Reliability Engineering & System Safety最新文献_第7页

Connectivity-based seismic design strategy for bridge networks by controlling fragility correlation among individual bridges 基于连通性的桥梁网络抗震设计策略——控制单桥间易损性关联

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-26 DOI: 10.1016/j.ress.2025.112161

Haiqiang Zhong , Mitsuyoshi Akiyama , Shengming Feng , Zhiqiang Wang , Xinzhi Dang

The seismic connectivity of bridge networks, crucial for post-earthquake relief and reconstruction, is strongly affected by the fragility correlation among bridges, which is largely attributed to their similar dynamic characteristics. Previous research merely evaluated the effect of this correlation without addressing its control. This study proposes a connectivity-based seismic design strategy that adjusts design parameters to enhance and reduce fragility correlation on the same and different paths, respectively, while ensuring the bridge safety against the design seismic action. A design method is established, which involves identifying network information, deriving fragility and correlation models regarding bridge design parameters and site-specific earthquake conditions, and designing bridges within the network using these models. This method is demonstrated on a hypothetical network including bridges with isolation bearings. The results show that the fragility correlation mainly arises from the correlated demand related to dynamic characteristics, and impacts connectivity more than the bridge performance. The fragility and correlation of bridges are affected by seismic input angles and bearing parameters, and can be controlled by altering the latter based on the corresponding models. Compared to the network design focusing on fragility reduction, the proposed strategy effectively achieves higher connectivity reliability with lower costs for bridge improvements.

桥梁网络的地震连通性对震后救援和重建至关重要，它受到桥梁间易损性相关性的强烈影响，这在很大程度上归因于桥梁之间相似的动力特性。以前的研究仅仅评估了这种相关性的影响，而没有解决其控制问题。本研究提出了一种基于连通性的抗震设计策略，通过调整设计参数，分别增强和减少相同路径和不同路径上的易损性相关性，同时确保桥梁在设计地震作用下的安全性。建立了识别网络信息，推导桥梁设计参数和场地地震条件下的易损性模型和相关模型，并利用这些模型进行网内桥梁设计的设计方法。该方法在一个假设的网络中进行了验证，其中包括带有隔离轴承的桥梁。结果表明，脆性相关性主要来源于与动力特性相关的相关需求，对连通性的影响大于对桥梁性能的影响。桥梁的易损性和相关性受地震输入角和支座参数的影响，可以根据相应的模型改变支座参数来控制桥梁的易损性和相关性。与注重降低脆弱性的网络设计相比，该策略以较低的网桥改进成本有效地实现了更高的连接可靠性。

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引用次数: 0

Adaptive blockchain task sharding for reliable V2X incident management 用于可靠V2X事件管理的自适应区块链任务分片

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-26 DOI: 10.1016/j.ress.2025.112148

Meng Feng , Chunming He , Xiaoliang Wang , Lianbao Yang , Pengfei Hu

Autonomous vehicles and intelligent transportation systems (ITS) are becoming a reality, demanding secure and reliable incident management. Blockchain has emerged as a promising solution for ensuring data integrity and traceability. However, integrating blockchain into V2X systems poses real-time processing system reliability challenges, as Roadside Units (RSUs) must simultaneously support latency-sensitive services and resource-intensive consensus protocols. These concurrent demands risk overloading RSUs and compromising system reliability, especially in safety-critical scenarios.

In this paper, we propose a task-sharding mechanism for blockchain-integrated V2X incident management. Our method comprehensively shards both blockchain operations and V2X services, leveraging Software-Defined RSUs (SD-RSUs) to allocate resources to distinct service shards. Since RSUs handle varying data processing loads for tasks with different urgency levels, we introduce a QoS-driven role assignment algorithm that accounts for fluctuating workloads and service-specific latency constraints, taking into account practical deployment considerations.

The proposed framework is validated using existing RSU deployments, real-world V2X incident data, and city-scale simulations. Results show significant improvements in processing efficiency, reduced latency, and reliable operation under load. These findings confirm the method’s practical potential for improving safety and resilience in large-scale ITS deployments.

自动驾驶汽车和智能交通系统（ITS）正在成为现实，这需要安全可靠的事件管理。区块链已成为确保数据完整性和可追溯性的一种很有前途的解决方案。然而，将区块链集成到V2X系统中会给实时处理系统的可靠性带来挑战，因为路边单元（rsu）必须同时支持延迟敏感型服务和资源密集型共识协议。这些并发的需求有可能使rsu过载并损害系统可靠性，特别是在安全关键场景中。在本文中，我们提出了一种用于区块链集成V2X事件管理的任务分片机制。我们的方法将区块链操作和V2X服务全面分片，利用软件定义rsu （sd - rsu）将资源分配给不同的服务分片。由于rsu为具有不同紧急级别的任务处理不同的数据处理负载，因此我们引入了qos驱动的角色分配算法，该算法考虑了波动的工作负载和特定于服务的延迟约束，并考虑了实际部署考虑。使用现有的RSU部署、真实的V2X事件数据和城市规模的模拟验证了所提出的框架。结果显示，处理效率显著提高，延迟减少，负载下运行可靠。这些发现证实了该方法在提高大规模ITS部署的安全性和弹性方面的实际潜力。

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引用次数: 0

Optimistic and pessimistic reliability performance assessment approaches for reconfigurable manufacturing systems 可重构制造系统的乐观与悲观可靠性性能评估方法

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-25 DOI: 10.1016/j.ress.2025.112147

Tian Zhang, Lazhar Homri, Jean-Yves Dantan, Ali Siadat

The importance of assessing the reliability of a complex system paradigm such as a reconfigurable manufacturing system arises from its relationship with quality, efficiency, flexibility, complexity, safety and application. However, during practical reliability analysis of a reconfigurable manufacturing system, epistemic uncertainty can emerge since the degradation information of the complex system can be insufficient, making it critical to develop a response approach. Therefore, this study develops an approach which takes into account the two extreme possibilities - optimistic and pessimistic - to set the boundary for the reliability performance of the system. The approach is proposed specifically for a reconfigurable manufacturing system with variable configuration orders. The optimistic assessment assumes that the system does not have a usage history when reconfigured with a new tool. In contrast, the pessimistic assessment assumes that the usage history has full impact on the newly reconfigured system. An algorithm is developed for the optimistic and pessimistic assessment model based on Monte Carlo simulation. The simulation result demonstrates the ability of the approach to analyze different levels of optimism and pessimism, and to quantify the uncertainty of reliability performance of a reconfigurable manufacturing system.

评估复杂系统范例（如可重构制造系统）可靠性的重要性源于其与质量、效率、灵活性、复杂性、安全性和应用的关系。然而，在可重构制造系统的实际可靠性分析过程中，由于复杂系统的退化信息不足，可能会出现认知不确定性，这使得开发响应方法变得至关重要。因此，本研究提出了一种考虑乐观和悲观两种极端可能性的方法来设定系统可靠性性能的边界。针对具有可变配置订单的可重构制造系统，提出了该方法。乐观评估假设系统在使用新工具重新配置时没有使用历史记录。相反，悲观的评估假设使用历史对新重新配置的系统有完全的影响。提出了一种基于蒙特卡罗仿真的乐观和悲观评估模型的算法。仿真结果表明，该方法能够分析不同程度的乐观和悲观情绪，并量化可重构制造系统可靠性性能的不确定性。

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引用次数: 0

Multi-point Bayesian active learning line sampling for rare event estimation 针对罕见事件估计的多点贝叶斯主动学习线抽样

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-25 DOI: 10.1016/j.ress.2025.112136

Pei Pei , Tong Zhou , Xujia Zhu , Tong Guo , Ser Tong Quek

Despite line sampling (LS), integrated with active learning, being recognized as appealing for rare event estimation, how to achieve higher computational efficiency remains open. This paper presents a first attempt at casting LS from a multi-point Bayesian active learning perspective, which is featured by the following three key contributions. (i) Quantification. A provable metric called relaxed upper bound of posterior variance (RUPV) is analytically derived from Bayesian inference of failure probability estimated using LS, which quantifies the maximal possible epistemic uncertainty of failure probability. (ii) Reduction. A multi-point look-ahead learning function called relaxed upper bound of posterior variance reduction (RUPVR) is analytically deduced, aimed at selecting a batch of K ( ≥ 1) new samples that maximally reduces RUPV. (iii) Maximization. The batch enrichment is directly conducted by stepwise maximization of RUPVR. In addition, both the update of important direction and the line processing procedure embedded in LS are customized to embrace fast batch enrichment. Five examples are studied to test the performance of the proposed method, where comparisons are made against several existing reliability methods. Results indicate that the proposed method is capable of evaluating small failure probabilities with desired accuracy and higher efficiency. Finally, the limitations, applicability, and future directions of the proposed method are clarified.

尽管与主动学习相结合的行抽样（LS）被认为是罕见事件估计的吸引力，但如何实现更高的计算效率仍然是一个开放的问题。本文首次尝试从多点贝叶斯主动学习的角度来投射LS，其特点是以下三个关键贡献。(我)量化。通过对LS估计的故障概率的贝叶斯推理，导出了一个可证明的度量，即后验方差的松弛上界（RUPV），它量化了故障概率的最大可能认知不确定性。(2)减少。分析推导了一种称为后验方差缩减的松弛上界（RUPVR）的多点前瞻性学习函数，目的是选择一批K（ ≥ 1）个新样本，最大限度地降低RUPV。(3)最大化。通过RUPVR的逐步最大化直接进行批量富集。此外，LS中嵌入的重要方向更新和行处理程序都进行了定制，以实现快速批量富集。研究了五个实例来测试所提出方法的性能，并与现有的几种可靠性方法进行了比较。结果表明，该方法能够以较高的效率和较高的精度评估小的失效概率。最后，阐明了该方法的局限性、适用性和未来发展方向。

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引用次数: 0

Time-Vertex machine learning for optimal sensor placement in temporal graph signals: Applications in structural health monitoring 时间顶点机器学习在时间图信号中优化传感器位置：在结构健康监测中的应用

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-25 DOI: 10.1016/j.ress.2025.112153

Keivan Faghih Niresi, Jun Qing, Mengjie Zhao, Olga Fink

Structural Health Monitoring (SHM) plays a crucial role in maintaining the safety and resilience of infrastructure. As sensor networks grow in scale and complexity, identifying the most informative sensors becomes essential to reduce deployment costs without compromising monitoring quality. While Graph Signal Processing (GSP) has shown promise by leveraging spatial correlations among sensor nodes, conventional approaches often overlook the temporal dynamics of structural behavior. To overcome this limitation, we propose Time-Vertex Machine Learning (TVML), a novel framework that integrates GSP, time-domain analysis, and machine learning to enable interpretable and efficient sensor placement by identifying representative nodes that minimize redundancy while preserving critical information. We evaluate the proposed approach on two bridge datasets for damage detection and time-varying graph signal reconstruction tasks. The results demonstrate the effectiveness of our approach in enhancing SHM systems by providing a robust, adaptive, and efficient solution for sensor placement.

结构健康监测（SHM）在维护基础设施的安全性和弹性方面起着至关重要的作用。随着传感器网络的规模和复杂性不断增长，在不影响监测质量的情况下，识别信息最丰富的传感器对于降低部署成本至关重要。虽然图形信号处理（GSP）通过利用传感器节点之间的空间相关性显示出前景，但传统方法往往忽略了结构行为的时间动态。为了克服这一限制，我们提出了时间-顶点机器学习（TVML），这是一个集成了GSP、时域分析和机器学习的新框架，通过识别具有代表性的节点，在保留关键信息的同时最大限度地减少冗余，从而实现可解释和有效的传感器放置。我们对两个桥梁数据集的损伤检测和时变图信号重建任务进行了评估。结果表明，我们的方法通过提供一个强大的、自适应的、高效的传感器放置解决方案，在增强SHM系统方面是有效的。

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引用次数: 0

Data-driven fault detection and diagnosis in industrial process systems: A systematic review and perspective 工业过程系统中数据驱动的故障检测与诊断：系统回顾与展望

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-24 DOI: 10.1016/j.ress.2025.112159

Shuaiyu Zhao, Haoyu Yang, Tylee L. Kareck, Faisal Khan, Qingsheng Wang

Industrial process systems, given their complexity and high risk, can cause catastrophic accidents in the case of failure, leading to casualties, environmental pollution, and economic losses. In the era of Industry 4.0, the rapid progress of intelligent production turns data-driven fault detection and diagnosis (FDD) into a crucial means to ensure the safety and reliability of representative systems, particularly across chemical, petrochemical, and energy industries where benchmark platforms such as the Tennessee Eastman Process (TEP), continuous stirred-tank reactor (CSTR), and Cranfield multiphase-flow facility exemplify practical applications. This paper presents the first systematic review of data-driven FDD research in industrial processes using the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) methodology, which focuses on the core objectives of process fault diagnosis, prognosis, predictive maintenance, and condition monitoring. With a structured approach to identify, appraise, and analyze screening literature, this paper thoroughly comprehends the complete pipelines from data benchmarking to modeling and diagnosis. The application of large language model (LLM), multi-source digital twin (DT), and explainable artificial intelligence (XAI) techniques in complex fault pattern recognition is further emphasized, providing practical guidance for the enhancement of system safety and sustainability in the context of smart industry.

工业过程系统由于其复杂性和高风险，在故障的情况下可能会导致灾难性事故，导致人员伤亡、环境污染和经济损失。在工业4.0时代，智能生产的快速发展使数据驱动的故障检测和诊断（FDD）成为确保代表性系统安全性和可靠性的关键手段，特别是在化工、石化和能源行业，其中田纳西伊士曼过程（TEP）、连续搅拌槽反应器（CSTR）和克兰菲尔德多相流设施等基准平台是实际应用的范例。本文首次系统回顾了工业过程中数据驱动的FDD研究，使用了系统回顾和荟萃分析（PRISMA）方法，重点关注了过程故障诊断、预测、预测性维护和状态监测的核心目标。通过结构化的方法来识别、评估和分析筛选文献，本文彻底理解了从数据基准测试到建模和诊断的完整流程。进一步强调了大语言模型（LLM）、多源数字孪生（DT）和可解释人工智能（XAI）技术在复杂故障模式识别中的应用，为智能工业背景下提高系统安全性和可持续性提供了实践指导。

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引用次数: 0

Modelling complexity in system safety: Generalizing the D2T2 methodology 系统安全建模的复杂性：D2T2方法的推广

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-24 DOI: 10.1016/j.ress.2025.112140

Silvia Tolo, John Andrews

Fault Tree (FT) and Event Tree (ET) analysis remain the most widely adopted methods for system safety assessment, valued for their efficiency and transparency. However, their static structure and assumption of independent basic events limit their ability to represent dynamic behaviours and dependencies, particularly in modern systems where control, automation, and shared resources play a central role. Existing extensions and alternatives improve expressiveness but often at the expense of generality, interpretability, or computational feasibility. The Dynamic and Dependent Tree Theory (D²T²) addresses these shortcomings by preserving the global FT/ET structure while enabling dependencies to be represented at multiple levels of fidelity. In this work, we propose an extension that generalizes the framework to directly capture subsystem and train level dependencies, thereby avoiding decomposition to basic event interactions that would otherwise exacerbate model complexity and state space growth. This capability places virtually no restriction on dependency type or location, and retains FT/ET traceability essential for review and certification purposes. By offering a continuum of modelling choices between classical FT/ET and fully dynamic formalisms, D²T² provides a distinctive contribution to the state of the art in dependency analysis for safety critical systems.

故障树（FT）和事件树（ET）分析仍然是系统安全评估中最广泛采用的方法，因其效率和透明度而受到重视。然而，它们的静态结构和独立基本事件的假设限制了它们表示动态行为和依赖关系的能力，特别是在控制、自动化和共享资源发挥核心作用的现代系统中。现有的扩展和替代方案改进了表达性，但往往以牺牲通用性、可解释性或计算可行性为代价。动态和依赖树理论（D2T2）通过保留全局FT/ET结构，同时使依赖关系能够在多个保真度级别上表示，从而解决了这些缺点。在这项工作中，我们提出了一个扩展，将框架推广到直接捕获子系统和训练级别的依赖关系，从而避免分解为基本事件交互，否则会加剧模型复杂性和状态空间增长。这种功能实际上对依赖类型或位置没有任何限制，并且保留了审查和认证所需的FT/ET可追溯性。通过在经典FT/ET和全动态形式化之间提供连续的建模选择，D2T2为安全关键系统的依赖分析提供了独特的贡献。

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引用次数: 0

A general multivariate gamma process with moment matching estimation for degradation modeling 基于矩匹配估计的退化模型的一般多元伽玛过程

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-24 DOI: 10.1016/j.ress.2025.112151

Xin Wu, Tingting Huang, Jie Liu

The field of reliability engineering has seen an increasing interest in degradation modeling. To date, most research has been devoted to univariate degradation data, leaving multivariate degradation data, particularly monotonic degradation data, somewhat underexplored. This paper presents a multivariate gamma process (MGP), where each marginal process is constructed as a linear combination of a common set of independent univariate gamma processes. This model describes a flexible correlation structure and encompasses certain multivariate models as its variants. Moreover, the proposed model enables one to make a trade-off between model complexity and fitting accuracy by changing the number of underlying common independent gamma processes. Parameter estimation is achieved by moment matching, embedded within a traversal-genetic algorithm, which minimizes the discrepancy between the mean and covariance of the proposed MGP and those of the data. Reliability and lifetime assessment are derived analytically and performed using Monte Carlo simulation. Two simulation studies are conducted to validate the fitting performance of the proposed MGP, and two real-world case studies are presented to illustrate the applicability of the proposed methodology. Supplementary Materials for this paper can be found online.

可靠性工程领域对退化建模越来越感兴趣。迄今为止，大多数研究都致力于单变量退化数据，而对多变量退化数据，特别是单调退化数据的探索还不够充分。本文提出了一个多元伽马过程（MGP），其中每个边缘过程被构造为一组独立的单变量伽马过程的线性组合。该模型描述了一个灵活的关联结构，并将某些多变量模型作为其变体。此外，所提出的模型通过改变潜在的公共独立伽马过程的数量，使人们能够在模型复杂性和拟合精度之间做出权衡。参数估计是通过嵌入在遍历遗传算法中的矩匹配来实现的，该算法将所提出的MGP的均值和协方差与数据的均值和协方差之间的差异最小化。可靠性和寿命评估是通过解析推导出来的，并通过蒙特卡罗仿真进行了验证。进行了两个仿真研究来验证所提出的MGP的拟合性能，并提出了两个现实世界的案例研究来说明所提出方法的适用性。本文的补充材料可以在网上找到。

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引用次数: 0

Navigating straits/canals safety: a data-driven Copula Bayesian network risk assessment framework 海峡/运河航行安全：数据驱动的Copula贝叶斯网络风险评估框架

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-24 DOI: 10.1016/j.ress.2025.112157

Jiaxin Wang , Hanwen Fan , Zhenming Wu , Nanxi Wang , Zheng Chang , Jing Lyu

Straits and canals, as vital international waterways, are of paramount importance to global trade and transportation safety. In this study, a Copula Bayesian network risk assessment framework is proposed to address associated risks. Initially, a comprehensive maritime accident database is developed through the aggregation of multi-source datasets. Subsequently, to mitigate issues arising from class imbalance in accident severity data, Tomek Link under-sampling technique is employed to improve data quality. Finally, the proposed framework captures the complex interdependencies and pronounced non-linear relationships among risk factors using Kendall’s tau correlation and the Sum of Squared Errors metric. Our findings indicate that: (1) The results derived from the spider graph analysis reveals that ocean current vector, wave height, and ship type are the primary determinants influencing the maritime accident severity; (2) Integration of Pearson correlations, regression coefficients, and correlation ratios identifies significant wave height has a significant correlation among multiple factors. As a key trigger factor, it may amplify the overall risk level through the variable coupling effect; (3) A significant rise in strait and canal risks linked to national political risk (7.52%) has been observed. These results offer a valuable foundation for risk assessment of straits and canals within an uncertain environment, thereby facilitating the formulation and implementation of robust risk mitigation strategies.

海峡和运河作为重要的国际航道，对全球贸易和运输安全至关重要。本研究提出了一个Copula贝叶斯网络风险评估框架来处理相关风险。首先，通过多源数据集的聚合，建立一个综合的海上事故数据库。随后，为了缓解事故严重性数据中类别不平衡带来的问题，采用Tomek Link欠采样技术来提高数据质量。最后，所提出的框架利用肯德尔的tau相关性和误差平方和度量来捕捉风险因素之间复杂的相互依赖关系和明显的非线性关系。结果表明：(1)蜘蛛图分析结果表明，海流矢量、浪高和船型是影响海难严重程度的主要因素；(2)对Pearson相关性、回归系数和相关比进行整合，发现显著波高在多因素之间具有显著相关性。作为关键的触发因素，它可能通过变量耦合效应放大整体风险水平；(3)与国家政治风险相关的海峡和运河风险显著上升（7.52%）。这些结果为不确定环境下海峡和运河的风险评估提供了宝贵的基础，从而促进制定和实施强有力的风险缓解战略。

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引用次数: 0

Vulnerability of process and instrument air supply utilities to volcanic ash 过程和仪表送风设施对火山灰的脆弱性

IF 11 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety

Pub Date : 2025-12-24 DOI: 10.1016/j.ress.2025.112155

Matteo Valente, Federica Ricci, Valerio Cozzani

Among other consequences of volcanic activity, recent events confirmed that the hazards caused by volcanic ash have a potential impact also at relevant distances from the emission point. The fallout of volcanic ashes may affect several utilities and services at industrial sites, potentially causing Natech events with relevant end-point consequences, e.g., operational failures, business interruption, and environmental contamination. The present study focuses on the vulnerability of process and instrument air intake utility systems to volcanic ash. A detailed model, based on an in-depth characterization of ash properties, is developed to provide accurate time to clogging estimations under varying conditions. A surrogate model is also proposed to enable a real-time assessment using a limited set of input parameters, supporting both preventive planning and real-time decision-making in emergency management. A tailored risk matrix is developed to provide a scenario-specific vulnerability ranking of critical utilities due to volcanic ash accumulation. A novel quantitative approach for the assessment of risk due to filter clogging has also been developed to support the management of the vulnerabilities and critical scenarios identified by the matrix screening. The analysis of test cases confirmed the value of the novel approach in supporting risk management and resilience against volcanic hazards, aimed at the mitigation of operational disruptions and/or more severe process safety accidents.

在火山活动的其他后果中，最近的事件证实，火山灰造成的危害在离排放点相当距离的地方也有潜在影响。火山灰沉降物可能影响工业场所的一些公用事业和服务，可能导致具有相关终端后果的Natech事件，例如操作失败、业务中断和环境污染。本研究的重点是过程和仪表进气公用系统对火山灰的脆弱性。一个详细的模型，基于深入表征灰烬的性质，开发提供准确的时间堵塞估计在不同的条件下。还提出了一种替代模型，以便使用一组有限的输入参数进行实时评估，支持应急管理中的预防性规划和实时决策。开发了量身定制的风险矩阵，以提供因火山灰积累而导致的关键公用事业的特定场景脆弱性排名。还开发了一种新的定量方法来评估由于过滤器堵塞造成的风险，以支持对矩阵筛选确定的脆弱性和关键情况的管理。对测试案例的分析证实了这种新方法在支持风险管理和抵御火山灾害方面的价值，其目的是减轻运营中断和/或更严重的过程安全事故。

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引用次数: 0