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    Seismic Resilience Assessment and Improvement of a Containerized Edge Data Center: A Quantitative Framework

    Source: Natural Hazards Review:;2025:;Volume ( 026 ):;issue: 001::page 04024047-1
    Author:
    Haopeng Zuo
    ,
    Qingxue Shang
    ,
    Guoliang Sun
    ,
    Zhen Li
    ,
    Jichao Li
    ,
    Chenxi Mao
    ,
    Tao Wang
    DOI: 10.1061/NHREFO.NHENG-2161
    Publisher: American Society of Civil Engineers
    Abstract: A containerized edge data center (CEDC) is a critical node of the 5G telecommunication network. It is essential to maintain the functionality of CEDCs during and after earthquakes. A probabilistic seismic resilience assessment framework was developed to evaluate the postearthquake functionality and seismic resilience of a CEDC. Five subsystems ensure the CEDC’s functionality: the structural, power distribution, air conditioning, computing, and monitoring subsystems. The subsystems’ normal operation depends on several components. The functional relationships between the components of the five subsystems were analyzed. Fault tree models of the five subsystems were developed, and success path analysis was used to establish a state tree model of the CEDC. The seismic fragility and repair models of the CEDC’s fundamental components were obtained from numerical analysis and data from the literature. State tree analysis and Monte Carlo simulations were conducted to quantify the postearthquake residual functionality and generate seismic resilience curves for the CEDC. The effects of different resilience improvement strategies were evaluated and incorporated into the proposed framework. A CEDC case study was conducted to demonstrate the proposed framework’s feasibility.
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      Seismic Resilience Assessment and Improvement of a Containerized Edge Data Center: A Quantitative Framework

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4303881
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    contributor authorHaopeng Zuo
    contributor authorQingxue Shang
    contributor authorGuoliang Sun
    contributor authorZhen Li
    contributor authorJichao Li
    contributor authorChenxi Mao
    contributor authorTao Wang
    date accessioned2025-04-20T10:02:24Z
    date available2025-04-20T10:02:24Z
    date copyright10/8/2024 12:00:00 AM
    date issued2025
    identifier otherNHREFO.NHENG-2161.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303881
    description abstractA containerized edge data center (CEDC) is a critical node of the 5G telecommunication network. It is essential to maintain the functionality of CEDCs during and after earthquakes. A probabilistic seismic resilience assessment framework was developed to evaluate the postearthquake functionality and seismic resilience of a CEDC. Five subsystems ensure the CEDC’s functionality: the structural, power distribution, air conditioning, computing, and monitoring subsystems. The subsystems’ normal operation depends on several components. The functional relationships between the components of the five subsystems were analyzed. Fault tree models of the five subsystems were developed, and success path analysis was used to establish a state tree model of the CEDC. The seismic fragility and repair models of the CEDC’s fundamental components were obtained from numerical analysis and data from the literature. State tree analysis and Monte Carlo simulations were conducted to quantify the postearthquake residual functionality and generate seismic resilience curves for the CEDC. The effects of different resilience improvement strategies were evaluated and incorporated into the proposed framework. A CEDC case study was conducted to demonstrate the proposed framework’s feasibility.
    publisherAmerican Society of Civil Engineers
    titleSeismic Resilience Assessment and Improvement of a Containerized Edge Data Center: A Quantitative Framework
    typeJournal Article
    journal volume26
    journal issue1
    journal titleNatural Hazards Review
    identifier doi10.1061/NHREFO.NHENG-2161
    journal fristpage04024047-1
    journal lastpage04024047-14
    page14
    treeNatural Hazards Review:;2025:;Volume ( 026 ):;issue: 001
    contenttypeFulltext
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