Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl
Preferences help
Polish version English version Language
enabled [disable] Abstract
Number of results

Results found: 3

Number of results on page
first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

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

100%
Łątka D., Repelewicz M.
Czasopismo Techniczne
|
-
PL
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.
2
Publication available in full text mode
Content available

Use of foam glass as a slab on grade thermal insulation

100%
Repelewicz M., Łątka D.
Czasopismo Techniczne
|
-
PL
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.
3
Publication available in full text mode
Content available

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

71%
Dudzik M., Łątka D., Repelewicz M., Stewarski E., Stręk A.
Czasopismo Techniczne
|
-
PL
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”.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.