VS Prediction Model Using SPT-N Values and Soil Layers in South Korea

Gi-Seok Heo; Dong-Youp Kwak

doi:10.7843/kgs.2022.38.8.53

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2022 Vol.38, Issue 8 Preview Page Next Page

V_S Prediction Model Using SPT-N Values and Soil Layers in South Korea 표준관입시험 및 시추공 정보를 이용한 국내 전단파속도 예측

31 August 2022. pp. 53-66

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Abstract

The national ground survey database (GeoInfo) distributes numerous ground survey data nationwide. Many standard penetration test results exist in this database; however, the number of shear wave velocity (V_S) data is small. Hence, to use abundant standard penetration test-N values to predict V_S, this study proposed a new empirical N-V_S relationship model using GeoInfo data. The proposed N-V_S model is a single equation regardless of geological layer types; the layer type only specifies the upper limit of VS. To validate the proposed model, residual analysis was performed using a test dataset that was not used for the model development. Therefore, this study’s proposed model performed better than N-V_S models from previous studies. Since the N-V_S model in this study was developed using sufficient data from GeoInfo, we expect that it is the most applicable to GeoInfo dataset for V_S prediction.

Keywords

SPT

N-Value

V_S

Soil layer

Depth

국토지반정보 통합DB센터(GeoInfo)는 전국 건설현장에서 생산되는 많은 수의 지반조사결과 자료를 배포하고 있다. GeoInfo에는 많은 수의 표준관입시험(Standard Penetration Test, SPT) 자료가 존재하지만, 전단파속도(V_S) 데이터는 아직 부족한 실정이다. 따라서 풍부한 SPT 데이터로부터 V_S를 예측하기위해 본 연구에서는 GeoInfo에서 배포하는 자료를 이용하여 새로운 N-V_S 모델을 제안하였다. 본 연구는 지층 또는 토층에 구분없이 하나의 모델을 제안한다. 단, 지층에 따라 V_S의 최대값을 설정하여 N치의 과대 예측에 의한 V_S의 과대 예측을 방지하였다. 모델 개발에 사용하지 않은 검증용 데이터를 활용하여 선행연구에서 제시한 N-V_S모델과 본 연구에서 개발한 모델을 비교해 본 결과, 본 연구에서 제안한 모델이 가장 우수한 성능을 보여주었다. 제안한 N-V_S 모델은 GeoInfo의 많은 데이터로부터 유추된 경험식이기에 GeoInfo의 SPT 데이터를 V_S로 변환하는데 가장 적합할 것으로 판단된다.

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Information

Publisher :The Korean Geotechnical Society
Publisher(Ko) :한국지반공학회
Journal Title :Journal of the Korean Geotechnical Society
Journal Title(Ko) :한국지반공학회 논문집
Volume : 38
No :8
Pages :53-66
Received Date : 2022-06-23
Revised Date : 2022-07-22
Accepted Date : 2022-07-22
DOI :https://doi.org/10.7843/kgs.2022.38.8.53

Journal of the Korean Geotechnical Society ISSN:1229-2427(Print) 2288-646X(Online) 한국지반공학회 논문집

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