Contents

Russian Journal of Nondestructive Testing


Vol. 61, No. 3, 2025


ACOUSTIC METHODS

Ultrasonic Testing of Acoustic and Elastic Properties of 12Kh18N10T Steel Irradiated with Fast Electrons

A. V. Vasiliev, D. Yu. Biryukov, V. N. Kostin, and A. F. Zatsepin p. 257  abstract

Asymptotics of Ultrasonic Sounding Field in Anisotropic Materials

E. V. Glushkov, and N. V. Glushkova p. 266  abstract

Analysis of the Requirements for Metrological Support of Methods and Means of Ultrasound Control

A. I. Shikhov, K. V. Gogolinsky, A. S. Zubarev, Ya. G. Smorodinsky, D. V. Kopytina, and A. A. Vinogradova p. 280  abstract

Sound Field Simulation to Inspect Flat Bottom Defects in Titanium Alloy Small Diameter Bar Based on Ultrasonic Phased Array Technology

Hong-yuan Shi, Chi Li, Peng Zhou, and Jie Li p. 295  abstract

Corrosion Degradation Assessment of Bridge Cables Using Multiply Scattered Guided Waves

Xin Chen, and Jinsong Zhu p. 309  abstract

High Cycle Fatigue Damage Monitoring Based on Bhattacharyya Coefficient of Acoustic Emission

Qingzhao Zhou, and Bangchun Wen p. 331  abstract


X-RAY METHODS

Development of Methods for Shell and Fuel Layer Characterization of Indirect-Drive Cryogenic Target for Laser Thermonuclear Fusion

E. Yu. Zarubina, M. A. Rogozhina, E. Yu. Solomatina, and I. A. Chugrov p. 343  abstract

Investigation into In Situ Computed Tomography Inspection Technology for Conductor Connection Structure of Ultra-High Voltage Gas-Insulated Transmission Lines

Chao Li, Chaohua Wang, Yongfeng Zhao, Hua Zhu, Weihua Shi, Haopeng Li, Ming Luo, Dongtao Zhu, and Junli Du p. 353  abstract


OTHER NDT METHODS

Real-Time Control of Direct Laser Deposition Process of Inconel 718 Using Laser Emission Spectroscopy

A. A. Golyshev, N. A. Maslov, S. A. Konstantinov, and A. G. Malikov p. 366  abstract


THERMAL METHODS

Terahertz Detection and Evaluation of Thermal Barrier Coating Thickness

Bin Han, Jianchao Li, Qing He, Zhenwei Zhang, Yuejin Zhao, and Huiying Wang p. 374  abstract


OPTICAL METHODS

Attention Based U-Net Network Unified Morphological Active Contour for Accurate Defect Detection in Railways Images

Mohamed Ben Gharsallah, and Mohamed Ben Amara p. 384  abstract