Flexural fatigue strength prediction of hybrid fibre-reinforced self-compacting concrete. Issue 3 (5th June 2019)
- Record Type:
- Journal Article
- Title:
- Flexural fatigue strength prediction of hybrid fibre-reinforced self-compacting concrete. Issue 3 (5th June 2019)
- Main Title:
- Flexural fatigue strength prediction of hybrid fibre-reinforced self-compacting concrete
- Authors:
- Bawa, Shailja
Singh, S. P. - Abstract:
- Abstract : Mathematical models were developed for predicting the flexural fatigue strength of hybrid fibre-reinforced self-compacting concrete based on fatigue test results. Steel and polypropylene fibres were used at 1% total mix volume in various proportions. About 250 flexural fatigue tests and 90 static flexural tests were carried out. Fatigue-life data obtained was analysed to determine the relationship between stress level, number of cycles to failure and probability of failure. It was found the relationship can be represented reasonably well graphically by a family of curves. The experimental coefficients of the fatigue equations were calculated from the fatigue test data to obtain the analytical curves. The 2 million cycle fatigue strength of the concrete mixes was also calculated from the curves.
- Is Part Of:
- Proceedings of the Institution of Civil Engineers. Volume 172:Issue 3(2019:Jun.)
- Journal:
- Proceedings of the Institution of Civil Engineers
- Issue:
- Volume 172:Issue 3(2019:Jun.)
- Issue Display:
- Volume 172, Issue 3 (2019)
- Year:
- 2019
- Volume:
- 172
- Issue:
- 3
- Issue Sort Value:
- 2019-0172-0003-0000
- Page Start:
- 1
- Page End:
- 40
- Publication Date:
- 2019-06-05
- Subjects:
- Fatigue -- Fibre Reinforced Concrete -- Modelling
Building materials -- Periodicals
Civil engineering -- Periodicals
691 - Journal URLs:
- https://www.icevirtuallibrary.com/journal/jcoma ↗
- DOI:
- 10.1680/jcoma.19.00003 ↗
- Languages:
- English
- ISSNs:
- 1747-650X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 11160.xml