한국해양대학교

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초고층 콘크리트 건물 기둥축소량 예측을 위한 매개변수 및 적용모델의 영향

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dc.contributor.author 김하현 -
dc.date.accessioned 2017-02-22T07:07:08Z -
dc.date.available 2017-02-22T07:07:08Z -
dc.date.issued 2009 -
dc.date.submitted 56905-02-07 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002175955 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/10291 -
dc.description.abstract There are some proposed formulas by ACI, PCA, CEB-FIP and B3 which can be used to analyze column shortening, and each model has difference in calculating inelastic shortening that has influence on differential shortening. This study performed a comparative analysis on parameter of each proposed formula for column shortening, and analyzed column shortening of two columns of 54-story C apartment in Haewoondae according to a proposed formula by each model. The analysis includes comparing the elasticity, creep, drying shrinkage shortening, the whole shortening, and differential shortening by each model with the column shortening analysis using the deterministic method, and the probabilistic method utilizing monte carlo simulation. And this study shows that the potential maximum shortening can be predicted using each formula by comparing shortening in each confidence interval with field measurement and probabilistic analysis. The results in this research are as follows. 1. As the result of comparing time-dependent creep rate and drying shrinkage rate with CEB-FIP, there was great difference on the day of completion 1000 days, between ACI and PCA, thus it was not appropriate to compare the influence of variable with probabilistic analysis, and it was also not appropriate to compare B3 model with variable of other models that had different formula of calculating creep shortening. Therefore, the researcher developed the method of analyzing probabilistic column shortening that is easy to compare the influence of variable with PCA model in previous studies. 2. As the result of deterministic analysis, it indicated that drying shrinkage shortening of PCA model were 1.6∼1.7 times greater than that of ACI model. Subsequent to slab installation shortening by PCA model was 114 ∼116%, and the total shortening was 129∼134%. 3. Differential shortening and the total shortening of PCA was 1.11∼1.14 times and 1.15∼1.27 times greater respectively as compared with ACI as the width of confidence interval was increased more subsequent to slab installation. 4. As the result of comparing field measurement with probabilistic analysis, the result by ACI model was closer to field measurement than the result by PCA. Furthermore, field measurement of ACI and PCA was between the mean value and the lowest value in 68.26% of confidence interval. Therefore this study can predict the potential maximum shortening without reference to applied formula. -
dc.description.tableofcontents 1. 서론 = 1 1.1 연구배경 및 목적 = 1 1.2 연구동향 = 2 1.3 연구범위 및 방법 = 4 2. 기둥축소량 해석을 의한 적용모델 및 매개변수 비교 분석 = 7 2.1 탄성축소량 = 7 2.2 크리프 축소량 = 8 2.2.1 ACI, PCA 모델식 = 9 2.2.2 CEB-FIP 모델식 = 10 2.2.3 B3 모델식 = 11 2.3 건조수축 축소량 = 13 2.3.1 ACI, PCA 모델식 = 13 2.3.2 CEB-FIP 모델식 = 15 2.3.3 B3 모델식 = 15 2.4 매개변수 비교 분석 = 16 3. 확률론적 기둥축소량 해석법 = 24 3.1 몬테카를로 기법에 의한 확률론적 기둥축소량 해석법 = 24 3.2 확률론적 기둥축소량 프로그램 구성 = 25 4. 초고층 콘크리트 건물 적용결과 = 27 4.1 예제건물 일반사항 = 27 4.1.1 기둥축소량 해석위치 = 27 4.1.2 콘크리트 재료특성 = 28 4.2 결정론적 기둥축소량 해석 = 28 4.2.1 ACI 모델에 의한 결정론적 기둥축소량 해석 결과 = 28 4.2.2 PCA 모델에 의한 결정론적 기둥축소량 해석 결과 = 31 4.2.3 결정론적 기둥축소량 해석 결과 비교 = 34 4.3 확률론적 기둥축소량 해석 = 35 4.3.1 슬래브 타설이후 축소량 확률론적 해석 결과 = 35 4.3.2 전체축소량 확률론적 해석 결과 = 45 4.3.3 신뢰구간별 축소량 = 54 4.4 결정론적 방법과 확률론적 방법의 비교 분석 = 59 4.4.1 슬래브 타설이후 축소량 비교 = 59 4.4.2 전체축소량의 비교 = 60 4.4.3 부등축소량의 비교 = 61 4.5 장기계측 결과와 비교 분석 = 62 5. 결론 = 68 참고문헌 = 70 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.title 초고층 콘크리트 건물 기둥축소량 예측을 위한 매개변수 및 적용모델의 영향 -
dc.title.alternative Influence of Parameters and Models on Column Shortening Prediction for Tall Concrete Buildings -
dc.type Thesis -
dc.date.awarded 2009-02 -
dc.contributor.alternativeName Kim -
dc.contributor.alternativeName Ha-Hyun -
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해양건축공학과 > Thesis
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