New observational method for prediction of one-dimensional consolidation settlement
The Chapman–Richards model is adopted in this paper to best fit the Terzaghi's one-dimensional consolidation curve. The obtained formula fits the theoretical solution well, with a regression coefficient R2 of 0·9995 and an error of less than 2%. By adopting this model, a new method to predict t...
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sg-ntu-dr.10356-835512020-03-07T11:43:32Z New observational method for prediction of one-dimensional consolidation settlement Guo, Wei Chu, Jian School of Civil and Environmental Engineering Ground improvement Consolidation The Chapman–Richards model is adopted in this paper to best fit the Terzaghi's one-dimensional consolidation curve. The obtained formula fits the theoretical solution well, with a regression coefficient R2 of 0·9995 and an error of less than 2%. By adopting this model, a new method to predict the ultimate settlement and the coefficient of consolidation using monitoring settlement data is proposed. The accuracy of the proposed method is verified against oedometer test and field monitoring data. For the cases verified, the ultimate settlement predictions from the proposed method are more reliable than those from the Asaoka's method for the different range of settlement data. Published version 2017-06-19T09:37:48Z 2019-12-06T15:25:26Z 2017-06-19T09:37:48Z 2019-12-06T15:25:26Z 2017 Journal Article Guo, W., & Chu, J. (2017). New observational method for prediction of one-dimensional consolidation settlement. Géotechnique, 67(6), 516-522. 0016-8505 https://hdl.handle.net/10356/83551 http://hdl.handle.net/10220/42728 10.1680/jgeot.16.P.089 en Géotechnique © 2017 ICE Publishing. This paper was published in Géotechnique and is made available as an electronic reprint (preprint) with permission of ICE Publishing. The published version is available at: [http://dx.doi.org/10.1680/jgeot.16.P.089]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 7 p. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| country |
Singapore |
| collection |
DR-NTU |
| language |
English |
| topic |
Ground improvement Consolidation |
| spellingShingle |
Ground improvement Consolidation Guo, Wei Chu, Jian New observational method for prediction of one-dimensional consolidation settlement |
| description |
The Chapman–Richards model is adopted in this paper to best fit the Terzaghi's one-dimensional consolidation curve. The obtained formula fits the theoretical solution well, with a regression coefficient R2 of 0·9995 and an error of less than 2%. By adopting this model, a new method to predict the ultimate settlement and the coefficient of consolidation using monitoring settlement data is proposed. The accuracy of the proposed method is verified against oedometer test and field monitoring data. For the cases verified, the ultimate settlement predictions from the proposed method are more reliable than those from the Asaoka's method for the different range of settlement data. |
| author2 |
School of Civil and Environmental Engineering |
| author_facet |
School of Civil and Environmental Engineering Guo, Wei Chu, Jian |
| format |
Article |
| author |
Guo, Wei Chu, Jian |
| author_sort |
Guo, Wei |
| title |
New observational method for prediction of one-dimensional consolidation settlement |
| title_short |
New observational method for prediction of one-dimensional consolidation settlement |
| title_full |
New observational method for prediction of one-dimensional consolidation settlement |
| title_fullStr |
New observational method for prediction of one-dimensional consolidation settlement |
| title_full_unstemmed |
New observational method for prediction of one-dimensional consolidation settlement |
| title_sort |
new observational method for prediction of one-dimensional consolidation settlement |
| publishDate |
2017 |
| url |
https://hdl.handle.net/10356/83551 http://hdl.handle.net/10220/42728 |
| _version_ |
1681045747787628544 |