Dynamic Investigation of FRP Cracked Beam Using Neural Network Technique

Jena, Pankaj Charan; Parhi, Dayal R.; Pohit, G.

doi:10.1007/s42417-019-00158-5

Cited by 32 publications

(33 citation statements)

References 13 publications

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“…The efficacy of the proposed framework is demonstrated through two numerical examples -an academic bladed disc system and an industrial turbine rotor blade. Jena [15][16][17][18][19][20][21][22][23] aims at the failure of fiber reinforced composite beam structure when cracks appear. The effects of fiber orientation on FRP composite beams under different crack positions and crack depths are evaluated by analytical method, finite element method and Sugeno fuzzy method.…”

Section: Introductionmentioning

confidence: 99%

Vibration characteristics of mistuned multistage bladed disks of the aero-engine compressor

Zhang¹,

Feng²,

You³

et al. 2022

J. vibroeng.

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In order to analyze the vibration characteristics of mistuned multistage bladed disks of an aero-engine compressor, a finite element reduction model of mistuned multistage bladed disks is established based on substructure modal synthesis method. The accuracy of the substructure model was verified by comparing calculation accuracy of the substructure model and the integral model. The influence of different modal truncation numbers on the calculation results are discussed. The vibration modes of each stage of the bladed disks are obtained, the forced response is analyzed from the perspective of strain energy. The result shows that modal truncation number, rotation softening effect, and speed have significant effects on the dynamic frequency calculation results of the multistage bladed disks. The typical mode shapes of the first 200 orders of multistage bladed disks are obtained. With the increase of mistuning standard deviation, the strain energy of multistage bladed disk system decreases gradually.

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Section: Introductionmentioning

confidence: 99%

Vibration characteristics of mistuned multistage bladed disks of the aero-engine compressor

Zhang¹,

Feng²,

You³

et al. 2022

J. vibroeng.

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“…In neural network [107][108][109][110][111] inputs are given to the neurons in input layers and output is obtained from neuron in output layer. Neural networks [112][113][114][115][116] have been used efficiently for robot navigation control of robot. Using Bat algorithm [117] researchers have tried to solve robot path planning problem.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of Automated Transport and Path Planning for Robots in Cluttered Environments using Novel Hybrid Average Genetic-Neural Control Technique

2021

CERJ

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In the current investigation on automated transport and navigational path planning of robots, a new Hybrid Average Genetic-Neural (HAGN) technique has been developed. The HAGN technique uses genetic algorithm and multi layered neural technique as important parts for its development. The robots are equipped with several sensors to map the surrounding environments and to recognize the obstacles and targets around. During the navigation robots take into account front, left and right obstacle distances obtained from sensors to negotiate with obstacles and reach targets with the help of HAGN technique. To prove authenticity of the proposed method several simulation and experimental exercises have been carried out. Comparisons between simulation and experimental results are presented in pictorial and tabular forms. The deviation between simulation and experimental results are found to be within 2.8%. Other engineering applications can also be addressed using HAGN AI technique.

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“…Papers [73][74][75][76][77] have discussed about neural networks for navigational control of mobile robots in highly cluttered environments. Neural networks [78][79][80][81][82] can be efficiently used for solving various engineering problems along with problems related to robots' control. Potential energy attraction has been used by scientists and engineers to model artificial intelligence potential field method for solving various engineering problems.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Review of Average Fuzzy Inference Technique and Other AI Techniques Used for Robot Control and Navigation

R¹,

Chidananda

2020

CTCSA

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In this paper application of average fuzzy inference technique has been analysed for navigation control of robotic agent. Also, the reviews of other AI techniques for control of robots are carried out. The robotic agent uses sensors to map the surroundings and take the decision with the help of Fuzzy AI technique to avoid obstacles. In this paper a novel averaging method has been deployed to optimize the results obtained from various fuzzy membership functions. Using the Average Fuzzy Inference technique robot navigates from start position to goal position avoiding obstacles while reaching the target. The simulation results agree with experimental results. The methodology can be used for various applications by the scientific communities to address various engineering problems.

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Dynamic Investigation of FRP Cracked Beam Using Neural Network Technique

Cited by 32 publications

References 13 publications

Vibration characteristics of mistuned multistage bladed disks of the aero-engine compressor

Vibration characteristics of mistuned multistage bladed disks of the aero-engine compressor

Analysis and Design of Automated Transport and Path Planning for Robots in Cluttered Environments using Novel Hybrid Average Genetic-Neural Control Technique

Analysis and Review of Average Fuzzy Inference Technique and Other AI Techniques Used for Robot Control and Navigation

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