Spatial Threshold Regression Model Thinking Time Factor and Application in Excavation Displacement Monitoring

Abstract:

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Excavation displacement monitoring is a kind of important measure assuring construction safety of large-scale excavation engineering.How to predict displacement accurately and efficiently in construction period using limited displacement date has become a research hotspots. Spatial threshold regression model thinking time factor has been build up according change of excavation depth and monitoring time in paper.Predicted value of deep maximal horizontal displacement using the model abolve is very close to monitoring value.Maximal average error is about 12.46% in early days and tend to 5% in later stage.It is a effective predicted method for soil deep maximal horizontal displacement in excavation engineering.

Info:

Periodical:

Advanced Materials Research (Volumes 368-373)

Edited by:

Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren

Pages:

2255-2258

DOI:

10.4028/www.scientific.net/AMR.368-373.2255

Citation:

Q. G. Yang et al., "Spatial Threshold Regression Model Thinking Time Factor and Application in Excavation Displacement Monitoring", Advanced Materials Research, Vols. 368-373, pp. 2255-2258, 2012

Online since:

October 2011

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Price:

$35.00

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