[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7843/kgs.2022.38.12.103

Analysis of the Limitations of the Existing Subsidence Prediction Method Based on the Subsidence Measurement Data and Suggestions for Improvement Method Through Weighted Nonlinear Regression Analysis

Kwak, Tae-Young (Geotechnical Engrg. Research Division, Korea Institute of Construction Technology)
Hong, Seongho (Dept. of Civil & Environmental Engrg., Seoul National Univ.)
Lee, Ju-Hyung (Geotechnical Engrg. Research Division, Korea Institute of Construction Technology)
Woo, Sang-Inn (Dept. of Civil and Environmental Engrg., Incheon National Univ.)

Publication Information

Journal of the Korean Geotechnical Society / v.38, no.12, 2022 , pp. 103-112 More about this Journal

Abstract

The existing subsidence prediction method based on the measurement data were confirmed in this study through literature research. It was confirmed that the hyperbolic method and the Asaoka method showed high accuracy, while the other prediction methods showed significantly low accuracy. Based on the analysis results, the limitations of the existing prediction equations were derived, and the improvement method of the settlement prediction equations was suggested. In this study, a weighted nonlinear regression analysis method that gives higher weight to the later data was proposed to improve the existing hyperbolic method.

Keywords

Asaoka method; Hyperbolic method; Settlement prediction; Weighted nonlinear regression analysis;

Citations & Related Records

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