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1 Czasopismo Techniczne

3 2015

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Design and assembling problems on the example of Denver’s international airport development and the possibility of solutions in design stage

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Szymańska-Stachura A. , Repelewicz M.

In the paper a process of designing and assembling complicated steel structure is described. The object is a glass roof over the railroad terminal. The object’s body makes it impossible to assemble elements of the structure on the building site just having a structural 2D drawing. It was essential to create visual animation illustrating the chronology, in what way the particular elements of the structure should be assembled to achieve the effect assumed by the architects. However, the architectonic form of the whole object was so interesting and valuable that it is worth to destine investment means and time to achieve the desired aim.

The influence of superstructure stiffness on internal forces distribution in raft foundations

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Łątka D. , Repelewicz M.

The article presents the changes in designing rules of raft foundations according to Eurocodes in relation to structural stiffness of: superstructure–foundations–soil. The results from two numerical models (wall-type and slab-column superstructure) were analyzed. The subject of the analysis was to assess the influence of the raft foundation effective stiffness and Winkler’s spring constant on internal forces distribution in the foundation.

Use of foam glass as a slab on grade thermal insulation

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Repelewicz M. , Łątka D.

This paper describes the results of simulation and calculation of heat loss through a slab on grade to the ground. Calculations are performed for a single-family house. The effect of using foam glass as insulating material is analyzed.

A preliminary feasibility study of a short-term prognosis of mining towers tops’ displacements with the use of artificial neural networks

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Dudzik M. , Łątka D. , Repelewicz M. , Stewarski E. , Stręk A.

Mining industry is a key sector of many national economies, thus even a small crack in a mining site echoes nationwide. This strategic sector is subjected to special safety care in every aspect, including operational safety of engineering structures. The newest technologies are employed to diagnose and monitor the working structures and buildings. In this article we propose an innovative idea of combining GPS monitoring system with artificial neural network prognosing to build a prediction tool for displacement of mining shafts in operational conditions. The paper describes a training of a neural network system whose task is to prognose the displacements of the top of a mine shaft tower in direction in a selected period of time. The data used for the training come from the GPS monitoring of displacements of the top of the S 1.2 mining shaft tower. The tower is located in the mining works LW “Bogdanka”.