• 콘크리트학회논문집
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• 제14권3호
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• pp.321-330
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• 2002

본 연구는 H-pile과 철근콘크리트 벽체를 전단연결재인 스터드 볼트를 사용하여 합성시킨 합성지하벽의 전단성능에 대한 실험연구 결과와 전단내력 산정시 적용시킬 수 있는 방안을 제시하고 있다. 합성지하벽의 전단성능에 영향을 미칠 합성율, 스터드볼트의 배치방법, 콘크리트벽체의 두께, 전단스팬비 및 전단보강근량을 주요변수로 선정하여 12개의 실험체를 제작하였다. 합성율을 제외한 주요 변수들은 합성지하벽의 전단내력에 영향을 미치는 것으로 나타났다. 아울러 합성지하벽의 전단내력 산정시 V=(Vc＋Vre)＋Vs라는 전단내력식을 기본식으로 하여 기존의 철근 콘크리트 전단내력식으로 제안된 ACI 318-99와 Zsutty식, Bazant식 그리고 철골의 전단내력식으로 제안된 강구조 한계상태 설계법에서 제시하고 있는 식으로 계산한 결과가 실험결과와 유사하게 나타남을 볼 수 있었다. 또한 소정의 합성율이 확보될 경우, 철골부재와 콘크리트벽체가 최대내력시까지 일체로 거동하며, 이를 고려하여 전단내력 산정시 합성부재의 전체깊이를 적용한 경우, 기존의 내력식을 이용하여 합성지하벽의 전단내력 예측이 가능할 것으로 판단된다.

• 한국공간구조학회논문집
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• 제9권3호
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• pp.93-100
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• 2009

최근 문화유산에 대한 관심이 고조 되면서 노후화된 건조물문화재의 보존에 대한 중요성이 대두되고 있다. 건조물문화재의 대부분이 목재를 주재료로 사용하였으며, 이들 건조물문화재의 노후화에 따른 부식 및 손상에 대한 보존수리는 부재자체의 문화재적 가치를 고려하여 원형유지를 기본원칙으로 한다. 이에 따라, 합성수지를 이용한 보존처리방법이 부각되고 있다. 이에 본 논문은 합성수지로 보강한 원형단면 목재의 압축보강 성능에 관한 실험적 연구로서 합성수지의 보강단면적비율, 단면의 보강방향, 보강길이, 합성수지강도를 변수로 하여 총 14개의 시험체를 제작하여 실험하였다. 실험결과 합성수지를 이용하여 적절하게 보강할 경우 신재이상의 보강효과가 있는 것으로 나타났으며 문화재의 보수 및 보강에서 가장 중요한 오센티시티(authenticity)를 확보할 수 있을 것이다.

• Computers and Concrete
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• 제2권1호
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• pp.79-96
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• 2005

The use of high-strength concrete (HSC) has significantly increased over the last decade, especially in offshore structures, long-span bridges, and tall buildings. The behavior of such concrete is noticeably different from that of normal-strength concrete (NSC) due to its different microstructure and mode of failure. In particular, the shear capacity of structural members made of HSC is a concern and must be carefully evaluated. The shear fracture surface in HSC members is usually trans-granular (propagates across coarse aggregates) and is therefore smoother than that in NSC members, which reduces the effect of shear transfer mechanisms through aggregate interlock across cracks, thus reducing the ultimate shear strength. Current code provisions for shear design are mainly based on experimental results obtained on NSC members having compressive strength of up to 50MPa. The validity of such methods to calculate the shear strength of HSC members is still questionable. In this study, a new approach based on artificial neural networks (ANNs) was used to predict the shear capacity of NSC and HSC beams without shear reinforcement. Shear capacities predicted by the ANN model were compared to those of five other methods commonly used in shear investigations: the ACI method, the CSA simplified method, Response 2000, Eurocode-2, and Zsutty's method. A sensitivity analysis was conducted to evaluate the ability of ANNs to capture the effect of main shear design parameters (concrete compressive strength, amount of longitudinal reinforcement, beam size, and shear span to depth ratio) on the shear capacity of reinforced NSC and HSC beams. It was found that the ANN model outperformed all other considered methods, providing more accurate results of shear capacity, and better capturing the effect of basic shear design parameters. Therefore, it offers an efficient alternative to evaluate the shear capacity of NSC and HSC members without stirrups.

• Geomechanics and Engineering
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• 제10권5호
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• pp.677-687
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• 2016

Industrialization and urbanization are the two phenomena that are going relentless all over the world. The consequence of this economic success has been a massive increase in waste on one hand and increasing demand for suitable sites for construction on the other. Owing to the surplus raw materials and energy requirement needed for manufacturing synthetic fibers, applications of waste fibers for reinforcing soils evidenced to offer economic and environmental benefits. The main objective of the proposed work is to explore the possibilities of improving the strength of soil using fly ash waste as an admixture and Human Hair Fiber (HHF) as reinforcement such that they can be used for construction of embankments and land reclamation projects. The effect of fiber content on soil - fly ash mixture was observed through a series of laboratory tests such as compaction tests, CBR and unconfined compression tests. From the stress - strain curves, it was observed that the UCC strength for the optimised soil - flyash mixture reinforced with 0.75% human hair fibers is nearly 2.85 times higher than that of the untreated soil. Further, it has been noticed that there is about 7.73 times increase in CBR for the reinforced soil compared to untreated soil. This drastic increase in strength may be due to the fact that HHF offer more pull-out resistance which makes the fibers act like a bridge to prevent further cracking and thereby it improves the toughness which in turn prevent the brittle failure of soil-flyash specimen. Hence, the test results reveal that the inclusion of randomly distributed HHF in soil significantly improves the engineering properties of soil and can be effectively utilized in pavements. SEM analysis explained the change of microstructures and the formation of hydration products that offered increase in strength and it was found to be in accordance with strength tests.

• 한국철도학회논문집
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• 제12권2호
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• pp.321-328
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• 2009

기존 터널에 근접하여 절리암반 굴착시 사면의 적절한 보강방법 및 시기는 굴착사면과 터널과의 근접도, 굴착사면 경사는 물론 절리상황에 의해 영향을 받자만 현재까지는 경험적으로 결정되고 있다. 본 연구에서는 터널에 근접하여 절리암반 지반을 굴착시 굴착단계에 따른 굴착사변에서의 하중전이 특성과 터널거동과의 상관관계를 분석하기 위하여 절리각도와 굴착사면 경사를 영향인자로 한 대형 모형시험을 실시하였다. 시험결과, 터널변형은 터널 천정부 또는 바닥부에 근접한 절리면 굴착시 가장 크게 발생을 하였으며, 사면과 터널의 안정성은 굴착사면의 경사와 관련하여 굴착단계에 따라 변화하였다. 향후 본 연구결과를 활용하여 절리암반에서의 터널과 사면의 보강방안을 도출하고자 한다.

• 한국구조물진단유지관리공학회 논문집
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• 제16권1호
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• pp.131-139
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• 2012

콘크리트 기둥에 사용되는 횡방향 철근은 압축콘크리트 파괴 시 횡방향 벌어짐을 구속하여 폭렬을 줄일 수 있고 콘크리트의 연성을 증가시키는 데에 유효하며 강도손실 보상효과가 있다. 이를 규명하기 위하여, 띠철근의 간격과 나선철근을 변수로 한 실험체를 제작하여 가열실험을 수행하였다. 이 때 전기로 온도를 $300^{\circ}C$, $600^{\circ}C$ 및 $800^{\circ}C$로 설정하여 $13.33^{\circ}C$/분의 속도로 가열하고 2시간동안 그 온도를 유지시켰다. 냉각된 실험체에 대해 응력-변형률 곡선을 구하기 위한 압축실험을 수행하고, 이로부터 탄성계수, 잔존 내력 및 변형률 등의 잔존 역학적 특성을 분석하였다. 실험결과 횡방향 철근비가 높을수록 철근이 콘크리트를 구속하여 다축 응력 상태가 되기 때문에 고온을 받은 콘크리트의 잔존 최대응력이 커지고 더욱 큰 변형을 발휘할 수 있는 있는 것을 확인하였다. 이울러, 콘크리트의 잔존 탄성계수의 감소율은 횡방향 철근의 구속효과로 작아지는 것으로 분석되었다.

• 터널과지하공간
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• 제12권2호
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• pp.107-114
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• 2002

터널 2차라이닝은 지반하중의 합리적인 산정기준의 부재와 보수적 경향의 지반이완하중법이 적용되고 있기 때문에 과다한 경향으로 보강되고 있는 실정이다. 2차라이닝에 고려되는 주요하중으로는 지반이완하중과 수압을 들 수 있으며, 배수터널의 경우에는 지반하중이 가장 큰 하중이 된다. 터널 주변 지반에 별도의 외력이 작용하지 않는다면, 2차라이닝에 작용하는 하중의 직접적인 원인은 1차지보재의 지지력 저하이다. 따라서, 2차라이닝의 설계시에는 지반과 1차지보재와의 상호작용을 고려한 합리적인 해석방법이 요구된다. 본 논문에서는 단순한 질량-스프링 모델을 통하여 지반-1차지보재-2차라이닝의 상호작용을 개념적 모델로 설명하였으며, 이를 원형터널에 대한 이론해석을 통하여 지반-1차지보재-2차라이닝 의 상호작용에 대한 하중전이 특성을 입증하였다. 그리고, 복잡한 터널해석조건에 대한 본 모델의 적용성을 검토하기 위하여 수치해석법의 적용성을 검증하였다.

• 대한통합의학회지
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• 제8권4호
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• pp.183-190
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• 2020

Purpose : The purpose of this study was to investigate the effect of increased gait function enhancement exercise in three adolescent convulsive cerebral palsy sinuses on children's large movement function, balance and gait function, self-efficacy, and guardian attitude. Methods : The purpose of this study was to conduct a program to strengthen trunk muscles and strengthen walking ability 5 times a week for 8 weeks in 3 children with convulsive cerebral palsy in adolescence. The main reinforcement of the program was 20 minutes of muscle strength and 20 minutes of walking on a treadmill five times a week. Exercises were focused on the reinforcement of the flexor muscles of the proprioceptive neuromuscular promotion (PNF) and the extension of the legs in the bridge posture exercise and squat movements. Results : The results of GMFM-88 to determine the effects of this functional enhancement program on the body of children with convulsive cerebral palsy, and PBS & TUG to determine the effects of balance and gait ability were improved. In addition, parenting attitudes of guardians, self-efficacy of children, and self-efficacy of parents increased positively due to mental consequences. Conclusion : The results of GMFM-88 to determine the effects of this functional enhancement program on the body of children with convulsive cerebral palsy, and PBS & TUG to determine the effects of balance and gait ability were improved. In addition, parenting attitudes of guardians, self-efficacy of children, and self-efficacy of parents increased positively due to mental consequences.

• Structural Engineering and Mechanics
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• 제82권1호
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• pp.121-131
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• 2022

The main goal of this study is to prepare a program for analyzing High Strength Steel Fibrous Reinforced Concrete (HSSFRC) slabs and predict the response and strength of the slab instead of preparing a prototype and testing it in the laboratory. For this purpose, new equations are proposed to represent the material properties of High Strength Steel Fibrous Reinforced Concrete. The proposed equations obtained from performing regression analysis on many experimental results using statistical programs. The finite element method is adopted for non-linear analysis of the slabs. The eight-node "Serendipity element" (3 DoF) is chosen to represent the concrete. The layered approach is adopted for concrete elements and the steel reinforcement is represented by a smeared layer. The compression properties of the concrete are modeled by a work hardening plasticity approach and the yield condition is determined depending on the first two stress invariants. A tensile strength criterion is adopted in order to estimate the cracks propagation. many experimental results for testing slabs are compared with the numerical results of the present study and a good agreement is achieved regarding load-deflection curves and crack pattern. The response of the load deflection curve is slightly stiff at the beginning because the creep effect is not considered in this study and for assuming perfect bond between the steel reinforcement and the concrete, however, a great agreement is achieved between the ultimate load from the present study and experimental results. For the models of the tension stiffening and cracked shear modulus, the value of Bg and Bt (Where Bg and Bt are the curvature factor for the cracked shear modulus and tension stiffening models respectively) equal to 0.005 give good results compared with experimental result.

• Computers and Concrete
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• 제28권6호
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• pp.533-547
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• 2021

Calculating the shear capacity of slender reinforced concrete beams without shear reinforcement was the subject of numerous studies, where the eternal problem of developing a single relationship that will be able to predict the expected shear capacity is still present. Using experimental results to extrapolate formulae was so far the main approach for solving this problem, whereas in the last two decades different research studies attempted to use artificial intelligence algorithms and available data sets of experimentally tested beams to develop new models that would demonstrate improved prediction capabilities. Given the limited number of available experimental databases, these studies were numerically restrained, unable to holistically address this problem. In this manuscript, a new approach is proposed where a numerically generated database is used to train machine-learning algorithms and develop an improved model for predicting the shear capacity of slender concrete beams reinforced only with longitudinal rebars. Finally, the proposed predictive model was validated through the use of an available ACI database that was developed by using experimental results on physical reinforced concrete beam specimens without shear and compressive reinforcement. For the first time, a numerically generated database was used to train a model for computing the shear capacity of slender concrete beams without stirrups and was found to have improved predictive abilities compared to the corresponding ACI equations. According to the analysis performed in this research work, it is deemed necessary to further enrich the current numerically generated database with additional data to further improve the dataset used for training and extrapolation. Finally, future research work foresees the study of beams with stirrups and deep beams for the development of improved predictive models.