Talks and Poster Presentations (with Proceedings-Entry):

S. Deix, M. Ralbovsky, A. Lechner:
"Influence of Measurement and Model Parameters in Computational Model Updating using UHPC Sampless";
Talk: 7th International Workshop on Structural Health Monitoring (IWSHM 2009), San Francisco, USA; 09-08-2009 - 09-11-2009; in: "7th International Workshop on Structural Health Monitoring (IWSHM 2009)", Destech Publ., (2009), ISBN: 978-1-60595-007-5; 439 - 445.



English abstract:
The majority of the existing European transport infrastructure was built forty to
sixty years ago. Due to the ascending transport loads and increasing traffic the
associated costs to maintain our existing infrastructures is permanently increasing. A
common solution for this problem is to extend infrastructure lifecycles together with
reducing maintenance costs by selective measures. These objectives may be achieved
by developing new sustainable materials and infrastructure components as well as
innovative approaches to assess the structural condition in real-time. The method to
include measurement data in the numeric model is called model updating. This may
be achieved by adjusting model parameters manually or by a computational
optimizing algorithm. The latter is therefore called computational model updating
(CMU). The entire process from determination of test data, post-processing and
inverse modeling involves numerous sources of errors and uncertainties. Some of
these are caused by noise, incorrect sensor location, inexact equipment calibration,
operation in a region of nonlinearity, and parameter settings in system identification
algorithms. Some others are related to inappropriate theoretical assumptions,
inaccurate estimation of material properties and boundary conditions, insufficient or
incorrect modeling detail, computer input errors, and improper application of
optimization algorithms. Although computational resources and the sensor sensitivity
are increasing, the influences of the modeling parameters and the uncertainty
propagation in the process have to be considered to obtain meaningful and
interpretable results. This is fundamental if those methods are used to assess reliability
and safety of structures in particular bridges.

Created from the Publication Database of the AIT Austrian Institute of Technology.