콘크리트의 변온저항성을 향상시키기 위해 상변화온도 4.5도와 44도의 상변환재료(Phase change material; PCM)를 캡슐화하여 혼입하였다. 그 후에 콘크리트가 기본적인 구조성능을 발휘할 수 있는 지 확인하기 위해 시멘트 부피의 10%, 20%, 30%에 해당하는 PCM을 혼입한 콘크리트의 온도 및 재 령에 따른 압축강도를 측정 및 비교하였다. PCM을 혼입하지 않은 콘크리트의 경우 PCM이 혼입된 다른 배합에 비해 온도에 따른 강도의 편차가 크지 않게 나타났으며 온도에 따른 강도의 편차는 PCM의 혼입률이 증가함에 따라 함께 증가하는 경향을 나타냈다. 4.5도의 PCM이 혼입된 시편은 0도 에서 25도로 온도가 증가 할 때 가장 높은 강도 감소률을 나타냈으며 45도 PCM은 25도에서 50도로 온도가 증가할 때 가장 높은 강도 하락률을 나타냈다. 0도에서는 대부분의 경우에서 4.5도 PCM 혼입 시편이 44도 PCM 혼입 시편보다 약간 높은 강도를 나타냈지만 25도에서는 44도 PCM 혼입 시편이 더 높은 강도를 나타냈으며 50도에서는 두 종류의 PCM 간의 유의미한 강도차이를 확인하기 어려웠 다. 시멘트 부피대비 10%정도의 PCM 혼입은 콘크리트의 압축강도 하락에 큰 영향을 주지 않으며 오 히려 높아지는 경향을 나타냈으며 그 원인은 잔골재 사용감소에 의한 상대적 시멘트-골재 비의 상승 에 의한 것으로 추정된다. 하지만 10%를 초과하는 혼입률은 시멘트-골재비 상승에 의한 강도 상승 효과보다 콘크리트 내부에서 하중에 저항하는 성능을 거의 낼 수 없는 PCM의 영향이 더욱 커지므로 강도가 감소하는 것으로 판단된다. PCM이 혼입된 콘크리트는 PCM의 상변화 온도에 따라 서로 다른 강도경향을 나타내는 것으로 확인되는데 4.5도 PCM 혼입 콘크리트의 경우 0도와 25도사이에서 상변 화 하므로 해당 구간에서 가장 큰 강도저하를 발생시킨 반면 44도 PCM 혼입 콘크리트의 경우 25도 와 50도사이에서 상변화하므로 해당 구간에서 가장 큰 강도저하가 발생하는 것으로 판단된다.

강재를 대처할 수 있는 다양한 복합재료 중 CFRP (Carbon Fiber Reinforced Polymer)를 사용하여 인장 물성 실험을 실시한다. KS F ISO 10406 (콘크리트용 섬유강화 폴리며(FRP 보강재 - 시험방법) 에서 FRP의 측정길이는 지름 (D)의 40 배를 기준으로 제시되어진다. 그러나 25 mm 이상의 시험체는 양단 보강부를 포함하게 된다면 대략 2 m 이상으로 제작되어지게 되고 시험이 상당히 번거롭게 됨으 로써 시험법 개선을 위해서 측정 길이별로 설정하여 성능평가 후 비교분석 한다.

최근 나노 버블 수의 건설 산업에 적용한 효과에 대하여 검증하고자 나노 버블 수를 혼입한 모르타르의 물리적 특성에 관한 연구를 진행하였으며 산소 및 이산화탄소 기체를 이용하여 나노 버블 수를 사용하였다. 모르타르의 물리적 성능을 비교하기 위하여 응결 시험과 압축강도 시험을 진행하였으며 응결 시간 내 열중량 분석을 통하여 응결 시험의 원인을 분석하고자 하였다. 본 연구 결과로써 산소 나노 버블 수를 사용하였을 경우 모르타르의 미세 응결촉진을 가져왔으며 이산화탄소 나노 버블 수를 사용한 경우 응결시간의 지연이 유의미하게 나타났다. 또한 실험한 기체의 종류에 관계 없이 강도가 증가 하였으며 응결 지연 여부와 관계없이 조기강도가 증가함을 확인하였다. 추가적인 공극구조 및 수화물 구조 분석에 관한 연구가 필요하지만 나노 버블 수가 건설 산업에 긍정적인 영향을 미칠 것으로 판단된다.

택코트란 아스팔트 포장 공사 시 기존 아스팔트층과 신설 아스팔트 층 사이에 부착성을 증가시키기 위하여 사용되는 재료이다. 교통 하중으로 인해 포장 경계면에서 수평전단응력 및 수직인장응력이 발생하게 되는데 택코트의 유실, 양생 부족 등의 문제로 접착 성능 이 부족하면 포장층의 분리, 밀림과 같은 도로 파괴가 형상이 나타날 수 있다. 현재 국내에서는 국토교통부 아스팔트 콘크리트 포장 시공 지침에 택코트 살포량에 대한 기준은 존재하지만 기존 및 신설 아스팔트 포장층 사이에 택코트의 접착강도에 대한 기준은 존재 하지 않는 실정이다, 이는 접착강도 특성이 분석되지 않은 택코트를 사용함에 따라 아스팔트 포장의 공용성 측면에서 문제를 초래할 수 있다. 따라서 본 연구에서는 PG등급이 다른 택코트 4종류에 대한 인장 및 전단접착강도를 확인하기 위하여 인장접착강도 시험, 전 단접착강도 시험을 진행하였다. 택코트의 양생정도에 따른 접착강도 특성을 확인해보기 위하여 택코트의 수분이 증발됨에 따라 중량 변화가 없는 상태를 양생 100%로 하여 양생 0%, 50%, 100%로 진행하였으며, 살포량은 국토교통부 아스팔트 콘크리트 시공 지침에 따 라 0.5ℓ/m2로 진행하였다. 사용된 택코트 종류에 관계 없이 양생 정도가 증가함에 따라 접착강도는 증가하는 추세를 보였으며, 인장 및 전단접착강도 시험에 관계없이 초기 양생(양생 0%~50%)보다 양생 50% 이후에서의 더 높게 강도가 발현된 것을 확인하였다. 또한 PG등급이 높은 택코트가 인장 및 전단접착강도에 관계없이 접착강도 성능이 우수한 것을 확인할 수 있었다. 추후 택코트의 종류를 추 가하여 PG등급이 분류가 이루어진 후에 접착강도 시험을 진행하여 결과를 확인할 예정이다.

The strength criteria is the acceptable strength for allowable a vehicle start on a concrete pavement at an early age without causing significant damage. The different agencies have provided the strength criteria based on empirical judgement. To make more comprehensive, the ACI specification provided strength criteria by consideration traffic conditions, slab thicknesses, and slab support based on the concept of damage. However, its neglected to consider the damage caused by curling stress due to temperature gradient in concrete pavement. This research aims to provide a strength criteria for opening traffic on concrete pavements while taking into account the damage caused by curling stress and traffic loading. The tensile stress at critical locations was determine due to curling and traffic loads every hour of early age throughout different seasons. The fatigue damage taken throughout early age was assessed. After this procedure, the strength criteria was established as the evaluated damage that did not exceed an acceptable limit. Accordingly, the strength criteria for opening traffic was determined to ensure that the specified damage level existed subject to the construction season, construction period, traffic type, slab thickness, and slab support of concrete pavement.

해상풍력발전 시장의 성장과 함께 해상풍력발전기 설치 선 시장에 대한 기대감이 커지고 있다. 해상풍력발전 시장 내 2030년까 지 약 100척의 설치 선이 필요할 것으로 전망되고 있다. 척당 가격이 3,000∼4,000억 원이라서 일반 운반선보다 고부가가치 시장이다. 특 히, 풍력발전기 용량이 11MW 이상의 대형 설치 선의 수요가 커지고 있다. 중국을 중심으로 아시아 해상풍력발전기 시장의 급성장으로 이 지역에서 운용 가능한 설치 선에 대한 발주에 대한 협의가 많다. 아시아권역 대부분의 해저 지질은 지지 반력이 작은 점토층으로 구성되 어 있다. 이러한 특성에 의해서 설치 선이 작업을 위해 수면 밖으로 오르고 내림 시 스퍼드캔(Spudcan)과 레그(Leg)의 관입 깊이가 크게 발 생한다. 연구에서는 최소 3m에서 최대 21m까지 관입 변수를 이용하여 관입 깊이에 따른 고유 진동 주기, 레그의 구조 안전성 평가 그리고 전복 안전성 지수를 평가하였다. 관입 깊이가 증가하면 고유 진동 주기가 짧아지고, 레그의 모멘트 길이가 짧아져서 구조 강도의 여유 치 가 증가한다. 모든 입사각에서 전복 모멘트에 대해 안전하며, 최댓값은 270도에서 발생한다. 본 연구를 통하여 검토된 조건들은 연약 지반 에서 설치 선의 운용 절차서를 작성 시 관입 깊이에 따라서 레그를 어떻게 운용해야 하는지 판단할 수 있는 중요한 자료로 활용할 수 있 다. 결론적으로 관입 깊이에 따른 레그 구조 안전성을 정확히 파악하는 것은 설치 선의 안전과 직결된 문제이다.

PURPOSES : To enhance the accuracy of predicting the compressive strength of practical concrete mixtures, this study aimed to develop a machine learning model by utilizing the most commonly employed curing age, specifically, the 28-day curing period. The training dataset consisted of concrete mixture sample data at this curing age, along with samples subjected to a total load not exceeding 2,350 kg. The objective was to train a machine learning model to create a more practical predictive model suitable for real-world applications. METHODS : Three machine learning models—random forest, gradient boosting, and AdaBoost—were selected. Subsequently, the prepared dataset was used to train the selected models. Model 1 was trained using concrete sample data from the 28th curing day, followed by a comprehensive analysis of the results. For Model 2, training was conducted using data from the 28th day of curing, focusing specifically on instances where the total load was 2,350 kg or less. The results were systematically analyzed to determine the most suitable machine learning model for predicting the compressive strength of concrete. RESULTS : The machine learning model trained on concrete sample data from the 28th day of curing with a total weight of 2,350 kg or less exhibited higher accuracy than the model trained on weight-unrestricted data from the 28th day of curing. The models were evaluated in terms of accuracy, with the gradient boosting, AdaBoost, and random forest models demonstrating high accuracy, in that order. CONCLUSIONS : Machine learning models trained using concrete mix data based on practical and real-world scenarios demonstrated a higher accuracy than models trained on impractical concrete mix data. This case illustrates the significance of not only the quantity but also the quality of the data during the machine learning training process. Excluding outliers from the data appears to result in better accuracy for machine learning models. This underscores the importance of using high-quality and practical mixed concrete data for reliable and accurate model training.

Friction stir spot welding (FSSW) is a solid-state joining process and a rapidly growing dissimilar material welding technology for joining metallic alloys in the automotive industry. Welding tool shape and process conditions must be appropriately controlled to obtain high bonding characteristics. In this study, FSSW is performed on dissimilar materials AA5052-H32 aluminum alloy sheet and SPRC440 steel sheet, and the influence of the shape of joining tool and tool insertion depth during joining is investigated. A new intermetallic compound is produced at the aluminum and steel sheets joint. When the insertion depth of the tool is insufficient, the intermetallic compound between the two sheets did not form uniformly. As the insertion depth increased, the intermetallic compound layer become uniform and continuous. The joint specimen shows higher values of tensile shear load as the diameter and insertion depth of the tool increase. This shows that the uniform formation of the intermetallic compound strengthens the bonding force between the joining specimens and increases the tensile shear load.

The aerospace and power generation industries have an increasing demand for high-temperature, highstrength materials. However, conventional materials typically lack sufficient fracture toughness and oxidation resistance at high temperatures. This study aims to enhance the high-temperature properties of Nb-Si-Ti alloys through ball milling. To analyze the effects of milling time, the progression of alloying is evaluated on the basis of XRD patterns and the microstructure of alloy powders. Spark plasma sintering (SPS) is employed to produce compacts, with thermodynamic modeling assisting in predicting phase fractions and sintering temperature ranges. The changes in the microstructure and variation in the mechanical properties due to the adjustment of the sintering temperature provide insights into the influence of Nb solid solution, Nb5Si3, and crystallite size within the compacts. By investigating the changes in the mechanical properties through strengthening mechanisms, such as precipitation strengthening, solid solution strengthening, and crystallite refinement, this study aims to verify the applicability of Nb-Si-Ti alloys in advanced material systems.

PURPOSES : In this study, an optimal model for compressive strength prediction was derived by learning and directly comparing several machine learning models based on the same data. METHODS : Approximately 478 pieces of concrete compressive strength data were obtained to compare the performance of the machine learning models. In addition, five machine learning models were trained based on the obtained data. The performance of the learned model was compared using three performance indicators. Finally, the performance of the model trained using additional data was reviewed. RESULTS : As a result of comparing the performance of machine learning models, the XGB(eXtra Gradient Boost) model showed the best performance. In addition, as a result of the verification based on additional data, highly reliable results can be obtained if the XGB model is used to predict the compressive strength of concrete. CONCLUSIONS : If a concrete strength prediction model is derived based on a machine learning model, a highly reliable model can be derived.

본 논문에서는 좌굴에 취약한 철도판형교의 전체좌굴 거동특성을 검토하였다. 우선 철도판형교의 전체좌굴에 영향을 미치는 영향인자를 파악하고 좌굴을 유발하는 모멘트를 전체좌굴에 대한 무차원좌굴계수 를 적용하여 이론적으로 산정하였 다. 다음으로는 개단면인 철도판형교의 하부를 브레이싱으로 보강한 단면을 보강단면과 등가인 두께를 가지는 얇은 판으로 치환하여 유사폐합단면을 형성하고 보강 형상별로 국부적인 항복 발생 여부를 검토한 후, 전체좌굴을 유발하는 모멘트를 산정 하고 효율적인 보강상세를 결정하였다. 유한요소 해석을 이용하여 표준열차하중이 재하되었을 때 보강모델별로 철도판형교에 발생하는 횡방향 변위를 비교하여 장대레일의 좌굴에 저항하기 위한 최적의 보강상세를 제안하였다.

세계적으로 환경에 대한 관심이 커지면서, 탄소 저감 및 탄소 중립을 위한 다양한 연구들이 진행되고 있다. 특히 최 근에는 탄소 포집 및 저장 기술인 CCS(Carbon Capture and Storage)에 주목이 높아졌다. 그뿐만 아니라, 대기 중의 탄소를 효과 적으로 저장하는 특성을 가진 바이오차는 탄소 중립에 기여할 수 있는 방안으로 다양한 연구가 진행되고 있다. 건설 산업에서 는 시멘트 대체재를 활용한 탄소 감소 관련 연구가 진행 중이며, 본 연구에서는 바이오차를 콘크리트 및 모르타르의 시멘트 대 체재로 활용하여 시멘트 사용량을 줄이고, 동시에 콘크리트 및 모르타르 내의 탄소를 포집하고 저장하여 탄소 배출량을 감소시 키고자 한다. 이를 위해 바이오차의 시멘트 치환율을 0%, 10%, 20%로 설정하고, 각각의 경우에 대해 콘크리트 및 모르타르의 슬럼프, pH 농도, 그리고 압축강도를 비교하였다.실험 결과에 따르면, 바이오차의 시멘트 치환율이 증가함에 따라 슬럼프와 압 축강도가 감소하는 경향을 보였으며, pH는 유사한 양상을 나타냈다.

The ductility of the system based on the capacity of each structural member constituting the seismic force-resisting system is a significant factor determining the structure’s seismic performance. This study aims to provide a procedure to supplement the current seismic design criteria to secure the system’s ductility and improve the seismic performance of the steel ordinary moment frames. For the study, a nonlinear analysis was performed on the 9- and 15-story model buildings, and the formation of collapse mechanisms and damage distribution for dynamic loads were analyzed. As a result of analyzing the nonlinear response and damage distribution of the steel ordinary moment frame, local collapse due to the concentration of structural damage was observed in the case where the influence of the higher mode was dominant. In this study, a procedure to improve the seismic performance and avoid inferior dynamic response was proposed by limiting the strength ratio of the column. The proposed procedure effectively improved the seismic performance of steel ordinary moment frames by reducing the probability of local collapse.

Background: Hemiparesis not only affects the affected side but also exerts an impact on the unaffected side. Stroke patients endure muscular weakness attributable to hemiparesis, resulting in asymmetry of muscular strength between the paralyzed and non-paralyzed sides. Objectives: To investigate the correlation between lower limb muscle strength asymmetry and functional factors in patients with stroke. Design: A cross-sectional study. Methods: A total of 58 stroke patients participated in this study. After measuring the muscle strength of both lower limbs using manual muscle testing, the asymmetry was calculated. Functional factors such as berg balance scale (BBS), timed up and go (TUG), 10-metre walk (10MW), and modified barthel index (MBI) were measured. Results: The BBS showed positive correlations with hip, knee, and ankle strength asymmetry (P<.05). The TUG showed negative correlations with hip, knee, and ankle strength asymmetry (P<.05). The 10MW showed negative correlations with hip, knee, and ankle strength asymmetry (P<.05). The MBI showed positive correlations only with hip strength asymmetry (P<.05). Conclusion: We were found that there is a more pronounced lower limb muscle strength asymmetry in the lower extremity of stroke patients, which is associated with BBS, TUG, and 10MW.

PURPOSES : The purpose of this study is to investigate the tendency of material property estimation under different concrete distress conditions and curling conditions when non-destructive tests such as rebound hammer and surface deflection test are applied to concrete pavement. METHODS : Nondestructive tests using Schmidt hammer and Falling Weight Deflectometer were performed to inspect the expressway concrete pavements constructed more than 20 years ago. Some results were compared with core tested elastic modulus and compressive strength. RESULTS : As a result of the rebound test, the section with Alkali-Silica Reaction(ASR) distress was outside the range of the existing estimation formula, but the control section was found to be within the range of the existing estimation formula. As a result of the physical property estimation through deflection test, the section with ASR distress showed greater fluctuations in the estimated material properties and deflection ratio compared to the control section, showing that the ASR damage seems to affect the slab deflection behavior. CONCLUSIONS : The rebound test may not sufficiently reflect the decline in material properties due to concrete damage. The deflection test can obtain results that reflect the deterioration of material properties, but it was confirmed that significant variability may occur, so it seems to necessary to perform complementary indoor core tests with nondestructive testing(NDT) tests.

Reticulated foams have a continuous skeleton network consisting of aluminosilicates and are used for capturing gaseous cesium released from spent nuclear fuel at high temperature. It has high stability to high temperature and good capturing performance. Homogeneous cell distribution and modified surface structures are indispensable conditions for stable operation and handling. In particular, triangularly shaped holes inside the struts were generated during the pyrolysis of polyurethane sponge as a sacricial template, which lead to limite the strength of the reticulated foam as well as cracks. However, several attempts have been focused on the increasing the strut thickness. Here, we have prepared ceramic foams by the polyurethane sponge replication method with roller squeezing. Ceramic slurry including additives was determined with consideration of its viscous behavior. After pre-sintering, infiltration under vacuum was conducted. Metakaolin slurry was filled partially into the triangular void. As a result, the compression strength was improved by structure modification without composition change.

Spent nuclear fuel continues to be generated domestically and abroad, and various studies are actively being conducted for interim dry storage and disposal of spent nuclear fuel. The characteristics vary depending on the type of spent nuclear fuel and the initial specifications, and based on these characteristics, it is essential to estimate the burnup and enrichment of spent nuclear fuel as a nondestructive assay. In particular, it is important to estimate the characteristics of spent nuclear fuel with non-destructive tests because destructive tests cannot be performed on all encapsulated spent nuclear fuel in case of intrusion traces in safeguards. Data is made by measuring spent nuclear fuel directly to evaluate burnup of spent nuclear fuel, but computer simulation research is also important to understand its characteristics because past burnup history is not accurately written, and destructive testing is difficult. In Sweden, the dependency of the burnup history in source strength and mass of light-water reactor-type spent nuclear fuel was evaluated, and this part was also applied to MAGNOX in consideration of the possibility of being used to verify DPRK’s denuclearization. SCALE 6.2 TRITON modeling was performed based on public information on DPRK’s 5 MWe Yongbyon reactor, and the source strength of Nb-95, Zr-95, Ru-106, Cs-134, Cs-137, Ce-141, Ce- 144, Eu-154 nuclides were evaluated. Since the burnup of MAGNOX is lower than that of lightwater reactors, major nuclides in decay heat were not considered. The cooling period was evaluated based on 0, 5, 10, and 20 years. In case the discharge timing was different, the total period of discharge and reloading was the same, and the end-cycle burnup was the same, calculations showed that the source strength emitted from major nuclides was evaluated within 2-3% except for Ru-106 and Ce-144 nuclides. Even the burnup step of nuclear fuel is the same, and the reloaded length after discharge is different, i.e., the cooling period between is different at 5, 10, and 20, the source strength of Nb-95, Zr-95, Ce-144, and Cs-137 was evaluated as an error of 1%. Except for Ru-106 and Ce-144, nuclides are highly dependent on burnup. Compared to the case of light-water reactors, the possibility of a decrease in error needs to be considered later because the specific power is low. As a result, radionuclides in released fuel depend on the effects of burnup, discharged and reloaded period, and a cooling period after release, and research is needed to correct the cooling period within the future burnup history. In addition, in this study, it is necessary to select a scenario -based burnup because the standard burnup due to the statistical treatment of discharged fuels was not considered as conducted in previous studies.

The demand for high-strength steel is rising due to its economic efficiency. Low-cycle fatigue (LCF) tests have been conducted to investigate the nonlinear behaviors of high-strength steel. Accurate material models must be used to obtain reliable results on seismic performance evaluation using numerical analyses. This study uses the combined hardening model to simulate the LCF behavior of high-strength steel. However, it is challenging and complex to determine material model parameters for specific high-strength steel because a highly nonlinear equation is used in the model, and several parameters need to be resolved. This study used the particle swarm algorithm (PSO) to determine the model parameters based on the LCF test data of HSA 650 steel. It is shown that the model with parameter values selected from the PSO accurately simulates the measured LCF curves.

This paper proposes the optimal molecular weight for a petroleum-based binder pitch to enhance the density and strength of the prepared graphite block. The effect of the molecular weight on the binder properties, which was quantified using solvent fractionation, was considered based on the evaluation of the coking and viscosity characteristics. The affinity of the pitch to coke influenced the carbonization yield of the block, and the proportion of closed pores was reduced via the use of a highaffinity binder pitch. In addition, the viscosity was found to influence the uniformity of the coke and pitch dispersions, and numerous open pores were formed in the graphite block under high-viscosity conditions. In terms of the molecular weight, a reduction in the content of the insoluble 1-methyl-2-pyrrolidone (NMP) fraction, which was the heaviest fraction present in the pitch, was found to reduce the affinity of the binder to coke while increasing its viscosity. Therefore, the density and strength of the prepared graphite block were reduced upon increasing the insoluble NMP content of the binder pitch. Consequently, it was necessary to control the content of this fraction within < 13.81 wt% to obtain high-density and high-strength graphite blocks.