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On the modelling of initial geometric imperfections of steel frames in advanced analysis
Abstract Steel structural members and frames always indicate imperfections to various degrees. These include initial out-of-straightness and initial out-of-plumb due to manufacturing and erection tolerances. In general, the shape and magnitude of geometric imperfections may have a significant influence on the response of a structure, and hence need to be modelled accurately when determining the load carrying capacity of a steel frame by advanced structural analysis. Most conveniently, geometric imperfections can be introduced in structural models as scaled eigenmodes obtained a priori from an elastic buckling analysis. However, it remains unanswered how many eigenmodes need to be incorporated and how to choose the scaling factors of each mode. This paper presents a study of how the strength of steel frames varies with the number and magnitudes of eigenmodes. Frames with random geometric imperfections are produced using the statistics of measurements of out-of-plumb and member imperfections, and analysed using advanced geometric and material nonlinear analysis. The imperfections are then resolved into eigenmodes and a second set of advanced analysis is carried out using a finite number of modes to represent the imperfections. Conclusions are drawn about the appropriate number and magnitudes of eigenmodes to use in advanced structural analyses of steel frames.
Highlights Imperfections are modeled as a combination of scaled frame buckling modes. Statistical information of imperfections is obtained from the literature. A probabilistic method is used to determine the number of the buckling modes. A probabilistic method is used to determine the magnitudes of the buckling modes. The effects on frame strength of geometric imperfections are examined. The proposed method is demonstrated by a number of case studies.
On the modelling of initial geometric imperfections of steel frames in advanced analysis
Abstract Steel structural members and frames always indicate imperfections to various degrees. These include initial out-of-straightness and initial out-of-plumb due to manufacturing and erection tolerances. In general, the shape and magnitude of geometric imperfections may have a significant influence on the response of a structure, and hence need to be modelled accurately when determining the load carrying capacity of a steel frame by advanced structural analysis. Most conveniently, geometric imperfections can be introduced in structural models as scaled eigenmodes obtained a priori from an elastic buckling analysis. However, it remains unanswered how many eigenmodes need to be incorporated and how to choose the scaling factors of each mode. This paper presents a study of how the strength of steel frames varies with the number and magnitudes of eigenmodes. Frames with random geometric imperfections are produced using the statistics of measurements of out-of-plumb and member imperfections, and analysed using advanced geometric and material nonlinear analysis. The imperfections are then resolved into eigenmodes and a second set of advanced analysis is carried out using a finite number of modes to represent the imperfections. Conclusions are drawn about the appropriate number and magnitudes of eigenmodes to use in advanced structural analyses of steel frames.
Highlights Imperfections are modeled as a combination of scaled frame buckling modes. Statistical information of imperfections is obtained from the literature. A probabilistic method is used to determine the number of the buckling modes. A probabilistic method is used to determine the magnitudes of the buckling modes. The effects on frame strength of geometric imperfections are examined. The proposed method is demonstrated by a number of case studies.
On the modelling of initial geometric imperfections of steel frames in advanced analysis
Shayan, Shabnam (author) / Rasmussen, Kim J.R. (author) / Zhang, Hao (author)
Journal of Constructional Steel Research ; 98 ; 167-177
2014-02-25
11 pages
Article (Journal)
Electronic Resource
English
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