This study aims to quantitatively evaluate the life cycle carbon emissions of continuously reinforced concrete pavements on Korean expressways. The analysis focuses on assessing the effect of the changes in pavement design life and maintenance frequency on total carbon emissions to provide a basis for effective carbon reduction strategies. In accordance with ISO 14040 and ISO 14044, carbon emissions were calculated using actual design documents, including bills of quantities and unit price lists. National emission factors were applied to each life cycle stage, including the maintenance stage that was modeled based on the standard maintenance scenarios of the Korea Expressway Corporation. The study also conducted a scenario-based evaluation to examine the impact of extending the pavement design life from 20 to 30 years on maintenance-related emissions. The usage stage accounted for the largest share of total emissions, followed by the material production and maintenance stages. Notably, repeated asphalt overlay maintenance contributed significantly to emissions. Extending the design life reduced the number of high-emission maintenance activities, leading to a significant reduction in the total life cycle emissions. Extending the pavement design life and optimizing maintenance cycles were effective strategies for reducing the life cycle carbon emissions in road infrastructure. Furthermore, applying eco-design principles—such as incorporating recycled aggregates or low-carbon cement during the design stage—could further enhance sustainability. Future research should include various case studies and support the development of standardized national life cycle inventory databases for road infrastructure systems.

본 연구는 동결융해 및 철근 부식으로 복합열화된 철근콘크리트 보를 탄소섬유 복합재료로 보강한 경우의 휨 거동을 평가하 기 위해 층상화 단면해석 모델을 제안하고 그 유효성을 실험적으로 검증하였다. 해석 모델은 열화에 따른 재료물성 저하와 CFRP 보강 효과를 통합적으로 고려하여 휨 거동을 예측하도록 구성되었다. 제안된 모델의 해석 결과, 열화 및 CFRP 보강 RC 보의 항복휨모멘트 와 최대휨모멘트 예측값은 실험값과 평균 1.01∼1.16의 비율을 보여 휨 성능을 매우 높은 신뢰도로 예측함을 확인하였다. 그러나 휨모 멘트-변위 관계에서는 일부 상이한 경향이 관찰되었다. 항복 이전 구간에서는 해석 모델의 휨 강성이 실험 결과보다 높게 평가되었는 데, 이는 해석 모델이 콘크리트의 초기 미세균열과 같은 비선형적 거동을 완벽히 반영하지 못하기 때문으로 분석된다. 반면, CFRP로 보강된 보의 항복 이후 구간에서는 해석 모델의 강성이 실험값보다 낮게 나타났다. 이는 현행 RC 이론 기반의 변위 산정 방식이 CFRP 보강재의 높은 탄성계수 효과를 충분히 반영하지 못하여 최대강도 도달 시의 변위를 과대평가하기 때문으로 판단된다.

콘크리트 구조물의 내ㆍ외부 보강재로 사용되는 CFRP(Carbon Fiber Reinforced Plastic) 그리드의 철근 대체 가능성을 확인하기 위해, 철도용 콘크리트 침목 내부에 CFRP 그리드를 보강한 후 유한요소 해석 프로그램인 ABAQUS를 활용하여 성능을 평가 하였다. 본 연구에서는 PC 강연선 대신 CFRP 그리드를 보강하고 하중을 재하한 결과, 피복두께 40 mm에서 최대 휨-인장 응력이 2.494 MPa로 도출되었으며 이는 KR CODE 2012의 허용응력 기준을 충족하는 값으로 나타났다. 추가적으로, 본 연구에서는 설계기준에 따라 하중 조건과 응력분포를 고려하여 중립축 위치와 CFRP 그리드의 배치를 최적화한 침목 단면설계를 진행하였다. ABAQUS 해석을 통해 침목의 휨 강도와 내구성을 평가한 결과, CFRP 그리드를 적용한 침목은 기존 PC 강연 선 보강 침목 대비 유사한 수준의 구조적 성능을 확보하면서도 경량화 측면에서 우수함을 확인하였다. 이를 통해 CFRP 그리드가 철근 을 대체하여 철도용 콘크리트 침목 설계에 적합한 보강재로 활용될 수 있음을 확인하였다.

본 논문은 형상기억합금으로 능동 구속된 콘크리트의 일축 압축거동을 예측하기 위한 해석적 연구이다. 일축 압축거동을 예측하기 위해 SMA로 능동 구속된 콘크리트에 대한 적합조건을 기반으로 유효 구속응력이 도출되었으며, 기존 모델에 기반한 응력-변 형률 모델을 이용하여 SMA로 능동 구속된 콘크리트의 일축 압축거동 예측 방법이 제안되었다. 제안된 모델에 대한 검증을 위해 선행 연구에 대한 실험데이터가 수집되었다. 제안 모델을 통한 예측 결과는 콘크리트의 최대 압축강도 및 최대 압축강도에 해당하는 변형률 에 대한 비를 각각 1.00 및 0.89로 예측하였으며, 콘크리트의 응력-변형률 곡선을 비교적 정확히 예측하는 것으로 나타났다.

건설 자재와 건설 폐기물의 환경적 영향에 대한 사회적 관심이 높아지고 있다. 고강도 콘크리트의 필요성이 점차 커짐에 따라, 본 연구에서는 서로 연관된 환경 문제에 대한 두 가지 잠재적 해결책을 검토하였다. 첫째는 재활용 콘크리트 골재의 사용량 증가 가능성이고, 둘째는 고로 슬래그를 시멘트로 활용(재활용)할 가능성이다. 일반적으로 재활용 골재를 사용하면 고강도 콘크리트의 강도 가 저하되는 것으로 알려져 왔다. 따라서, 본 연구에서는 재활용 골재 콘크리트의 배합비와 함량 변화를 분석하여 고층 건축에 재활용 골재가 실용적인지, 그리고 어떤 방식으로 활용되는지를 규명하고자 하였다.

This study investigated the vertical displacement behavior caused by differential drying shrinkage in jointed concrete pavements. This study proposed a method to convert this behavior into an equivalent linear temperature difference for structural analysis. Controlled experiments were conducted under varying humidity and airflow conditions to simulate pavement environments. The test results showed that a lower relative humidity and added airflow significantly increased the vertical displacement, particularly at the slab edges. A 3D finite element model using ABAQUS was developed to analyze the behavior and derive the equivalent linear temperature difference that increased with curing age and varied notably with environmental conditions. These findings highlighted the impact of early-age environmental factors on the shrinkage behavior and suggested that the proposed method offered a practical approach for predicting deformation without repeated physical testing.

원자력발전소에 설치되는 안전관련 기기는 높은 수준의 내진성능을 확보하여야 한다. 본 연구에서는 대표적인 안전관련 기기 인 전기 캐비닛을 대상으로, 열반(multi-bay) 구성 및 콘크리트 기초 열화와 같은 실제 설치 조건을 고려하여 내진성능을 평가하였다. 실제 현장에서는 전기 캐비닛이 열반 형태로 설치되는 경우가 많으며, 지지부 열화의 대표적 형태로 앵커 위치에서의 콘크리트 균열이 자주 발견된다. 이러한 조건을 반영하기 위하여, 앵커 위치에 균열 폭 0.5 mm 및 1.0 mm를 모사한 균열 기초와 건전한 기초를 대상 으로 실험체를 제작하였다. 실험체는 단순화한 전기 캐비닛 모델로서 단독(single-bay) 및 2기 열반(two-bay) 구성을 적용하였으며, 선설치 앵커로 고정 후 진동대를 이용한 한계상태 내진성능 실험을 수행하였다. 실험 결과, 균열이 없는 조건에서는 2기 열반 구성이 단독 구성보다 높은 내진성능을 보였다. 그러나 균열 조건에서는 2기 열반 구성에서 내진성능이 저하되는 경향이 나타난 반면, 단독 구성은 유의미한 성능 저하가 관찰되지 않았다.

Wet pavement friction decreases with an increase in water film thickness (WFT), leading to a significant increase in vehicle crashes. The British pendulum test described in ASTM E303-93 is a method used to measure the pavement friction under wet conditions for the input of geometric design and pavement management systems. The British pendulum number (BPN) under wet conditions varies with WFT. Following the ASTM E303-93 standard procedure, WFT was simulated by spraying water onto the pavement surface. However, the measurement of the BPN did not include specific information regarding the WFT present during testing. To address these issues, WFTs and BPNs are measured using artificial rainfall generated by a rainfall simulator across various intensities, drainage lengths, pavement slopes, and pavement surfaces. This study aims to investigate the influence of the WFT on the BPN for wet pavement friction and provide the WFT corresponding to each BPN measurement for different surface types. The BPNs and WFTs of three test slabs, including diamond grooving and tining surfaces with 16 mm and 25 mm spacing, were measured under wet conditions by spraying water and creating WFTs using a rainfall simulator. Measurements were taken in both longitudinal and transverse directions, considering different rainfall intensities (40 mm/h, 80 mm/h, and 130 mm/h), pavement slopes (2%, 5%, and 10%), and drainage path lengths (1 m, 2 m, 3 m, 4 m, and 5 m). The test results indicated that wet pavement friction decreased as the WFT increased that was influenced by several factors including the pavement slope, mean texture depth, rainfall intensity, and drainage path length. Specifically, the WFT tended to increase with a decrease in the pavement slope and an increase in the mean texture depth, rainfall intensity, and drainage path length. In particular, surface texture played a significant role in the wet friction performance, with diamond-grooved pavements. Among the tested surfaces, the diamond-grooved (longitudinal and transverse) pavements demonstrated a more effective wet friction performance, maintaining higher BPN values across varying WFT levels. Conversely, longitudinally and transversely tined surfaces with 25 mm spacing showed a more significant decrease in BPN, reflecting a higher sensitivity to WFT. In contrast, tined surfaces with 16-mm spacing exhibited a more gradual reduction in friction, likely owing to enhanced drainage and better resistance to water-induced friction loss. Additionally, these results indicated that longitudinal textures demonstrated a more significant reduction in friction with increasing WFT compared with transverse textures. This demonstrated that the texture type, direction, and spacing significantly influenced the friction loss under wet conditions, with diamond grooving offering the best overall performance. This study highlighted the critical role of WFT in pavement friction design, emphasizing the need to consider the WFT for a more accurate assessment of wet pavement friction. The WFT was influenced by factors such as the pavement slope, rainfall intensity, drainage path length, and surface texture. The diamond-grooved pavements demonstrated a more effective wet friction performance, maintaining higher BPN values across varying WFT levels. In contrast, tined surfaces with larger spacings exhibited more significant friction loss, whereas those with smaller spacings showed a more gradual reduction, likely owing to better drainage. In particular, longitudinal textures showed a greater reduction in friction compared with transverse textures. Overall, the texture type, direction, and spacing played crucial roles in wet friction performance, with diamond grooving offering the best results.

Since the first introduction of plastics, the issue of recycling has been repeatedly discussed. Plastics with limited biodegradability accumulate in the soil and ocean when deposited in landfills, causing environmental problems, and when incinerated emit a large amount of carbon. In particular, polyethylene terephthalate (PET) is now an indispensable material in daily life, and the waste it generates is also significant. In response, we sought a way to use PET waste as a concrete additive. Typically, adding PET damages the physical strength of concrete, and to solve this problem, gamma ray irradiation was first applied to the PET. The overall peak intensity of the fourier transform infrared spectroscopy (FT-IR) absorption spectrum of gamma-ray-irradiated PET increased, and the surface hydrophilicity of the material increased. In addition, it was confirmed that surface roughness increased when PET was irradiated with gamma rays. The strength of concrete mixed with gamma-irradiated PET was measured, and the compressive strength increased compared to concrete mixed with non-gamma-irradiated PET, and in the case of fibrous PET, the flexural strength increased.

Due to the limited experimental data on the seismic performance of concrete-encased steel columns, standardized guidelines for nonlinear modeling parameters and acceptance criteria have not yet been developed. This study utilized analytical and numerical methods to predict the nonlinear behavior of concrete-encased steel columns with H-shaped steel sections. The findings of this study have direct and practical implications for the design and evaluation of concrete-encased steel columns. For instance, for concrete-encased steel columns constructed with normal-strength concrete and subjected to low-to-moderate axial load ratios, the yield rotation angle can be determined through fiber-based section analysis and analytical equations, and the nonlinear modeling parameter can be evaluated based on section analysis and the proposed empirical equation. For concrete-encased steel columns with high-strength concrete or high axial load ratios, inconsistencies between section analyses and experimental results are observed. Accordingly, the nonlinear modeling parameter a can be evaluated using the proposed empirical equation. The empirical equation was conservatively developed based on the modeling parameter criteria for reinforced concrete columns in ASCE 41-13.

본 논문에서는 OpenSees 프로그램을 사용하여 축력과 폭발하중을 받는 철근콘크리트 기둥의 SDOF 해석 절차를 제시하였다. 해석 의 정확도를 검증하기 위해 저항함수 검증과 축력 및 폭발하중을 받는 철근콘크리트 기둥의 동적 거동을 비교하였다. 192개 단면에 대해 재료 강도, 철근비, 단면비, 축하중비를 주요 매개변수로 사용하여 매개변수 해석을 수행하였다. 축력을 고려하지 않을 경우 최 대 변위에 있어서 최대 50%의 오차가 발생하였다. 연성비 3을 기준으로 축하중비 30% 미만에서는 연성 거동을, 30% 이상에서는 취 성 거동을 보였다. 본 연구는 축력과 폭발하중을 받는 철근콘크리트 부재의 SDOF 해석 절차를 개발하고, 축하중비에 따른 내폭 설계 기준을 제시함으로써 내폭 설계에 널리 활용될 수 있다.

원전에서 발생 가능한 중대사고 중 하나인 용융 노심-콘크리트 상호작용(Molten Core Concrete Interaction, MCCI)은 노심의 용융물이 격납용기 하부의 콘크리트를 침투하면서 콘크리트의 물리적 및 화학적 분해를 유도하고, 이로 인해 구조적 손상이 발생하게 된다. 더불어, 분해 과정에서 발생하는 비응축성 가스와 수증기로 인해 내부압력이 급격히 상승할 수 있다. 본 연구는 MCCI 가 발생하는 상황에서 원전 프리스트레스트 콘크리트 격납용기(Prestressed Concrete Containment Vessel, PCCV)의 내부압력 저 항능력을 평가하는 것을 목적으로 한다. 이를 위해 APR1400을 대상으로 MELCOR 코드 기반의 사고 시나리오를 통해 압력 및 온도 상승을 모사하였으며, 검증된 유한요소 해석모델을 이용해 구조응답을 분석하였다. 내부압력 저항능력은 글로벌 후프 변형률(global hoop strain)과 등가소성변형률(equivalent plastic strain) 두 가지 한계상태 기준에 따라 비교 분석하였다.

Blow-up in jointed concrete pavements refers to a type of distress caused by the excessive accumulation of compressive stress within concrete slabs, primarily resulting from internal expansion and elevated environmental temperatures. This phenomenon frequently leads to slab buckling and is challenging to predict in terms of both timing and location, thereby significantly threatening the long-term structural stability of the pavement. In the present study, the pavement growth and blow-up analysis (PGBA) model was employed to quantitatively predict the timing of blow-up events in jointed concrete pavements. The model estimates the maximum compressive stress within the slab throughout the pavement’s service life using input parameters such as reliability, climatic conditions, pavement structure, material properties, and expansion joint configurations. Subsequently, the model compares the estimated stress to the threshold stress associated with blow-up to determine the likely time of occurrence. A sensitivity analysis was performed on a range of design and environmental factors, including annual maximum temperature, annual maximum precipitation, coefficient of thermal expansion, ASR, pavement thickness, geometric imperfection, and expansion joint spacing and width. The influence of each factor on the predicted blow-up occurrence time was quantitatively evaluated. The analysis demonstrated that climatic conditions, pavement structure, material properties, and expansion joint characteristics, as considered in the PGBA model, collectively govern the timing of blow-up events. These findings offer critical insights for informing the design and maintenance strategies of jointed concrete pavements.

This research aimed to find an eco-friendly way to neutralize water recovered from ready-mixed concrete by dissolving carbon dioxide in it, and to verify the potential use of such water for mixing concrete. Carbon dioxide was injected using nanobubble technology into recovered water, and the optimized conditions for dissolution were established by analyzing the carbon dioxide concentration in the water and measuring pH over time. Mortar was manufactured using this recovered water following carbon dioxide nanobubbles treatment, and measurements of compressive strength and thermogravimetric analysis (TGA) were conducted to verify the formation of calcium carbonate. 2,464 mg/L of carbon dioxide was dissolved in the recovered water, and the pH was measured to be 6.34. The compressive strength of the manufactured mortar was found to be 32.02 % stronger than mortar manufactured with normal tap water. According to the thermogravimetric analysis results, the amount of calcium hydroxide produced in the mortar manufactured with recovered water from ready-mixed concrete was 8.10 %, and the production amount of calcium carbonate was 6.49 %. This means that the amount of calcium carbonate produced was greater than that in mortar manufactured with normal tap water, as well as tap water containing nanobubble carbon dioxide. The carbon dioxide was stably dissolved in water recovered from ready-mixed concrete using nanobubbles, enabling environmentally friendly neutralization without the use of chemicals. Also, when the recovered water from ready-mixed concrete containing dissolved carbon dioxide was used for mixing concrete, it was determined that the carbonation reaction influenced the formation of calcium carbonate, which contributed to the improvement in concrete strength.

This study proposes an improved method for updating finite element models (FEM) by incorporating the random field characteristics of concrete material properties in reinforced concrete structures. Traditional FEM often assumes homogeneous material properties, which can lead to significant discrepancies between predicted and actual dynamic responses, especially in structures where the Young’s modulus (E) of concrete varies due to factors like curing conditions, material composition, and construction methods. We employed a Gaussian random field model and a system identification (SI) technique to address this limitation to optimize sensor placement. We developed an FEM updating method that incorporates the spatial variability of concrete elasticity. This optimization allowed for a more accurate capture of dynamic properties across various structural locations, resulting in FEM updates that reflect concrete’s inherent heterogeneity. The proposed method was validated through numerical examples, comparing dynamic response accuracy in models before and after updating. Results demonstrated that error values, measured in terms of maximum value error and normalized root mean squared Error (NRMSE), were significantly reduced in the updated models compared to the pre-update model. This approach effectively addresses the limitations of homogeneous assumptions in FEM.

Existing reinforced concrete buildings with seismically deficient columns experience reduced structural capacity and lateral resistance due to increased axial loads from green remodeling or vertical extensions aimed at reducing CO2 emissions. Traditional performance assessment methods face limitations due to their complexity. This study aims to develop a machine learning-based model for rapidly assessing seismic performance in reinforced concrete buildings using simplified structural details and seismic data. For this purpose, simple structural details, gravity loads, failure modes, and construction years were utilized as input variables for a specific reinforced concrete moment frame building. These inputs were applied to a computational model, and through nonlinear time history analysis under seismic load data with a 2% probability of exceedance in 50 years, the seismic performance evaluation results based on dynamic responses were used as output data. Using the input-output dataset constructed through this process, performance measurements for classifiers developed using various machine learning methodologies were compared, and the best-fit model (Ensemble) was proposed to predict seismic performance.

Over the past decade, a global emphasis has been placed on reducing carbon emissions, with the construction industry given particular attention in this regard. In reinforced concrete structures, one proposed method to reduce carbon emissions during manufacturing is to replace steel bars with fiber reinforced polymer (FRP) reinforcing bars. Accordingly, this study conducts flexural tests on concrete FRP (CFRP)-reinforced prefabricated slabs to investigate the joints between these slabs. The experimental variables include the types of connecting reinforcing bars used at the joints of two prefabricated slabs. The experimental results revealed the following: 1) the moment capacity of the slabs did not reach the nominal moment due to the insufficient length of the CFRP reinforcing bars, and 2) steel bars were found to be more suitable than CFRP reinforcing bars for connecting prefabricated slabs, as they promote ductile failure.

본 연구에서는 EBR 및 EBROG 기법으로 부착된 CFRP판과 콘크리트 모체 간 부착성능을 평가하였다. 실험 변수로는 콘크리 트 압축강도, 홈의 개수 및 깊이를 고려하였으며, 총 21개의 시편을 대상으로 단일 랩 전단 실험을 수행하였다. 실험 결과, EBROG 기법을 적용한 시편은 EBR 기법을 적용한 시편보다 최대 62% 높은 부착 강도를 보였다. 또한, 홈의 개수와 깊이가 증가할수록 부착강 도도 증가했으나, 홈이 3개일 때 가장 높은 증가율을 기록하였다. 한편, 콘크리트 압축강도가 증가할수록 부착강도도 상승했지만, 압축 강도가 가장 높은 시편에서는 오히려 부착강도 증가율이 가장 낮았다. 아울러, EBROG 기법으로 부착된 CFRP 판의 유효 변형률을 예측하는 모델을 개발하기 위해 실험 데이터를 기반으로 회귀 분석을 수행하였다. 제안된 모델의 예측값과 실험값의 비의 평균과 표준 편차는 각각 1.002 및 0.032로 나타나, 해당 모델이 유효 변형률을 정확하게 예측할 수 있음을 확인하였다.