Anomaly Diagnosis of Bridge Piers Using an Acceleration Pickup

Vulnerability Reduction for Bridge Piers

Prediction of scour depth around bridge piers using Gaussian process

A reliable prognostics framework is essential to prevent catastrophic failure of bridges due to scour. In the U.S., scour accounts for almost 60% of bridge failures. Currently available techniques in the literature for predicting scour are mostly based on empirical equations and deterministic regression models, like Neural Networks and Support Vector Machines, and do not predict the evolution o...

Estimating piping around bridge piers using the SSIIM software

Estimating maximum scour depth is normally required in order to determine the depth of  bridge piles. The present paper uses the SSIIM Software which considers flow and sediment equations in a three dimensional manner. The software models flow field around circular bridge pile by resolving Navier-Stokes three-dimensional equations and k-  method, and by temporary solution of flow field and cont...

Investigating Effect of Netted Collars on Scouring Around Bridge Piers Using Flow-3D

The present study used Flow-3D to investigate the effect of installing netted collars with different shapes on bridge piers. The results showed that installing netted triangular, circular, square, and rectangular collars with a hole diameter of 0.1 (d/D) reduced scouring by 49.5, 52.2, 52.7, and 56.5 percent, respectively, compared to the case with no collars. A hole diameter of 0.15 (d/D) for ...

Design of Riprap Stone Around Bridge Piers Using Empirical and Neural Network Method

An attempt was made to develop a method for sizing stable riprap around bridge piers based on a huge amount of experimental data, which is available in the literature. All available experimental data for circular as well as round-nose-and-tail rectangular piers were collected. The data for rectangular piers, with different aspect ratios, aligned with the flow or skewed at different angles to th...