Details of Grant 

EPSRC Reference:	GR/L48096/01
Title:	BRIDGE DESIGN: COMPUTATIONAL MODELLING OF BRIDGE DECK INSTABILITIES DUE TO CROSS WINDS
Principal Investigator:	Bearman, Professor PW
Other Investigators:	Sherwin, Professor S
Researcher Co-Investigators:
Project Partners:	Flint and Neill Pre Nexus Migration
Department:	Aeronautics
Organisation:	Imperial College London
Scheme:	Standard Research (Pre-FEC)
Starts:	02 February 1998	Ends:	01 July 2001	Value (£):	137,433
EPSRC Research Topic Classifications:	Aerodynamics
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:
Summary on Grant Application Form
The construction of a modern long-span bridge can cost in excess of 250 million and new design strategies using lighter materials and improved construction techniques are continually being developed. However, these design methods may lead to bridge decks being more susceptible to wind-induced oscillations. Traditionally, the aerodynamic stability of bridge decks is established by carrying out numerous wind tunnel tests however computational fluid dynamics (CFD) also has the potential to provide the engineer with the necessary information to ensure safe economical designs. To develop such a computational tool and encourage its wide-spread usage in the industrial workplace requires accurate computational techniques. High accuracy is necessary to provide solution integrity as well as the need to tackle complicated design issues involving unsteady flows. Recent developments in flow algorithms have permitted the use of higher order finite element methods known as hp finite element techniques to stimulate the unsteady Navier-Stokes equations. The purpose of this investigation will therefore be to develop a numerical algorithm suitable for simulating the dynamic flow-structure interaction based on an existing hp finite element solver. The algorithm will be validated with experimental data to develop a clear understanding of its potential application and limitations.
Key Findings
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Organisation Website:	http://www.imperial.ac.uk