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In the Construction area, inspections of concrete structure could be carried out using non-destructive tests, such as ultrasonic tomography. Usually, images generated by this technique are improved by means of spatial interpolation data. This research proposes the use of a new spatial interpolation technique in order to generating tomographic images of concrete. This approach was originally used on wood tomographic images and is based on contextual analysis according to the location of the point to be interpolated. Also, it is considered the influence zone of each route obtained in the concrete ultrasonic test. The ultrasonic tests were performed in cylindrical specimens with and without PVC tubes, simulating voids in concrete. The achieved result of our analysis are compared to the ground truth images and those obtained by Inverse Distance Weighting, using accuracy metric and image processing operations. The results indicated high accuracy values (greater than 90%), i.e, the spatial interpolation technique (method) is promising in identifying the presence of voids in concrete elements. [ABSTRACT FROM AUTHOR]

This paper details the development of suitable ultrasonic tomography system that can identify water and solid flow regime. This project presents the application of the ultrasonic tomography in the process and chemical industries. The transmission mode with fan shaped beam projection had been implemented. The system is designing non-invasively that mean the composition in the system can be monitored without disturbing the nature of process in the pipe. The transmission mode for sensing purpose was implemented by using 4 sensors for transmitters and 4 sensors for receivers where 4×4 projections were produced. This project is divided into two parts which are hardware and software. The hardware part is including electronic measurement circuit and fabrication of ultrasonic sensor. Beside, a software part is focusing a coding to microcontroller and circuit design. The data from experimental was analysed and it shows that it can be used to identify water and solid flow regime for ultrasonic tomography application. [ABSTRACT FROM PUBLISHER]

Ultrasonic Tomography has an important role in industry to produce scanned images for various propose. In this paper, producing the cross sectional images of pipe for detecting percentage of attendance of solid, liquid and gas inside the metal pipe has been investigated. The correct method of mounting of Ultrasonic sensors and behavior of the ultrasonic wave propagation in different layers has been simulated by the use of finite element software (COMSOL Multiphysics 3.5). To increase in practical nondestructive evaluation and inspection, we should increase our understanding of the basic physics and wave mechanics associated with guided wave inspection. Finding the proper ultrasonic sensor base on its efficiency is the main step of designing an Ultrasonic Tomography system. This is done by estimating the resonance frequency of sensor due to manner of ultrasonic wave propagation in different frequencies shown in simulation results. Optimum frequency of the system is proposed 45 kHz. [ABSTRACT FROM PUBLISHER]

This paper develops implementation strategy and method to accelerate the propagation and backpropagation (PBP) tomographic imaging algorithm using Graphic Processing Units (GPUs). The Compute Unified Device Architecture (CUDA) programming model is used to develop our parallelized algorithm since the CUDA model allows the user to interact with the GPU resources more efficiently than traditional shader methods. The results show an improvement of more than 80x when compared to the C/C++ version of the algorithm, and 515x when compared to the MATLAB version while achieving high quality imaging for both cases. We test different CUDA kernel configurations in order to measure changes in the processing-time of our algorithm. By examining the acceleration rate and the image quality, we develop an optimal kernel configuration that maximizes the throughput of CUDA implementation for the PBP method. [ABSTRACT FROM PUBLISHER]

This paper develops implementation strategy and method to accelerate the propagation and backpropagation (PBP) tomographic imaging algorithm using Graphic Processing Units (GPUs). The Compute Unified Device Architecture (CUDA) programming model is used to develop our parallelized algorithm since the CUDA model allows the user to interact with the GPU resources more efficiently than traditional shader methods. The results show an improvement of more than 80x when compared to the C/C++ version of the algorithm, and 515x when compared to the MATLAB version while achieving high quality imaging for both cases. We test different CUDA kernel configurations in order to measure changes in the processing-time of our algorithm. By examining the acceleration rate and the image quality, we develop an optimal kernel configuration that maximizes the throughput of CUDA implementation for the PBP method. [ABSTRACT FROM PUBLISHER]