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      KCI등재 SCIE SCOPUS

      Analysis of Stress-strain Characteristics of Geogrid Reinforced Crushed Gravel

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      https://www.riss.kr/link?id=A106027131

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      다국어 초록 (Multilingual Abstract)

      To study the stress-strain characteristics of reinforced cushion with multi-layer geogrids, a new calculation method was proposed. Based on hyperbolic model, the reinforced cushion was regard as a nonlinear elastomer. The effect of reinforcing geogrid...

      To study the stress-strain characteristics of reinforced cushion with multi-layer geogrids, a new calculation method was proposed. Based on hyperbolic model, the reinforced cushion was regard as a nonlinear elastomer. The effect of reinforcing geogrids was considered as an equivalent additional pressure and included into the gravel skeleton. Considering the friction effect between geogrids and crushed gravel, the calculation method of stress-strain relationship and shear strength of the reinforced crushed gravel was deduced through definite integral. The proposed method was verified by triaxial tests and the calculated results were in good agreement with the measured data. Furthermore, the key parameters influencing the shear strength, such as the total number of geogrids, the geogrids spacing and the corresponding position, were quantified through sensitivity analysis. The effects of the key parameters on the stress-strain relationship of reinforced cushion were determined. It is shown that the ability of reinforced body to resist bulging deformation is great improved by geogrids. The key parameters are the confining pressure and the total number of geogrids. With the increase of the total number and the confining pressure, the shear strength of the reinforced body increases; but the shear strength is less affected by its location. The research results can provide reference for practical projects.

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      참고문헌 (Reference)

      1 Vu-Bac, N., "Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters" 68 (68): 446-464, 2015

      2 Dehghan, A., "Triaxial shear behaviour of sandgravel mixtures reinforced with cement and fibre" 10 (10): 510-520, 2016

      3 Huang, X., "The experimental and theoretical research and its application of geobelt reinforced gravel cushion foundation" Taiyuan University of Technology 2005

      4 Yang, Z., "Strength and deformation characteristics of reinforced sand" University of California 1972

      5 Vu-Bac, N., "Stochastic predictions of interfacial characteristic of polymeric nanocomposites(pncs)" 59 (59): 80-95, 2014

      6 Vu-Bac, N., "Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations" 68 (68): 70-84, 2014

      7 Hamdia, K. M., "Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions" 206 (206): 215-227, 2017

      8 Hamdia, K. M., "Sensitivity and uncertainty analysis for flexoelectric nanostructures" 337 (337): 95-109, 2018

      9 Salour, F., "Permanent deformation characteristics of silty sand subgrades from multistage RLT tests" 18 (18): 236-246, 2016

      10 Consoli, N. C., "Performance of a fibre-reinforced sand at large shear strains" 57 (57): 751-756, 2007

      1 Vu-Bac, N., "Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters" 68 (68): 446-464, 2015

      2 Dehghan, A., "Triaxial shear behaviour of sandgravel mixtures reinforced with cement and fibre" 10 (10): 510-520, 2016

      3 Huang, X., "The experimental and theoretical research and its application of geobelt reinforced gravel cushion foundation" Taiyuan University of Technology 2005

      4 Yang, Z., "Strength and deformation characteristics of reinforced sand" University of California 1972

      5 Vu-Bac, N., "Stochastic predictions of interfacial characteristic of polymeric nanocomposites(pncs)" 59 (59): 80-95, 2014

      6 Vu-Bac, N., "Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations" 68 (68): 70-84, 2014

      7 Hamdia, K. M., "Stochastic analysis of the fracture toughness of polymeric nanoparticle composites using polynomial chaos expansions" 206 (206): 215-227, 2017

      8 Hamdia, K. M., "Sensitivity and uncertainty analysis for flexoelectric nanostructures" 337 (337): 95-109, 2018

      9 Salour, F., "Permanent deformation characteristics of silty sand subgrades from multistage RLT tests" 18 (18): 236-246, 2016

      10 Consoli, N. C., "Performance of a fibre-reinforced sand at large shear strains" 57 (57): 751-756, 2007

      11 Saltelli, A., "Non-parametric statistics in sensitivity analysis for model output : A comparison of selected techniques" 28 (28): 229-253, 1990

      12 Badawy, M. F., "Hybrid nonlinear surrogate models for fracture behavior of polymeric nanocomposites" 50 (50): 64-75, 2017

      13 Shewbridge, S. E., "Deformation characteristics of reinforced sand in direct shear" 115 (115): 1134-1147, 1989

      14 Gray, D. H., "Behavior of fabric-versus fiberreinforced sand" 112 (112): 181-187, 1986

      15 Vu-Bac, N., "A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites" 96 (96): 520-535, 2015

      16 Vu-Bac, N., "A software framework for probabilistic sensitivity analysis for computationally expensive models" 100 (100): 19-31, 2016

      17 Ajayi, O., "A behavioural framework for fibre-reinforced gravel" 67 (67): 1-13, 2016

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-05-27 학술지명변경 한글명 : 대한토목학회 영문논문집 -> KSCE Journal of Civil Engineering KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.12 0.49
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.42 0.39 0.286 0.06
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