Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Two Stochastic Methods to Model Initial Geometrical Imperfections of Steel Frame Structures

Version 1 : Received: 21 December 2023 / Approved: 22 December 2023 / Online: 22 December 2023 (12:30:26 CET)

A peer-reviewed article of this Preprint also exists.

Jindra, D.; Kala, Z.; Kala, J. Two Stochastic Methods to Model Initial Geometrical Imperfections of Steel Frame Structures. Buildings 2024, 14, 196. Jindra, D.; Kala, Z.; Kala, J. Two Stochastic Methods to Model Initial Geometrical Imperfections of Steel Frame Structures. Buildings 2024, 14, 196.

Abstract

Stochastic modelling of geometrically imperfect steel frame structures requires inputs of statistical values of the imperfection parameters, in some cases also with suitably selected mutual correlations between these input parameters. The paper presents a verification study of two stochastic methods to directly model the initial global geometrical imperfections of the steel frame structures. The stochastic input values of geometrical imperfections are derived from the tolerance criteria of the corresponding European Standard. Two advanced stochastic methods have been developed, referred as #RSS (random story sway) and #RSP (random story position). These methods are verified using random sampling simulations. This study provides useful provisions for the advanced numerical analyses of multi-story steel frames of various geometries. The proposed methods are verified for equidistant story heights and for structures of up to 24 stories, hence might be used for the most types of the standard steel frame structures.

Keywords

multi-story steel frames; initial geometrical imperfections; erection tolerances; correlations; first order reliability method

Subject

Engineering, Civil Engineering

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