Data driven structural behaviour modelling in civil engineering – DataBridge

Project title:	Data driven structural behaviour modelling in civil engineering – DataBridge
Project team UL::	Boštjan Brank, Blaž Kurent, Marko Lavrenčič, Luka Gradišar (all from UL FGG), Uroš Bohinc, Andrej Anžlin, Maja Kreslin, Jan Kalin (all from ZAG), Andras Benczur, Noemi Friedman (all from SZTAKI)
Duration:	From 1 November 2020 until 30 October 2023
Project code:	J2-2490

Lead partner	University of Ljubljana, Faculty of Civil and Geodetic Engineering
Project leader at UL:	Prof. Boštjan Brank, UL FGG
Partners:	Slovenian National Building and Civil Engineering Institute (ZAG) Institute for Computer Science and Control (SZTAKI) – Informatics Laboratory, Budapest
Source of finance:	Slovenian Research Agency
Key words:	Civil engineering structures, data-driven modelling, finite element modelling, Bayesian finite element model updating, uncertainty quantification, surrogate models, artificial intelligence, structural health monitoring, in-situ vibration tests

Description

The research topics of the project are: (a) Bayesian finite element model updating and uncertainty quantification for large civil engineering structures under service loadings, (b) application of artificial intelligence tools for analysing structural health monitoring data, (c) construction of proxy models for larger civil engineering structures, and (d) designing efficient in-situ vibration tests.

Main goals

To apply artificial intelligence tools for analysis of structural health monitoring data in order to find a suitable damage indicator. To apply Bayesian inference and uncertainty quantification for identification of (dynamic) characteristics of large buildings and bridges.

Project work packages:

Project management (lead partner UL FGG)
Experiments (lead partner ZAG)
Pre-processing of data and data analysis by artificial intelligence tools (lead partner SZTAKI)
Stochastic modelling and updating (lead partners UL FGG and SZTAKI)