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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.41 No.2
- 발행연도
- 2021.10
- 수록면
- 237 - 247 (11page)
이용수
초록· 키워드
오류제보하기
Safety monitoring and stability analysis of high slopes are essential for construction of concrete dam in precipitous gorges or mountainous areas. The estimate of slope stability is a difficult engineering shortcoming with a number of variables. Thereafter, a hybrid model of Support Vector Regression (SVR) and Teaching?learning-based optimization technique (TLBO) is proposed to develop the predicting function. TLBO was used in obtaining the best SRV factors to improve the prediction accuracy. Few essential factors, such as the installation height of instruments, classification of rock masses, modulus of elasticity, the complete measuring time cycle, the excavation height of slope, the start measuring time, and the actual excavation height after measurement are considered as the input parameter, but the slope displacement is regarded as output. The outcomes showed SRV-TLBO a reliable hybrid accurate prediction of slope stability, then it was effectively used to the left abutment slope of Jinping I hydropower station located in Yalongjiang concrete dam reservoir as a novel method for this purpose.
목차
등록된 정보가 없습니다.
참고문헌 (63)
참고문헌 신청
Ebrahim Afsar Dizaj / 2017 / Probabilistic seismic demand assessment of steel frames braced with reduced yielding segment buckling restrained braces / Advances in Structural Engineering 21(7):1002~1020
Azin Al Kajbaf / 2018 / Numerical simulation of failure in steel posttensioned connections under cyclic loading / Engineering Failure Analysis 91:35~57
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Jürgen Bode / 2000 / Neural networks for cost estimation: Simulations and pilot application / International Journal of Production Research 38(6):1231~1254
Azin Al Kajbaf / 2018 / Numerical simulation of failure in steel posttensioned connections under cyclic loading / Engineering Failure Analysis 91:35~57
A.C. Altunisik / 2017 / System identification of arch dam model strengthened with CFRP composite materials / Steel and Composite Structures, An International Journal 25(2):231~244
Bode, J. / 2000 / Neural networks for cost estimation : simulations and pilot application / Int. J. Production Res 38(6):1231~1254
Jürgen Bode / 2000 / Neural networks for cost estimation: Simulations and pilot application / International Journal of Production Research 38(6):1231~1254
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