able to reduce the possibility of false alarms and help the maintenance engineer by roughly locating the damage area but accurate for further nondestructive inspections.…”

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

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The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

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Abstract:Research on detecting structural damage at the earliest possible stage has been an interesting topic for decades. Among them, the vibration-based damage detection method as a global technique is especially pervasive. The present study reviewed the state-of-the-art on the framework of vibration-based damage identification in different levels including the prediction of the remaining useful life of structures and the decision making for proper actions. This framework consists of several major parts including the detection of damage occurrence using response-based methods, building reasonable structural models, selecting damage parameters and constructing objective functions with sensitivity analysis, adopting optimization techniques to solve the problem, predicting the remaining useful life of structures, and making decisions for the next actions. For each part, the commonly used methods were reviewed and the merits and drawbacks were summarized to give recommendations. This framework is aimed to guide the researchers and engineers to implement step by step the structure damage identification using vibration measurements. Finally, the future research work in this field is recommended.

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Section: Modal Domain Methodsmentioning

confidence: 99%

Section: Fuzzy Logic Methodsmentioning

confidence: 99%

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

2017

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“…LD1, LD2, LD3, LD4 rcd [7][8][9][10] Large ranges of relative crack depth in ascending order respectively.…”

Section: Details Of Fuzzy Logic Modelsmentioning

confidence: 99%

“…Bakhary et al [9] have explained a statistical approach to take into account the effect of uncertainties in developing an ANN model. Chandrasekhar and Ganguli [10] showed that geometric and measurement uncertainty causes considerable problem in the damage assessment. They used Monte Carlo simulation to study the changes in the damage indicator due to uncertainty in the geometric properties of the beam.…”

Section: Difference Between Artificial Neural Network and Fuzzy Logicmentioning

confidence: 99%

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Comparison of Artificial Neural Networks and Fuzzy Logic Approaches for Crack Detection in a Beam Like Structure

B¹,

Jayasree²,

Hegde³

2018

IJAIA

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Damage evaluation of structures with uncertain parameters via interval analysis and FE model updating methods

Sevillano

Sun

Perera

2016

Struct. Control Health Monit.

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Experimental and numerical uncertainties are always present in structural identification problems. The quantification of the uncertainty on the results of a finite element updating procedure is commonly carried out in a probabilistic framework, which requires working with a-priori known probability distributions for the uncertain parameters. In this paper, the modal interval analysis method to estimate damage structural problems with uncertain-but-bounded parameters is presented. With this method only the bounds on the magnitude of uncertain parameters are required. The formulation of this method in a single objective framework is equivalent to minimizing the average value and the deviation of the uncertain objective function in the considered interval with which it is actually a multi-objective problem. Furthermore, its implementation requires the analytical evaluation of the sensitivities of the objective functions with respect to the uncertain parameters, which is derived. Numerical and experimental results evidence the accuracy and the effectiveness of the proposed approach to evaluate damage in uncertain environments. Figure 15. Experimental RC frame-damage distribution: (a) uncertainty level 0%; (b) uncertainty level 1%; (c) uncertainty level 5%. DAMAGE EVALUATION WITH UNCERTAIN PARAMETERS VIA INTERVAL ANALYSIS

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Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic

Cited by 111 publications

References 44 publications

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

The State-of-the-Art on Framework of Vibration-Based Structural Damage Identification for Decision Making

Comparison of Artificial Neural Networks and Fuzzy Logic Approaches for Crack Detection in a Beam Like Structure

Damage evaluation of structures with uncertain parameters via interval analysis and FE model updating methods

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