• Title/Summary/Keyword: 측방유동 판정식

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Comparisons of Empirical Methods with Numerical Analysis on Lateral Flow in Soft Soils (측방유동에 관한 경험식 및 수치해석의 비교)

  • Kim Dae-Kyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.4
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    • pp.665-670
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    • 2006
  • In this paper, the results of empirical methods and the numerical analysis were compared and investigated on the lateral displacement due to embankment in soft soil. The empirical methods gave different results so the possibility of lateral displacement could not be determined only by the empirical methods. The numerical analysis could be used so effectively that its result showed useful lateral and vertical displacements with depth and distance.

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Application of Probabilistic Neural Network (PNN) for Evaluating the Lateral Flow Occurrence on Soft Ground (연약지반의 측방유동 평가를 위한 확률신경망 이론의 적용)

  • Kim, Young Sang;Joo, No Ah;Lee, Jeong Jae;Lee, Sook Ju
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.1C
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    • pp.1-8
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    • 2008
  • Recently, there have been many construction projects on soft ground with growth of industry and economy. Therefore foundation piles of abutments and(or) buildings had been suffering from a lot of stability problems of inordinary displacement due to lateral flow of soft ground. Although many researches about lateral flow have been carried out, it is still difficult to assess the mechanism of lateral flow in soft ground quantitatively. And reasonable design method for judgement of lateral flow occurrence in soft ground is not established yet. In this study, six PNN (Probabilistic Neural Network) models were developed according to input variables and database compiled from Korea and Japan for the judgment of lateral flow occurrence. PNN models were compared with present empirical methods. It was found that the developed PNN models can give more precise and reliable judgment of lateral flow occurrence than empirical methods.

Evaluation Model for Lateral Flow on Soft Ground Using Commitee and Probabilistic Neural Network Theory (군집신경망과 확률신경망 이론을 이용한 연약지반의 측방유동 평가 모델)

  • Kim, Young-Sang;Joo, No-Ah;Lee, Jeong-Jae
    • Journal of the Korean Geotechnical Society
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    • v.23 no.7
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    • pp.65-76
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    • 2007
  • Recently, there have been many construction projects on soft ground with growth of industry and various construction problems concerning soft soil behavior also have been reported. Especially, foundation piles of abutments and (or) buildings which were constructed on the soft ground have been suffering from a lot of stability problems of inordinary displacement due to lateral flow of soft ground. Although many researches for this phenomena have been carried out, it is still difficult to assess the mechanism of lateral flow on soft ground quantitatively. And reliable design method for judgement of lateral flow occurrence is not established yet. In this study, PNN (probabilistic neural network) and CNN (committee neural network) theories were applied for judgment of lateral flow occurrence based on eat data compiled from Korea and Japan. Predictions of PNN and CNN models for new data which were not used during model development are compared with those predicted by conventional empirical methods. It was found that the developed PNN and CNN models can predict more precise and reliable judgment of lateral flow occurrence than conventional empirical methods.

Reliability Analysis on the Decision Method of Lateral Flow of Foundation Piles for Abutment (교대 기초말뚝의 측방유동 판정식에 관한 신뢰성 해석)

  • Ahn, Jong-Pil;Kim, Gyu-Deok;Kim, Il-Goo;Choi, Jin-Ho
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.10a
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    • pp.1090-1097
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    • 2008
  • This study conducted the decision method of lateral flow in abutment structures founded on the soft soils and the reliability analysis on the foundation pile for abutment. On the basis of the results, this study proposed the reliability design model. Reliability analysis was conducted by applying second moment method, point estimation method, and expected total cost minimization to lateral movement index, lateral movement decision index, modified lateral movement decision index, and circular failure safety factor for the decision criteria of lateral flow. The reliability index by analysis method had a similar tendency each other. Point estimation method was found as a practical method in the aspect of convenience because it could conduct the analysis only by mean and standard deviation as well as the partial derivative on random variables was not necessary. Optimum reliability index and optimum safety according to increasing in failure factors and load ratio were analyzed and loads and resistance factors of the design criteria of optimum reliability were estimated. It presented rational design model which can consider construction level and stability and economical efficiency overall.

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