Ultimate compressive strength of deteriorated steel web plate with pitting and uniform corrosion wastage

Abstract

Abstract. Steel structural members are likely to be exposed to corrosive environments and thus, corrosion is one of the dominant life-limiting factors of steel structures. Extensive studies on the e ects of pitting and uniform corrosion on the strength performance of steel structural members under a wide variety of loading conditions have been undertaken to assess the relationship between pitting corrosion intensity and residual strength. The aim of this study is to investigate the ultimate compressive strength characteristics of steel web plate elements with pit and uniform corrosion wastage. A series of ABAQUS nonlinear elastic-plastic large deformation nite element analyses are carried out on Ishaped section steel girder models with varying pitting corrosion intensities. Arti cial pitting of di erent intensities is considered on the web plates and a uniform loading is applied vertically on the upper ange section. The ultimate load-carrying capacity of the deteriorated models with di erent levels of uniform thickness loss is also studied. The results are applied to the assessment of the ultimate compressive strength of web plates with di erent pitting corrosion intensities and a uniform loss thickness by developing design formulae that represent the average loss thickness versus the ultimate load-carrying capacity.

Buckling resistance of hot‐finished CHS beam‐columns using FE modelling and machine learning

“…The quality of the predicted output results principally depends on the number of neuron and the quality and quantity of the input data used to train the ANN. The use of ANN has been becoming increasingly popular in predicting various structural behaviour in constructional steel elements, including composite columns [25][26][27], beams [28][29][30][31], steel connections [32][33][34], frames [35], steel plates [36][37][38], cellular and castellated steel beam [39][40][41][42][43][44], cold-formed CHS beam-columns [45] and stainless steel reinforcement [46]. However, there is currently no available ANN research (at least in the available domain) on hot-finished CHS beamcolumns.…”

Neural networks for lateral torsional buckling strength assessment of cellular steel I-beams

“…LTB and local buckling are the characteristic buckling modes of the long-span and short-span beams, respectively. Also, in the beams with intermediate length, stocky flanges, and slender web, the overall lateral deformation of the beam may be accompanied by web distortions and create new buckling mode called LDB (Sharifi, 2011; Sharifi et al, 2016; Sharifi and Paik, 2010, 2011, 2014).…”