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.

지진 발생 시 지진으로 인한 피해를 최소화하기 위해서는 지진 발생 이전의 재난 대비와 발생 이후의 복구계획 수립이 중요하다. 특 히 효과적인 대응체계 마련을 위해서는 심각한 피해가 예상되는 건축물을 대상으로 지진위험도를 평가하여 건축물의 피해를 예측하 는 과정이 지역사회를 단위로 수행되어야 한다. 본 논문에서는 건축물의 취약도와 지반운동이 결합되어 결정되는 지진위험도를 평 가하기 위해서 공학적으로 정량적으로 판단할 수 있는 지진 붕괴위험도의 개념을 활용하여 지역단위 평가를 수행하였다. 평가 결과, 행정구역 내 건축물의 구조유형 분포는 해당 지역 붕괴위험도 평가에 유의미한 영향을 미침을 확인하였다. 그러나 일부 지역에서는 구조유형만으로 설명할 수 없는 양상을 보였는데, 이는 지반종류에 따른 영향이 지역단위 붕괴위험도 평가에 있어 미치는 영향이 상 대적으로 크다고 판단할 수 있으며, 합리적인 평가결과 도출을 위하여 건축물의 내진성능에 의한 붕괴위험도와 반드시 함께 고려될 필요가 있음을 설명한다.

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.

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.

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.

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.

Reinforced concrete (RC) piloti buildings are vulnerable in the event of earthquake because the stiffness in the 1st story columns is weak to compare with the members in upper stories. In this study, seismic performances of RC piloti structures were evaluated considering with different types of floor plane layouts according to core eccentricity. With four types of floor plane layouts, five stories plioti structures were evaluated by two approaches, a nonlinear pushover analysis and a nonlinear time-history analysis. In order to improve seismic performances by satisfying the collapse prevention (CP) level, two ductile reinforcing methods by carbon fiber sheets and steel jackets were applied. Due to eccentricities in stiffness and mass with directions of plane and vertical stories, piloti structures were greatly influenced by higher order modes, so the seismic performances by the time-history analysis were significantly different from by the static pushover analysis.

과거 지진 발생 시 구조요소에 비해 비구조요소에서 더 많은 피해가 발생하였다. 비구조요소의 손상은 건물 및 시설의 기능에 영향을 줄 뿐만 아니라 인명피해를 유발할 수 있다. 건축물 내진설계 기준에서는 피난경로상의 비구조요소는 내진설계 또는 검토가 필요하다. 국내에서는 경주지진 이후 피난경로에 위치할 수 있는 천장 시스템의 내진성능 검증이 활발히 진행되고 있다. 그러나 옥외 계단, 문 등에 설치되는 캐노피 시스템의 내진설계 및 검증은 미흡한 실정이다. 지진으로 인해 캐노피가 위치유지를 하지 못하여 탈락 하거나 손상될 경우, 피난경로가 차단되어 인명피해로 이어질 수 있으므로 내진설계 및 내진성능을 평가할 필요가 있다. 따라서 본 연구에서는 모듈형 캐노피 시스템을 개발하고, 주요 요소에 대한 구조실험을 수행하였으며, 기존의 캐노피 시스템과 그 성능을 비교분 석 하였다.

The seismic performance of lead-rubber bearings (LRBs) is significantly affected by both the axial force and loading rate they experience. Accurate assessment of LRBs’ seismic performance, therefore, requires realistic simulation of these forces and rates, as well as of the response of the isolated structure during seismic events. This study conducted a series of real-time hybrid simulations (RTHS) to evaluate the seismic behavior of LRBs in such conditions. The simulations focused on a two-span continuous bridge isolated by LRBs atop the central pier, exposed to horizontal and vertical ground motions. In the RTHS framework, the LRBs were physically tested in the laboratory, while the remainder of the bridge was numerically modeled. Findings from these simulations indicated that the vertical ground motion had a minimal effect on the lateral response of the bridge when isolated by LRBs.

지진발생 시, 건물은 작게는 손상에서 크게는 붕괴까지 이어지므로 인명과 재산상의 피해가 생길 수 있다. 이러한 지진의 위험성에 대비하여 건물의 내진성능평가가 필요하다. 현재 내진성능평가 기법의 경우 개별 건물을 대상으로 하기에 많은 시간이 투자되어야 한다. 따라서, 지역규모의 건물들을 대상으로 하는 내진성능평가 기법의 개발이 필요한 실정이다. 본 연구는 RC 주거형 건물의 내진 성능을 평가하고 보강계획을 수립하기 위해 비선형 Shear Spring을 가진 단자유도모델을 구축하였다. 구조물의 비선형 응답을 모사 하기 위한 비선형 Shear Spring은 T-SR-μ를 매개변수로 정의된다. 해당모델에 100개의 PEER 지진을 적용하여, 최대층간변위비 응답 으로 건물의 내진성능을 평가하였다. 제안기법의 적용성을 확인하기 위하여 상세모델과 비교하였을 때, 두 모델 모두 건물의 내진성 능을 같은 수준으로 판단하였음을 확인하였다. 본 연구는 제안된 방식이 실제 건물의 내진성능을 예측할 수 있음을 보여주었다.

High-rise buildings are equipped with TMD (Tuned Mass Damper), a vibration control device that ensure the stability and usability of the building. In this study, the seismic response control performance was evaluated by selecting the design variables of the TMD based on the installation location of the twisted irregular building. To this end, we selected analysis models of 60, 80, and 100 floors with a twist angle of 1 degree per floor, and performed time history analysis by applying historical seismic loads and resonant harmonic loads. The total mass ratio of TMDs was set to 1.0%, and the distributed installation locations of TMDs were selected through mode analysis. The analysis results showed that the top-floor displacement responses of all analysis models increased, but the maximum story drift ratio decreased. In order to secure the seismic response control performance by distributed installation of TMDs in twisted irregular buildings, it is judged that the mass ratio distribution of TMDs will act as a key variable.

Dynamic responses of nuclear power plant structure subjected to earthquake loads should be carefully investigated for safety. Because nuclear power plant structure are usually constructed by material of reinforced concrete, the aging deterioration of R.C. have no small effect on structural behavior of nuclear power plant structure. Therefore, aging deterioration of R.C. nuclear power plant structure should be considered for exact prediction of seismic responses of the structure. In this study, a machine learning model for seismic response prediction of nuclear power plant structure was developed by considering aging deterioration. The OPR-1000 was selected as an example structure for numerical simulation. The OPR-1000 was originally designated as the Korean Standard Nuclear Power Plant (KSNP), and was re-designated as the OPR-1000 in 2005 for foreign sales. 500 artificial ground motions were generated based on site characteristics of Korea. Elastic modulus, damping ratio, poisson’s ratio and density were selected to consider material property variation due to aging deterioration. Six machine learning algorithms such as, Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost), were used t o construct seispic response prediction model. 13 intensity measures and 4 material properties were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks present good prediction performance considering aging deterioration.

Existing reinforced concrete (RC) building frames constructed before the seismic design was applied have seismically deficient structural details, and buildings with such structural details show brittle behavior that is destroyed early due to low shear performance. Various reinforcement systems, such as fiber-reinforced polymer (FRP) jacketing systems, are being studied to reinforce the seismically deficient RC frames. Due to the step-by-step modeling and interpretation process, existing seismic performance assessment and reinforcement design of buildings consume an enormous amount of workforce and time. Various machine learning (ML) models were developed using input and output datasets for seismic loads and reinforcement details built through the finite element (FE) model developed in previous studies to overcome these shortcomings. To assess the performance of the seismic performance prediction models developed in this study, the mean squared error (MSE), R-square (R2), and residual of each model were compared. Overall, the applied ML was found to rapidly and effectively predict the seismic performance of buildings according to changes in load and reinforcement details without overfitting. In addition, the best-fit model for each seismic performance class was selected by analyzing the performance by class of the ML models.

Phayathonzu temple in Myanmar was made of masonry bricks, and so it was vulnerable to lateral load such as earthquake. Especially, it has many difficulties in structural modeling and dynamic analysis because the discontinuous characteristics of masonry structure should be considered. So, it is necessary to provide the seismic performance evaluation technology through the inelastic dynamic modeling and analysis under earthquake loads for the safety security of masonry brick temple. Therefore, this study analyzes the seismic behavior characteristics and evaluates the seismic performance for the 479 structure with many cracks and deformations. Through the evaluation results, we found out the structural weak parts on earthquake loads.

본 연구에서는 수소 자원의 활용도가 높아짐에 따라 수소 저장 용기의 내진 성능을 평가하기 위해 수소 저장 시설을 방문하여 현장 조사를 수행하였다. 외관 조사 중, 수조 저장 용기의 지지부에서 부식이 진행됨을 확인하였고, 이에 대한 대책안 으로 내부식성 재료인 CFRP로 대체하여 성능을 평가, 검증하였다. 이를 위해 현장 조사 결과를 바탕으로 상용 유한요소해석 프 로그램인 ABAQUS를 사용하였으며, 해석 결과 CFRP로 제작된 수소 저장 용기의 지지부는 강재 대비 약 12배 이상 뛰어난 성 능을 보였다. Hashin Damage Criteria를 기반으로 CFRP 지지부의 안전성 검토를 수행한 결과 최대 손상 지수가 0.065로 확인되 었다. 기초부 콘크리트의 경우, 쪼갬 및 휨 인장 응력에 대한 안전성을 검토하였으며, 허용 강도 대비 7~36%의 안전도를 보였 다. 이를 근거로 CFRP를 수소 저장 용기의 지지부에 적용하는 것은 합리적이며, 뛰어난 경제성을 보인다. 다만, 이러한 결과는 수치 해석에 의하므로 실규모 지진동 모사 시험을 통해 해석 모델의 신뢰성을 보충할 필요가 있다.

This paper describes the seismic performance evaluation of reinforced concrete bridge columns under constant and varying axial forces. For this purpose, nine identical circular reinforced concrete columns were designed seismically by KIBSE (2021) and KCI (2021). A comparison of lateral forces with theoretical strength shows that the safety factor for columns under varying axial forces is less marginal than those under constant axial forces. In addition, columns under varying axial forces exhibit significant fluctuations in the hysteretic response due to continuously varying axial forces. This is particularly prominent when many varying axial force cycles within a specific lateral loading cycle increase. Moreover, the displacement ductility of columns under varying axial forces does not meet the code-specified required ductility in the range of varying axial forces. All varying axial forces affect columns' strength, stiffness, and displacement ductility. Therefore, axial force variation needs to be considered in the lateral strength evaluation of reinforced concrete bridge columns.

최근 국내에서 연간 지진 발생 횟수가 꾸준히 증가함에 따라 공공시설물에 대한 내진 보강의 필요성이 더욱 대두되고 있다. 이 연구 에서는 사각 단면을 가진 철근콘크리트 기둥에서 강봉보강의 유무에 따른 내진 성능 개선 효과를 분석하기 위해 비선형 유한요소해 석을 수행하였으며, 검증을 위해 구조실험결과와 비교하였다. 분석 결과, 이 연구에서 수행한 유한요소해석이 실제 강봉보강공법을 적용한 철근콘크리트 기둥의 구조 거동을 합리적으로 잘 묘사하는 것으로 나타났다. 또한, 해석 및 실험 모두 강봉보강공법 적용으로 인해 파괴모드가 취성파괴에서 연성파괴로 전환되었으며, 강도와 연성도 모두 증가하는 것으로 나타났다. 따라서, 강봉보강공법 적 용을 통해 기존 철근콘크리트 기둥의 내진 성능을 효과적으로 증진시킬 수 있는 것으로 판단된다. 이 연구의 주요 결과는 향후 설계 방 안 마련 등 관련 연구에 유용할 것으로 기대된다.

For fast-built and safe precast concrete (PC) construction, the dry mechanical splicing method is a critical technique that enables a self-sustaining system (SSS) during construction with no temporary support and minimizes onsite jobs. However, due to limited experimental evidence, traditional wet splicing methods are still dominantly adopted in the domestic precast industry. For PC beam-column connections, the current design code requires achieving emulative connection performances and corresponding structural integrity to be comparable with typical reinforced concrete (RC) systems with monolithic connections. To this end, this study conducted the standard material tests on mechanical splices to check their satisfactory performance as the Type 2 mechanical splice specified in the ACI 318 code. Two PC beam-column connection specimens with dry mechanical splices and an RC control specimen as the special moment frame were subsequently fabricated and tested under lateral reversed cyclic loadings. Test results showed that the seismic performances of all the PC specimens were fully comparable to the RC specimen in terms of strength, stiffness, energy dissipation, drift capacity, and failure mode, and their hysteresis responses showed a mitigated pinching effect compared to the control RC specimen. The seismic performances of the PC and RC specimens were evaluated quantitatively based on the ACI 374 report, and it appeared that all the test specimens fully satisfied the seismic performance criteria as a code-compliant special moment frame system.

현장에 적용하는 콘크리트 강도가 증가함에 따라 초고성능 콘크리트의 적용 분야가 넓어지고 있다. 초고성능 콘크리 트에는 강섬유를 일반적으로 사용하고 있지만, 이를 대체하기 위해 다양한 섬유를 연구에 적용하고 있다. 대표적으로 슈퍼섬유 라고 알려진 아라미드 섬유가 있다. 본 연구에서는 초고성능 콘크리트의 특성이 구조물 보수보강 및 내진보강에 적용하기에 적 합하다고 판단하여, 슈퍼섬유 중 하나인 파라아리미드 섬유와 조합한 복합섬유를 혼입한 초고성능 콘크리트를 보-기둥 접합부에 내진보강재로 활용하여 특성을 분석하였다. 초고성능 콘크리트의 내진보강 효과를 확인하였으며 내진상세를 적용한 실험체와 유사한 거동을 확인하였다. 초고성능 콘크리트의 높은 강도로 인해 기존 콘크리트가 파괴되는 양상이 나타나 초고성능 콘크리 트의 보수보강 효과를 모두 발휘하지 못하고 있어 추가 연구를 통해 최적의 보강단면을 설정한다면 내진보강재료로 활용할 수 있을 것으로 판단된다.

An elastic bearing must be strong against vertical loads and flexible against horizontal loads. However, due to the material characteristics of rubber, it may show variability due to the manufacturing process and environmental factors. If the value applied in the bridge design stage and the actual measured value have different values or if the performance during operation changes, the performance required in the design stage may not be achieved. In this paper, the seismic response of bridges was compared and analyzed by assuming a case where quality deviation occurs during construction compared to the design value for elastic bearings, which have not only always served as traditional bearings but also have had many applications in recent seismic reinforcement. The bearing's vertical stiffness and shear stiffness deviation were considered separately for the quality deviation. In order to investigate the seismic response, a time history analysis was performed using artificial seismic waves. The results confirmed that the change in the bearing's shear stiffness affects the natural period and response of the structure.