Abstract
In this paper, theoretical and experimental studies are conducted to exhibit the discarding fatigue lifetime of a rotation resistant rope exposed to alternate bending over sheave (BoS) fatigue. Experimental studies are fulfilled to determine discarding lifetimes of a rotation resistant rope exposed to BoS fatigue. Multiple linear regression analysis is performed and novel theoretical discarding lifetime prediction formula is determined by using the least square method. Furthermore, discarding lifetimes of rotation resistant ropes exposed to BoS fatigue is predicted by using artificial neural network (ANN). There is a vigorous correlation among the results acquired by regression model, ANN and experimental data.
| Original language | English |
|---|---|
| Pages (from-to) | 163-169 |
| Number of pages | 7 |
| Journal | Measurement: Journal of the International Measurement Confederation |
| Volume | 142 |
| DOIs | |
| Publication status | Published - Aug 2019 |
Bibliographical note
Publisher Copyright:© 2019 Elsevier Ltd
Funding
The authors acknowledge for permission performing our experiments in rope technology laboratory of University of Stuttgart This study was financially supported by Istanbul Technical University Scientific Research Fund (Project No. 33137). The authors acknowledge for permission performing our experiments in rope technology laboratory of University of Stuttgart This study was financially supported by Istanbul Technical University Scientific Research Fund (Project No. 33137 ).
| Funders | Funder number |
|---|---|
| Istanbul Technical University Scientific Research Fund | 33137 |
| Istanbul Teknik Üniversitesi | |
| Universität Stuttgart |
Keywords
- Artificial neural networks
- Discarding lifetime
- Regression analysis
- Rotation resistant rope