• Geomechanics and Engineering
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• 제7권3호
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• pp.297-316
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• 2014

This paper presents a detailed study focused on investigating the effects of silt content on the static and dynamic properties of sand-silt mixtures. Specimens with a low-plastic silt content of 0, 15, 30 and 50% by weight were tested in static triaxial, cyclic triaxial, and resonant columns in addition to consolidation tests to determine such parameters as compression index, internal friction angle, cohesion, cyclic stress ratio, maximum shear modulus, normalized shear modulus and damping ratio. The test procedures were performed on specimens of three cases: constant void ratio index, e = 0.582; same peak deviator stress of 290 kPa; and constant relative density, $D_r$ = 30%. The test results obtained for both the constant-void-ratio-index and constant-relative-density specimens showed that as silt content increased, the internal friction angle, cyclic stress ratio and maximum shear modulus decreased, but cohesion increased. In testing of the same deviator stress specimens, both cohesion and internal friction angle were insignificantly altered with the increase in silt content. In addition, as silt content increased, the maximum shear modulus increased. The cyclic stress ratio first decreased as silt content increased to reach the threshold silt content and increased thereafter with further increases in silt content. Furthermore, the damping ratio was investigated based on different silt contents in three types of specimens.

• 한국농공학회논문집
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• 제62권5호
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• pp.73-84
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• 2020

In this study, we compared and analyzed the static and dynamic analysis method for agricultural reservoirs. In addition, we assumed the aging of reservoir as the deterioration of the internal friction angle and cohesion. The internal friction angle and cohesion were applied by dividing into 4 case for each reservoir. As a result of comparing the stability of the reservoir embankment, it was found that the dynamic stability analysis method showed a greater risk than the static stability analysis method when dynamic loads such as earthquakes were applied. Therefore, when detailed review such as liquefaction is required, it is considered that the dynamic stability analysis method should be applied first. If a study on the change in material properties due to the aging of the reservoir is conducted, the stability analysis of the reservoir due to the aging of the reservoir can be performed more accurately. In addition, if a study comparing the results of dynamic stability analysis and static stability analysis for earthquakes with various characteristics for more reservoirs is conducted, detailed criteria for the case where dynamic stability analysis should be considered can be presented.

• Geomechanics and Engineering
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• 제37권3호
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• pp.253-262
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• 2024

Dynamic properties are pivotal in soil analysis, yet their experimental determination is hampered by complex methodologies and the need for costly equipment. This study aims to predict dynamic soil properties using static properties that are relatively easier to obtain, employing machine learning techniques. The static properties considered include soil cohesion, friction angle, water content, specific gravity, and compressional strength. In contrast, the dynamic properties of interest are the velocities of compressional and shear waves. Data for this study are sourced from 26 boreholes, as detailed in a geotechnical investigation report database, comprising a total of 130 data points. An importance analysis, grounded in the random forest algorithm, is conducted to evaluate the significance of each dynamic property. This analysis informs the prediction of dynamic properties, prioritizing those static properties identified as most influential. The efficacy of these predictions is quantified using the coefficient of determination, which indicated exceptionally high reliability, with values reaching 0.99 in both training and testing phases when all input properties are considered. The conventional method is used for predicting dynamic properties through Standard Penetration Test (SPT) and compared the outcomes with this technique. The error ratio has decreased by approximately 0.95, thereby validating its reliability. This research marks a significant advancement in the indirect estimation of the relationship between static and dynamic soil properties through the application of machine learning techniques.

• Geomechanics and Engineering
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• 제37권1호
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• pp.85-95
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• 2024

This study investigates the influence of nano-silica and basalt fiber content, curing duration, and freeze-thaw cycles on the static and dynamic properties of soil specimens. A comprehensive series of tests, including Unconfined Compressive Strength (UCS), static triaxial, and dynamic triaxial tests, were conducted. Additionally, scanning electron microscopy (SEM) analysis was employed to examine the microstructure of treated specimens. Results indicate that a combination of 1% fiber and 10% nano-silica yields optimal soil enhancement. The failure patterns of specimens varied significantly depending on the type of additive. Static triaxial tests revealed a notable reduction in the brittleness index (IB) with the inclusion of basalt fibers. Specimens containing 10% nano-silica and 1% fiber exhibited superior shear strength parameters and UCS. The highest cohesion and friction angle were obtained for treated specimens with 10% nano-silica and 1% fiber, 90 kPa and 37.8°, respectively. Furthermore, an increase in curing time led to a significant increase in UCS values for specimens containing nano-silica. Additionally, the addition of fiber resulted in a decrease in IB, while the addition of nano-silica led to an increase in IB. Increasing nano-silica content in stabilized specimens enhanced shear modulus while decreasing the damping ratio. Freeze-thaw cycles were found to decrease the cohesion of treated specimens based on the results of static triaxial tests. Specimens treated with 10% nano-silica and 1% fiber experienced a reduction in shear modulus and an increase in the damping ratio under freeze-thaw conditions. SEM analysis reveals dense microstructure in nano-silica stabilized specimens, enhanced adhesion of soil particles and fibers, and increased roughness on fiber surfaces.

• Structural Engineering and Mechanics
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• 제65권5호
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• pp.547-556
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• 2018

Based on the shaking table tests of a 1:3.52 scale one-bay and one-story ancient wooden structure, a simplified structural mechanics model was established, and the structural state equation and observation equation were deduced. Under the action of seismic waves, the damage rule of initial stiffness and yield stiffness of the joint was obtained. The force hammer percussion test and finite element calculations were carried out, and the structural response was obtained. Considering the 5% noise disturbance in the laboratory environment, the stiffness parameters of the mortise-tenon joint were identified by the partial least squares of singular value decomposition (PLS-SVD) and the Extended Kalman filter (EKF) method. The results show that dynamic and static cohesion method, PLS-SVD, and EKF method can be used to identify the damage degree of structures, and the stiffness of the mortise-tenon joints under strong earthquakes is reduced step by step. Using the proposed model, the identified error of the initial stiffness is about 0.58%-1.28%, and the error of the yield stiffness is about 0.44%-1.21%. This method has high accuracy and good applicability for identifying the initial stiffness and yield stiffness of the joints. The identification method and research results can provide a reference for monitoring and evaluating actual engineering structures.

• 한국정보과학회논문지:소프트웨어및응용
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• 제33권3호
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• pp.301-315
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• 2006

컴포넌트 기반 시스템에서 재사용 단위인 컴포넌트의 품질은 시스템 개발의 성공을 위해서 가장 중요하다. 컴포넌트의 품질을 향상시키기 위해서는 개발 이전에 측정 가능해야 하고, 그 결과를 컴포넌트 개발 과정에 반영할 수 있어야 한다. 또한 컴포넌트의 품질을 정확하게 측정하여야 한다. 따라서 본 논문에서는 클래스들 간의 상호작용에 의한 정적 그리고 동적인 특성을 적용하여 식별된 컴포넌트의 품질을 좀 더 정확하게 측정할 수 있는 컴포넌트의 응집도와 결합도 메트릭스를 제안한다. 제안된 메트릭스가 이론적으로 타당하다는 것을 검증하기 위하여 Briand이 정의한 프레임워크에 적용하여 증명한다. 또한 메트릭스의 실용성을 검증하기 위해서 사례를 제시하고 기존의 메트릭스와의 비교분석을 통해서 평가 결과를 제시한다. 본 논문에서 제안한 컴포넌트 메트릭스는 식별된 컴포넌트의 품질을 좀 더 정확하게 측정함으로써 컴포넌트 설계를 위한 개발 시간과 노력을 절감한다.

• Geomechanics and Engineering
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• 제4권3호
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• pp.209-218
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• 2012

This paper presents the derivation of an analytical expression for the dynamic active thrust from c-${\phi}$ (c = cohesion, ${\phi}$ = angle of shearing resistance) soil backfill on rigid retaining walls with wall friction and adhesion. The derivation uses the pseudo-static approach considering tension cracks in the backfill, a uniform surcharge on the backfill, and horizontal and vertical seismic loadings. The development of an explicit analytical expression for the critical inclination of the failure plane within the soil backfill is described. It is shown that the analytical expression gives the same results for simpler special cases previously reported in the literature.

• Geomechanics and Engineering
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• 제13권2호
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• pp.301-318
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• 2017

Based on the existing research results, a three-dimensional failure mechanism of tunnel face was constructed. The dynamic seismic effect was taken into account on the basis of quasi-static method, and the nonlinear Mohr-Coulomb failure criterion was introduced into the limit analysis by using the tangent technique. The collapse pressure along with the failure scope of tunnel face was obtained through nonlinear limit analysis. Results show that nonlinear coefficient and initial cohesion have a significant impact on the collapse pressure and failure zone. However, horizontal seismic coefficient and vertical seismic proportional coefficient merely affect the collapse pressure and the location of failure surface. And their influences on the volume and height of failure mechanism are not obvious. By virtue of reliability theory, the influences of horizontal and vertical seismic forces on supporting pressure were discussed. Meanwhile, safety factors and supporting pressures with respect to 3 different safety levels are also obtained, which may provide references to seismic design of tunnels.

• 한국지반공학회논문집
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• 제39권12호
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• pp.37-46
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• 2023

동적 물성치는 지반의 상세한 거동을 예측하기 위한 필수인자이나, 샘플 채취와 추가적인 실험이 동반되는 한계가 있다. 본 연구의 목적은 정적 지반 물성치를 기반으로 동적 지반 물성치를 예측하는 것으로 인공신경망을 활용하고자 하였다. 정적 물성치는 점착력, 내부마찰각, 함수비, 비중 그리고 일축압축강도로 선정하였으며 출력 값인 동적물성치는 압축파 속도와 전단파 속도로 결정하였다. 인공신경망 적용시 결과값의 신뢰성을 높이기 위해 Levenberg-Marquardt와 Bayesian regularization 방법을 적용하였으며, 각 최적화 방법에 따른 신뢰성을 비교하였다. 인공신경망 모델의 정확도는 결정계수로 나타냈으며, train과 test 과정 모두 0.9 이상의 값을 보여 해당 연구에서 구축한 인공신경망의 신뢰성이 높은 것으로 나타났다. 또한, 구축된 인공신경망 모델의 검증을 위해 새로운 입력 데이터에 대해서도 출력값의 신뢰성을 검증하였으며, 그 결과 높은 정확도를 보였다.

• 한국지반공학회논문집
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• 제22권7호
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• pp.13-21
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• 2006

최근 보강토는 토지활용의 극대화 방법의 일환으로 토목구조물에 다양하게 이용되고 있다. 일반적으로 보강토를 축조하는 과정에서 높이 약 $20{\sim}50cm$ 내외로 다짐을 실시하고 있으며, 이러한 다짐과정에서 기계진통이 보강토에 영향을 미치고 있는 상태이다. 본 연구에서는 토목섬유(부직포)로 보강된 화강풍화토에 대한 정적하중 및 동적하중에 의한 비압밀비배수 삼축압축시험을 실시하여 무보강 및 보강화강풍화토의 응력-변형특성 등에 대한 분석을 실시하였다. 즉 비압밀비배수 조건하에서 토목섬유로 보강된 화강풍화토의 전단장도는 주로 점착력성분 증가는 뚜렷하게 나타났으며, 내부마찰각 성분의 증가는 무보강에 비해 다소 작게 나타났다.