Ultrasonic computerized tomography is a promising technique for damage detection by enabling ultrasonic waves via multiple measurement paths leading to accurate localization of structural damage. Unlike traditional ultrasonic computerized tomography that requires numerous measurements and costly computation, a compressive sampling advancing both the measuring phase and the imaging phase is proposed in this study to achieve accurate identification with no low-speed traditional ultrasonic computerized tomography technique measurements or costly computation in real-world applications. The proposed rapid ultrasonic computerized tomography approach advances both the measuring phase and the imaging phase. In the measuring phase, far few ultrasonic measurement paths are randomly selected to capture the characteristics of the ultrasonic waves carrying the underlying damaged information. And in the imaging phase, ℓ₁-norm minimization optimization algorithm is used to reconstruct the internal damage, rendering the sparest solution related to the physical damages. The functionality of the proposed approach is validated by both numerical simulation and experimental testing. The results indicate that the improved ultrasonic computerized tomography technique in compressive sampling framework has a great potential for rapid damage detection, which is a game-changing technique for accurate and cost-efficient damage detection in real-world applications.

超声波计算机断层扫描是一种有前途的损伤检测技术，它可以通过多个测量路径启用超声波，从而精确定位结构损伤。与需要大量测量和昂贵计算的传统超声计算机断层扫描不同，本研究提出了在测量阶段和成像阶段均进行的压缩采样，以实现无需低速传统超声计算机断层扫描技术测量或实际昂贵计算的精确识别。世界的应用程序。所提出的快速超声计算机断层摄影方法推进了测量阶段和成像阶段。在测量阶段 随机选择了很少的超声测量路径来捕获携带潜在损坏信息的超声波的特征。在成像阶段ℓ _1个范数最小化的优化算法被用于重建的内部损坏，使相关的物理损坏sparest溶液。数值模拟和实验测试均验证了该方法的功能。结果表明，在压缩采样框架中改进的超声计算机断层扫描技术具有快速损伤检测的巨大潜力，这是在实际应用中准确且经济高效地检测损伤的一种改变游戏规则的技术。