Abstract
Experimental tests show that most eccentrically patch loaded steel I-girders have a collapse mode quite different from that of centrically loaded girders. Concerning engineering practice, the most important difference between collapse modes is in ultimate load. The reduction in ultimate load with an increase in load eccentricity is obvious in some eccentrically loaded girders. Under certain circumstances, for a certain combination of influential parameters, eccentrically loaded girders behave as if loaded in the web plane, with no or no significant reduction in ultimate load due to load eccentricity. Dealing with such a big number of mutually dependant parameters that influence collapse mode and level of ultimate load reduction due to load eccentricity, still without theoretical formulation of collapse mechanism, two approaches for ultimate load determination are analysed: empirical mathematical expressions and artificial neural networks forecast models. Results of two procedures are compared. Recommendations for application in engineering practice are given.
Highlights
Patch loading acts locally, over a small area or length of a structural element
Over a small area or length of a structural element. It is a common situation in structural engineering that local compressive load affects the flange of steel I-girder so that the web is compressed in the region below the applied load
Concerning engineering practice, the most important difference between collapse modes is in ultimate load
Summary
Over a small area or length of a structural element. It is a common situation in structural engineering that local compressive load affects the flange of steel I-girder so that the web is compressed in the region below the applied load. Even for the highest load eccentricity (e = 25 mm, i.e. e/ bf = 1/6 in tested girders (8); series EB I and EB XI, Table 1), girders of certain geometry behaved as if there is no eccentricity With such a big number of mutually dependant parameters that influence collapse mode and level of ultimate load reduction due to load eccentricity, still without formulation of collapse mechanism, two approaches for ultimate load determination are suitable: empirical mathematical expressions (3) (8) (9) (10) and artificial neural networks (ANN) forecast models (8). Both methods are based on experimental and/or FEM experience, their application is limited to cases from experimental and/or FEM data domain and every future experimental and/or FEM testing should be followed by their revision and adjusting in order to improve their accuracy
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