Bridge dynamics

Photo: COWI

Bridge dynamics are essential for the feasibility, safety and operation of major bridge designs. COWI adds value to bridge design and construction processes through specialist know-how gained from a large number of world-class bridge projects.

Aerodynamic stability

A key challenge to be solved for most bridge structures is the aerodynamic stability. An understanding of the interactions between the natural wind and a given structure is important to ensure a proper function regarding structural integrity and human comfort.

The services provided by COWI include many aspects from aeroelastic analysis to advanced computer simulations and wind tunnel testing in order to provide mitigation.

Also, for wind engineering including computation of micro-meteorology and human comfort in windy environments we provide services based on CFD models.

Railway dynamics

High-speed trains require state of the art calculation procedures with respect to train runability, safety and passenger comfort. COWI uses  in-house expertise and experience to perform these state of the art calculations.

Using in-house developed models, COWI can produce quick and precise results on rail/train/bridge interaction under different load cases by using a specially developed train model with multiple degrees of freedom per coach. The model setup can also take turbulent cross-wind interaction into account.

Structural health monitoring systems (SHMS)

Structural health monitoring performs structural characterisation and damage detection over time in order to provide reliable information regarding the integrity and serviceability of the structure.

COWI has much experience within structural health monitoring. Various projects are completed. They include design of structural health monitoring systems for new and existing structures to planning, installation, testing and trouble-shooting.

SHMS data integrated in maintenance management

COWI has developed state of the art methods for integrating structural health monitoring data with maintenance management systems based on a probabilistic approach.

The outcome helps maintenance engineers to optimise maintenance plans based on a limited number of sensors in combination with visual inspection

LAST UPDATED: 01.04.2017