@article {bnh-8149, title = {Damage integrated performance modelling of steel plate girders at elevated temperature}, journal = {Journal of Constructional Steel Research}, volume = {185}, year = {2021}, month = {07/2021}, abstract = {

The design of thin-walled steel plate girder cross-sections is considerably governed by the web instabilities driven by the phenomenon called shear buckling. Change of web geometry due to the partial loss of material in the form of local corrosion of web panels or the loss of mechanical properties caused by elevated temperature amplifies the shear buckling behaviour of girders leading to the loss of ultimate shear capacity significantly. Moreover, steel plate girders with low fire resistance due to their high thermal conductivity and thermal expansion are equally vulnerable to corrosion when exposed to detrimental environmental conditions. This research investigated how the standard fire resistance and elevated temperature buckling resistance of steel plate girders can be affected by the corrosion induced structural deterioration. An advanced Finite Element (FE) modelling procedure was used to evaluate the behaviour of steel plate girders shear behaviour. Some commonly encountered corrosion patterns reported in the literature were simulated. Results revealed both the position and the severity of damage is important for the fire resistance degradation resulting from the reduction in the shear capacity of thin-walled steel girders. Results were also compared with the EN 1993-1-5 design guidelines to achieve a modified formulation. This comparison revealed that depending upon the position and the extent of the corrosion level, the web contribution factor to the shear buckling resistance of a steel plate girder can fall below the Eurocode design guidelines.

}, keywords = {Corrosion damage, Elevated temperature, numerical simulations, Shear buckling, Standard fire resistance, Steel plate girders, Ultimate shear capacity}, doi = {https://doi.org/10.1016/j.jcsr.2021.106821}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0143974X21003035}, author = {Amila Dissanayake and Srikanth Venkatesana and Dilan Roberta and Sujeeva Setunge} } @article {bnh-7881, title = {Development of fragility functions for rigid-frame bridges subjected to tsunami-induced hydrodynamic forces}, journal = {Structure and Infrastructure Engineering}, year = {2021}, month = {03/2021}, abstract = {

The rigid-frame bridges with a fully continuous moment connection between the superstructure and substructure piers are suitable for high-seismic regions; however, research on the response of these bridge types under tsunami loads is limited. This paper presents a framework for developing fragility functions of coastal rigid-frame bridges, and bridges with strong pier-to-deck connectivity, undergoing tsunami-induced hydrodynamic loads. The fragility analysis is demonstrated on a three-span reinforced concrete (RC) bridge structure with double-column bents. The Monte Carlo simulation is implemented to consider the uncertainties in capacity and demand parameters. The efficiency of single-parameter and two-parameter intensity measures for predicting the response of bridges is examined. The viability of strengthening bridge piers using fiber-reinforced polymer (FRP) is also investigated. The results indicate that the use of two-parameter intensity measures is a better option to estimate the structural response since the hydrodynamic forces are a function of both the flow depth and velocity. This also leads to a significant reduction in the scatter of fragility data. The comparative assessment of the initial and FRP-strengthened bridges highlights that the FRP-jacketing is an effective method in reducing the risk of failure of the rigid-frame bridges.

}, keywords = {Coastal bridges, fiber-reinforced polymers, fragility model, hydrodynamic loads, numerical simulations, strengthening, structural safety, tsunami}, doi = {https://doi.org/10.1080/15732479.2021.1892774}, url = {https://www.tandfonline.com/doi/full/10.1080/15732479.2021.1892774}, author = {Ismail Qeshta and Javad Hashemi and M. Reza Hashemi and Rebecca Gravina and Sujeeva Setunge} }