Foundation Settlement Prediction Based on a Novel NGM Model. (23rd March 2014)
- Record Type:
- Journal Article
- Title:
- Foundation Settlement Prediction Based on a Novel NGM Model. (23rd March 2014)
- Main Title:
- Foundation Settlement Prediction Based on a Novel NGM Model
- Authors:
- Chen, Peng-Yu
Yu, Hong-Ming - Other Names:
- Milovanović Gradimir Academic Editor.
- Abstract:
- Abstract : Prediction of foundation or subgrade settlement is very important during engineering construction. According to the fact that there are lots of settlement-time sequences with a nonhomogeneous index trend, a novel grey forecasting model called NGM ( 1, 1, k, c ) model is proposed in this paper. With an optimized whitenization differential equation, the proposed NGM ( 1, 1, k, c ) model has the property of white exponential law coincidence and can predict a pure nonhomogeneous index sequence precisely. We used two case studies to verify the predictive effect of NGM ( 1, 1, k, c ) model for settlement prediction. The results show that this model can achieve excellent prediction accuracy; thus, the model is quite suitable for simulation and prediction of approximate nonhomogeneous index sequence and has excellent application value in settlement prediction.
- Is Part Of:
- Mathematical problems in engineering. Volume 2014(2014)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-03-23
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2014/242809 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- 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:
- 21176.xml