Technical Papers
May 16, 2019

Efficient Two-Way Shear Grillage Model Solution for Bridge RC Four-Pile Caps under Wall Loading

Publication: Journal of Bridge Engineering
Volume 24, Issue 8

Abstract

Reinforced concrete four-pile caps under wall loading occur in heavily loaded foundations in bridge construction. The failure mode of shear across the full width of the cap may occur in these deep structural elements. A statically determinate two-way grillage model, comprising orthogonal deep beam grillage elements obeying a predetermined test observing deflection pattern and boundary conditions, is established to solve the structure’s shear capacity. The model gives more accurate and faster solutions than the traditional strut-and-tie method and commercial nonlinear numerical modeling. A key step to solving the model is a linear constitutive (load-deflection) relationship developed for the grillage elements. The grillage model is verified against laboratory experiments for nine pile caps at the University of Southampton (UoS) with the results of a numerical modeling parametric study. A Visual Basic Userform-based design software is developed, incorporating the model and enabling engineers to obtain the shear capacity, full-field reinforcement stress distribution, and cap deflections within seconds.

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Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 24Issue 8August 2019

History

Received: Aug 1, 2018
Accepted: Feb 7, 2019
Published online: May 16, 2019
Published in print: Aug 1, 2019
Discussion open until: Oct 16, 2019

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Authors

Affiliations

Jing Cao, Ph.D. [email protected]
Senior Structural Engineer, HERA House, 17-19 Gladding Place, Manukau City, Auckland 2104, New Zealand (corresponding author). Email: [email protected]
Alan G. Bloodworth, Ph.D. [email protected]
Associate Professor, School of Engineering, Univ. of Warwick, Library Road, Coventry CV4 7AL, UK. Email: [email protected]
Ming Xu, Ph.D. [email protected]
Associate Professor, Dept. of Civil Engineering, Underground Engineering Research Group, Tsinghua Univ., Beijing 100084, China. Email: [email protected]

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