Topic: Methodologies for the development of quality assessment of Experimental models in structural Engineering 

Phone: +49(0)3643/58 4109
Room 103
Berkaer Straße 9
Email: hem.bahadur.motra[at]


Research Field

Methodologies for the development of quality assessment of Experimental   models in structural Engineering

The focus of this research are develops computation methods for managing the uncertainties in experimental models used in various engineering field, with emphasis in structural engineering models. These methods enable the rigorous assessment of models considering measurement uncertainty based on a statistical analysis of observation and the uncertainty derived from a process equation as well as an uncertainty model of the parameters. Uncertainties are ubiquitous in structural engineering. The effect of measurement uncertainty is commonly mentioned in discussions of model accuracy, but this effect is also typically ignored. Advanced methods for representing the sources of uncertainty and propagating them though, experimental/observation models, computational models, are necessary for designing safe and robust structures and cost constraints. In this context, Bayesian theory, Evidence based theory, Fuzzy theory are the powerful tool for propagating the uncertainty through models, so that measurement uncertainty can be easily incorporated into model calibration and validation, and solve typical questions of safety, sensitivity analysis and decision making.

The topics to be covered are:

 Calibration of experiments

 Uncertainty quantification (UQ) of the outcomes of laboratory and field experiments and the parameters and predictions of mathematical models using the theories of probability and statistics

 Sensitivity analysis

 An example of model validation based on experiments on a real structure

Tutors: Prof. Dr.- Ing. Andrea Dimmig-Osburg Bauhaus-Universität Weimar, Chair Polymere Werkstoffe PW/ F. A. Finger-Institut für Baustoffkunde, Weimar, Germany
Prof. Dr.-Ing. Jörg Hildebrand
Bauhaus-Universität Weimar, Chair Simulation und Experiment, Weimar, Germany


Conference papers:



Motra, H.B, Dimmig-Osburg, A., Hildebrand, J.: Uncertainty quantification on creep prediction of concrete subjected to cyclic loading. In: 11th International Conference on Structural Safety & Reliability, Columbia University, New York, NY, 16 - 20 June  2013,

Motra, H.B, Dimmig-Osburg, A., Hildebrand, J.:  Influence of Measurement Uncertainties on Results of Creep Prediction of Concrete under Cyclic Loading.  8th International Conference on Fracture Mechanics of Concrete and Concrete Structures. March 10-14, 2013 / Toledo - Spain,


Motra, H.B, Dimmig-Osburg, A., Hildebrand, J.: Probabilistic assessment of concrete creep models under repeated loading with correlated and uncorrelated input variables. In: 10 International Probabilistic Workshop, Stuttgart, Germany, 15 - 16 November 2012, ISBN 978-3-921837-67-2.

Motra, H.B., Dimmig-Osburg, A., Hildebrand, J.: Uncertainty Quantification and  Sensitivity Analysis on cyclic creep prediction of concrete. In: 19th International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, 04 - 06 July 2012