non-destructive testing

Detection and identification of inclusions in the modeling of stationary processes is a crucial task in many technical fields, including materials science, electronics, and non-destructive testing. The presence of inclusions can affect the mechanical, thermal, and electrical properties of a material, making the accurate determination of their geometric and physical characteristics essential. The use of modern numerical methods and deep learning techniques opens new opportunities for improving the efficiency and accuracy of prediction results.

The case of determining the serviceability of bridge beams with manufacturing defects is considered. Based on the results of visual inspection and non-destructive testing, it was found that the defects have a minor impact on the performance of the beams, and the characteristics of the building materials are high. The results of the calculations showed that the beams had almost twice the safety margin compared to the design requirements. The results of field tests of beams showed reliable anchoring of the working reinforcement, proper deformability and crack resistance of the beams.

In many cases, visual and optical methods can be used in defectoscopy for different materials and products. With the development of microprocessor components and significant expansion of usage of computer technologies and image processing and analysis techniques in different areas, the use of visual and optical methods in defectoscopy for production and research purposes is rapidly developing.

Magnetic flaw detection is one of the best methods of testing with ferromagnetic properties. It combines high sensitivity and probability of detection of internal and subsurface defects with low cost and ease of implementation. However, there are cases where traditional methods of non-destructive magnetic control is ineffective. Connections of steel structural elements welding method associated with the change of geometric dimensions and shape of the product, and therefore needed to control their use of other methods.