Joystick Model-based Fragility Analysis of Process Tower Considering Structural Damage

Se-Hyeok Lee; Euihyun Choi; Sang-ri Yi

doi:10.7734/COSEIK.2025.38.6.381

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2025 Vol.38, Issue 6 Preview Page Next Page

Research Paper

Joystick Model-based Fragility Analysis of Process Tower Considering Structural Damage 조이스틱 모델 기반 구조 손상을 고려한 증류탑 취약도 분석

31 December 2025. pp. 381-388

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Abstract

A fault tree-based Bayesian Network methodology has recently been developed to perform the probabilistic safety assessment (PSA) of plant systems under seismic hazards. Conducting such assessments requires reliable seismic fragility curves for structures and equipment, some of which are provided by the Federal Emergency Management Agency (FEMA). However, this information is limited in scope and do not adequately represent the wide variety of equipment used in industrial plants. For example, even when redundant facilities are installed to ensure operational continuity of a plant, the same fragility information is often applied uniformly without accounting for the individualized structural conditions. Consequently, the resolution risk assessment outcomes is reduced, limiting informative decision-making. To address this issue, this study selects a distillation tower (one of the key facilities in petrochemical plants) and develops a joystick-type model capable of simulating its damage mechanisms. Three seismic fragility assessment methods, namely multiple stripe analysis (MSA), incremental dynamic analysis (IDA), and cloud analysis, are briefly introduced, and fragility curves are derived for the selected example using each method. The results indicate that the differences among the three methods are relatively small. Furthermore, fragility curves were derived by assuming structural damage scenarios such as anchor rupture. The results confirmed that facility-specific fragility curves are required depending on the structural condition of each facility.

Keywords

process-plant

distillation tower

joystick model

fragility curve

anchor Rupture

지진에 대한 플랜트 시스템의 확률론적 안전성 평가(Probabilistic Safety Assessment, PSA)를 수행하기 위해 고장수목(Fault Tree) 기반의 베이지안 네트워크(Bayesian Network, BN) 방법론이 제안된 바 있다. 해당 PSA를 수행하기 위해서는 구조물 및 설비들의 지진 취약도 곡선 정보는 필수적이며, 해당 정보는 Federal Emergency Management Agency(FEMA)에서 일부 제공하고 있다. 그러나 다양한 종류의 설비에 비해 제공되는 정보는 매우 제한적이며, 특히 플랜트 운영지속성을 위해 여분의 설비가 배치된 경우에도 개별 설비의 구조적 상태가 반영되지 못하고 같은 정보가 사용되어, 결과적으로 일률적인 리스크 평가와 제한적인 의사결정만이 이루어질 수 있음을 확인하였다. 따라서 본 연구에서는 플랜트의 여러 주요 설비 중 석유화학 플랜트의 증류탑을 선정하고, 증류탑의 손상 메커니즘을 모사 가능한 조이스틱 모델을 구축하였다. 이와 더불어 지진 취약도 해석 기법 세가지(다중띠해석, 증분독적해석, 산점도분석법)에 대해 간략히 설명하고 주어진 예제에 대해 각 기법을 이용하여 취약도 곡선을 도출하였다. 도출된 결과에서 세기법의 차이가 크지 않음을 확인하였고, 앵커 파단과 같은 구조적 손상 시나리오를 가정하여 취약도를 도출하였는데, 이 결과를 토대로 개별 설비의 구조적 상태에 따라 상이한 취약도 곡선이 필요함을 확인할 수 있었다.

키워드

산업시설물

증류탑

조이스틱 모델

취약도 곡선

앵커 파단

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Information

Publisher :Computational Structural Engineering Institute of Korea
Publisher(Ko) :한국전산구조공학회
Journal Title :Journal of the Computational Structural Engineering Institute of Korea
Journal Title(Ko) :한국전산구조공학회 논문집
Volume : 38
No :6
Pages :381-388
Received Date : 2025-09-12
Revised Date : 2025-09-27
Accepted Date : 2025-09-29
DOI :https://doi.org/10.7734/COSEIK.2025.38.6.381

Journal of the Computational Structural Engineering Institute of Korea ISSN:1229-3059(Print) 2287-2302(Online) 한국전산구조공학회 논문집

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