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Ph. D. Workshop 2009 Proceedings
Blaheta, Radim ; Kolcun, Alexej
These proceedings contain contributions presented at the fourth Ph.D. Workshop of the Institute of Geonics of the Academy of Sciences of the Czech Republic held in this year simultaneously in Ostrava and in Brno on November 19, 2009. Ph.D. training belongs among the most important activities not only of the universities but also of the institutes of the Academy of Sciences of the Czech Republic. Note that in total more than 2000 Ph.D. students are being trained at the institutes of the Czech Academy of Sciences. It guarantees that the knowledge and experience from the research will be forwarded and extended, which is of principal importance for the development of the research and the whole academic system.
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Schemes of seismic experimental measurements in the railroad tunnel Mosty u Jablunkova
Stolárik, Martin
It comes to general reconstruction of obsolete main railroad tracks and development of railway corridors in Czech Republic. In relation to this, new railroad tunnels are built, or present ones are reconstructed. Reconstruction of old tunnel represents tunneling of new underground space. The cross section of singletrack tunnel is often enlarged to double-tracked one. New tunnel constructions are realized using New Austrian Tunneling Method (NATM) when blasting operations are one of driving technologies. Typical example of this reconstructed tunnel is tunnel in the mountain pass Jablunkov. Two single-track railroad old tunnels are situated in this location. The older tunnel (1871) operated at the present time as a provisional and the junger one (1917) reconstructed. Both of them are near one another. Experimental seismological measurement was realized in the reconstructed tunnel on the tunnel floor.
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Worst scenario method and other approaches to uncertainty
Harasim, Petr
A great many problems in natural, technical, and social sciences can be solved by means of suitable mathematical models. Since the input data of mathematical models is uncertain, the output values are also encubered by uncertainty. It is our goal to evaluate the uncertainty of output data if the uncertainty of input data is somehow speci ed. Here, we con- ne ourselves only to a brief description of stochastic methods, a fuzzy set approach, and the worst scenario method.
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