Since the National Emergency Management Agency’s seismic fragility function, developed in 2009, classified domestic buildings by structural type, numerous studies have used this classification. In 2021, the updated seismic fragility function adopted a slightly more complex classification logic, limited to concrete structures. Data for structural-type classification were derived from information in the building register, including primary use, floor area, permit date, and number of stories. To verify and improve the accuracy of the classification logic, a sample of approximately 1,800 from about 13,000 concrete buildings in a specific region was selected. Structural types classified by the logic were compared with those identified through road views provided by the Architecture HUB. The results confirmed that the existing classification logic requires revision to incorporate additional variables, including the sub-use of the building and the area-by-use on the first floor. The revised logic significantly improved classification accuracy by including those variables.

This study evaluates environmental impact factor emissions generated by three concrete-pavement methods. Specifically, internationally commercialized programs are used to calculate the environmental impact factors of selected domestic concrete-pavement projects, thereby identifying areas requiring improvement. This study quantified the material usage and energy consumption associated with the construction and maintenance of three concrete-pavement methods. Using internationally commercialized software, this study evaluated the emissions of environmental impact factors for jointed concrete, continuously reinforced concrete, and mechanized continuously reinforced concrete pavements under three assumed maintenance scenarios for each method. Analysis of the environmental impact factors over a 30-year period under three maintenance scenarios (Cases A, B, and C) shows that, for the three pavement methods, the construction phase is dominant— constituting 70%–99%—across most impact categories, including global warming, smog formation, acidification, eutrophication, human toxicity, ecological toxicity, and respiratory effects. This study analyzes the environmental impact factors during the construction and maintenance processes of three concrete-pavement types using foreign LCI databases and identifies the environmental impacts of each input material. In the future, if LCI and LCIA databases for domestic road pavement materials are established and analyses are conducted based on the conditions presented in this study, then a foundation can be realized for the development of environmentally friendly materials and methods.

Rapid post-earthquake retrofit decisions require reliable estimates of interstory drift ratio. Conventional field practices either depend on instrumented measurements constrained by sparse sensor coverage or rely on qualitative expert judgment. This study aims to develop a CNN-based interstory drift ratio prediction method for reinforced concrete columns using strain-derived damage images. Reinforced concrete columns are modeled and analyzed in OpenSees to obtain strains and displacements. Strain fields are converted into strain-derived damage images through threshold-based staging that encodes discrete damage states. Structural parameters are concatenated to the damage image by adding fixed-value columns so the network can read structural context in a single two-dimensional input. We design systematic comparisons to isolate the benefit of structural information and section coverage. First, models without structural parameters are trained. Second, single-parameter variants are trained where only one attribute is provided. Third, full-parameter models include all attributes. For each setting, both single-section and multi-section inputs are evaluated. Samples are split by case and then divided 80/20 into training and validation sets. Model performance is reported using RMSE, MAE, and R-squared. The proposed approach achieves accurate inter-story drift ratio prediction overall, with improved performance when all structural parameters and multi-section inputs are used.

Reinforced concrete structures require effective strengthening methods to improve shear capacity and ductility. Conventional external systems such as steel plates or CFRP sheets are limited by premature debonding and member damage. This study experimentally evaluated the shear performance of concrete beams strengthened with iron-based shape memory alloy (Fe-SMA) strips. Static loading tests compared the effects of prestressing activation, retrofit type and retrofit ratio. The activation of Fe-SMA effectively delayed the formation of shear cracks and reduced width. Also, the Fe-SMA suppressed the shear deformation of stirrups and concrete, resulting in enhanced shear performance and ductility of the strengthened beams. Overall, the Fe-SMA strengthening method was found to be effective in improving the serviceability and maintenance performance of reinforced concrete beams.

In response to the contemporary demands of the construction industry for climate-change action and carbon neutrality, this study conducts a comprehensive analysis of the applicability of Portland limestone cement (PLC)—a notable sustainable alternative to ordinary Portland cement (OPC)—for highway pavement applications. PLC is an eco-friendly material that reduces carbon-dioxide emissions and energy consumption compared with OPC by reducing the clinker ratio in its manufacturing process. This study examines the fundamental physical and chemical mechanisms of PLC concrete and compares its mechanical performance and durability characteristics with those of OPC concrete. The results indicate that PLC concrete exhibits performance levels equivalent to or superior to those of OPC in key metrics such as compressive and flexural strengths, with particularly outstanding performance in durability aspects such as chloride-penetration resistance. However, the potential for early-age cracking and compatibility issues with certain admixtures are identified as challenges that must be addressed for the wider field application of PLC concrete. Thus, this study proposes the integration of nanotechnology to overcome these technical limitations and maximize performance. Specifically, methods to significantly improve the strength, abrasion resistance, fatigue resistance, and crack-control performance by utilizing nanomaterials such as Nano- , Nano- , and graphene oxide ( ) to control the microstructure of PLC concrete are presented. Finally, a comprehensive roadmap is proposed to enhance the field applicability of PLC concrete for highway pavements and contribute to the construction of sustainable social infrastructure through three key strategies: mix design optimization, consideration of regional environmental conditions, and integration of nanotechnology.

In reinforced concrete (RC) structures, steel corrosion can be occurred due to carbonation and chloride penetration, and these phenomenon lead to a degradation of the structural performance. Existing analytical models for corroded RC columns depend on complex empirical formulas based on specific experimental data. This study proposes a macro analytical model to predict the lateral load-resisting behavior of corroded RC columns. The proposed model is composed of a force-based nonlinear beam–column element that simulates the flexural behavior and a zero-length section element that represents the bond–slip deformation at the column base. To validate the proposed model, its results were compared and analyzed with the experimental results from existing literature. The results showed that the proposed model evaluated the maximum strength and the residual strength at a 4% drift ratio similarly to the experimental values. Furthermore, the model effectively predicted the pinching phenomenon and the hysteretic behavior under cyclic loading.

The objective of this study is to quantitatively evaluate the effect of pavement aging on the blow-up occurrence temperature of jointed concrete pavements. Pavement aging reduces the effective joint width through joint deterioration and infiltration of incompressible materials, thus decreasing the trigger temperature for pavement growth (TTPG). The TTPG is defined as the concrete temperature at which all transverse contraction joints within the expansion joint system are completely closed and the slabs begin to behave as a single structural unit. Once the maximum concrete temperature (Tmax) exceeds the TTPG, the temperature difference (ΔT = Tmax−TTPG, i.e., the effective temperature) results in compressive stresses within the slab, thus initiating the blow-up mechanism. A lower TTPG increases ΔT, thus accelerating thermal expansion and the accumulation of the annual maximum compressive stress. Expansive products generated by the alkali-silica reaction (ASR) and higher coefficients of thermal expansion (CTEs) further intensify internal compressive stresses, thus inducing blow-up at lower temperatures. Moreover, the subbase type affects the blow-up occurrence temperature owing to the differences in geometric imperfections and the slab–subbase friction. This study employs the pavement growth and blow-up analysis model to estimate blow-up occurrence temperatures, thus explicitly addressing the combined effect of pavement aging, ASR, CTE, and subbase type.

본 연구는 철근 부식 문제의 대안으로 주목받는 섬유보강폴리머(FRP) 보강 콘크리트 구조물의 성능을 통합적으로 평가하고 최적 설계 기준을 제시하기 위해 메타분석을 수행하였다. 부착, 휨, 압축 성능을 다룬 선행 연구 6편에서 도출된 355개의 정량적 데이 터 셋을 종합하여, 개별 연구에서는 파악하기 어려운 설계 변수 간의 상호작용과 성능의 임계 조건을 규명하였다. 분석 결과, 특정 조건에서 FRP 보강 부재의 성능이 오히려 철근콘크리트(RC)보다 저하되는 ‘성능 전이 현상’을 최초로 정량화하였다. 휨 부재에서는 보강비(ρ)에 따라 요구되는 최소 탄성계수(      )를, 압축 부재에서는 RC 대비 성능 우위를 확보하기 위한 임계 보강비 (  )와 최소 콘크리트 강도(  40MPa)를 제시했다. 또한, 기둥의 취성파괴 위험을 설계 초기 단계에서 정량적으로 평가할 수 있는 ‘취성파괴 위험지수(BFRI)’를 개발하여 안전성 검증을 위한 새로운 척도를 제안했다. 본 연구의 성과는 기존의 정성적 지침을 넘어, 실무 설계자가 FRP의 성능을 극대화하고 취성파괴 위험을 체계적으로 관리할 수 있는 정량적 설계 프레임워크를 제공한다는 점에서 중요한 의의를 가진다.

국내 GFRP 보강 콘크리트에 대한 설계기준이 제정되었으나, 국내 적용은 여전히 제한사항이 많은 상황이다. 특히, 국외 기준을 참고하면서 연구데이터가 부족하여 보수적으로 설계된 사항이 동일하게 적용되었지만, 국외보다 상대적으로 품질이 떨어지는 국내 GFRP 시장에서는 현장 적용이 쉽지 않은 실정이다. 이러한 이유로 국내외에서는 보수적인 설계기준을 개정하기 위해 다양한 연구가 진행되고 있다. 보 부재는 설계기준의 값이 얼마나 보수적인지 검증하는 연구가 주를 이루고 있으며, 기둥의 경우 GFRP 보강근 의 압축력에 대한 연구가 다수 진행되었다. 그 외에는 현재 설계기준에 활용하기 위해 다양한 콘크리트 부재에 대한 연구가 진행되어 설계식을 제안하고 있다. 본 연구에서는 국내외에 GFRP 보강근에 관한 최신 연구동향을 조사 및 분석하여 현재 보수적으로 적용된 설계 내용에 대한 개정방향과 향후 추가적인 연구를 통해 관련 설계기준 및 시방서를 현실에 맞게 제⋅개정하는데 기초자료로 활용하 고자 한다.

Pavement friction under wet conditions is a critical factor affecting driving safety and is determined significantly by water-film thickness (WFT). Although current road geometric design standards incorporate wet-pavement friction coefficients as design parameters, they do not adequately account for the effects of WFT. This study estimates the variation in the coefficient of friction caused by changes in the WFT and applies the results to the calculation of stopping sight distance (SSD) and radius of curvature (RC), which are essential elements in road geometry design. Through this approach, the study identifies the limitations of current standards and proposes potential improvements. WFT was estimated using the Gallaway model, which was previously verified through comparative analysis and experimental validation. The model incorporates key influencing factors such as rainfall intensity, pavement slope, drainage path length, and mean texture depth. Based on the estimated WFT, the longitudinal and lateral friction coefficients were calculated using Gallaway’s SN and Lamm’s models, respectively. Using these friction values, the SSD and RC were evaluated under various pavement and environmental conditions. Furthermore, comparisons with existing design guidelines were performed to assess whether the predicted values satisfy the standards under different conditions. Additionally, areas requiring improvement were identified. The analysis confirmed that WFT increases with rainfall intensity and drainage path length, whereas it decreases as the pavement slope, mean texture depth, and tread depth increase. An increase in the WFT significantly reduces the friction coefficient, which consequently increases the SSD and required RC. In particular, under conditions such as heavy rainfall, worn treads, long drainage paths, and shallow surface textures, the calculated SSD and RC typically exceed the minimum requirements of current road-design standards. By contrast, ensuring sufficient surface texture effectively maintains friction performance and mitigates increases in the SSD and RC. The findings of this study suggest that current road-design standards—based on dry or vaguely defined wet conditions—may not sufficiently address the effects of WFT on pavement friction. A quantitative, WFT-based approach is required for more realistic friction estimations. To enhance safety in rainy conditions, road designs should incorporate structural and material improvements, such as optimizing pavement slopes, reducing the drainage path length, maintaining adequate surface texture and tread depth, and adopting high-performance surfacing materials. Additionally, dynamic speed-management systems during rainfall and preventive maintenance for sections with inferior drainage should be considered to improve driving safety under wet weather conditions.

Non-seismic-designed reinforced concrete (RC) pier walls often include lap splices in potential plastic hinge regions. This study develops an analytical model to capture the post-yield load–deformation response of lap-spliced RC pier walls subjected to earthquake loading. The parameters of the model were calibrated using experimental results, and linear regression was conducted to propose predictive equations for these parameters. The accuracy of the model was validated by comparing it to the load–deformation responses of specimens not included in the calibration database. Subsequently, the developed model was applied to probabilistic bridge models supported by RC pier walls. A multi-parameter seismic demand model was constructed, taking into account geometric, material, and structural uncertainties, using Lasso regression. This model achieved R² values of 0.73 for in-plane loading and 0.75 for out-of-plane loading. The improvements in performance metrics and the results of the sensitivity analysis emphasize the need to develop a multi-parameter seismic demand model to ensure more reliable seismic demand predictions.

경량 골재 콘크리트는 높은 다공성을 지닌 골재를 사용하여 제작되며, 이는 재료의 역학적 성질 및 내구성에 중대한 영향을 미친 다. 최근 콘크리트 분야에서는 내부 공극 구조를 비파괴적으로 분석할 수 있는 기술로서 micro-computed tomography(micro-CT)의 활 용이 활발히 이루어지고 있으며, 특히 경량 골재 콘크리트의 공극 구조를 정밀하게 포착하는 데 효과적인 것으로 나타났다. 그러나 경 량골재는 이질적인 밀도 분포와 내부 다공성으로 인해 영상 내 분할 과정에서 어려움을 유발하며, 이로 인해 골재가 공극으로 잘못 인 식되거나 경계가 명확히 구분되지 않는 문제가 발생할 수 있다. 이러한 한계를 극복하기 위해 본 연구에서는 경량 골재 콘크리트의 micro-CT 영상에서 골재를 정밀하게 식별할 수 있도록 고안된 향상된 분할 알고리즘을 제안하였다. 제안된 알고리즘의 성능은 기존 의 세분화 방법과의 비교 분석을 통해 평가되었으며, 더불어 제안 방식과 기존 방식 각각으로 생성된 3차원 micro-CT 데이터를 활용 하여 열전도도 시뮬레이션을 수행하였다. 그 결과, 제안된 알고리즘은 공극 및 골재 경계의 정확한 식별에 있어 기존 기법보다 향상된 정확도를 보였으며, 이는 LWAC의 미세구조 분석 및 거동 예측 모델링의 정밀도를 높이는 데 기여할 수 있는 가능성을 보여준다.

본 연구는 기계학습 및 설명 가능한 인공지능(xAI) 기법을 활용하여 폭발 하중을 받는 철근콘크리트 기둥의 보강 단계(Retrofit Level, RL)를 신속하게 평가하는 종합적 프레임워크를 제시한다. 파괴 유형와 보강 요구사항을 예측하기 위한 다단계 기계학습 접근 법을 개발하였으며, 이후 부분 의존성 그래프(Partial Dependence Plot, PDP) 분석을 통해 데이터 기반 보강 전략을 수립하였다. 제안 된 프레임워크는 두 가지 주요 프로세스로 구성된다: (1) 파괴유형 분류 및 RL 예측을 위한 다단계 기계학습 모델을 활용한 폭발 성능 평가, (2) 입력 변수 효과의 체계적 분석을 통한 PDP 기반 보강 전략 개발. RL 예측 모델은 광범위한 폭발 손상 평가 데이터를 바탕으 로 학습되었으며, 휨 및 전단 파괴유형에 대해 세 가지 손상 조건(심각, 보통, 경미)에서 검증되었다. PDP 분석 결과, 파괴유형과 손상 조건에 따라 서로 다른 보강 특성이 나타남을 확인하였다. PDP 기반 분석을 통해 주철근비 및 전단철근비에 대한 보강 가능 구간과 불가능 구간을 성공적으로 식별하였다.

테트라포드는 일반적으로 무근콘크리트로 제작되어 취성적 거동을 보인다. 이러한 파괴 양상을 개선하고 균열 저항성을 증진시키 기 위한 방안으로 섬유보강 콘크리트를 사용하는 것이 대안 중 하나가 될 수 있다. 본 연구에서는 유한요소해석을 통해 섬유보강 콘크 리트를 적용한 테트라포드의 구조성능을 평가하는데 중점을 두었다. 이를 위해 기존 연구자들의 실험 결과와 비교하여 유한요소모 델을 검증하였으며 이후 변수해석을 진행하였다. 변수해석의 주요 변수는 섬유보강 콘크리트의 파괴에너지로 설정하였다. 문헌조사 를 통해 다양한 섬유보강 콘크리트의 파괴에너지 범위를 도출하고 이를 변수해석에 적용하였다. 해석 결과, 테트라포드의 파괴는 균 열에 의한 인장 파괴가 지배하는 것으로 나타났으며, 섬유보강 콘크리트의 사용은 테트라포드의 연성을 향상시킬 수 있는 것으로 확 인되었다.

본 논문은 고온 환경에 노출된 TRM 보강 RC 보의 잔존강도를 예측하기 위한 해석적 연구결과를 제시한다. 연구를 위해 상용 유한요소해석 프로그램인 ABAQUS가 사용되었으며, 콘크리트, 철근, CFRP grid, 모르타르에 대한 재료모델이 제안되었다. 본 연구에서 제안된 유한요소해석 모델의 검증을 위해 선행 연구결과에 대한 재현 해석이 수행되었다. 제안된 유한요소해석 모델의 예측 된 결과는 실험결과와 비교하여 잔존 극한하중과 극한하중 시점에서 각각 약 97.6%, 90.58%의 정확도를 보이는 것으로 나타났다. 또한, 유한요소해석을 통한 균열양상은 실험결과와 비교적 정확하게 예측되었다. 따라서 본 연구에서 제안된 해석모델은 고온 환경에 노출된 TRM 보강 RC 보의 잔존강도를 예측하기 위해 효과적으로 사용될 수 있을 것으로 판단된다.

This study analyzes the impact of climate change on the performance of continuous reinforced concrete pavement (CRCP) and proposes a method to improve the existing KPRP–CRCP design procedure. Our analysis of monthly mean temperature data from the Seoul Meteorological Station revealed a general increase in temperature from 2001 to 2034, with a more significant increase observed during summer and winter. The existing KPRP–CRCP design method uses the drop temperature (DT) as a key variable. Notably, the increasing monthly mean temperatures owing to climate change tend to decrease the DT that in turn lowers the maximum stress on the pavement slab. This leads to a significant problem: if the traditional design method based on outdated data is used, the predicted number of punchouts will be lower than expected. This can result in an over-reduction in the reinforcement ratio and slab thickness, leading to premature failure and increased maintenance costs. To solve this issue, we introduced a predictive model for the final setting temperature that accounts for monthly and regional characteristics. Applying this model showed that as the temperature increased, the DT and maximum stress proportionally increased. This provided a more realistic prediction of the number of punchouts and addressed the flaws of the existing design method. Furthermore, our analysis of punchout counts based on the construction start month using this predictive model revealed that punchouts were more frequent in summer (July–August) and less frequent in winter (January–February). Based on this, we determined that the optimal seasons for placing continuous reinforced concrete pavements were spring (March–June) and fall (September–November). In situations where the actual construction start month was unknown, we recommended using a conservative design approach based on the design in August, when punchouts were most likely to occur.

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.

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.