Transactions of Nanjing University of Aeronautics & Astronautics
Ultrasonic Computed Tomography Imaging Method of Concrete Materials Based on Simulated Annealing Genetic Algorithm
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Abstract:
Stability and accuracy of the imaging results are still unmet practical demands for ultrasonic computed tomography (CT) of concrete material. To address these issues, a CT technique based on simulated annealing genetic algorithm (SAGA) is presented in this work. Firstly, a natural weight matrix with clear physical meaning is introduced in the inverse algorithm and then a quadric broadening objective function is formed according to the propagation characteristics of ultrasound in concrete. After that, the simulated annealing (SA) searching is added to speed up the inverse process and to improve the convergence and stability of the algorithm. Finally, the ptimal inverse imaging results have been achieved by variable ectopic adaptive genetic algorithm. The numerical simulation experiments have shown that the usage of the correct priori information and the excellent characteristic of SAGA in searching the global minimum value of the function have produced accurate and effective results with stable umerical values. The imaging resolution is improved and the imagining results reflecting the inner defections of the tested objects are more reliable and accurate.
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Project Supported:
he National Natural Science Foundation of China (No. 11264032), the Aeronautical Science Foundation of China (No.2014ZD56007), the Science and Technology Project of General Administration of Quality Supervision, Inspection and Quarantine of China (No.2013zjjz180), the Natural Science Foundation of Jiangxi Province No.20122BAB201024), the Science and Technology Project of the Education Department of Jiangxi Province (No.GJJ14530) , the Innovation Foundation of Shanghai Aerospace (SAST201364), and the Graduate Innovation Foundation of Nanchang Hangkong University (No.YC2013010)
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