Evaluation of Buildings’ and Infrastructures’ Performance and Analysis of Seismic and Naturally Induced Disasters

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 871

Special Issue Editors


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Department of Civil Environmental Engineering and Architecture, University of Cagliari, 09124 Cagliari, Italy
Interests: safety assessment of cultural heritage; innovation in precast civil structures; fiber-reinforced polymers
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Department of Architecture (DiDA), Università degli Studi di Firenze, 50121 Firenze, Italy
Interests: seismic performance of irregular structure; seismic vulnerability of historic buildings and monuments; methods and procedures for mechanical characterization of materials
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Department of Civil Engineering, Aalto University, 02150 Espoo, Finland
Interests: capacity evaluation of existing infrastructures; machine learning

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Department of Civil and Industrial Engineering, University of Pisa, 56122 Pisa, Italy
Interests: climate change; structural safety; eurocodes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Buildings and infrastructures are subject to aging, natural hazards, improper design, and environmental risks. This Special Issue aims to promote contributions both on the evaluation of the residual capacity of civil works and infrastructures and those exploring solutions to mitigate the effect of natural hazards through integrated and sustainable strategies. The contributions should consider the ongoing effects of climate change or promote innovative strategies to mitigate risks. Research on new design strategies, modern architectural and structural concepts for the new structures, machine learning, innovation in material technology or construction chain, or the retrofit of the ancient and traditional structures will be considered for publication.

Dr. Mario Lucio Puppio
Dr. Marco Tanganelli
Dr. Zhenkun Li
Dr. Filippo Landi
Guest Editors

Manuscript Submission Information

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Keywords

  • natural hazard
  • seismic risks
  • environmental risks
  • new design strategies
  • innovation in civil engineering

Published Papers (1 paper)

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Research

20 pages, 7506 KiB  
Article
Fragility and Leakage Risk Assessment of Nuclear Containment Structure under Loss-of-Coolant Accident Conditions Considering Liner Corrosion
by Xinbo Li and Jinxin Gong
Appl. Sci. 2024, 14(6), 2407; https://doi.org/10.3390/app14062407 - 13 Mar 2024
Viewed by 409
Abstract
The steel liner plays a key role in ensuring the leak-tightness of nuclear containment structures (NCSs). Once the liner is subjected to corrosion, its corrosion effects can severely impact the leak-tight function of the NCS, especially in severe accident scenarios. Therefore, evaluating the [...] Read more.
The steel liner plays a key role in ensuring the leak-tightness of nuclear containment structures (NCSs). Once the liner is subjected to corrosion, its corrosion effects can severely impact the leak-tight function of the NCS, especially in severe accident scenarios. Therefore, evaluating the corrosion effects of the liner is essential to guaranteeing the safe operation of nuclear power plants. This paper presents a probabilistic safety analysis of the NCS under liner corrosion conditions. Firstly, the corrosion mechanism of the liner is elucidated, and a refined simulation method is developed to investigate the localized corrosion effects of the liner. Utilizing a probabilistic finite element method, the fragility of the NCS under loss-of-coolant accident (LOCA) conditions is evaluated. Finally, the leakage risk of the NCS at different degrees of liner corrosion is discussed. The results indicate that liner corrosion has a significant impact on the median pressure capacity and high-confidence–low-probability pressure capacity of the NCS. With the aggravation of liner corrosion, the safety margin of the NCS decreases, and the total probability of failure increases. Within the scope of this paper, the NCS can fulfill the probabilistic safety requirements. Full article
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