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Editorial Board Member 编委会成员
Pub Date : 2025-12-01 DOI: 10.1016/S2949-9267(25)00062-9
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引用次数: 0
Vibration of viscoelastic rock slope with a filled structural plane caused by incident P-wave p波入射下充填结构面粘弹性岩质边坡的振动
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.11.001
Shaobo Chai , Chengwu Wen , Jianxin Yu , Lianzeng Chai , Shanqiu Yue
The dynamic response characteristics of a rock slope are crucial factors in analyzing the dynamic stability of rock mass, which is essentially a vibration problem caused by stress wave propagation. In theoretical studies of stress wave propagation, the slope model is often simplified, neglecting the vibration superposition effect due to multiple reflections between the slope surface and structural planes, as well as the attenuation of stress wave caused by viscoelasticity of rock mass. Based on the time domain recursive analysis method, the stress wave propagation analysis model was established for a viscoelastic rock slope with filled structural planes. This model incorporated quality factors of the stress wave and derived both the analytical equation for slope vibration and the expression for the slope amplification coefficient. Assuming the slope behaves as a Kelvin viscoelastic body, the normal deformation of the contact interface at the filled structural plane conforms to a nonlinear hyperbolic model, whereas the tangential deformation follows a linear model. The results indicate that, although multiple reflection waves in the rock mass amplify the slope's vibration effect, the viscoelastic properties of rock mass dampen this amplification, making it less significant. Furthermore, as both the slope inclination and the inclination of the filled structural plane increase, the slope amplification coefficient undergoes significant and nonlinear variations. As the coordinates of the monitoring points increase, the slope amplification coefficient initially undergoes abrupt fluctuations, gradually decreasing towards stability. Additionally, as the thickness of the filled structural plane increases, the slope amplification coefficient decreases progressively.
岩质边坡的动力响应特性是分析岩体动力稳定性的关键因素,而岩体动力稳定性本质上是由应力波传播引起的振动问题。在应力波传播的理论研究中,往往对边坡模型进行简化,忽略了边坡表面与结构面之间多次反射引起的振动叠加效应,以及岩体粘弹性引起的应力波衰减。基于时域递推分析方法,建立了充填结构面粘弹性岩质边坡的应力波传播分析模型。该模型考虑了应力波的质量因素,导出了边坡振动解析方程和边坡放大系数表达式。假设边坡为开尔文粘弹性体,则充填结构面接触界面的法向变形服从非线性双曲模型,切向变形服从线性模型。结果表明,虽然岩体中的多次反射波放大了边坡的振动效应,但岩体的粘弹性特性抑制了这种放大,使其不那么显著。随着边坡倾斜度和填土结构面倾斜度的增大,边坡放大系数发生显著的非线性变化。随着监测点坐标的增加,边坡放大系数开始出现突发性波动,逐渐减小趋于稳定。随着填土结构面厚度的增加,边坡放大系数逐渐减小。
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引用次数: 0
TSC model for distribution networks considering extreme ice-coating conditions 考虑极端覆冰条件的配电网TSC模型
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.08.001
Yuting Lu , Bangkai Zhang , Zekai Qiu , Sizhuo Huang , Yan Jiang , Chenhui Song
In recent years, frequent extreme meteorological disasters have severely threatened the secure operation of distribution networks. Ice-coating disasters, characterized by sudden onset and wide impact, pose significant risks. Existing research focuses on pre-disaster prediction, in-disaster analysis, and post-disaster recovery but neglects the impact of ice-coating faults on the power supply capability. Therefore, this paper presents a model for assessing the Total Supply Capability (TSC) of distribution networks under extreme ice-coating disasters (unique aspects). First, a two-stage data-driven ice-coating fault prediction method is proposed, employing meteorological data analysis and the random forest algorithm to calculate the fault probability in distribution networks. Specifically, Stage 1 addresses sparse historical data by expanding the dataset, while Stage 2 uses a random forest model to predict single-feeder ice-coating fault rates. Second, a power supply capability model for ice-coating disasters is established, which enables a quantitative analysis of the capability and the probability of its loss. Next, a feeder risk-classification-based planning method is proposed, which optimizes load transfer paths via new tie-lines to enhance power supply capability. Finally, an extended IEEE_RBTS_BUS4 case validates the model's effectiveness. Compared to existing methods (practical application value and concrete achievable effects), our approach not only quantifies the impact of ice-coating on power supply capability but also identifies vulnerable feeders. This work provides effective guidance for planning and enhances distribution network reliability under extreme weather.
近年来,极端气象灾害频发,严重威胁着配电网的安全运行。覆冰灾害具有突发、影响广泛的特点,具有重大的危险性。现有的研究主要集中在灾前预测、灾中分析和灾后恢复,而忽略了覆冰故障对供电能力的影响。为此,本文提出了一种评估极端覆冰灾害(特殊情况)下配电网总供电能力(TSC)的模型。首先,提出了一种两阶段数据驱动的覆冰故障预测方法,利用气象数据分析和随机森林算法计算配电网的故障概率;具体来说,阶段1通过扩展数据集来处理稀疏的历史数据,而阶段2使用随机森林模型来预测单馈线覆冰故障率。其次,建立了覆冰灾害供电能力模型,定量分析了覆冰灾害供电能力及其损失概率。其次,提出了一种基于馈线风险分类的规划方法,通过新建联络线优化负荷转移路径,提高供电能力。最后,一个扩展的IEEE_RBTS_BUS4案例验证了模型的有效性。与现有方法(实际应用价值和具体可实现效果)相比,我们的方法不仅量化了覆冰对供电能力的影响,而且还识别了脆弱的馈线。该工作对配电网规划提供了有效的指导,提高了配电网在极端天气下的可靠性。
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引用次数: 0
A theoretical framework for analyzing firefighters’ situational awareness and information requirements in large chemical tank firefighting 大型化工罐消防中消防员态势感知与信息需求分析的理论框架
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.10.001
Shiqing Wang , Yi Zhu
What scenario states are of primary concern to tactical firefighters during fire rescue operations in large chemical tank farms? How can a systematic mapping be established between rescue information and these critical scenario states? To address the questions, we propose three qualitative criteria for identifying key scenario states in chemical tank firefighting based on firefighting experience. Using these criteria and a grounded theory approach, this study conducts text mining on 96 chemical tank firefighting and rescue reports from China. Anchored in the public safety triangle theoretical model and reflecting the structural characteristics of China's current command and control organizational structures for major chemical fire emergencies, the study identifies nine key scenario states and 57 pieces of situational information that are of particular concern to tactical level firefighters. Building on the multi-scale evolution mechanisms of key scenario states in chemical tank fires and the scenario-driven information requirements theory, a theoretical framework for situational information requirements tailored to tactical command decision-making is proposed. The framework offers a valuable reference for the future deep integration, hierarchical management, and intelligent distribution of incident command information in chemical tank fire emergency response.
在大型化工场的消防救援行动中,战术消防员主要关注哪些情况?如何在救援信息和这些关键场景状态之间建立系统的映射?为了解决这些问题,我们根据消防经验提出了三个定性标准来识别化学品罐消防的关键场景状态。运用这些标准和扎根理论的方法,本研究对来自中国的96份化学品储罐消防和救援报告进行了文本挖掘。该研究以公共安全三角理论模型为基础,反映了中国当前重大化学品火灾应急指挥控制组织结构的结构特征,确定了战术级消防员特别关注的9个关键情景状态和57条情景信息。基于化学坦克火灾关键场景状态的多尺度演化机制和场景驱动信息需求理论,提出了适合战术指挥决策的态势信息需求理论框架。该框架为今后化工罐火灾应急响应中事件指挥信息的深度集成、分层管理和智能化分发提供了有价值的参考。
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引用次数: 0
Development of a safety oriented framework for fall prevention in construction projects using smart PLS-SEM analysis 利用智能PLS-SEM分析开发建筑项目中预防跌倒的安全导向框架
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.10.004
Syed Ammad, Sherif Mostafa, Rodney A. Stewart
The construction industry continues to face significant risks associated with fall-from-height (FFH) incidents, despite advances in safety protocols and technologies. This study identifies and empirically validates critical safety factors influencing personal protective equipment (PPE) adoption and fall prevention on infrastructure projects through an integrated conceptual framework. A systematic literature review was conducted to extract eight critical success factors (CSFs), followed by data acquisition. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), the relationships between safety constructs including management commitment, equipment quality, operator risk, employee awareness, and regulatory compliance were examined. A total of 33 observable variables were evaluated across five latent domains. The model explained 96.1% of the variance in safety adoption behaviour, with operator-related issues exerting the strongest influence. This study identifies and empirically validates critical safety factors influencing FFH prevention, with PPE adoption examined as one dimension within a broader safety framework. Findings affirm that PPE quality alone may be insufficient without concurrent emphasis on human and institutional dynamics.
尽管安全协议和技术不断进步,但建筑行业仍然面临着与高空坠落(FFH)事件相关的重大风险。本研究通过综合概念框架确定并实证验证了影响基础设施项目中个人防护装备(PPE)采用和跌倒预防的关键安全因素。我们进行了系统的文献综述,提取了八个关键成功因素(csf),然后进行了数据采集。利用偏最小二乘结构方程模型(PLS-SEM),研究了管理承诺、设备质量、操作人员风险、员工意识和法规遵从性等安全结构之间的关系。共有33个可观察变量在5个潜在域进行评估。该模型解释了96.1%的安全采用行为差异,其中与操作员相关的问题发挥了最大的影响。本研究确定并实证验证了影响FFH预防的关键安全因素,并将PPE的采用作为更广泛安全框架内的一个维度进行了检查。研究结果证实,如果不同时强调人和机构的动态,单靠个人防护装备的质量可能是不够的。
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引用次数: 0
Identification of precursor for fracture failure of brittle rocks based on digital image correlation technique 基于数字图像相关技术的脆性岩石断裂破坏前兆识别
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.10.002
Qingru Liu , Yudong Ren , Peitao Wang , Cao Liu , Yilin Fu
Understanding the failure mechanism and process of rock is of great significance for in-depth study of rock failure precursors and prevention of potential rock engineering instability. Numerical compressions on intact rock and excavated rocks were carried out and the digital image correlation (DIC) technique was used to measure the full-field displacement and strains to study the precursors of rock fracture. The ratio of shear strain to loading time and the absolute standard deviation of the shear strain field were proposed. The reliability of the DIC algorithm in studying the rock deformation and failure was verified by comparing it with the numerical simulation. The results show that the sudden change of shear strain is closely related to the occurrence of internal cracks in rocks during the loading process. The shear strain of certain tracing points near the failure region as well as the value of shear strain field have good correlations with the rock fracture failure. The shear strains, shear strain-time ratio, and shear strain field of a coal specimen under experimental compression were discussed. The feasibility of using shear strain to predict the fracture failure was verified. This study, through the introduction of novel quantitative indicators and the adoption of an integrated numerical-experimental validation strategy, systematically demonstrates that the analysis of the shear strain field based on DIC technology can serve as an effective and reliable method for identifying precursors to rock fracture. This finding not only deepens the understanding of rock failure mechanisms but, more importantly, provides a technically practical framework for predicting and preventing instability failures in geotechnical engineering practice.
了解岩石的破坏机制和破坏过程,对于深入研究岩石破坏前兆,预防潜在的岩石工程失稳具有重要意义。通过对完整岩石和开挖岩石进行数值压缩,利用数字图像相关(DIC)技术测量岩石的全场位移和应变,研究岩石破裂的前兆。提出了剪切应变与加载时间的比值和剪切应变场的绝对标准差。通过与数值模拟的对比,验证了DIC算法在岩石变形破坏研究中的可靠性。结果表明,剪切应变的突变与加载过程中岩石内部裂纹的发生密切相关。破坏区域附近某些示踪点的剪切应变及剪切应变场值与岩石破裂破坏有较好的相关性。讨论了煤样在实验压缩条件下的剪切应变、剪切应变-时间比和剪切应变场。验证了用剪切应变预测断裂破坏的可行性。本研究通过引入新的定量指标,采用数值-实验相结合的验证策略,系统地论证了基于DIC技术的剪切应变场分析可以作为识别岩石破裂前兆的一种有效、可靠的方法。这一发现不仅加深了对岩石破坏机制的理解,更重要的是,为岩土工程实践中预测和预防失稳破坏提供了技术上实用的框架。
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引用次数: 0
Mechanical and freeze–thaw (F–T) durability improvement of silica sand by microbial induced calcite precipitation (MICP) approach 微生物诱导方解石沉淀(MICP)法提高硅砂力学和冻融(F-T)耐久性
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.10.003
Mehdi Abbasi, Iman Hosseinpour
This research introduces an innovative approach by adopting microbial biotechnology to develop biocement, offering a sustainable alternative to traditional soil stabilization methods through the microbial induced calcite precipitation (MICP) technique. The effects of various concentrations of cementation solution (μ), cementation ratios (β), injection cycles, and levels of relative compaction (Rc) on soil stabilization are examined by means of experimental evaluations, including unconfined compressive strength (UCS), ultrasonic pulse velocity (UPV), precipitated calcite content assessment, and scanning electron microscopy (SEM) analysis. To this end, cylindrical specimens were prepared at two discrete compaction levels: relative compaction Rc ​= ​70% (loose) and Rc ​= ​90% (dense), and treated with μ of 0.25, 0.5, 0.75, and 1.0 ​mol/L, by introducing β values ranging from 10% to 90% over injection cycles of 3, 14, and 21 injection cycles. The findings showed that the optimal stabilization conditions were achieved at β ​= ​50% and μ ​= ​0.75 ​mol/L after 21 injection cycles, resulting in maximum values for UCS, secant modulus (E50), as well as constrained modulus (D). Under these conditions, the UCS increased by a factor of approximately 25, while the stiffness indices (E50 and D) increased by a factor of over 50 compared to the untreated soil. However, for samples prepared at Rc ​= ​70%, peak performance was observed at μ ​= ​1 ​mol/L, indicating the critical effect of sample voids on optimized microbial injection dosage. Durability assessments under freeze–thaw conditions ranging from 2 to 12 cycles demonstrated that the optimized samples retained 70–90% of their compressive strength after 12 progressive cycles, while stiffness parameters (e.g., E50) experienced comparatively greater reductions. These findings illustrate both the resilience and the sensitivity of MICP-treated soils under cyclic thermal environments compared to virgin soil, highlighting the potential of MICP for enhancing both mechanical performance and freeze–thaw durability in sustainable soil improvement.
本研究介绍了一种采用微生物生物技术开发生物水泥的创新方法,通过微生物诱导方解石沉淀(MICP)技术为传统的土壤稳定方法提供了一种可持续的替代方法。通过无侧限抗压强度(UCS)、超声脉冲速度(UPV)、沉淀方解石含量评估和扫描电镜(SEM)分析,研究了不同胶结溶液浓度(μ)、胶结比(β)、注入周期和相对压实水平(Rc)对土壤稳定性的影响。为此,在相对压实Rc = 70%(松散)和Rc = 90%(致密)两种离散压实水平下制备圆柱形试样,并在注射周期3、14和21次注射周期中引入10%至90%的β值,以0.25、0.5、0.75和1.0 mol/L的μ处理。结果表明,在β = 50%和μ = 0.75 mol/L的条件下,注射21个周期后,UCS、割线模量(E50)和约束模量(D)均达到最大值。在这些条件下,与未经处理的土壤相比,UCS增加了约25倍,而刚度指数(E50和D)增加了50倍以上。而在Rc = 70%时制备的样品,在μ = 1 mol/L时表现最佳,说明样品孔隙对最佳微生物注射量的影响至关重要。在2到12个循环的冻融条件下的耐久性评估表明,优化后的样品在12个渐进循环后仍保持了70-90%的抗压强度,而刚度参数(例如E50)的降低幅度相对较大。这些研究结果表明,与原始土壤相比,MICP处理过的土壤在循环热环境下的弹性和敏感性,突出了MICP在可持续土壤改良中提高机械性能和冻融耐久性的潜力。
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引用次数: 0
Descriptive and bowtie analysis of commercial fire outbreaks in Ghana: Threats, consequences and control measures 加纳商业火灾爆发的描述性和领结分析:威胁、后果和控制措施
Pub Date : 2025-12-01 DOI: 10.1016/j.jsasus.2025.06.002
Eric Stemn , Issabella Marteko Martey , Shadrack Fosu
In Ghana, fire outbreaks at commercial facilities have been on the rise, resulting in devastating consequences. These recurring fire events indicate the failure of the Ghanaian society to learn from past fire events for prevention purposes. Past research has focused on fire trends, modelling and management, with limited focus on the causal factors. This research, therefore, addresses the knowledge gap in the causes of recurring commercial fires in Ghana in a meaningful and graphical way using bowtie analysis. Publicly available data on commercial fires were obtained from the websites of reputable online sources and the Ghana National Fire Service. 140 fire cases were identified following the application of several selection criteria. The data was first analysed to identify patterns and trends. Bowtie analysis was then applied to filter the data. The analysis revealed that most fires occurred in the Greater Accra and Ashanti Regions, which was anticipated due to the high economic activities in those regions of Ghana. Futhermore, the number of fire cases has been increasing over the years, with most cases recorded in recent years, particularly from 2017 onwards. Using the bowtie analysis method led to the grouping of the issues into causes of fires, consequences of fires, and controls for overcoming commercial fires. Specifically, causes related to human behaviour and electrical installations & appliances were frequent, which highlights the need for policies to improve fire safety-related human behaviour and standard practices on electrical installations and appliances at commercial facilities. The bowtie analysis provides a concise summary of how and why commercial fires continue to occur and offers potential practical strategies for improving fire safety at commercial facilities.
在加纳,商业设施的火灾不断增加,造成了毁灭性的后果。这些反复发生的火灾事件表明,加纳社会未能从过去的火灾事件中吸取教训,以预防火灾。过去的研究主要集中在火灾趋势、建模和管理上,而对火灾成因的关注有限。因此,本研究使用领结分析以有意义和图形化的方式解决了加纳经常性商业火灾原因的知识差距。商业火灾的公开数据来自信誉良好的在线资源网站和加纳国家消防局。140个火灾案例根据几个选择标准被确定。首先对数据进行分析,以确定模式和趋势。然后应用鲍蒂分析对数据进行过滤。分析显示,大多数火灾发生在大阿克拉和阿散蒂地区,这是由于加纳这些地区的经济活动较多而预料到的。此外,火灾案件的数量近年来一直在增加,近年来记录的大多数案件,特别是从2017年起。使用领结分析方法将问题分为火灾的原因、火灾的后果和克服商业火灾的控制。具体而言,与人类行为和电气装置及器具有关的原因是常见的,这突出表明需要制定政策,改善与商业设施的电气装置和器具有关的与消防安全有关的人类行为和标准操作。领结分析提供了商业火灾持续发生的方式和原因的简明总结,并为改善商业设施的消防安全提供了潜在的实用策略。
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引用次数: 0
Integrating FRAM and fuzzy logic for the analysis of critical functions and human reliability in loading operations in underground mining 将FRAM与模糊逻辑相结合,用于地下矿山加载作业的关键功能与人的可靠性分析
Pub Date : 2025-09-01 DOI: 10.1016/j.jsasus.2025.06.004
Gabriel Alencar Silva Almeida Dantas, Ana Carolina Russo, Giorgio De Tomi
This study applied both the Functional Resonance Analysis Method (FRAM) and Fuzzy Cognitive Reliability and Error Analysis Method (CREAM) to identify and analyze critical functions involved in loading operations at an underground mine located in Minas Gerais, Brazil. Data collection was conducted through direct observations of operational tasks to capture performance variability and assess the impact of environmental conditions on operator health and safety. The FRAM analysis mapped interactions between operators and equipment, emphasizing the critical role of ergonomic practices in preventing injuries and maintaining operational productivity. In parallel, the Fuzzy CREAM method quantified the probability of human error under various performance conditions, revealing a high likelihood of error (7.74) under conditions of high workload, fatigue, and low organizational support. This result highlights how human performance variability directly affects operational risk and underscores the importance of ergonomic interventions, such as monitoring operator health and adjusting workloads, to enhance safety and efficiency. The study's main limitation lies in its focus on a specific set of functions, suggesting the need for future research to include a broader range of dynamic operational and environmental variables.
本研究采用功能共振分析方法(FRAM)和模糊认知可靠性和误差分析方法(CREAM)来识别和分析巴西米纳斯吉拉斯州地下矿山加载作业中涉及的关键功能。数据收集是通过对作业任务的直接观察来进行的,以捕捉性能变化并评估环境条件对操作人员健康和安全的影响。FRAM分析绘制了操作人员和设备之间的相互作用,强调了人体工程学实践在防止伤害和保持操作生产力方面的关键作用。同时,Fuzzy CREAM方法量化了各种性能条件下人为错误的概率,揭示了高工作量、疲劳和低组织支持条件下的高错误可能性(7.74)。这一结果强调了人类行为的可变性如何直接影响操作风险,并强调了人体工程学干预措施的重要性,例如监测操作人员的健康状况和调整工作量,以提高安全性和效率。这项研究的主要局限在于它只关注了一组特定的功能,这表明未来的研究需要包括更广泛的动态操作和环境变量。
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引用次数: 0
Editorial Board Member 编委会成员
Pub Date : 2025-09-01 DOI: 10.1016/S2949-9267(25)00045-9
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引用次数: 0
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Journal of Safety and Sustainability
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