Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory
In order to improve the estimation accuracy of bearing capacity of pile foundation, a new forecast method of bearing capacity of pile foundation was proposed on Jeffrey’s noninformative prior using the MCMC (Markov chain Monte Carlo) method of the Bayesian theory. The proposed approach was used to e...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/9858617 |
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| _version_ | 1832561266416156672 |
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| author | Zuolong Luo Fenghui Dong |
| author_facet | Zuolong Luo Fenghui Dong |
| author_sort | Zuolong Luo |
| collection | DOAJ |
| description | In order to improve the estimation accuracy of bearing capacity of pile foundation, a new forecast method of bearing capacity of pile foundation was proposed on Jeffrey’s noninformative prior using the MCMC (Markov chain Monte Carlo) method of the Bayesian theory. The proposed approach was used to estimate the parameters of Normal distribution. Numerical simulation was used to produce pseudosamples. The parameter estimation of the maximum likelihood method and the Bayesian statistical theory was used to estimate the parameter estimation of the Normal distribution, which has been compared with the theoretical value of the pseudosample of Normal distribution. The result indicates that the forecast model of Normal distribution using the Bayesian method is better than that of the maximum likelihood method, and the performance of the proposed method was improved with increasing of pseudosample number. At last, the proposed method was applied to estimate the parameter of Normal bearing capacity distribution of pile foundation, which shows that the proposed method has a high precision and good applicability. |
| format | Article |
| id | doaj-art-14548e56acf1498eaa7aaba66c812d7f |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-14548e56acf1498eaa7aaba66c812d7f2025-02-03T01:25:23ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/98586179858617Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability TheoryZuolong Luo0Fenghui Dong1Department of Civil Engineering, Shanxi University, Taiyuan 030000, ChinaCollege of Civil Engineering, Nanjing Forestry University, Nanjing 210037, ChinaIn order to improve the estimation accuracy of bearing capacity of pile foundation, a new forecast method of bearing capacity of pile foundation was proposed on Jeffrey’s noninformative prior using the MCMC (Markov chain Monte Carlo) method of the Bayesian theory. The proposed approach was used to estimate the parameters of Normal distribution. Numerical simulation was used to produce pseudosamples. The parameter estimation of the maximum likelihood method and the Bayesian statistical theory was used to estimate the parameter estimation of the Normal distribution, which has been compared with the theoretical value of the pseudosample of Normal distribution. The result indicates that the forecast model of Normal distribution using the Bayesian method is better than that of the maximum likelihood method, and the performance of the proposed method was improved with increasing of pseudosample number. At last, the proposed method was applied to estimate the parameter of Normal bearing capacity distribution of pile foundation, which shows that the proposed method has a high precision and good applicability.http://dx.doi.org/10.1155/2019/9858617 |
| spellingShingle | Zuolong Luo Fenghui Dong Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory Advances in Civil Engineering |
| title | Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory |
| title_full | Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory |
| title_fullStr | Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory |
| title_full_unstemmed | Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory |
| title_short | Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory |
| title_sort | statistical investigation of bearing capacity of pile foundation based on bayesian reliability theory |
| url | http://dx.doi.org/10.1155/2019/9858617 |
| work_keys_str_mv | AT zuolongluo statisticalinvestigationofbearingcapacityofpilefoundationbasedonbayesianreliabilitytheory AT fenghuidong statisticalinvestigationofbearingcapacityofpilefoundationbasedonbayesianreliabilitytheory |