Fracture mechanics analysis of the effect of clamping stress on the fatigue life of riveted built-up railroad girders under variable amplitude loading

Martinez, Jackeline Kafie; Keating, Peter B.; Montenegro, Pedro Aires; Correia, José A.F.O.

doi:10.1016/j.engfailanal.2020.104812

Cited by 7 publications

(1 citation statement)

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“…ird, the stiffness of the connections among the deck plate, longitudinal rib, and diaphragm are quite different, resulting in uncoordinated deformation. When combined deformation of out-of-plane bending and torsion occurs at the diaphragm due to the wheel load effects, a stress concentration can be generated at the rib-to-diaphragm details because of the restraint of the longitudinal rib on the diaphragm's lateral deformation, and the fatigue performance will be weakened [8,9].…”

Section: Introductionmentioning

confidence: 99%

Optimization Analysis Method of New Orthotropic Steel Deck Based on Backpropagation Neural Network‐Simulated Annealing Algorithm

Shi

et al. 2021

Advances in Civil Engineering

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To study the effects of the fatigue performance due to the major design parameter of the orthotropic steel deck and to obtain a better design parameter, a construction parameter optimization method based on a backpropagation neural network (BPNN) and simulated annealing (SA) algorithm was proposed. First, the finite element (FE) model was established, and the numerical results were validated against available full-scale fatigue experimental data. Then, by calculating the influence surface of each fatigue detail, the most unfavorable loading position of each fatigue detail was obtained. After that, combined with the data from actual engineering applications, the weight coefficient of each fatigue detail was calculated by an analytic hierarchy process (AHP). Finally, to minimize the comprehensive stress amplitude, a BPNN and SA algorithm were used to optimize the construction parameters, and the optimization results for the conventional weight coefficients were compared with the construction parameters. It can be concluded that compared with the FE method through single-parameter optimization, the BPNN and SA method can synthetically optimize multiple parameters. In addition, compared with the common weighting coefficients, the weighting coefficients proposed in this paper can be better optimized for vulnerable parts. The optimized fatigue detail stress amplitude is minimized, and the optimization results are reliable. For these reasons, the parameter optimization method presented in this paper can be used for other similar applications.

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Section: Introductionmentioning

confidence: 99%