Bayesian Estimation of Resistance Factor for Bored Piles Based on Load Test Database
Joint Authors
Zhang, Ranran
Xu, Zhijun
Fan, Liang
Han, Xing
Du, Mingfang
Yuan, Fang
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
The quality of in situ data is key to calculating resistance factor of bored piles.
However, it is difficult to summarize accuracy data due to various uncertainties in engineering.
This paper employs the Bayesian method and mathematical statistics theory to put forward an estimation method for updating in situ data.
A testing database (33 tests in noncohesive soils and 53 tests in cohesive soils) of bored piles is summarized.
The model factor of bored piles is quantified as the ratio of the measured capacity to the calculated capacity.
The proposed method is used to classify summarized data into three categories, which are “good data,” “general data,” and “bad data.” The “bad data” are discarded because of bad contribution to calculation, and Bayesian theory is incorporated into updating the model factor statistics.
Three methods are used to calculate the reliability index and resistance factor of bored piles, and the results show that the reliability index and resistance factor are sensitive to the quality of data.
Finally, the available values of resistance factors are proposed based on resistance factor design for bridge design specification, which can offer references to revision relevant specifications.
The proposed method can be used to update other geotechnical data.
American Psychological Association (APA)
Xu, Zhijun& Zhang, Ranran& Fan, Liang& Han, Xing& Yuan, Fang& Du, Mingfang. 2020. Bayesian Estimation of Resistance Factor for Bored Piles Based on Load Test Database. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1121189
Modern Language Association (MLA)
Xu, Zhijun…[et al.]. Bayesian Estimation of Resistance Factor for Bored Piles Based on Load Test Database. Advances in Civil Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1121189
American Medical Association (AMA)
Xu, Zhijun& Zhang, Ranran& Fan, Liang& Han, Xing& Yuan, Fang& Du, Mingfang. Bayesian Estimation of Resistance Factor for Bored Piles Based on Load Test Database. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1121189
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1121189