인공신경망을 이용한 풍화토의 강도정수 산정
Assessment of Shear Strength Parameter for Weathered Soils Using Artificial Neural Network
0
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
Weathered soil slope loses its shear strength if it is exposed in the air for a long time or in contact with water. And this kind of strength loss is remarkable in dam slope which has very big difference in water level according to the season. In this study, shear strength loss of weathered soil due to saturation had been found out through dryness and wetness repetition direct shear test. Also relation between penetration blow number(Nc) and shear strength parameter had been found out through small sized dynamic cone penetration test device and the correlation equation of Nc had been proposed through artificial neural network analysis to estimate shear strength parameter easily.
Abstract
Weathered soil slope loses its shear strength if it is exposed in the air for a long time or in contact with water. And this kind of strength loss is remarkable in dam slope which has very big difference in water level according to the season. In this study, shear strength loss of weathered soil due to saturation had been found out through dryness and wetness repetition direct shear test. Also relation between penetration blow number(Nc) and shear strength parameter had been found out through small sized dynamic cone penetration test device and the correlation equation of Nc had been proposed through artificial neural network analysis to estimate shear strength parameter easily.
참고문헌 (13)
- 김찬기, "풍화화강암과 풍화토의 공학적 성질과 응용" (1999), 창우출판
- 김홍택, "인공신경망을 이용한 굴착단계별 흙막이 벽체의 최대변위 예측시스템 개발", 한국지반공학회 논문집, 16(1), pp.83~98 (2000)
- 박병기, "화강암질 풍화토의 특성연구(Ⅰ)", 대한토목학회지, 21(4), pp.83~96 (1973)
- 박형규, "인공신경망을 이용한 압밀거동 예측", 한국지반공학회 가을학술발표회, pp.673~680 (2000)
- 오창석, "뉴로컴퓨터" (1997), 지성출판사
- Anthony T. C., "Seismic Liquefaction Potential Assessed by Neural Network", J. Geotech. Engng. ASCE, 120(9), pp.1467~1480 (1994)
- Anthony T.C., "Estimation of lateral wall movements in braced excavations using neural networks", Can. Geotech. J, 32, pp.1059~1064 (1995)
- Anthony T. C., "Neural-Network Modeling of CPT Seismic Liquefaction Data", J. Geotech. Engng. ASCE, 122(1), pp.70~73 (1996)
- Anthony T.C., "Pile driving records reanalyzed using neural network", J. Geotech. Engng. ASCE, 122(6), pp.492~495 (1996)
- Asaoka,A., "Observational procedure of settlement prediction", Soil and Foundation, 18(4), pp.87~101 (1978)
- Bailey, D., "How to develop neural network application", AI Expert, 5(6), pp.38~47 (1990)
- Braja M., "Principles of Geotechnical Engineering", PWS Publishing Company
- Ellis, G. W., "Neural network modeling of the mechanical behavior ofsand", Proc., 9th Conf., ASCE Engng. Mech. ASCE, pp.421~424 (1992)