RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
          펼치기
        • 주제분류
        • 발행연도
          펼치기
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        쇄석다짐말뚝으로 개량된 지반의 극한한계상태에 대한 저항편향계수 산정

        봉태호,김병일,김성렬,Bong, Tae-Ho,Kim, Byoung-Il,Kim, Sung-Ryul 한국지반공학회 2019 한국지반공학회논문집 Vol.35 No.6

        이 연구에서는 쇄석말뚝공법의 한계상태설계법 적용을 위하여 양질의 현장재하시험 자료로부터 저항편향계수의 통계적 특성을 분석하고 지반 불확실성 및 시공 오차를 고려한 총 저항편향계수를 산정하였다. 저항편향계수 산정을 위한 예측모델은 기존 모델들에 비하여 높은 예측성능을 보인 Bong and Kim(2017)의 MLR 모형을 활용하였으며 그 적합성을 평가하였다. 저항편향계수의 확률분포를 산정하기 위하여 카이제곱 적합도 검정을 수행하였으며 정규분포가 가장 적합한 것으로 나타났다. 공칭저항의 총 변동성은 점토의 비배수전단강도 및 쇄석말뚝 시공 시 발생할 수 있는 시공 오차에 대한 불확실성을 포함하여 산정하였다. 최종적으로 총 저항편향계수의 확률분포는 로그정규분포를 따르는 것으로 나타났다. 총 저항편향계수의 변동성에 따른 확률분포의 매개변수는 Monte Carlo 시뮬레이션을 통하여 산정하였으며, 간편한 적용을 위하여 이에 대한 회귀식을 제안하였다. In this study, the statistical characteristics of the resistance bias factors were analyzed using a high-quality field load test database, and the total resistance bias factors were estimated considering the soil uncertainty and construction errors for the application of the limit state design of aggregate pier foundation. The MLR model by Bong and Kim (2017), which has a higher prediction performance than the previous models was used for estimating the resistance bias factors, and its suitability was evaluated. The chi-square goodness of fit test was performed to estimate the probability distribution of the resistance bias factors, and the normal distribution was found to be most suitable. The total variability in the nominal resistance was estimated including the uncertainty of undrained shear strength and construction errors that can occur during the aggregate pier construction. Finally, the probability distribution of the total resistance bias factors is shown to follow a log-normal distribution. The parameters of the probability distribution according to the coefficient of variation of total resistance bias factors were estimated by Monte Carlo simulation, and their regression equations were proposed for simple application.

      • KCI등재

        확률론적 응답면 기법을 이용한 저수지 제체의 침투수량 해석

        봉태호,손영환,노수각,최우석,Bong, Tae-Ho,Son, Young-Hwan,Noh, Soo-Kack,Choi, Woo-Seok 한국농공학회 2013 한국농공학회논문집 Vol.55 No.3

        The seepage quantity analysis of reservoir embankment is very important for assessment of embankment safety. However, the conventional analysis does not consider uncertainty of soil properties. Permeability is known that the coefficient of variation is larger than other soil properties and seepage quantity is highly dependent on the permeability of embankment. Therefore, probabilistic analysis should be carried out for seepage analysis. To designers, however, the probabilistic analysis is not an easy task. In this paper, the method that can be performed probabilistic analysis easily and efficiently through the numerical analysis based commercial program is proposed. Stochastic response surface method is used for approximate the limit state function and when estimating the coefficients, the moving least squares method is applied in order to reduce local error. The probabilistic analysis is performed by LHC-MCS through the response surface. This method was applied to two type (homogeneous, core zone) earth dams and permeability of embankment body and core are considered as random variables. As a result, seepage quantity was predicted effectively by response surface and probabilistic analysis could be successfully implemented.

      • KCI우수등재

        비균질 지반에서 압밀계수의 확률분포가 압밀의 확률론적 해석에 미치는 영향

        봉태호,허준,손영환,Bong, Tae-Ho,Heo, Joon,Son, Young-Hwan 한국농공학회 2018 한국농공학회논문집 Vol.60 No.3

        In this study, a simple probabilistic approach using equivalent coefficient of consolidation ($c_e$) was proposed to consider the spatial variability of coefficient of vertical consolidation ($c_v$), and the effect of the probability distribution of coefficient of consolidation on degree of consolidation in heterogeneous soil was investigated. The statistical characteristics of consolidation coefficient were estimated from 1,226 field data, and four probability distributions (Normal, Log-normal, Gamma, and Weibull) were applied to consider the effect of probability distribution. The random fields of coefficient of consolidation were generated based on Karhunen-Loeve expansion. Then, the equivalent coefficient of consolidation was calculated from the random field and used as the input value of consolidation analysis. As a result, the probabilistic analysis can be performed effectively by separating random field and numerical analysis, and probabilistic analysis was performed using a Latin hypercube Monte Carlo simulation. The results showed that the statistical properties of $c_e$ were changed by the probability distribution and spatial variability of $c_v$, and the probability distribution of $c_v$ has considerable effects on the probabilistic results. There was a large difference of failure probability depend on the probability distribution when the autocorrelation distance was small (i.e., highly heterogeneous soil). Therefore, the selection of a suitable probability distribution of $c_v$ is very important for reliable probabilistic analysis of consolidation.

      • KCI등재

        유속 및 입경에 따른 조립토의 이동 및 퇴적 특성

        봉태호,손영환,김규선,박재성,김동근,Bong, Tae-Ho,Son, Young-Hwan,Kim, Kyu-Sun,Park, Jae-Sung,Kim, Dong-Geun 한국농공학회 2016 한국농공학회논문집 Vol.58 No.1

        Dredging and land reclamation works has actively carried out for the efficient use of land and secure of agricultural and industrial site. During the reclamation, a portion of landfills are lost from the desired location due to a variety of causes. However, these causes has been rarely studied, and water flow velocity has a great influence on the movement of landfills. For the economical and efficient reclamation, it is important to predict the movement of landfills in water. In this paper, an experimental study was carried out to investigate the deposition distance according to the flow velocity and soil grain size. We have made a large open-channel apparatus that can reproduce a laminar flow, and the deposition test was carried out on the four grain size (0.638, 1.425, 3.375, 7.125 mm) and four flow velocity (0.1, 0.3, 0.5, 0.67 m/s) with high definition video recording. As a results, average deposition distance increased with the flow velocity, and its relationship is shown linearly. For the grain size, the average deposition distance were drastically increased as the grain size becomes smaller.

      • KCI등재

        실트질 모래의 비배수 크리프특성 및 크리프 모델 비교연구

        봉태호,손영환,노수각,박재성,Bong, Tae-Ho,Son, Young-Hwan,Noh, Soo-Kack,Park, Jae-Sung 한국농공학회 2012 한국농공학회논문집 Vol.54 No.1

        Soils exhibit creep behavior in which deformation and movement proceed under a state of constant stress or load. In this study, A series of triaxial tests were performed under constant principal stress in order to interpret the undrained creep characteristics of silty sands. Although samples are non-plastic silty sands, the results of tests show that the creep deformation increasing over time. Based on the results of test, Singh-Mitchell model parameters and Generalized model coefficients were calculated. Generalized model showed slightly larger deformation in the primary creep range but secondary creep deformation was almost identical. Although Singh-Mitchell model showed relatively large errors compared to Generalized model because it uses the average of test results, but Singh-Mitchell model can be easily represented by three creep parameters.

      • KCI등재

        SCP 및 GCP 개량 점성토지반의 실내재하시험에 대한 극한지지력 산정 방법 개발

        봉태호,김병일,한진태,Bong, Tae-Ho,Kim, Byoung-Il,Han, Jin-Tae 한국지반공학회 2018 한국지반공학회논문집 Vol.34 No.6

        본 연구에서는 모래다짐말뚝(sand compaction pile, SCP)과 자갈다짐말뚝(gravel compaction pile, GCP)으로 보강된 지반의 극한지지력을 예측할 수 있는 식을 제안하고자 34개의 국내외 실내재하시험 데이터를 수집하고 이를 분석하였다. 수집된 자료를 기존의 이론식에 의한 극한지지력 산정 값과 비교하여 기존 이론식의 예측 정도를 파악하였다. 또한 극한 지지력 예측식을 제안하고자 다중회귀분석을 수행하였으며, 단일잔류 교차검증에 따른 예측오차평가를 통하여 가장 효율적인 입력변수의 수 및 조합을 선정하였다. 최종적으로 SCP와 GCP의 실내재하시험에 대한 극한 지지력을 예측하기 위한 다중회귀식을 제안하였으며 그 성능을 평가하였다. In this study, 34 laboratory load test data were collected, and analyzed to propose the equations for predicting ultimate bearing capacity of sand compaction pile (SCP) and gravel compaction pile (GCP) reinforced clay. The collected data were compared with the ultimate bearing capacity estimated by existing theoretical equations, and the prediction accuracy of the existing theoretical equations was identified. Also, multiple regression analysis was performed to predict the ultimate bearing capacity, and the most efficient number and type of input variables were selected through error evaluation by leave-one-out cross validation. Finally, the multiple regression equations for estimating the ultimate bearing capacity of laboratory load test for SCP and GCP were proposed, and their performance was evaluated.

      • KCI등재

        압밀계수의 공간변동성에 따른 압밀도의 확률론적 해석

        봉태호,손영환,노수각,박재성,Bong, Tae-Ho,Son, Young-Hwan,Noh, Soo-Kack,Park, Jae-Sung 한국농공학회 2012 한국농공학회논문집 Vol.54 No.3

        Soil properties are not random values which is represented by mean and standard deviation but show spatial correlation. Especially, soils are highly variable in their properties and rarely homogeneous. Thus, the accuracy and reliability of probabilistic analysis results is decreased when using only one random variable as design parameter. In this paper, to consider spatial variability of soil property, one-dimensional random fields of coefficient of consolidation ($C_v$) were generated based on a Karhunen-Loeve expansion. A Latin hypercube Monte Calro simulation coupled with finite difference method for Terzaghi's one dimensional consolidation theory was then used to probabilistic analysis. The results show that the failure probability is smaller when consider spatial variability of $C_v$ than not considered and the failure probability increased when the autocorrelation distance increased. Thus, the uncertainty of soil can be overestimated when spatial variability of soil property is not considered, and therefore, to perform a more accurate probabilistic analysis, spatial variability of soil property needed to be considered.

      • KCI등재

        사질토 지반의 띠하중 재하에 따른 지중응력증가비의 실험적 고찰

        봉태호,김성필,허준,손영환,Bong, Tae-Ho,Kim, Seong-Pil,Heo, Joon,Son, Young-Hwan 한국농공학회 2011 한국농공학회논문집 Vol.53 No.4

        Soil stress distribution under loading is one of the important problems in civil engineering. Many models have been proposed to interpret the stress distribution in soil and most models assume that the soil is homogeneous and isotropic. Therefore, the actual stress distribution may be different. In addition, With the increase of the top load, soil stress does not increase linearly. In this study, vertical stress changes in sandy soil according to top load increase were measured through experiments. Experimental results, vertical soil stress due to top load increase showed an initial nonlinear behavior and when the load increases to some extent, vertical soil stress showed a linear behavior. ${\alpha}$ value obtained by existing theories always 1.00. But, ${\alpha}$ value by experiment was observed from 0.91 to 1.22 and ${\alpha}$ value was increased with increasing distance from the loading plate.

      • KCI등재

        확률론적 하중에 따른 실트질 모래지반 내 지중응력의 변동계수 특성

        봉태호,손영환,김성필,허준,Bong, Tae-Ho,Son, Young-Hwan,Kim, Seong-Pil,Heo, Joon 한국농공학회 2012 한국농공학회논문집 Vol.54 No.6

        Recently, Load and Resistance Factor Design (LRFD) based on reliability analysis has become a global trend for economical and rational design. In order to implement the LRFD, quantification of uncertainty for load and resistance should be done. The reliability of result relies on input variable, and therefore, it is important to obtain exact uncertainty properties of load and resistance. Since soil stress is the main reason causing the settlement or deformation of ground and load on the underground structure, it is essential to clarify the uncertainty of soil stress distribution for accurately predict the uncertainty of load in LRFD. In this study, laboratory model test on silty sand bed under probabilistic load is performed to observe propagation of upper load uncertainty. The results show that the coefficient of variation (COV) of soil stress are varied depending on location due to non-linear relationship between upper load increment and soil pressure increment. In addition, when the load uncertainty is transmitted through ground, COV is decreased by damping effect.

      • KCI등재

        풍화토의 크리프 특성 및 Singh-Mitchell 크리프 방정식 적용성 검토

        봉태호,손영환,김성필,허준,장병욱,Bong, Tae-Ho,Son, Young-Hwan,Kim, Seong-Pil,Heo, Jun,Chang, Pyoung-Wuck 한국농공학회 2009 한국농공학회논문집 Vol.51 No.6

        Soils exhibit creep behavior in which deformation and movement proceed under a state of constant stress or load. In Korea, weathered soil is abundant and occupies around one-third of the country. Weathered soil is visually described as a sandy or gravelley soil, but the behavior is quite different from the behavior of usual sand and gravel. In particular, the permeability of weathered soil is similar to sand, but the durability of settlement is similar to clay. Therefore analysis of time-dependent behavior of weathered soil is very important. In this study, Creep tests with weathered soils were carried out under constant principal stress differences of various stress levels which were experimentally obtained by triaxial compression test. The results of these tests showed the creep behavior for which the deformation increased with time, and the results are consistent with phenomenological model by creep equation of Singh-Mitchell.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼