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Applied Sciences
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Advances in Risk and Reliability Analysis
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Advances in Risk and Reliability Analysis

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (31 January 2025) | Viewed by 2556

Special Issue Editor

Dr. Jianlan Zhou

E-Mail Website
Guest Editor
School of Artificial Intelligence & Automation, Huazhong University of Science & Technology, Wuhan 430074, China
Interests: human error assessment; human reliability analysis; decision making; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The main objective of this Special Issue is to help reliability analysts/engineers/managers/practitioners to analyze the failure behavior of a system more consistently and logically. To this effect, methodological and structured frameworks should make use of both qualitative and quantitative techniques for risk, reliability, and vulnerability analysis of the system. For the quantitative framework, various artificial intelligence techniques and expert judgment methods, e.g., Bayesian networks, long short-term memory networks, failure mode and effect analysis, fuzzy and Grey relational analysis, and the success likelihood index method, have been presented to measure the failure rate or risk metric of the system. Several versions of these methods have evolved considering varying dynamics, fuzzy, and processes of a system when evaluating the risk and reliability.

Dr. Jianlan Zhou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human reliability analysis
  • human error assessment
  • error chains
  • risk management
  • risk analysis
  • risk evaluation
  • vulnerability assessment
  • resilience

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Published Papers (2 papers)

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Research

21 pages, 2174 KiB  
Article
Safety Risk Assessment Method of In-Service Stage Suspension Equipment Based on Grey Fuzzy Comprehensive Evaluation
by Zhibin Su, Xueying Zhang, Huiqin Wang and Jingjing Zhang
Appl. Sci. 2024, 14(23), 10998; https://doi.org/10.3390/app142310998 - 26 Nov 2024
Viewed by 733
Abstract
Performance safety is one of the important goals for the high-quality development of modern performance services. The in-service stage suspension equipment that has been put into use is one of the most frequently used and most closely related stage machinery in performances, and [...] Read more.
Performance safety is one of the important goals for the high-quality development of modern performance services. The in-service stage suspension equipment that has been put into use is one of the most frequently used and most closely related stage machinery in performances, and there are often significant safety hazards during its use. In response to the current lack of safety risk assessment methods and incomplete assessment techniques for in-service stage suspension equipment, this paper proposes a safety risk assessment method for in-service stage suspension equipment based on grey fuzzy comprehensive evaluation, with professional theaters as the target scenario. This method first identifies risk factors based on Failure Mode and Effects Analysis (FMEA), then uses the grey relational analysis (GRA) method for risk factor analysis, and finally adopts the fuzzy comprehensive evaluation (FCE) method to achieve safety risk level assessment. By constructing and analyzing an evaluation model for professional theater stage suspension equipment, the safety risk levels and corresponding safety risk factor rankings of performance accidents such as electric shock, falling, and failure can be obtained, and measures to reduce risks can be provided based on the most important risk factors. The research results show that more attention should be paid to the influence of human factors in the safety assessment and detection of in-service stage suspension systems. The research in this article is of great significance for improving the safe use of in-service stage suspension equipment, enhancing the level of performance safety management, and improving the quality of performance equipment services, laying the foundation for the formation of relevant regulatory systems and standards. Full article
(This article belongs to the Special Issue Advances in Risk and Reliability Analysis)
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13 pages, 6687 KiB  
Article
An Investigation on the Pore Structure Characterization of Sandstone Using a Scanning Electron Microscope and an Online Nuclear Magnetic Resonance System
by Bo Tian, Xuexiang Deng, Congwang Pan and Xiangxi Meng
Appl. Sci. 2024, 14(16), 7063; https://doi.org/10.3390/app14167063 - 12 Aug 2024
Viewed by 1264
Abstract
The micropore structure of porous media (such as natural rocks and man-made materials) is very complex and has strong micro heterogeneity, and pore structure is a critical parameter to estimate the rock quality. However, the pore structure characterization of rocks under load is [...] Read more.
The micropore structure of porous media (such as natural rocks and man-made materials) is very complex and has strong micro heterogeneity, and pore structure is a critical parameter to estimate the rock quality. However, the pore structure characterization of rocks under load is not studied well. In this paper, sandstone specimens were preloaded to six different stress levels, and then the pore structure of rock was characterized by SEM and NMR, respectively. The results show the following: (1) The damage in sandstone increases with predefined stress, and the rate significantly increases over 0.8 uniaxial compressive strength (UCS). (2) There is a critical value in the process of rock damage (0.8 UCS), and when it is less than this critical value, the microstructure in the rock is mainly composed of pores and micro-cracks, and the length is generally less than 5 μm; when it exceeds the critical value, there are obvious cracks or even groups of cracks inside the rock. (3) The changes in porosity can be divided into three stages, showing a “√” shape tendency. (4) The pore structure can be visually presented using NMR and SEM, and the distribution mode of the pores changes from separated points to concentrated patches to finally interconnected networks of pores with an increase in the predefined stress. Overall, NMR provides a new method for characterizing rock damage and studying rock microstructure. Full article
(This article belongs to the Special Issue Advances in Risk and Reliability Analysis)
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