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BMBF Joint Project: Multi-parameter monitoring and real-time risk assessment of hydroelectric DAMs in the Kyrgyz Republic – MI-DAM

Lupe [1]

Grant no.: 03G0877B


Funded by the Federal Ministry of Education and Research (Germany)

Lupe [2]

Supervised by Projektträger Jülich

Kurpsai Dam

Lupe [3]


Project coordinator: Prof. Dr. Stefano Parolai [4]

Contact person TU Berlin: Prof. Yuri Petryna [5], Prof. F. Rackwitz [6]

Project duration: 10.2017 - 09.2020

Project partner

TU Berlin

Lupe [7]

Institut für Bauingenieurwesen
Fachgebiet Statik und Dynamik

Person responsible:
Prof. Y. Petryna [8]

M.Sc. Waldemar Elsesser

Contact information:
Technische Universität Berlin
Sec. TIB1-B5
Gustav-Meyer-Allee 25
13355 Berlin
Phone 030 314-72320
Telefax 030 314-72321
E-Mail: yuri.petryna@tu-berlin.de [10]
Internet: www.statik.tu-berlin.de


Institut für Bauingenieurwesen
Grundbau und Bodenmechanik

Person responsible:
Prof. Frank Rackwitz [12]

Dr. Ioanna-Kleoniki Fontara [13]

Contact information:
Technische Universität Berlin
Sec. TIB1-B7
Gustav-Meyer-Allee 25
13355 Berlin
Phone: 030 314-72341
E-Mail: frank.rackwitz@tu-berlin.de [14]
Internet: www.grundbau.tu-berlin.de [15]

Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences Germany

Lupe [16]

Centre for Early Wanring Systems

Internet: www.gfz-potsdam.de [17]

Contact person:
Dr. Marco Pilz [18]

Alberding GmbH

Lupe [19]

Internet: www.alberding.eu [20]

Airbus DS Geo GmbH

Lupe [21]

Internet: www.intelligence-airbusds.com [22]

Contact person:
Dr. Diana Walter
E-Mail: diana.d.walter@airbus.com [23]


Lupe [24]

Central Asian Institute for Applied Geosciences

Local partner Bishkek, Kirgistan

Internet: www.caiag.kg [25]


The Kyrgyz Republic is currently planning to build several hydropower plants. In order to provide important information for monitoring of the structures and the nearby slopes in an emergency case, especially with regard to earthquakes and landslide risks, the MI-DAM project will develop a robust, cost-effective and flexible system that enables structure monitoring, early warning and a time-dependent fragility analysis . The system will continuously monitor the condition of the dam and the surrounding slopes. Comprehensive measurements are carried out, the most important parameters regarding stability and earthquake security of the building are identified and evaluated, and information is transmitted in real time to the responsible authorities (e.g. emergency management).

Fragility functions for individual hazard scenarios are typically used to assess earthquake risk, either empirically from observations or numerically from computer simulations. Since several hazard scenarios can occur at the same time, e.g. Earthquakes and landslides, their coupled consideration would make sense.

The dynamic response of a structure to the effects of an earthquake is one of the most difficult challenges for the simulation processes. It requires a combination of the non-linear material and structural mechanics with efficient stochastic simulation methods in order to take into account a variety of uncertainties and to predict the state of the structure in terms of probability theory. Asoil-structure interaction makes the problem even more difficult. In the MI-DAM project, the model results are to be compared directly with the measurement data, which significantly increases the computing effort.

Metrological structural monitoring or "Structural Health Monitoring" (SHM) is a rapidly growing research area worldwide with only a few practical applications in civil engineering, since buildings require unique monitoring concepts, in contrast to series production in mechanical engineering. An SHM system should typically cover the tasks of damage detection, localization, identification, evaluation and prognosis and thus provide a reliable condition assessment of the structure. The monitoring technology in the project includes fiber optic sensors, as well as satellite-based deformation measurements on the surface of the geo and construction objects using GPS, GNSS and InSAR technology.

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