최소자승법을 이용한 준설토 문제의 system identification

• 영문명: System identification on dredged soil problems using least square method
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 유남재(Yoo Nam Jae) 김영길(Kim Young Gil) 박병수(Park Byung Soo) 이명욱(Lee Myung Woog)
• 간행물 정보: 『산업기술연구』vol.19, 1~7쪽, 전체 7쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 1999.09.30

영문 초록

This paper is a research about system identification which optimizes uncertain geotechnical properties from the data measured during geotechnical design and construction. Various numerical optimization algorithms of Simplex method, Powell method, Rosenbrock method and Levenberg-Marquardt method were applied to the excavation problem to determine which method showed the best results with respect to robustness of success in finding an optimal solution to within a certain accuracy and numebr of function evaluations. From the results of numerical analysis, all of four algorithms are converged to exact solution after satisfying the allowed criteria, and Levenberg-Marquardt’s algorithms was identified to be the most efficient method in number of function evaluations. System identification was applied to geotechnical engineering problems, possibly being occured in field, to verify its applicability : estimation of settlement due to self-weight consolidation in dredged and filled soil. For self-weight consolidational settlement of a dredged soil, a program of evaluating the constitutive relationship of effective stress-void ratio-permeability was developed by using the technique of system identification. Thus, consolidational characteristics of a dredged soil, having a very high initial void ratio, can be evaluated.

목차

Abstract

2. 최적화 알고리즘의 선택

3. 준설토의 압밀문제

4. 결론

참고문헌

키워드

준설매립토 압밀 최적화 Dredged and Reclaimed Soil Consolidation Optimization System Identification