Telefon: +49 (0) 3643 58 4107
Raum 101
Berkaer Straße 9
Email: samira.marzban[at]uni-weimar.de

Research Field 

The goal is the model quality assessment of reinforced concrete walls based on the knowledge accumulated from different sources of experience such as real observations, laboratory observations and various model applications. Here, we want to learn how well a desired model is able to predict the response of a RC wall under earthquake excitations. The compiled knowledge is organized in a database in order to achieve an efficient data management. The selected model, the prediction quality” of which we are interested in, is checked against the collected knowledge. The distance from the model response to the known response represents a quality measure. 

 

Selected Publications 

[1] S. Marzban and J. Schwarz.
Model Quality Evaluation of Coupled RC Frame-Wall Systems for Global Damage Assessment. In 19th International Conference on the Application of Computer Science and Mathematics in Architecture and Civil Engineering, Weimar, Germany, 4-6 July 2012.

[2] S. Marzban, M. Banazadeh, and A. Azarbakht. Seismic Performance of RC Shear Wall Frames Considering Soil-Foundation-Structure Interaction. In 15th World Conference on Earthquake Engineering, Lisbon, Portugal, 24-28 September 2012.

[3] S. Marzban, M. Banazadeh, and A. Azarbakht. Seismic Performance of Reinforced Concrete Shear Wall Frames Considering Soil-Foundation-Structure Interaction. The Structural Design of Tall and Special Buildings, Doi: 10.1002/tal.1048, 2012. Ahead of Print.

[4] S. Marzban and J. Schwarz. An Investigation into the Structural Interaction in RC Frame-Wall Systems. Bautechnik, 90 (Sonderdruck):53-62, 2013.

[5] S. Marzban, M. Leipold, and J. Schwarz.
An Investigation into the Sensitivity Properties of the Global Response of RC Structural Walls. In 14th International Conference on Civil, Structural and Environmental Engineering Computing, Cagliari, Sardinia, Italy, 3-6 September 2013. Submitted.

[6] S. Marzban and T. Lahmer. Variance-base Sensitivity Analysis: An Efficient Method of Application. In Preparation for the Reliability Engineering and System Safety, 2013.

Links 

Earthquake Damage Analysis Center: edac.biz