Nanotechnologies of Strength Control of Materials

Abstract

The strength of materials is determined by their atomic molecular structure and the process of decay of atomic molecular bonds, which must be taken into account when optimizing materials strength control technologies. The fracture photomicrograph of metal microdamage of welded joint at various moments of time, a multilevel model of flow of acoustic emission signals of materials are presented. The physical meaning, the scale level of parameters included in the model are revealed. The structure of the mathematical model of the flow of AE signals with components of its informative elements of different scale level by strength characteristics of structural materials and resource of technical objects is shown. The multilevel model of the AE signal flow is hierarchically structured, obtained by generalizing deterministic-statistical variability. It describes the process of randomly recording deterministic accumulated damages in the material both before and after the formation of a crack at the stage of waiting for its next leap. It is shown that the proposed nanotechnology of strength control of materials is reduced to non-destructive determination of parameters of prognostic homogeneous destruction, identification of which is based on multilevel modeling of time dependence of micro-crack formation, formulation of criterion of strength homogeneity, registration of AE parameters related to the model of a specific product, which can be automated processing of registration results and determination of universal strength nanoconstants from already published reference data of fatigue tests of standard material samples.

Advances in Machine Learning Techniques Used in Fatigue Life Prediction of Welded Structures

“…Merging a model with a monitoring system while creating a maintenance decision model for a bridge has a considerable impact on the conclusions' level of uncertainty, even for aspects of the bridge that are not monitored. Meanwhile, the Bayesian technique produces statistical distributions for the formation of fatigue cracks, and equally compute failure probability [95,100].…”

“…Rocher et al [94] created a two-scale non-deterministic time-variant fatigue model for offshore steel wind turbines utilizing records from SHM. Nosov et al [95] created nanotechnologies for controlling material strength. This nanotechnology arbitrarily records the accrued damages in the material both prior to and after the formation of cracks in the waiting phase for its next leap.…”

Evaluating the Effectiveness of Magnetic-Pulse Treatment for Healing Continuity Defects in the Metal of Oil and Gas Pipelines

“…occur in their structure. The nucleation, growth, and accumulation of these defects in the metal structure lead to a decrease in the ability of the metal to resist deformation due to the loss of plasticity [1][2][3][4].…”

The Study of Metal Corrosion Resistance near Weld Joints When Erecting Building and Structures Composed of Precast Structures

“…Currently, research is continuing in the field of corrosion of bimetallic metal compounds, a good example of which are the works [12,13]. A number of works are related to the general problems of assessing the mechanical strength of materials, including those of welds [14,15] and practical methods of control [16,17]. The modern technique of corrosion control is also discussed in papers [18,19].…”

“…All the above-mentioned factors can increase the metal corrosion. Currently, effective methods of quality control of welding joints [13][14][15][16][17][18][19][20][21][22][23] as well as the remote monitoring of the operational characteristics of structures have already been developed. Recently, intensive research has also been conducted aimed at the early detection of corrosion [18,19].…”