A probabilistic analyzed method for concrete fatigue life. (July 2017)
- Record Type:
- Journal Article
- Title:
- A probabilistic analyzed method for concrete fatigue life. (July 2017)
- Main Title:
- A probabilistic analyzed method for concrete fatigue life
- Authors:
- Liang, Junsong
Ding, Zhaodong
Li, Jie - Abstract:
- Abstract: In this manuscript, a novel analyzed method is proposed for stochastic analysis of concrete fatigue life. Starting from the material randomness and the typical fatigue damage accumulation behavior, a newly developed stochastic fatigue damage model (SFDM) is introduced to calculate the fatigue life. Then, a sensitivity analysis towards SFDM is carried out, based on which, the random model parameters representing the concrete fatigue mechanisms are verified. Based on the collected test data of different material strength levels, the probabilistic distributions of the random model parameters are identified, and these are used for the subsequent probabilistic analysis of concrete fatigue life. To implement the probabilistic analysis, a probability density evolution equation is developed by employing the probability density evolution method (PDEM). Through solving this equation, the probability density functions (PDF) of random concrete fatigue life and the corresponding mean and variance as well as their evolution with different loading levels are obtained.
- Is Part Of:
- Probabilistic engineering mechanics. Volume 49(2017:Jul.)
- Journal:
- Probabilistic engineering mechanics
- Issue:
- Volume 49(2017:Jul.)
- Issue Display:
- Volume 49 (2017)
- Year:
- 2017
- Volume:
- 49
- Issue Sort Value:
- 2017-0049-0000-0000
- Page Start:
- 13
- Page End:
- 21
- Publication Date:
- 2017-07
- Subjects:
- Concrete -- Fatigue life -- Damage -- SFDM -- Probabilistic analysis -- PDEM
Engineering -- Statistical methods -- Periodicals
Mechanics, Applied -- Statistical methods -- Periodicals
Probabilities -- Periodicals
Ingénierie -- Méthodes statistiques -- Périodiques
Mécanique appliquée -- Méthodes statistiques -- Périodiques
Probabilités -- Périodiques
620.100727 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02668920 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.probengmech.2017.08.002 ↗
- Languages:
- English
- ISSNs:
- 0266-8920
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6617.209600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4721.xml