• Earthquakes and Structures
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• 제13권6호
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• pp.599-611
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• 2017

This paper improves seismic fragility of a typical steel-concrete composite bridge with the deck-to-pier connection joint configuration at the concrete crossbeam (CCB). Based on the quasi-static test on a typical steel-concrete composite bridge model under the SEQBRI project, the damage states for both of the critical components, the CCB and the pier, are identified. The finite element model is developed, and calibrated using the experimental data to model the damage states of the CCB and the bridge pier as observed from the experiment of the test specimen. Then the component fragility curves for both of the CCB and the pier are derived and combined to develop the system fragility curves of the bridge. The uncertainty associated with the mean system fragility has been discussed and quantified. The study reveals that the CCB is more vulnerable than the pier for certain damage states and the typical steel-concrete composite bridge with CCB exhibits desirable seismic performance.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.30-31
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• 2021

This study aims to build a deep learning model that can predict the value of concrete mixing properties according to a given concrete strength value. A model was created for a total of 1,291 concrete data, including 8 characteristics related to concrete mixing elements and environment, and the compressive strength of concrete. As the deep learning model, DNN-3L-256N, which showed the best performance on the prior study, was used. The average value for each characteristic of the data set was used as the initial input value. In results, in the case of 'curing temperature', which had a narrow range of values in the existing data set, showed the lowest error rate with less than 1% error based on MAE. The highest error rate with an error of 12 to 14% for fly and bfs.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1995년도 봄 학술발표회 논문집
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• pp.286-291
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• 1995

The deterioration of PC box girder may cause serious effect on the durability of PC structure compared to that of RC structures. In the durability assessment of PC box girder bridges, a quantitive model on crack width is considered as a measure of durability. This study suggests a durability limit state model for PC box girder bridges. This durability limit state model in formulated based on the conventional models on the cracks in concrete. And the allowable crack width is taken as an assumed value established by the design specification or provided by the maintenance authority of the structure.

• 대한토목학회논문집
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• 제33권5호
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• pp.2125-2133
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• 2013

최근 콘크리트궤도 공법이 증가함에 따라 인접한 슬래브를 연결하는 방법에 대한 관심이 높아지고 있다. 슬래브의 연결부는 효과적인 하중전달, 변형 연속화, 응력 분산을 위해서 다웰 시스템이 다수 적용된다. 본 연구에서는 콘크리트 슬래브 다웰연결부를 효율적으로 이상화할 수 있는 연결부의 집중 전단스프링 (Lumped shear spring) 모델을 제안한다. 전단 스프링 모델의 강성은 다웰바의 강성과 유격을 고려하였으며, 강도는 연결부의 전단파괴에 근거한 Concrete Capacity Design(CCD) 방법에 의해 산정되었다. 해석모델의 타당성을 검증하기 위하여 다웰로 연결된 슬래브 실험체를 제작하고 재하실험을 수행하였다. 제안된 해석모델은 다웰과 콘크리트 간의 유격으로 인한 초기 비선형성 및 콘크리트 재료 비선형성을 합리적으로 반영하고 있는 것으로 분석되었다. 따라서 향후 슬래브 다웰 조인트로 연결된 콘크리트궤도의 파괴 시까지의 비선형 거동을 합리적으로 예측함으로써 철도 궤도의 설계 시 효과적으로 활용될 수 있을 것이다.

• 콘크리트학회논문집
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• 제19권5호
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• pp.655-664
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• 2007

콘크리트의 인장균열에 따른 방향적 비국소 손상이라는 특징은 인장-압축을 받는 철근콘크리트 전단 부재에서 회전인장균열 특성 및 압축강도 감소 현상을 일으킨다. 본 연구에서는 인장과 압축거동에 대하여 다른 손상 모델을 사용하는 기존의 방법과는 달리, 동일한 인장균열 손상 모델을 사용하여, 인장균열거동과 압축연화거동을 나타낸다. 이러한 비국소 균열 손상의 영향을 나타낼 수 있는 소성모델을 개발하기 위하여 미소면 모델의 개념을 도입한다. 기존의 소성모델과 달리, 비국소 균열 손상을 나타내기 위하여 인장과 압축의 소성파괴면은 각 미소면에서 정의하며, 각 미소파괴면의 조합에 의하여 대표파괴면을 정의한다. 이때, 방향적 비국소 균열 손상을 나타내는 소성인장변형률의 영향에 의하여 각 미소면의 인장과 압축 소성변형률의 크기가 결정된다. 본 연구에서 개발된 소성모델은 유한요소해석에 적용되며, 다양한 전단패널의 기존 실험 결과들과 비교하여 제안된 재료 모델의 유효성을 검증한다.

• Computers and Concrete
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• 제2권4호
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• pp.249-266
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• 2005

In the present paper a transient three-dimensional thermo-mechanical model for concrete is presented. For given boundary conditions, temperature distribution is calculated by employing a three-dimensional transient thermal finite element analysis. Thermal properties of concrete are assumed to be constant and independent of the stress-strain distribution. In the thermo-mechanical model for concrete the total strain tensor is decomposed into pure mechanical strain, free thermal strain and load induced thermal strain. The mechanical strain is calculated by using temperature dependent microplane model for concrete (O$\check{z}$bolt, et al. 2001). The dependency of the macroscopic concrete properties (Young's modulus, tensile and compressive strengths and fracture energy) on temperature is based on the available experimental database. The stress independent free thermal strain is calculated according to the proposal of Nielsen, et al. (2001). The load induced thermal strain is obtained by employing the biparabolic model, which was recently proposed by Nielsen, et al. (2004). It is assumed that the total load induced thermal strain is irrecoverable, i.e., creep component is neglected. The model is implemented into a three-dimensional FE code. The performance of headed stud anchors exposed to fire was studied. Three-dimensional transient thermal FE analysis was carried out for three embedment depths and for four thermal loading histories. The results of the analysis show that the resistance of anchors can be significantly reduced if they are exposed to fire. The largest reduction of the load capacity was obtained for anchors with relatively small embedment depths. The numerical results agree well with the available experimental evidence.

• Computers and Concrete
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• 제32권3호
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• pp.327-337
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• 2023

Concrete is the most widely used building material, with various types including high- and ultra-high-strength, reinforced, normal, and lightweight concretes. However, accurately predicting concrete properties is challenging due to the geotechnical design code's requirement for specific characteristics. To overcome this issue, researchers have turned to new technologies like machine learning to develop proper methodologies for concrete specification. In this study, we propose a highly accurate deep learning-based predictive model to investigate the compressive strength (UCS) of lightweight concrete with natural aggregates (pumice). Our model was implemented on a database containing 249 experimental records and revealed that water, cement, water-cement ratio, fine-coarse aggregate, aggregate substitution rate, fine aggregate replacement, and superplasticizer are the most influential covariates on UCS. To validate our model, we trained and tested it on random subsets of the database, and its performance was evaluated using a confusion matrix and receiver operating characteristic (ROC) overall accuracy. The proposed model was compared with widely known machine learning methods such as MLP, SVM, and DT classifiers to assess its capability. In addition, the model was tested on 25 laboratory UCS tests to evaluate its predictability. Our findings showed that the proposed model achieved the highest accuracy (accuracy=0.97, precision=0.97) and the lowest error rate with a high learning rate (R2=0.914), as confirmed by ROC (AUC=0.971), which is higher than other classifiers. Therefore, the proposed method demonstrates a high level of performance and capability for UCS predictions.

• 콘크리트학회논문집
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• 제14권1호
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• pp.24-32
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• 2002

전단문제에서는 일부 설계기준(AASHTO 1994)에 이미 수정압축장이론이 도입되었다. 그리고 현행 콘크리트 설계기준에는 콘크리트의 전단강도가 철근의 전단강도와 합하여 공칭전단강도를 계산하고 있다. 그러나 최근에 개정된 콘크리트설계기준에는 콘크리트의 비틀림강도가 공칭비틀림강도 계산에서 누락되었다. 콘크리트의 인장응력은 비록 크기가 작으나 균열후에 균열사이의 콘크리트에 존재한다. 그러나 휨과 비틀림문제에서는 균열 후 콘크리트의 인장강성은 생략되고 있다. 역학적으로 콘크리트보의 비틀림거동은 전단거동과 매우 유사하다. 그러므로 균열 후 콘크리트의 비틀림강도를 철근콘크리트 보의 공칭비틀림강도의 계산에 포함시켜야 한다. 본 논문에서는 콘크리트의 평균주인장응력이 이루는 콘크리트의 비틀림강도를 횡방향 비틀림철근의 비틀림강도와 함께 공칭비틀림강도를 구성함을 밝혔으며, 이의 타당성을 검증하기 위해 개정 전후의 ACI 의 설계기준에 의한 공칭비틀림강도와 함께 실험값과 비교하였다. 그 결과 본 논문이 제안한 모델에 의한 공칭비틀림강도가 가장 좋은 결과를 보였다.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 1999년도 봄 학술발표회 논문집(I)
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• pp.239-244
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• 1999

The reduction phenomena of the compressive strength of concrete with respect to the size of specimens have been extensively investigated. However, adequate analysis technique have not been developed until now. Existing researches have shown that the larger member size, the smaller the strength. This indicated the necessity of nonlinear fracture mechanics theory in order to analyze the fracture behaviors of concrete. The are some models that predict the size effect of compressive strength of cylindrical specimens. Theses equations, however, are developed not considering the difference of fracturing mechanism which depends on both geometry of specimen and the strength level of concrete. In this paper, a model to predict compressive strength of cylindrical concrete specimens with respect to diameters, h/d ratios, and the strength level of concrete, is suggested. For this purpose, theoretical and statistical analyses are conducted. Experimental constants used in the model of new size effect are formulated in terms of strength levels of concrete based on existing experimental data.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 춘계학술발표회 논문집(I)
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• pp.490-493
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• 2006

The purpose of this study is to investigate the inelastic behavior of reinforced high-strength concrete bridge columns. A computer program, named RCAHEST (Reinforced Concrete Analysis in Higher Evaluation System Technology), for the analysis of reinforced concrete structures was used. Material nonlinearity is taken into account by comprising tensile, compressive and shear models of cracked concrete and a model of reinforcing steel. The smeared crack approach is incorporated. The increase of concrete strength due to the lateral confining reinforcement has been also taken into account to model the confined high-strength concrete. The proposed numerical method for the inelastic behavior of reinforced high-strength concrete bridge columns is verified by comparison with reliable experimental results.