Soil Water Characteristic Curve for Weathered Granite Soils - A Prediction Method

화강풍화토에 대한 함수특성곡선 - 추정방법에 대한 연구

  • 이성진 (LG건설 기술연구소 연구개발팀) ;
  • 이혜지 (토목사업본부 부산민자부두 설계팀) ;
  • 이승래 (한국과학기술원 건설 및 환경공학과)
  • Published : 2005.02.01

Abstract

In this paper, a method reasonably predicting soil water characteristic curve of domestic weathered granite soils was suggested, based on the test results obtained through experiments. In other words, a method to estimate the parameters of Fredlund and Xing's equation using an ANN (artificial neural network) was proposed. The particle size distribution, compacted water content and void ratio were used as input data in the ANN model for predicting the parameters, since it was found that these basic soil properties affect the parameters obtained from the test results and the fitting results of SWCC. The network model proposed in this study to obtain the parameters of Fredlund and Xing's SWCC equation produced reliable predictions, and the precision of the prediction results from the proposed method was high, in comparison with the prediction results of other methods.

이 논문에서는 앞서 수행된 국내의 화강풍화토의 실험 결과를 토대로 하여 화강풍화토의 함수특성곡선을 합리적으로 예측하기 위한 방법이 제안되었다. 이 방법은 인공신경망기법을 이용해서 Fredlund와 Xing의 함수특성곡선식의 계수들을 추정하도록 제안되었다. 이러한 계수들을 추정하기 위한 신경망 모델의 입력 자료로는 실험결과에서 함수특성곡선의 계수에 큰 영향을 미치는 것으로 확인된 입도분포곡선, 다짐함수비, 그리고 간극비가 사용되었다. Fredlund 와 Xing의 함수특성곡선식의 계수를 구하기 위해 본 연구에서 제안된 신경망 모델은 신뢰성 있는 예측결과를 보였으며 그 예측결과의 정확도가 이전의 다른 방법들에 비해 높게 나타났다.

Keywords

References

  1. 신은철, 이학주, 오영인 (2004), '불포화 준설매립 지반의 흙-수분 특성곡선 및 불포화 투수계수 예측', 한국지반공학회논문집, 제20권, 1호, pp.109-120
  2. 이성진 (2004), '화강풍화토의 불포화 전단강도 및 함수특성곡선 산정에 관한 연구'. 공학박사 학위논문, 한국과학기술원
  3. 이인모, 이형주, 김기섭, 김영욱 (2000), '체적이 변하는 흙의 흙 -수분 특성곡선식 개발 비교'. 한국지반공학회논문집, 제16권, 6 호, pp.15-21
  4. Arya, L. M. and Paris, J. F. (1981), 'A physico-empirical model to predict the soil moisture characteristic from particle size distribution and bulk density data' , Soil Science American Journal, Vol.45, pp.1023-1030 https://doi.org/10.2136/sssaj1981.03615995004500060004x
  5. Brooks, R. H, and Corey, A. T. (1964), 'Hydraulic properties of porous media', Colorado State Univ. Hydrol. Paper, No.3, pp.27
  6. Gardner, W. (1956), 'Mathematics of isothermal water conduction in unsaturated soils', High way Research Board Special Report 40 International Symposium on Physico-Chemical Phenomenon in Soils. Washington D.C. pp.78-87
  7. Hagan, M. T, Demuth, H. B. and Beale. M. (1996), 'Neural Network Design', PWS publishing company
  8. van Genuchten, M. T. (1980), 'A closed form equation for prediction the hydraulic conductivity of unsaturated soils', Soil Science Society America Journal, Vol.44, pp.892-898 https://doi.org/10.2136/sssaj1980.03615995004400050002x
  9. Fredlund, M. D., Wilson, G. W. and Fredlund, D. G. (1997), 'Prediction of the soil water characteristic curve from the grain size distribution curve', Proceedings of the 3rd Symposium on Unsaturated Soil, Rio de Janeiro, Brazil, April 20-22, pp.13-23
  10. Fredlund, D. G., Xing, A., and Huang, S. (1994), 'Predicting the permeability function for unsaturated soils using the soil-water characteristic curve', Canadian Geotechnical Journal, 31, pp.533-546 https://doi.org/10.1139/t94-062
  11. Rafiq M.Y., Bugmann G. and Easterbrook, D.J. (2001), 'Neural network design for engineering applications', Computers and Structures, 79, pp.1541-1552 https://doi.org/10.1016/S0045-7949(01)00039-6
  12. Rawls, W. J. and Brakensiek, D. L. (1985), 'Prediction of soil water properties for hydrologic modeling', In E.B. Jones and T.J. Ward (Eds). Watershed Management in the Eighties. Proc. Of Symp. Sponsored by Comm. On Watershed Management, r&D Division, ASCE Convention, Denver, Co, April 30-May 1, pp. 293-299
  13. Scheinost, A. C., Sinowski, W. and Auerswald, K. (1996), 'Regionalization of soil water characteristic curves in a highly variable soil scape', I. Developing a new pedotransfer function, Geoderma, Vol.78, pp.129-143 https://doi.org/10.1016/S0016-7061(97)00046-3
  14. Sillers, W. (1997), 'The mathematical representation of the soil water characteristic curve', M.Sc. thesis, University of Saskatchewan, Saskatoon, Canada
  15. SoilVision (1996), version 3.0 2nd Edition, SoilVision System Ltd., Saskatoon, Saskatchewan, Canada
  16. Tyler, S. W. and Wheatcraft, S. W. (1989), 'Application of fractal mathematics to soil water retention estimation', Soil Science Society American Journal, Vol.53, No.4, pp.987-996
  17. Vereecken, H., Maes, J. Feyen, J. and Darius, P. (1989), 'Estimating the soil moisture retention characteristic from texture, bulk density, and carbon content', Soil Science, Vol.148, No.6, pp.389-403