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정진섭,권영언,김찬기,이종천 圓光大學校 1993 論文集 Vol.27 No.2
본 연구는 흙이 파괴할 때 전단에 의하여 발생 하는 채적변화에 의한 응력을 보정하는 세개의 방정식을 유도하여 문헌상에서 얻은 시험결과에 적응하여 본 결과 Bishop의 에너지를 고려한 보정방법이 가장 합리적인 것으로 생각되어 Bishop의 방법을 선택하여, 흙이 항복 및 파괴 할 때에 채적변화에 대한 응력보정의 효과를 Poorooshasb모델과 Lade모델에서 검토하였다. 그 결과 전단할 때 채적변화에 대한 응력보정은 흙의 파괴상태를 합리적으로 나타내지 못한다는 사실을 알았다. The effect of volume change at failure and equations worked out to aollow for their contribution to the stresses. Two models for the failure and yield of soil are discussed in this paper and the effects of the corrections are considered in these models. The corrections for volume change do not produce a reasonable change in the stresses. They do not make the task of modeling the soil any simpler, and so not nessecery for consideration. The best method developed so far, describing the failure of the soil is Lade`s model. It describes the failure of the soil very well without volume correction. In fact when volume corrections are applied, the model no longer describes the failure. Poorooshasb`s model, though base on much consideration does not describe the true failure of the soil.
Leighton buzzard와 백마강모래를 이용한 단일항복면구성모델의 평가
정진섭,김찬기,권영언 원광대학교 공업기술개발연구소 1993 工業技術開發硏究誌 Vol.13 No.-
The single surface Hierarchical model(δ1) deveolped by Desai and co-workers are employed to characterize the stress-strain and volumetric response of L B. Sand & Baekma River Sand under various stress paths. Procedure and evaluation for determination of material parameters for the Hierarchical model are presented. Pertinent observations are discussed based on the comparison of predicted response and experimental data. Drained triaxial tests of a L.B Sand ft Baekma River Sand are used to find the parameters. It is shown that even two triaxial test results are sufficient to eveluate the approximate values of the parameters for the model considered.
정진섭,남궁문,김찬기,권영언 圓光大學校 環境建設硏究所 1993 環境建設論文集 Vol.2 No.-
This paper presents a method of rock mass classification by the theory of fuzzy integral. The method is composed of three parts; (1) description of judging classification parameters by fuzzy sets, (2) grading of importance of each parameter, (3) total evaluation of judgement of all parameters by fuzzy integral. An example is shown to illustrate the method of rock mass classification by developed fuzzy integral algorithm.