SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

DEFORMATION ANALYSIS OF THE CZERSKO POLSKIE ROLLER DAM STEEL DRUM USING CONVENTIONAL GEODETIC METHODS AND NEURAL NETWORKS

Jacek Sztubecki PhD, Maria Mrowczynska Prof., Malgorzata Sztubecka PhD

First published: 2017-06-20https://doi.org/10.5593/sgem2017/22/s09.026View metrics

Abstract

Defining the stability of a structure depends on several factors. It is difficult to predict them and take into account in the design phase. Over time, many of them will cause changes in the location of its components. Measurements are required to be taken during the operation of a structure in order to find out about any changes in its geometry. This paper contains an elaboration of the results of measurements of the geometry of a steel drum which is a major component of the historical roller gate dam - Czersko Polskie - in Bydgoszcz. The availability of the drum surface for the measurements was limited to the visible part, downstream of the structure. Nevertheless, using the adopted calculation procedure it was possible to determine the position of the drum axis as well as the twisting and deformation of the drum surface. In order to estimate the extent of deformation of the steel drum, conventional methods of surveying were used alongside new methods based on artificial neural networks (Hecht-Nielsen neural network).

Publication Impact Profile

PlumX
  • Citations
  • CrossRef - Citation Indexes: 1
  • Scopus - Citation Indexes: 1
  • Captures
  • Mendeley - Readers: 6
PLUMX see details

Publication details

Title
DEFORMATION ANALYSIS OF THE CZERSKO POLSKIE ROLLER DAM STEEL DRUM USING CONVENTIONAL GEODETIC METHODS AND NEURAL NETWORKS
Authors
Jacek Sztubecki PhD, Maria Mrowczynska Prof., Malgorzata Sztubecka PhD
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
211-218
SWS Citekey
Sztubecki20179211218
ISSN
1314-2704
ISBN
978-619-7408-02-7
Language
en
Publication type
Conference Paper
Keywords
deformationgeometric evaluationsteel structureroller damneural networks
References0
0references registered for this publication

Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.

Citing literature

Number of times cited according to Crossref: 1

Open DOICrossref metadataOpenCitations
View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list