Damage diagnosis in steel structures with different noise levels via optimization algorithms

Masoumi, Masoud; Jamshidi, E.

doi:10.1007/s13296-015-9004-8

Cited by 7 publications

(3 citation statements)

References 22 publications

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“…Two-advance harm recognizable proof methodology dependent on wavelet multi-goals investigation and hereditary calculation (GA) in pillar structures is executed, the area of break is distinguished by relative wavelet bundle entropy, damage severities is determined utilizing GA [30] Dolphin eco location algorithm is implemented for beam damage detection [31]. Combination of CWT and DWT analyzing procedure is suitable for concrete for monolithic dam damage detection [33] Imperialist Competitive Algorithm (ICA) damage detection is more effective than binary genetic algorithm and Particle swarm optimization [34] Last two decades vibration signatures based damage detection is one of the important emerging field, Damage size and severities having a major influence in selection of different vibration based damage detection technique, Predicting the damage of the structure in the earliest stage is very important, it is one of the challenging task in this area. In the present paper, an attempt has been made to detect the presence of damage in beam structure using the combination of transverse and rotational displacement data.…”

Section: Introductionmentioning

confidence: 99%

Novel TQWT Algorithm for Structural Damage Identification

Kumar K *,

Reddy D

2019

IJRTE

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In this paper tunable Q-factor wavelet transform is implemented into damage identification. Fixed – Fixed beam damage identification problem is demonstrated. Translation and Rotational mode shapes are used as an input signal, the TQWT algorithm depends Q-factor and asymptotic redundancy, when it matches with the oscillatory behavior of the input signal it is tuned. This method decomposes a signal into a high-Q-factor and low-Q-factor component, and it can be used to differentiate the damaged and undamaged mode shapes of the beam structure. TQWT coefficient is used as damage index to locate and quantify the damage. Proposed method evaluated experimentally and results shows TQWT algorithm has a potential to detect even a small damage (10% stiffness loss) present in the structure.

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Section: Introductionmentioning

confidence: 99%

Novel TQWT Algorithm for Structural Damage Identification

Kumar K *,

Reddy D

2019

IJRTE

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“…This algorithm, which was spired by the competition of colonizing countries on the other colonial countries, doesn't trap in local minima regarding its multiple search for the optimal answers, and due to this point it is used as a powerful tool for solving optimization problems in engineering problems (Hosseini-Moghari, 2015;Masoumi, 2015).…”

Section: Introductionmentioning

confidence: 99%

Path Planning for Unmanned Underwater Vehicle in 3D Space with Obstacles Using Spline-Imperialist Competitive Algorithm and Optimal Interval Type-2 Fuzzy Logic Controller

Zakeri

Farahat

Moezi

et al. 2016

Lat. Am. j. solids struct.

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In this research, generation of a short and smooth path in three-dimensional space with obstacles for guiding an Unmanned Underwater Vehicle (UUV) without collision is investigated. This is done by utilizing spline technique, in which the spline control points positions are determined by Imperialist Competitive Algorithm (ICA) in three-dimensional space such that the shortest possible path from the starting point to the target point without colliding with obstacles is achieved. Furthermore, for guiding the UUV in the generated path, an Interval Type-2 Fuzzy Logic Controller (IT2FLC), the coefficients of which are optimized by considering an objective function that includes quadratic terms of the input forces and state error of the system, is used. Selecting such objective function reduces the control error and also the force applied to the UUV, which consequently leads to reduction of energy consumption. Therefore, by using a special method, desired signals of UUV state are obtained from generated three-dimensional optimal path such that tracking these signals by the controller leads to the tracking of this path by UUV. In this paper, the dynamical model of the UUV, entitled as "mUUV-WJ-1", is derived and its hydrodynamic coefficients are calculated by CFD in order to be used in the simulations. For simulation by the method presented in this study, three environments with different obstacles are intended in order to check the performance of the IT2FLC controller in generating optimal paths for guiding the UUV. In this article, in addition to ICA, Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) are also used for generation of the paths and the results are compared with each other. The results show the appropriate performance of ICA rather than ABC and PSO. Moreover, to evaluate the performance of the IT2FLC, optimal Type-1 Fuzzy Logic Controller (T1FLC) and Proportional Integrator Differentiator (PID) controller are designed and applied to the UUV and compared with each other. The simulation results show the superiority of the IT2FLC than the other two controllers.

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“…Rafiq et al [19] proposed Bayesian networks to diagnose the bridge behavior according to expert evaluations. Masoumi et al [20] constructed finite element model of steel structure and introduced the optimization algorithm to improve diagnostic precision about the modulus of elasticity. Georgoulas et al [21] diagnosed the rotor bar with Markov model on condition that the monitoring data obey the normal distribution.…”

Section: Introductionmentioning

confidence: 99%

Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points

Jiang

2016

Mathematical Problems in Engineering

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The traditional methods of diagnosing dam service status are always suitable for single measuring point. These methods also reflect the local status of dams without merging multisource data effectively, which is not suitable for diagnosing overall service. This study proposes a new method involving multiple points to diagnose dam service status based on joint distribution function. The function, including monitoring data of multiple points, can be established with t-copula function. Therefore, the possibility, which is an important fusing value in different measuring combinations, can be calculated, and the corresponding diagnosing criterion is established with typical small probability theory. Engineering case study indicates that the fusion diagnosis method can be conducted in real time and the abnormal point can be detected, thereby providing a new early warning method for engineering safety.

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Damage diagnosis in steel structures with different noise levels via optimization algorithms

Cited by 7 publications

References 22 publications

Novel TQWT Algorithm for Structural Damage Identification

Novel TQWT Algorithm for Structural Damage Identification

Path Planning for Unmanned Underwater Vehicle in 3D Space with Obstacles Using Spline-Imperialist Competitive Algorithm and Optimal Interval Type-2 Fuzzy Logic Controller

Method of Fusion Diagnosis for Dam Service Status Based on Joint Distribution Function of Multiple Points

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