In order to improve the ground-motion prediction equation, which is an important factor in seismic hazard assessment, it is essential to obtain good quality seismic data for a region. The Korean Peninsula has an environment in which it is difficult to obtain strong ground motion data. However, because digital seismic observation networks have become denser since the mid-2000s and moderate earthquake events such as the Odaesan earthquake (Jan. 20, 2007, ML 4.8), the 9.12 Gyeongju earthquake (Sep. 12, 2016, ML 5.8), and the Pohang earthquake (Nov. 15, 2017, ML 5.4) have occurred, some good empirical data on ground motion could have been accumulated. In this study, we tried to build a ground motion database that can be used for the development of the ground motion attenuation equation by collecting seismic data accumulated since the 2000s. The database was constructed in the form of a flat file with RotD50 peak ground acceleration, 5% damped pseudo-spectral acceleration, and meta information related to hypocenter, path, site, and data processing. The seismic data used were the velocity and accelerogram data for events over ML 3.0 observed between 2003 and 2019 by the Korean National Seismic Network administered by the Korea Meteorological Administration. The final flat file contains 10,795 ground motion data items for 141 events. Although this study focuses mainly on organizing earthquake ground-motion waveforms and their data processing, it is thought that the study will contribute to reducing uncertainty in evaluating seismic hazard in the Korean Peninsula if detailed information about epicenters and stations is supplemented in the future.

In the event of an earthquake, non-structural components require seismic performance to ensure evacuation routes and to protect lives from falling non-structural components. Accordingly, the seismic design code proposes horizontal force for the design and evaluation of non-structural components. Ground motion observed on each floor is affected by a building's eigen vibration mode. Therefore, the earthquake damage of non-structural components is determined by the characteristics of the non-structural component system and the vibration characteristics of the building. Floor response spectra in the seismic design code are estimated through time history analysis using seismic waves. However, it is difficult to use floor response spectra as a design criterion because of user-specific uncertainties of time history analysis. In addition, considering the response characteristics of high-rise buildings to long-period ground motions, the safety factor of the proposed horizontal force may be low. Therefore, this study carried out the horizontal force review proposed in the seismic design code through dynamic analysis and evaluated the floor response of seismic waves considering buildings and predominant periods of seismic waves.

현재 우리나라에서 운영 중인 교량 중 30년 이상 된 교량이 전체의 약 11%를 차지할 정도로 노후교량의 수가 증가하고 있다. 따라 서 교량의 노후화에 따른 영향을 고려한 내진성능 평가방법의 개발이 필요하다고 볼 수 있다. 예제 교량으로는 포트받침, 탄성고무받 침과 납-고무받침을 가진 3가지의 강합성 상자형 거더교를 선정하고, opensees 프로그램을 사용하여 구조해석모델을 작성하였다. 본 연구에서는 교량의 노후도를 교각의 주철근과 띠철근의 부식에 의한 면적의 감소로 반영하였다. 교각의 노후화 정도로는 5%, 10%, 25%, 50%의 4가지 조건을 사용하였다. 입력지진으로는 근거리 지진과 원거리 지진을 각각 40개씩 사용하였으며, 노후화 정도에 따른 예제교량의 교각에 대한 최대변위와 최대 전단력 응답을 구하여 비교하였다. 노후도가 증가할수록 힘-변위 관계에서 교각의 강도 저하가 발생함을 알 수 있으며, 이로 인하여 교각의 변위응답이 증가함을 알 수 있다. 교각의 노후도에 따른 변위응답과 전단저항능력의 영향을 분석하기 위하여 변위비(Dratio)와 전단력비(Fratio)를 정의하여 평가하였다. 예제교량의 고유주기가 길어질수록 노후도에 따른 변위비(Dratio)의 증가가 크게 나타남을 알 수 있으며, 전단력비(Fratio)의 감소 경향은 작게 나타남을 알 수 있다.

본 논문에서는 모듈화(Module)된 부품을 활용한 탄성받침 성능개선기법에 대하여 소개하였다. 각각의 모듈화된 장치들이 지진 강도 및 이동 변위에 따른 단계별 거동을 함으로써 받침의 성능을 개선하게 된다. 모듈화된 장치들은 초기전단저항 블럭, 완충장치, 변위수용가이드, 낙교방지블럭이 있으며, 탄성받침에 추가적으로 적용되었다. 이 장치는 지진의 규모에 따라 4단계로 거동하며, 1차로 설계변위를 수용하고, 2차, 3차에서는 대규모 지진을 수용하며, 4차로는 대규모의 지진에 대해서 낙교방지가 가능하도록 설계되어 탄 성받침의 용량 제한을 증가시킨다. 본 논문에서는, 개발기술인 PRB 지진격리장치를 유한요소해석을 통해 해석하여 격리장치의 이론적인 거동이 구현되는지와, 대규모 지진에 해당하는 하중을 견딜 수 있는지 확인하였다. 그리고 이를 바탕으로 실험을 통해 성능평가를 진행하여 두 결과의 비교 분석을 통해 PRB 지진격리장치가 탄성받침의 성능을 개선할 수 있는지 검증하였다.

여러 센서를 이용한 구조물의 구조 응답을 모니터링하는 사례가 증가하고 있다. 그러나 비용과 관리 문제로 인해 제한된 센서만이 구조물에 설치되어 일부의 구조 응답만을 수집하는 경우가 대부분이다. 이는 구조물의 전체 거동을 분석하는데 장애요소로 작용하게 된다. 따라서 제한된 센서를 이용해 센서가 설치되지 않은 위치에서의 응답을 신뢰할 수 있는 수준으로 예측하는 기술이 필요하다. 본 연구에서는 제한된 정보를 이용해 저층 건물 구조물의 지진 응답을 예측하는 해석적 연구를 수행한다. 활용 가능한 응답 정보는 1층과 최상층의 가속도 응답만을 사용할 수 있다고 가정한다. 두 정보를 이용하면 구조물의 1차 고유진동수를 얻을 수 있다. 1층 가속도 정보는 구조물의 가력 정보로 활용한다. 최상층의 가속도이력응답에 대한 오차와 대상 구조물의 1차 고유진동수 오차를 최소화하는 구조물의 질량과 강성 정보를 유전자알고리즘을 이용해 예측하는 기법을 제시한다. 제약조건은 고려하지 않는다. 탐색공간을 의미하는 설계변수의 범위를 결정하기 위해 인공신경망 기반의 파라미터 예측기법을 제시한다. 또한 유전자알고리즘을 통해 얻게 되는 해를 개선시키기 위해 앞서 언급한 인공신경망을 활용한다. 제시한 기법을 검증하기 위해 5층 구조물 예제를 사용한다.

In a previous paper, ambient vibration tests were conducted on a cable stayed bridge with resilient-friction base isolation systems (R-FBI) to extract the dynamic characteristics of the bridge and compare the results with a seismic analysis model. In this paper, a nonlinear seismic analysis model was established for analysis of the bridge to compare the difference in seismic responses between nonlinear time history analysis and multi-mode spectral analysis methods in the seismic design phase of cable supported bridges. Through these studies, it was confirmed that the seismic design procedures of the “Korean Highway Bridge Design Code (Limit State Design) for Cable Supported Bridges” is not suitable for cable supported bridges installed with R-FBI. Therefore, to reflect the actual dynamic characteristics of the R-FBI installed on cable-supported bridges, an improved seismic design procedure is proposed that applies the seismic analysis method differently depending on the seismic isolation effect of the R-FBI for each seismic performance level.

In this study, a field bridge test was conducted to find the dynamic properties of cable supported bridges with resilient-friction base isolation systems (R-FBI). Various ambient vibration tests were performed to estimate dynamic properties of a test bridge using trucks in a non-transportation state before opening of the bridge and by ordinary traffic loadings about one year later after opening of the bridge. The dynamic properties found from the results of the tests were compared with an analysis model. From the result of the ambient vibration tests of the cable supported bridge with R-FBI, it was confirmed that the dynamic properties were sensitive to the stiffness of the R-FBI in the bridge, and the seismic analysis model of the test bridge using the effective stiffness of the R-FBI was insufficient for reflecting the dynamic behavior of the bridge. In the case of cable supported bridges, the seismic design must follow the “Korean Highway Bridge Design Code (Limit State Design) for Cable supported bridges.” Therefore, in order to reflect the actual behavior characteristics of the R-FBI installed on cable-supported bridges, an improved seismic design procedure should be proposed.

This study simulated strong ground motion waveforms in the southern Korean Peninsula, based on the physical earthquake modeling of the Southern California Earthquake Center (SCEC) BroadBand Platform (BBP). Characteristics of intensity attenuation were investigated for M 6.0-7.0 events, incorporating the site effects. The SCEC BBP is software generates broadband (0-10 Hz) ground-motion waveforms for earthquake scenarios. Among five available modeling methods in the v16.5 platform, we used the Song Model. Approximately 50 earthquake scenarios each were simulated for M 6.0, 6.5, and 7.0 events. Representative metrics such as peak ground acceleration (PGA) and peak ground velocity (PGV) were obtained from the synthetic waveforms that were simulated before and after the consideration of site effects (VS30). They were then empirically converted to distribution of instrumental intensity. The intensity that considers the site effects is amplified at low rather than high VS30 zones.

본 논문은 유한요소법과 유전알고리즘을 연동하여 지진하중을 받는 구조물의 강성저하(손상) 및 보강 후 효과를 추정하는 방법을 다루었다. 본 연구의 독창성은 지진하중을 적용하였고, 그 응답으로부터 구조물의 미지 변수를 추정한다는 점이다. 본 연구에서 제안한 방법은 지진하중으로부터 손상된 부위를 추정할 뿐 아니라, 그 위치와 정도를 규명할 수 있다. 제안한 방법을 검증하기 위하여 El Centro 및 포항 지진하중을 적용하여 저층 뼈대구조물와 트러스 교량을 대상으로 알고리즘을 실행하였다. 수치해석 예제는 제안한 방법이 수치해석적인 효율성 뿐 아니라 지진으로부터의 심각한 피해를 예방하는 데 적용할 수 있음을 보여주었다.

지진 하중에 의해 피해를 받는 교각의 보강을 위한 방법론과 다양성에 대한 연구가 활발히 진행되었지만, 단자유도에 대한 비선형 정적 분석에 대한 연구가 주로 수행되었으며, 교각을 구성하는 재료적 특성만이 변수로 간주되었다. 그러나, 교 각의 기하학적 요소와 보강 수단의 관계성에 관한 연구는 수행되지 않았다. 이에 본 연구에서는 CFRP 재킷을 사용하여 캘리포 니아에 존재하는 비 내진 상세 콘크리트 교량 교각을 보강하고 형상 변화에 따라 (교각 직경, 전단 경간 비, 보강 재킷의 길이) 교량 교각의 지진 취약성 곡선 도출하고 내진 성능을 평가하였다. 상기의 목표를 달성하기 위해 Opensees 프로그램를 사용하여 문헌에서 인용할 수 있는 실험체를 모델링하고 반복 하중을 가하여 결과 비교를 통해 해석방법의 적절성을 결정하였다.

Recently, deep learning that is the most popular and effective class of machine learning algorithms is widely applied to various industrial areas. A number of research on various topics about structural engineering was performed by using artificial neural networks, such as structural design optimization, vibration control and system identification etc. When nonlinear semi-active structural control devices are applied to building structure, a lot of computational effort is required to predict dynamic structural responses of finite element method (FEM) model for development of control algorithm. To solve this problem, an artificial neural network model was developed in this study. Among various deep learning algorithms, a recurrent neural network (RNN) was used to make the time history response prediction model. An RNN can retain state from one iteration to the next by using its own output as input for the next step. An eleven-story building structure with semi-active tuned mass damper (TMD) was used as an example structure. The semi-active TMD was composed of magnetorheological damper. Five historical earthquakes and five artificial ground motions were used as ground excitations for training of an RNN model. Another artificial ground motion that was not used for training was used for verification of the developed RNN model. Parametric studies on various hyper-parameters including number of hidden layers, sequence length, number of LSTM cells, etc. After appropriate training iteration of the RNN model with proper hyper-parameters, the RNN model for prediction of seismic responses of the building structure with semi-active TMD was developed. The developed RNN model can effectively provide very accurate seismic responses compared to the FEM model.

Analysis of the 2016 Gyeongju earthquake and the 2017 Pohang earthquake showed the characteristics of a typical high-frequency earthquake with many high-frequency components, short time strong motion duration, and large peak ground acceleration relative to the magnitude of the earthquake. Domestic nuclear power plants were designed and evaluated based on NRC's Regulatory Guide 1.60 design response spectrum, which had a great deal of energy in the low-frequency range. Therefore, nuclear power plants should carry out seismic verification and seismic performance evaluation of systems, structures, and components by reflecting the domestic characteristics of earthquakes. In this study, high-frequency amplification factors that can be used for seismic verification and seismic performance evaluation of nuclear power plant systems, structures, and equipment were analyzed. In order to analyze the high-frequency amplification factor, five sets of seismic time history were generated, which were matched with the uniform hazard response spectrum to reflect the characteristics of domestic earthquake motion. The nuclear power plant was subjected to seismic analysis for the construction of the Korean standard nuclear power plant, OPR1000, which is a reactor building, an auxiliary building assembly, a component cooling water heat exchanger building, and an essential service water building. Based on the results of the seismic analysis, a high-frequency amplification factor was derived upon the calculation of the floor response spectrum of the important locations of nuclear power plants. The high-frequency amplification factor can be effectively used for the seismic verification and seismic performance evaluation of electric equipment which are sensitive to high-frequency earthquakes.

In this study, we develop a sampling-based seismic probabilistic risk assessment (SPRA) quantification technique that can accurately consider a partially dependent condition of component seismic fragility information. Specifically, the SPRA quantification method is proposed by combining the advantages of two representative methodologies: EPRI seismic fragility and JAERI seismic fragility input-based quantification. The most important feature of the proposed method is that it performs a SPRA using a sampling technique by transforming the EPRI seismic fragility input into JAERI seismic fragility input. When the proposed sampling-based approach was applied to an example of simple system and to a SPRA problem of a nuclear power plant, it was observed that the proposed method yields approximately similar system seismic fragility and seismic risk results as those of the exact solution. Therefore, it is believed that the approach proposed in this study can be used as a useful tool for accurately assessing seismic risks, considering the partial seismic dependence among the components; the existing SPRA method cannot handle such partial dependencies.

경주지진과 포항지진으로 수도관 파열과 상수도관 누수가 보고되었다. 따라서 상수도 시설의 지진안전성 확보는 지속적이고 안정적인 물공급을 위하여 중요한 이슈이다. 상수도관은 주로 도로 하부나 일반 성토지반에 매설되어있기 때문에 지진파에 의한 변형뿐만 아니라, 지반의 영구변형, 사면의 불안정성 및 지반 액상화 등에 의한 배관의 굽힘 변형이 발생하게 된다. 이러한 배관의 굽힘 변형이 과도하게 발생 되면 배관 이음부 변위허용량을 초과하여 손상 및 누수로 이어지게 된다. 따라 서, 상수도관 이음부의 허용 변형각이 산출되어야 지진으로 인한 지반의 변형에 대하여 상수도관의 지진안전성을 정확하게 평가할 수 있다. 상수도 시스템은 현장 상황과 설치 여건에 따라 다양한 종류의 상수도관을 이용하고 있다. 그중 주철 상수도관은 오랜 기간 사용되고 개선되어 일반적으로 널리 사용되고 있다. 본 연구에서는 한국주철관공업(주)에서 제작한 EZ-LOK 조인트가 적용된 주철 상수도관에 대하여 4점 굽힘시험을 수행하였으며, 매설된 주철 상수도관의 내진 및 내침하 설계기준인을 참조하여 지진안전성을 평가하였다.

Recently, some of the most destructive earthquakes have occurred in South Korea since earthquake observations began in 1978. In particular, the soil liquefactions have been reported in Pohang as a result of the ML 5.4 earthquake that occurred in November 2017. Liquefaction-induced ground deformations can cause significant damage to a wide range of buildings and infrastructures. Therefore, it is necessary to take practical steps to ensure safety during an earthquake. In the current seismic design in South Korea, the Hachinohe earthquake and Ofunato earthquake recorded in Japan, along with artificial earthquakes, have been generally used for input motions in dynamic analyses. However, such strong ground motions are only from Japan, and artificial earthquake ground motions are different from real ground motions. In this study, seven ground motions are selected, including those recorded in South Korea, while others are compatible to the current design spectra of South Korea. The effects of the newly selected ground motions on site response analyses and liquefaction analyses are evaluated.

Seismic responses due to the dynamic coupling between a primary structure and secondary system connected to a structure are analyzed in this study. The seismic responses are compared based on dynamic coupling criteria and according to the error level in the natural frequency, with the recent criteria being reliant on the error level in the spectral displacement response. The acceleration responses and relative displacement responses of a primary structure and a secondary system for a coupled model and two different decoupled models of two degrees-of-freedom system are calculated by means of the time integration method. Errors in seismic responses of the uncoupled models are reduced with the recent criteria. As the natural frequency of the secondary system increases, error in the natural frequency decreases, but seismic responses of uncoupled models can be underestimated compared to that of coupled model. Results in this paper can help determine dynamic coupling and predict uncoupled models’ response conservatism.

This study aims to optimize the cochlea-inspired artificial filter bank (CAFB) using El-Centro seismic waveforms and test its performance through a shaking table test on a two-span bridge model. In the process of optimizing the CAFB, El-Centro seismic waveforms were used for the purpose of evaluating how they would affect the optimizing process. Next, the optimized CAFB was embedded in the developed wireless-based intelligent data acquisition (IDAQ) system to enable response measurement in real-time. For its performance evaluation to obtain a seismic response in real-time using the optimized CAFB, a two-span bridge (model structures) was installed in a large shaking table, and a seismic response experiment was carried out on it with El-Centro seismic waveforms. The CAFB optimized in this experiment was able to obtain the seismic response in real-time by compressing it using the embedded wireless-based IDAQ system while the obtained compressed signals were compared with the original signal (un-compressed signal). The results of the experiment showed that the compressed signals were superior to the raw signal in response performance, as well as in data compression effect. They also proved that the CAFB was able to compress response signals effectively in real-time even under seismic conditions. Therefore, this paper established that the CAFB optimized by being embedded in the wireless-based IDAQ system was an economical and efficient data compression sensing technology for measuring and monitoring the seismic response in real-time from structures based on the wireless sensor networks (WSNs).