Development of a vehicle-bridge-soil dynamic interaction model for scour damage modelling

Prendergast, L. J.; Hester, D.; Gavin, K.

Abstract

Damage detection in bridges using vibration-based methods is an area of growing research interest. Improved assessment
methodologies combined with state-of-the-art sensor technology are rapidly making these approaches applicable for real-world
structures. Applying these techniques to the detection and monitoring of scour around bridge foundations has remained
challenging; however this area has gained attraction in recent years. Several authors have investigated a range of methods but
there is still significant work required to achieve a rounded and widely applicable methodology to detect and monitor scour. This
paper presents a novel Vehicle-Bridge-Soil Dynamic Interaction (VBSDI) model which can be used to simulate the effect of scour
on an integral bridge. The model outputs dynamic signals which can be analysed to determine modal parameters and the variation
of these parameters with respect to scour can be examined. The key novelty of this model is that it is the first numerical model for
simulating scour that combines a realistic vehicle loading model with a robust foundation soil response model.This paper provides a
description of the model development and explains the mathematical theory underlying the model. Finally a case study application
of the model using typical bridge, soil, and vehicle properties is provided.

Citation

Prendergast, L. J., Hester, D., & Gavin, K. (2016). Development of a vehicle-bridge-soil dynamic interaction model for scour damage modelling. Shock and Vibration, 2016, 1-15. https://doi.org/10.1155/2016/7871089

• Journal Article Type: Article
• Acceptance Date: Aug 23, 2015
• Publication Date: 2016
• Deposit Date: Aug 21, 2018
• Publicly Available Date: Aug 22, 2018
• Journal: Shock and Vibration
• Print ISSN: 1070-9622
• Electronic ISSN: 1875-9203
• Publisher: Hindawi Publishing Corporation
• Peer Reviewed: Peer Reviewed
• Volume: 2016
• Article Number: 7871089
• Pages: 1-15
• DOI: https://doi.org/10.1155/2016/7871089
• Public URL: https://nottingham-repository.worktribe.com/output/1042160