ANALYSIS AND PREDICTION OF MULTIPLE-CRACKED PLASTIC BEAM
Copyright policy )ANALYSIS AND PREDICTION OF MULTIPLE-CRACKED PLASTIC BEAM
This paper presents a method for identification of location and depth of a crack in a cantilever beam by means of a genetic algorithm based on the signs of crack identification are beams natural frequencies. The cracked element stiffness matrix is based on the theory that local flexibility goes up because of the appearance of cracks. Crack location and depth is identified by minimizing fitness function, which performs difference between natural frequencies calculated and measured. Results show that this method helps to make prediction with high accuracy and converging speed.
- University of Technology Russian Federation
- HUTECH University Viet Nam
Finite element method, Flexibility (engineering), FOS: Mechanical engineering, Structural engineering, Fitness function, Structural Damage Detection, Cantilever, Structural Health Monitoring Techniques, Fabric Defect Detection in Industrial Applications, Vibration, Industrial and Manufacturing Engineering, Stiffness, Identification (biology), Engineering, Stiffness matrix, Machine learning, FOS: Mathematics, Biology, Civil and Structural Engineering, Vibration-based Damage Identification, Mechanical Engineering, Physics, Statistics, Botany, Acoustics, Fabric Defect Detection, Computer science, Materials science, Genetic algorithm, Flexibility method, Physical Sciences, Wafer Map Defect Classification, Beam (structure), Natural frequency, Surface Defect Detection, Dimensional Metrology and Error Compensation, Mathematics
Finite element method, Flexibility (engineering), FOS: Mechanical engineering, Structural engineering, Fitness function, Structural Damage Detection, Cantilever, Structural Health Monitoring Techniques, Fabric Defect Detection in Industrial Applications, Vibration, Industrial and Manufacturing Engineering, Stiffness, Identification (biology), Engineering, Stiffness matrix, Machine learning, FOS: Mathematics, Biology, Civil and Structural Engineering, Vibration-based Damage Identification, Mechanical Engineering, Physics, Statistics, Botany, Acoustics, Fabric Defect Detection, Computer science, Materials science, Genetic algorithm, Flexibility method, Physical Sciences, Wafer Map Defect Classification, Beam (structure), Natural frequency, Surface Defect Detection, Dimensional Metrology and Error Compensation, Mathematics
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