The building structures’ bearing capacity assessment with the nomogram method
Autor(en): |
N. V. Pirumyan
M. G. Stakyan |
---|---|
Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | IOP Conference Series: Materials Science and Engineering, 1 August 2020, n. 2, v. 913 |
Seite(n): | 022035 |
DOI: | 10.1088/1757-899x/913/2/022035 |
Abstrakt: |
The complex assessments of the main jointly acting and heterogeneous factors (geometric parameters, stress concentration, surface hardening and compressive stresses) on the building structures elements and units’ fatigue resistance, which in early studies were taken into account in a differential way, are considered. In this paper, for the factors’ complex assessments, the method of prioritizing the choice of one of them, which is dictated by the requirements for building structures (design, technological, operational, technical maintenance, repair and restoration), is adopted. As a priority factor, in particular, the technology of surface hardening is considered, the use of which significantly increases the structural elements’ bearing capacity and allows the application of relatively cheap low - and medium-carbon structural steels as the main material. Using the method of system analysis, the classification and grouping of the parameters of these factors and fatigue resistance indicators was performed and their database was created. The statistical data processing was performed and the regression equations between the specified parameters and indicators were obtained. Using the principle of the priority of factors, systems, the obtained equations for applying the interrelated values of these indicators in calculations for the bearing capacity of structural elements are formed. Using the equations of the obtained systems in I…IV quadrants using the grid (x,y), considering the logical sequence of determining the fatigue resistance and the priority influencing factor’s principle, by means of the nomogram method three nomograms are composed, with the priority to the factors considered, which allow to determine the whole complex of these indicators promptly and taking into consideration the production environment by the simple graphical constructions means. |
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02.06.2022