• Title/Summary/Keyword: 철도노반재료

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Dynamic Deformation Characteristics of Fiber Reinforced Soils with Various Gradation (여러 가지 입도분포를 갖는 섬유혼합토의 동적변형특성)

  • Mok, Young-Jin;Jung, Sung-Yong;Park, Chul-Soo
    • International Journal of Highway Engineering
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    • v.7 no.1 s.23
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    • pp.39-47
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    • 2005
  • Fiber reinforced soils have recently implemented to fills and base layers of highways and railroads, and deformation behaviors of reinforced soils in turn should be investigated. The paper evaluated deformation characteristics of fiber reinforced sands and their effectiveness of reinforcement using resonant column tests. The specimens were prepared by varying gradation and mixing polypropylene staple fibers of 0.3% fiber content. Maximum shear moduli of reinforced sands were increased by up to 30% with increasing uniformity coefficient. Shear moduli of well-graded reinforced sands were larger than those of poorly-graded ones regardless of confining pressure in the whole range of shearing strain and reinforcement was, in turn, more effective with higher uniformity coefficient.

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Evaluation of correlation between Strain mudulus (Ev2) and Deformation modulus (ELFWD) Using Cyclic Plate loading Test and LFWD (소형 FWD와 반복평판재하시험에서의 변형계수(Ev2)와의 상관관계 평가)

  • Choi, Chan-Yong;Lee, Sung Hyok;Bae, Jae Hun;Park, Doo Hee
    • Journal of the Korean Geosynthetics Society
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    • v.10 no.3
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    • pp.33-41
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    • 2011
  • In this study, it conducted a compaction quality control test in 29 domestic construction sites and investigated the relationship between classical method (Cyclic Plate bearing test) and LFWD test with subgrade materials which consist in sandy soil and gravelly soil. According to the test results, the most of soil types were mostly satisfied with specification criterion and gravelly soils were easily satisfied with values over 3 times greater than specification criterion. In term of the correlation relation of soil modulus with the two compaction quality control test methods, it is shown that the sandy soil types were a good correlation, while gravelly soil types with a high stiffness materials were indicated less correlation. After the compensation for stress condition, a linear regression for elastic modulus were higher correlation.

Short-Array Beamforming Technique for the Investigation of Shear-Wave Velocity at Large Rockfill Dams (대형 사력댐에서의 전단파속도 평가를 위한 단측선 빔형성기법)

  • Joh, Sung-Ho;Norfarah, Nadia Ismail
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.1
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    • pp.207-218
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    • 2013
  • One of the input parameters in the evaluation of seismic performance of rockfill dams is shear-wave velocity of rock debris and clay core. Reliable evaluation of shear-wave velocity by surface-wave methods requires overcoming the problems of rock-debris discontinuity, material inhomogeneity and sloping boundary. In this paper, for the shear-wave velocity investigation of rockfill dams, SBF (Short-Array Beamforming) technique was proposed using the principles of conventional beamforming technique and adopted to solve limitations of the conventional surface-wave techniques. SBF technique utilizes a 3- to 9-m long measurement array and a far-field source, which allowed the technique to eliminate problems of near-field effects and investigate local anomalies. This paper describes the procedure to investigate shear-wave velocity profile of rockfill dams by SBF technique and IRF (Impulse-response filtration) technique with accuracy and reliability. Validity of the proposed SBF technique was verified by comparisons with downhole tests and CapSASW (Common-Array-Profiling Spectral-Analysis-of-Surface-Waves) tests at a railroad embankment compacted with rock debris.

Numerical Modeling for the Identification of Fouling Layer in Track Ballast Ground (자갈도상 지반에서의 파울링층 식별을 위한 수치해석연구)

  • Go, Gyu-Hyun;Lee, Sung-Jin
    • Journal of the Korean Geotechnical Society
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    • v.37 no.9
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    • pp.13-24
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    • 2021
  • Recently, attempts have been made to detect fouling patterns in the ground using Ground Penetrating Radar (GPR) during the maintenance of gravel ballast railway tracks. However, dealing with GPR signal data obtained with a large amount of noise in a site where complex ground conditions are mixed, often depends on the experience of experts, and there are many difficulties in precise analysis. Therefore, in this study, a numerical modeling technique that can quantitatively simulate the GPR signal characteristics according to the degree of fouling of the gravel ballast material was proposed using python-based open-source code gprMax and RSA (Random sequential Absorption) algorithm. To confirm the accuracy of the simulation model, model tests were manufactured and the results were compared to each other. In addition, the identification of the fouling layer in the model test and analysis by various test conditions was evaluated and the results were analyzed.