TẠP CHÍ KHOA HỌC CÔNG NGHỆ GIAO THÔNG VẬN TẢI, S. 33 (2019)

Cỡ chữ:  Nhỏ  Vừa  Lớn

ASSESSMENT OF NON-LINEAR REGRESSION APPROACH FOR BACK-ANALYSIS ON TUNNELLING-INDUCED SURFACE SETTLEMENT– A CASE STUDY IN HO CHI MINH CITY

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Tóm tắt


Previous researchers proved that surface settlement induced by tunnel constructions can be described by a Gaussian curve with the two key parameters K, the trough width factor, and VL, the volume loss. Knowing K and VL values enables surface settlement trough to be calculated which is essential to determine the potential effects of tunnelling to soil and surrounding buildings. A non-linear approach has been widely used to estimate K and VL values from field measurement using the sum of absolute errors. However, the reliability of the determined results could not be quantified. This paper uses surface settlement data from a case study in a tunnelling project in Ho Chi Minh city to determine K and VL using the non-linear regression approach. Then, a method was proposed to quantify the goodness of fit and the reliability of the determined K and VL. The results show that knowing the reliability of the K and VL is essential for the designers and researchers to determine if these values should be used as reference for their calculation in a similar tunnelling project to predict surface settlement.


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