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.

The abstract should clearly state the purpose and nature of the investigation while summarizing the key conclusions in English only. It should be a single paragraph consisting of no more than 200 words. This study presents a method to enhance the seismic performance of a stacked stone pagoda by utilizing a Ball Vibration Absorber (BVA). The governing equations of motion for sliding, the primary failure mode of the stacked stone pagoda, were derived, and a numerical model was developed. Through various numerical analyses, the optimal design parameters of the BVA were identified to maximize its seismic control effectiveness for the pagoda. The BVA device can increase the critical seismic acceleration at which the sliding mode occurs in the structure. Moreover, the seismic control performance of the BVA improves with an increase in the mass of the sphere and the coefficient of friction between the layers. Conversely, as the applied seismic acceleration rises, the effectiveness of the BVA in controlling seismic responses diminishes, although a certain level of control effect is maintained. Finally, as long as the sphere of the BVA maintains a specific range of rolling motion, the radius of the sphere or rolling radius does not significantly impacts its seismic control performance.

Current seismic design provisions prohibit the use of a weak panel zone from using special moment frame (SMF) connections due to concerns that large deformations in these zones may lead to brittle connection failures. However, several experimental studies have demonstrated that moment connections with weak panel zones can exhibit adequate ductility and energy dissipation capacity for SMF connections. This study aims to investigate the impact of weak panel zones on the seismic performance of SMFs utilizing welded unreinforced flange-welded web (WUF-W) connections, as outlined in AISC 358-22. The analysis will consider both four-story and twelve-story SMFs. Each frame will be modeled with either strong or weak panel zones. The findings indicate that SMFs with weak panel zones demonstrate greater ductility and collapse strength compared to their counterparts with strong panel zones.

본 연구는 수소 저장 용기의 지진 취약도 분석 시 요구되는 막대한 계산 자원 문제를 해결하고자, 기하학적 대칭성을 활용한 1/4 대칭 유한요소 모델(Quarter Model)을 개발하고 그 타당성을 검증하였다. 표준화된 AC 156 인공지진을 이용한 비선형 시간 이력 해석을 통해 Full Model과 응답을 비교한 결과, Quarter Model의 해석 시간을 Full Model의 20%를 가지고 해석을 완료하였으 며, 이에 따른 신뢰성 확보를 위해 최상단 변위를 통해 이를 검증하였을 때 0.13%의 미미한 오차를 보이며 변위 시간 이력 양상 역시 동일한 거동을 보이며 효율성 확보라는 연구 목표를 달성했다. 또한, 고유진동수, 강재와 콘크리트 주요부의 최대 응력에서 모두 높은 수준의 일치도를 보여 정량적 신뢰도를 입증하였다. 이를 통해 제안된 모델은 해석 정확도를 유지하면서 계산 비용을 획기적으로 절감 하는 효율적인 방법론임을 확인하였다. 다만 이는 균질 등방성 재료인 강재에 한정된 대칭 모델이며, 그 외의 재료 사용 시 추가적인 연구를 통한 모델 구축이 필요할 것으로 판단된다.

대부분의 원전 설비의 내진 해석에는 해석이 비교적 간편하고, 설계에 보수성을 적절히 반영할 수 있어 대부분 기기가 설치된 위치에서의 층응답스펙트럼 혹은 In-structure response spectrum을 이용한 응답스펙트럼 해석을 주로 이용하고 있다. 설비 공급자 는 설계 시방서에 층응답스펙트럼 선도의 형태로 입력 지진파 자료를 받게 되는데, 필요시 이를 바탕으로 인공 지진파을 만들어 해석 혹은 시험을 수행한다. 설계지반응답스펙트럼의 경우 RG 1.60에 주어지고 SRP 3.7.1의 요건에 따라 인공 지진파 시간 이력을 생성하 나, 층응답스펙트럼의 경우 명확은 기준이 없어 이를 따르고 있다. 층응답스펙트럼은 구조물의 동특성이 반영되기 때문에 지반응답스 펙트럼에 비해 형태가 복잡하여 기존의 P-CARES 등의 인공 지진파 생성 프로그램을 이용할 경우 SRP 3.7.1의 요건에 맞는 시간 이력 인공 지진파를 얻기 위해서는 상당한 노력이 필요하다. 본 연구에서는 수치 최적화를 이용하여 복잡한 형태의 층응답스펙트럼이 라도 SRP 3.7.1의 요건 내에서 그 형태를 따르는 인공 지진파 시간 이력을 효율적으로 생성할 수 있는 절차를 개발하였다.

This study investigates the seismic performance of beam-column connections using Thin-Walled Steel Composite (TSC) beams and Prestressed Reinforced Concrete (PSRC) columns. TSC beams are constructed from U-shaped thin steel plates that are filled with concrete, allowing for composite action with slabs through the use of shear connectors. They are widely applied in industrial buildings due to excellent strength, stiffness, and constructability. However, slender web plates are prone to local buckling, which may compromise their performance during seismic events. To mitigate this issue, internal supports have been introduced to enhance web stability and concrete confinement. Cyclic loading tests on three specimens—with and without internal supports—demonstrated that the supports increased moment capacity, improved energy dissipation, and effectively reduced buckling. Even slender sections demonstrated performance comparable to that of compact sections. All specimens reached peak strength at a 2.44% rotation angle, with damage localized near the supports. A practical connection detail was also proposed, taking into account constructability and structural reliability. The results provide valuable guidance for the seismic design of composite systems in large-scale structures.

The concept of resilience has gained increasing attention amid growing urbanization and rising vulnerability to infrastructure. While various methodologies exist for evaluating the resilience of lifeline systems, few address the distinct structural features and failure modes of railway networks. This study refines existing approaches by incorporating characteristics unique to high-speed railways, with a focus on two key aspects. First, we define the structure of railway networks by identifying nodes and links, and deriving link-specific resilience criteria based on the fragility characteristics and recovery profiles of their structural components. Second, we utilize real data from the Korean railway system to quantify the performance degradation caused by component failures during seismic events. To assess the framework’s applicability, we use a simplified network and a more complex one integrating Korea’s Honam Line and Honam High-Speed Line. The framework effectively identifies critical scenarios and provides a valuable tool for decision-makers in assessing seismic risk and planning recovery for railway infrastructure.

Seismic design and risk assessment require input ground motions that accurately reflect both the seismic intensity associated with the target hazard level and the regional seismic characteristics of Korea. In this study, a scenario earthquake was defined through seismic hazard deaggregation. Due to the lack of recorded ground motions in Korea for this particular scenario, a finite fault was modeled. Seed ground motions related to the scenario earthquake were generated using the empirical Green’s function method, based on the 912 Gyeongju earthquake. During the spectral matching process, the convergence of the spectrum used for ground motion selection and the target Uniform Hazard Spectrum (UHS) was analyzed. This analysis led to the proposal of specific spectral conditions for selecting ground motions. The final set of input ground motions was then applied in time-history analyses of a nuclear power plant containment structure to assess its seismic response characteristics. The analysis results demonstrate that the proposed ground motion generation procedure applies to the development of ground motions in regions with moderate seismicity.

Existing reinforced concrete building structures have seismically-deficient details on columns and beam–column joints; therefore, accurate modeling of structural behavior is required for reliable seismic performance assessment. This study aims to investigate the differences in dynamic responses resulting from modeling variations through developing four distinct numerical models. Separate models were established to simulate flexural and shear failures of columns and beam–column joints. Using these component-level models, a structural analysis model of the target building was constructed, and nonlinear time-history analyses were performed to evaluate seismic performance. Based on the simulated dynamic behavior of the target building, soft-story mechanisms were identified, and it was identified and confirmed that column behavior plays a dominant role in governing the overall structural response.

This study was intended to compare with seismic fragility assessments for a low-rise RC piloti structure using the Capacity Spectrum Method (CSM) and the Incremental Dynamic Analysis (IDA). Distribution-parameters were estimated using the Method of Moments (MoM) and the Maximum Likelihood Estimation (MLE). For given limit states defined by FEMA 356, two seismic fragility assessments yielded different medians and dispersions: the CSM produced steeper in the slopes of fragility curves with smaller dispersions, whereas the IDA captured wider response scatters and broader dispersions. When fitting the fragility curves, the MLE scheme provided to well match with the empirical cumulative distribution function(CDF) than the MoM scheme, which understated dispersions.

Machine learning (ML) techniques have been increasingly applied to the field of structural engineering for the prediction of complex dynamic responses of safety-critical infrastructures such as nuclear power plant (NPP) structures. However, the development of ML-based prediction models requires a large amount of training data, which is computationally expensive to generate using traditional finite element method (FEM) time history analysis, especially for aging NPP structures. To address this issue, this study investigates the effectiveness of synthetic data generated using Conditional Tabular GAN (CTGAN) in training ML models for seismic response prediction of an NPP auxiliary building. To overcome the high computational cost of data generation, synthetic tabular data was generated using CTGAN and its quality was evaluated in terms of distribution similarity (Shape) and feature relationship consistency (Pair Trends) with the original FEM data. Four training datasets with varying proportions of synthetic data were constructed and used to train neural network models. The predictive accuracy of the models was assessed using a separate test set composed only of original FEM data. The results showed that models trained with up to 50% synthetic data maintained high prediction accuracy, comparable to those trained with only original data. These findings indicate that CTGAN-generated data can effectively supplement training datasets and reduce the computational burden in ML model development for seismic response prediction of NPP structures.

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.

In the United States, seismic design standards are crucial in classifying buildings into Risk Categories I to IV. These categories are based on the buildings' occupancy type and the potential risk they pose to public safety, the protection of human life, and the socioeconomic consequences of structural collapse in the event of an earthquake. As the risk category increases, a higher seismic importance factor and more stringent drift limits are imposed on the respective building. This results in enhanced lateral strength and stiffness of the seismic force-resisting system. This study, which compares the seismic demands of special moment frame buildings assigned to high-risk categories, focusing on static system overstrength, ductility, and collapse risk, provides practical insights for structural engineers and architects. For this purpose, nonlinear static and dynamic analyses are performed to quantify the seismic demands of 18 steel frame buildings assigned to Risk Categories II, III, and IV. The findings indicate that buildings in Risk Category II do not meet the target collapse risk of 1% in 50 years, as specified in ASCE/SEI 7. For buildings in higher risk categories, the equivalent lateral force method for estimating seismic base shear is deemed more effective in ensuring adequate seismic performance.

In this study, in order to identify the vibration characteristics of the process control cabinet, as a basic study for evaluating the seismic performance of nuclear power plant structures, a cabinet vibration test equipment, sliding base, and measurement system were constructed. The reliability of the base was verified by utilizing ODS and phase data to determine how the cabinet deforms under seismic conditions. In addition, the cabinet was subjected to excitation frequencies from 8 Hz to 15 Hz in order to examine the changes in the natural frequency of the cabinet according to the two types of sliding base motion and the cabinet door open/close status. The vibration characteristics of the empty cabinet were investigated experimentally to examine the cabinet excitation characteristics and changes in natural frequency. Since the structural rigidity of the cabinet changes depending on the excitation conditions and door opening/closing, the natural frequency and response size of the cabinet change. Since the door opening is a condition that greatly amplifies the cabinet vibration response, it causes structural defects and greatly affects the changes in natural frequency.

펄스형 지진이 비펄스형 지진보다 구조물에 보다 큰 손상을 유발하는 것으로 알려져 있다. 펄스형 지진으로부터 속도펄스를 추출 하면 펄스주기를 평가할 수 있는데, 55개의 펄스형 지진기록을 선정하여 펄스 주기를 평가하고 펄스 주기에 따라서 세 그룹으로 구분 하였다. 펄스 주기를 달리하는 따른 세 개의 지진그룹에 대하여 가속도, 속도, 변위에 대한 평균 응답스펙트럼을 비교한 결과, 펄스 주 기와 펄스주기에 대응하는 주기영역에서의 응답스펙트럼은 밀접한 연관성이 있음을 알 수 있었다. 펄스형 지진의 펄스주기가 교량 의 지진취약도에 미치는 영향을 분석하기 위하여, 세 가지 지진그룹의 펄스주기와 유사한 고유주기를 가지는 세 가지 교량모델을 작 성하여 지진취약도 해석을 수행하였다. 교량의 고유 주기와 펄스형 지진의 펄스 주기가 서로 유사할수록, 교량의지진취약도가 증가 함을 알 수 있다. 즉, 두 주기 간의 유사성이 증가할수록, 교량의 비탄성 응답이 증가하며 이에 따른 구조적 손상이 크게 증가한다고 할 수 있다.

The 3T irregular shape structure is used for designing wind loads in high-rise buildings. Among them, the Tapered shape is a shape with a cross-section that changes throughout the entire floor. Recently, various advanced Tapered shapes have been applied, such as having a cross-section that varies only in part of the height or combining different shapes. In this study, an analysis model was selected by applying three types of Tapered part locations(Bottom, Middle, Top) and angles as design variables. Equivalent static seismic loads and historical earthquake records were applied to compare and analyze the seismic response of the Tapered models with regular-shaped models. As a result of the analysis, positioning the partial taper in the middle shows the lowest seismic response. Additionally, a larger taper angle decreased the story drift ratio, top-story displacement, shear wall shear force, and column bending moment, while increasing absolute acceleration and column axial force.

최근 지구온난화로 인한 피해가 심각해짐에 따라 화석연료 사용을 줄이고자 친환경 수소 에너지의 활용이 증가하고 있다. 이에 따라 수소의 저장 및 운송을 위한 수소 저장 용기의 수요가 확대되고 있으나, 현재 널리 사용되고 있는 강재 기반 저장 용기는 부식과 같은 내구성 저하 현상에 취약하다. 따라서 선행 연구는 지지부 부식에 따른 내진 성능 저하 문제를 해결하기 위해 부식 저항성 이 뛰어난 CFRP를 지지부 기둥을 적용하여 설계 하중에서 적용성을 검토하였다. 이때 본 연구는 CFRP의 강도-중량비가 높음을 고려 하여 기존 강재 구조물 지지부 ㄱ 단면 대비 높은 강성을 가진 H 단면과 ㅁ 단면을 지지부 기둥에 적용하여 연구를 수행하였다. 이때 실제와 가까운 해석 결과를 도출하기 위해 고유진동수 추출해석을 진행하여 감쇠 계수를 적용 시켰고, AC 156 인공 지진을 설계 하중 으로 적용한 결과, ㅁ 단면을 적용한 강재 기둥의 접합부 응력은 222.34 MPa로 기존 ㄱ 형강 대비 78.93%로 설계 하중에 만족함을 보였다. ㅁ 단면 적용 CFRP 기둥은 파손 지수(DI)를 통해 평가하였고, 이때 최대 DI는 수지 인장에서 발생하였으며, 그 값은 0.708로 파괴 기준 대비 29.2% 낮아 설계 하중에 만족함을 보였다. 또한, 기초 슬래브에서 쪼갬 인장 응력과 휨 인장 응력을 통한 평가를 진행 하였고, 현장 실험 결과와 마찬가지로 설계 하중에 휨 인장 파괴가 발생하는 것으로 확인하였다. 하지만 파단 시점은 CFRP에서 1.54배 오래 설계 하중에 견디는 것을 확인하여, 그 적용성을 확인하였다. 결론적으로 지진의 발생 빈도가 높아짐에 따라 수소 저장 용기의 안전성 확보가 시급하다. 따라서 기존 강재 대상 구조물의 부식으로 인한 강성 저하 문제를 해결하기 위해, 높은 내구성 및 부식 저항성 재료의 적용은 필수적이다. 동시에 기초 슬래브의 안전성 확보에 대한 연구가 추가적으로 수행되어야 한다.

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.