구조물내응답스펙트럼 스케일링 근사 방법 개발 및 검증

곽신영,고채연,임승현,정재욱,최인길,Shinyoung Kwag,Chaeyeon Go,Seunghyun Eem,Jaewook Jung,In-Kil Choi 한국전산구조공학회 2024 한국전산구조공학회논문집 Vol.37 No.2

An in-structure response spectrum (ISRS) is required to evaluate the seismic performance of a nuclear power plant (NPP). However, when a new ISRS is required because of the change in the unique spectrum of an NPP site, considerable costs such as seismic response re-analyses are incurred. This study provides several approaches to generate approximate methods for ISRS scaling, which do not require seismic response re-analyses. The ISRSs derived using these approaches are compared to the original ISRS. The effect of the ISRS of the approximate method on the seismic response and seismic performance of one of the main systems of an NPP is analyzed. The ISRS scaling approximation methods presented in this study produce ISRSs that are relatively similar at low frequencies; however, the similarity decreases at high frequencies. The effect of the ISRS scaling approximate method on the calculation accuracy of the seismic response/seismic performance of the system is determined according to the degree of similarity in the calculation of the system's essential mode responses for the method.

연구용원자로에 대한 항공기 충돌 안전성 평가 및 대비설계의 적용성 고찰

곽신영,류정수,Kwag, Shinyoung,Ryu, Jeong-Soo 한국복합신소재구조학회 2014 복합신소재학회논문집 Vol.5 No.1

본 연구에서는 국내외 항공기 충돌에 대한 원자력발전소의 안전성 평가 및 규제 현황과 연구용원자로의 안전성 평가 및 규제 현황을 살펴보았다. 이러한 현황과 평가와 관련하여 연구용원자로에 적용할 수 있는 항공기 충돌 안전성 평가 및 대비설계 기준을 원자력발전소에 적용되는 기준을 기반으로 정리하였다. 본 연구를 바탕으로 후속되는 연구에서는 연구용원자로에 대한 실질적인 항공기 충돌 안전성 평가 및 대비설계 기준을 도출할 수 있으며, 평가 및 대비설계 방법을 상세히 정립할 수 있을 것이다. 결과적으로, 이를 바탕으로는 항공기 충돌에 대비한 연구용원자로 건물의 예비개념설계 모델을 개발할 수 있을 것으로 예상된다.

지진 재해도의 닫힌 근사식 제안에 관한 연구

곽신영,함대기 한국지진공학회 2018 한국지진공학회논문집 Vol.22 No.4

In this paper, we address some issues in existing seismic hazard closed-form equations and present a novel seismic hazard equation form to overcome these issues. The presented equation form is based on higher-order polynomials, which can well describe the seismic hazard information with relatively high non-linearity. The accuracy of the proposed form is illustrated not only in the seismic hazard data itself but also in estimating the annual probability of failure (APF) of the structural systems. For this purpose, the information on seismic hazard is used in representative areas of the United States (West : Los Angeles, Central : Memphis and Kansas, East : Charleston). Examples regarding the APF estimation are the analyses of existing platform structure and nuclear power plant problems. As a result of the numerical example analyses, it is confirmed that the higher-order-polynomial-based hazard form presented in this paper could predict the APF values of the two example structure systems as well as the given seismic hazard data relatively accurately compared with the existing closed-form hazard equations. Therefore, in the future, it is expected that we can derive a new improved APF function by combining the proposed hazard formula with the existing fragility equation.

Development of an earthquake-induced landslide risk assessment approach for nuclear power plants

곽신영,함대기 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.8

Despite recent advances in multi-hazard analysis, the complexity and inherent nature of such problemsmake quantification of the landslide effect in a probabilistic safety assessment (PSA) of NPPs challenging. Therefore, in this paper, a practical approach was presented for performing an earthquake-inducedlandslide PSA for NPPs subject to seismic hazard. To demonstrate the effectiveness of the proposedapproach, it was applied to Korean typical NPP in Korea as a numerical example. The assessment resultrevealed the quantitative probabilistic effects of peripheral slope failure and subsequent run-out effecton the risk of core damage frequency (CDF) of a NPP during the earthquake event. Parametric studieswere conducted to demonstrate how parameters for slope, and physical relation between the slope andNPP, changed the CDF risk of the NPP. Finally, based on these results, the effective strategies were suggestedto mitigate the CDF risk to the NPP resulting from the vulnerabilities inherent in adjacent slopes. The proposed approach can be expected to provide an effective framework for performing theearthquake-induced landslide PSA and decision support to increase NPP safety

추계학적 선형화 기법을 접목한 다목적 최적화기법에 의한 비선형 지진격리시스템의 최적설계

곽신영,옥승용,고현무 한국지진공학회 2010 한국지진공학회논문집 Vol.14 No.2

본 논문에서는 비선형 지진격리교량의 최적 설계 방법을 제시하였다. 최적설계를 위한 목적함수로는 교각과 지진격리장치의 파괴확률을 고려하였으며, 상충하는 두 목적함수를 동시에 최적화하는 다수의 해를 효율적으로 검색하고자 유전자 알고리즘에 기반한 다목적 최적화기법을 도입하였다. 또한, 최적화 과정에서 요구되는 다수의 비선형 시간이력해석을 수행하지 않고도 교량의 확률적 응답을 효율적으로 예측할 수 있는 추계학적 선형화 방법을 접목하였다. 제시하는 방법의 효율성을 검증하기 위한 수치 예로서 실제 교량인 남한강교를 고려하였고, 제안하는 방법과 기존 비선형 시간이력해석을 이용한 생애주기비용 기반 설계법을 각각 적용하여 내진성능을 비교하였다. 내진성능을 비교한 결과, 제시하는 방법이 기존의 비용에 기반한 최적설계보다 우수한 성능 및 경제성을 보임을 검증하였다. 또한, 다양한 지진하중에 대해서도 제안된 방법이 보다 개선된 성능을 보임을 확인하였다. This paper proposes an optimal design method for the nonlinear seismic isolated bridge. The probabilities of failure at the pier and the seismic isolator are considered as objective functions for optimal design, and a multi-objective optimization technique is employed to efficiently explore a set of multiple solutions optimizing mutually-conflicting objective functions at the same time. In addition, a stochastic linearization method is incorporated into the multi-objective optimization framework in order to effectively estimate the stochastic responses of the bridge without performing numerous nonlinear time history analyses during the optimization process. As a numerical example to demonstrate the efficiency of the proposed method, the Nam-Han river bridge is taken into account, and the proposed method and the existing life-cycle-cost based design method are both applied for the purpose of comparing their seismic performances. The comparative results demonstrate that the proposed method not only shows better seismic performance but also is more economical than the existing cost-based design method. The proposed method is also proven to guarantee improved performance under variations in seismic intensity, in bandwidth and in the predominant frequency of the seismic event.

동흡진기 적용을 통한 원전기기의 내진성능향상에 관한 수치적 연구

곽신영,곽진성,이환호,오진호,구경회 한국전산구조공학회 2019 한국전산구조공학회논문집 Vol.32 No.1

In this paper, we study the applicability of Tuned Mass Damper(TMD) to improve seismic performance of piping system under earthquake loading. For this purpose, a mode analysis of the target pipeline is performed, and TMD installation locations are selected as important modes with relatively large mass participation ratio in each direction. In order to design the TMD at selected positions, each corresponding mode is replaced with a SDOF damped model, and accordingly the corresponding pipeline is converted into a 2-DOF system by considering the TMD as a SDOF damped model. Then, optimal design values of the TMD, which can minimize the dynamic amplification factor of the transformed 2-DOF system, are derived through GA optimization method. The proposed TMD design values are applied to the pipeline numerical model to analyze seismic performance with and without TMD installation. As a result of numerical analyses, it is confirmed that the directional acceleration responses, the maximum normal stresses and directional reaction forces of the pipeline system are reduced, quite a lot. The results of this study are expected to be used as basic information with respect to the improvement of the seismic performance of the piping system in the future.

샘플링기반 지진 확률론적 리스크평가 접근법 개선을 위한 제언

곽신영,임승현,최유정,하정곤,함대기 한국전산구조공학회 2021 한국전산구조공학회논문집 Vol.34 No.2

원자력시설 SPRA 방법으로서 기기 사이 부분 종속 관계를 정확하게 고려하기 위하여 샘플링기반접근법이 개발된 바 있다. 그러나 이는 샘플링 기반 방법이므로 정확한 지진 리스크 산정을 위하여 많은 수의 샘플을 추출해야 하는 단점이 있다. 이에 따라 본 연구에서 는 기존 방법을 개선하기 위한 효과적인 방법을 제안한다. 본 연구에서 제안한 방법의 주요한 특징은 다음과 같다. 기존 샘플링방법인 몬테카를로샘플링(MCS) 방법을 대신하여 다차원에서 효과적인 샘플링이 가능한 라틴하이퍼큐브샘플링(LHS) 방법을 샘플링기반 SPRA에 도입한다. 또한, 기존 지진세기 세분화 정도를 최종 지진 리스크 결과와 연계하여 결정한다. 제안된 방법이 결합된 샘플링기반 SPRA 접근법을 실제 원전 예제에 적용한 결과, 제안된 방법이 기존의 방법과 비교하여 결과 정확도에 있어서 거의 비슷하나 총 샘플 추출수 기준에서 효율성을 약 2배 가량 높이 것을 확인하였다. 또한, 샘플링 개수가 적은 영역에서 LHS 기반 방법이 MCS 기반 방법보다는 해의 정확도를 높이는 것을 확인할 수 있었다. A sampling-based approach was devised as a nuclear seismic probabilistic risk assessment (SPRA) method to account for the partially correlated relationships between components. However, since this method is based on sampling, there is a limitation that a large number of samples must be extracted to estimate the results accurately. Thus, in this study, we suggest an effective approach to improve the existing sampling method. The main features of this approach are as follows. In place of the existing Monte Carlo sampling (MCS) approach, the Latin hypercube sampling (LHS) method that enables effective sampling in multiple dimensions is introduced to the SPRA method. In addition, the degree of segmentation of the seismic intensity is determined with respect to the final seismic risk result. By applying the suggested approach to an actual nuclear power plant as an example, the accuracy of the results were observed to be almost similar to those of the existing method, but the efficiency was increased by a factor of two in terms of the total number of samples extracted. In addition, it was confirmed that the LHS-based method improves the accuracy of the solution in a small sampling region.

Shaking table test and numerical analysis of nuclear piping under low- and high-frequency earthquake motions

곽신영,임승현,곽진성,이환호,오진호,구경회,장성진,전법규 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.9

A nuclear power plant (NPP) piping is designed against low-frequency earthquakes. However, earthquakes that can occur at NPP sites in the eastern part of the United States, northern Europe, and Korea are high-frequency earthquakes. Therefore, this study conducts bi-directional shaking table tests on actualscale NPP piping and studies the response characteristics of low- and high-frequency earthquake motions. Such response characteristics are analyzed by comparing several responses that occur in the piping. Also, based on the test results, a piping numerical analysis model is developed and validated. The piping seismic performance under high-frequency earthquakes is derived. Consequently, the highfrequency excitation caused a large amplification in the measured peak acceleration responses compared to the low-frequency excitation. Conversely, concerning relative displacements, strains, and normal stresses, low-frequency excitation responses were larger than high-frequency excitation responses. Main peak relative displacements and peak normal stresses were 60%e69% and 24%e49% smaller in the high-frequency earthquake response than the low-frequency earthquake response. This phenomenon was noticeable when the earthquake motion intensity was large. The piping numerical model simulated the main natural frequencies and relative displacement responses well. Finally, for the stress limit state, the seismic performance for high-frequency earthquakes was about 2.7 times greater than for low-frequency earthquakes

Improvement on optimal design of dynamic absorber for enhancing seismic performance of nuclear piping using adaptive Kriging method

곽신영,임승현,곽진성,이환호,오진호,구경회 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.5

For improving the seismic performance of the nuclear power plant (NPP) piping system, attempts havebeen made to apply a dynamic absorber (DA). However, the current piping DA design method is limitedbecause it cannot provide the globally optimum values for the target design seismic loading. Therefore,this study proposes a seismic time history analysis-based DA optimal design method for piping. To thisend, the Kriging approach is introduced to reduce the numerical cost required for seismic time historyanalyses. The appropriate design of the experiment method is used to increase the efficiency in securingresponse data. A gradient-based method is used to efficiently deal with the multi-dimensional unconstrained optimization problem of the DA optimal design. As a result, the proposed method showed anexcellent response reduction effect in several responses compared to other optimal design methods. Theproposed method showed that the average response reduction rate was about 9% less at the maximumacceleration, about 5% less at the maximum value of the response spectrum, about 9% less at themaximum relative displacement, and about 4% less at the maximum combined stress compared toexisting optimal design methods. Therefore, the proposed method enables an effective optimal DA designmethod for mitigating seismic response in NPP piping in the future

인공신경망 기법을 이용한 사면의 내진성능평가 모델 제안

곽신영,함대기 한국전산구조공학회 2019 한국전산구조공학회논문집 Vol.32 No.2

이 연구의 목적은 인공신경망 기법을 이용하여 사면의 내진 성능을 비교적 정확하면서도 효율적으로 예측하는 모델을 도 출하는데 있다. 사면의 내진 성능은 지진입력 및 사면모델의 무작위성 및 불확실성으로 인하여 정량화하기 쉽지 않다. 이러한 배경 아래 사면에 대한 확률론적 지진 취약도 분석이 몇몇 연구자에 의해 수행되었고, 이를 기반으로 다중 선형회귀분석 을 통하여 사면 내진성능에 대한 닫힌식이 제안된 바 있다. 그러나 전통적인 통계학적 선형회귀분석은 다양한 조건의 사면과 이에 따른 내진 성능 사이의 비선형적 관계를 정확하게 표현하지 못하는 한계를 보였다. 이에 따라 본 연구에서는 이러한 문제점을 극복하고자 인공신경망 기법을 사면 내진성능 예측 모델을 생성하는데 적용하였다. 도출된 모델의 유효성은 기존 의 다중 선형 및 다중 비선형 회귀분석을 통한 모델과 비교하여 검증하였다. 결과적으로 이전 연구의 전통적인 통계학적 회귀 분석을 통한 모델과 비교 결과, 기본적으로 인공신경망 기법을 통하여 도출된 모델이 사면의 내진성능을 예측하는데 있어 우수한 성능을 보여주었다. 이러한 정확도 높은 모델은 향후 확률에 기반한 사면의 지진취약도 지도를 개발하고, 주요 구 조물의 인근 사면으로 인한 리스크를 효과적으로 평가하는데 활용될 수 있을 것이라 기대된다. The objective of this study is to develop a model which can predict the seismic performance of the slope relatively accurately and efficiently by using artificial neural network(ANN) technique. The quantification of such the seismic performance of the slope is not easy task due to the randomness and the uncertainty of the earthquake input and slope model. Under these circumstances, probabilistic seismic fragility analyses of slope have been carried out by several researchers, and a closed-form equation for slope seismic performance was proposed through a multiple linear regression analysis. However, a traditional statistical linear regression analysis has shown a limit that cannot accurately represent the nonlinearistic relationship between the slope of various conditions and seismic performance. In order to overcome these problems, in this study, we attempted to apply the ANN to generate prediction models of the seismic performance of the slope. The validity of the derived model was verified by comparing this with the conventional multi-linear and multi-nonlinear regression models. As a result, the models obtained through the ANN basically showed excellent performance in predicting the seismic performance of the slope, compared to the models obtained by the statistical regression analyses of the previous study.