Dynamic Bayesian identification of mechanical parameters of multi-cell curve box girder based on conjugate gradient theory

For multi-cell curve box girder, the finite strip governing equation was derived on the basis of Novozhilov theory and orthogonal property of harmonious function series. Dynamic Bayesian error function of mechanical parameters of multi-cell curve box girder was achieved with Bayesian statistical theory. The corresponding formulas of dynamic Bayesian expectation and variance were obtained. After the one-dimensional optimization search method for the automatic determination of step length of the mechanical parameter was put forward, the optimization identification calculative formulas were also obtained by adopting conjugate gradient method. Then the steps of dynamic Bayesian identification of mechanical parameters of multi-cell curve box girder were stated in detail. Through analysis of a classic example, the dynamic Bayesian identification processes of mechanical parameters are steadily convergent to the true values, which proves that dynamic Bayesian theory and conjugate gradient theory are suitable for the identification calculation and the compiled procedure is correct. It is of significance that the foreknown information of mechanical parameters should be set with reliable practical engineering experiences instead of arbitrary selection.

偏心荷载作用下多室宽箱梁弯扭特性分析

通过建立不同箱室数量和宽跨比的单箱多室宽箱梁的有限元模型,分析了宽箱梁在扭转荷载和偏心荷载作用下的剪力流和竖向位移分布。研究结果表明:多室宽箱梁整体扭转刚度大,扭转荷载作用下主要呈整体扭转变形;偏心荷载作用下,多室宽箱梁弯扭效应由整体的竖向弯曲和整体扭转两部分组成;由于箱室宽度较大,偏心荷载作用下扭转剪力流效应明显,应重视各腹板剪力的不均匀分布。