Journal of Safety and Sustainability最新文献

{"title":"Identification of precursor for fracture failure of brittle rocks based on digital image correlation technique","authors":"Qingru Liu ,&nbsp;Yudong Ren ,&nbsp;Peitao Wang ,&nbsp;Cao Liu ,&nbsp;Yilin Fu","doi":"10.1016/j.jsasus.2025.10.002","DOIUrl":"10.1016/j.jsasus.2025.10.002","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 4","pages":"Pages 231-242"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mechanical and freeze–thaw (F–T) durability improvement of silica sand by microbial induced calcite precipitation (MICP) approach","authors":"Mehdi Abbasi,&nbsp;Iman Hosseinpour","doi":"10.1016/j.jsasus.2025.10.003","DOIUrl":"10.1016/j.jsasus.2025.10.003","url":null,"abstract":"<div><div>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 (<em>μ</em>), cementation ratios (<em>β</em>), injection cycles, and levels of relative compaction (<em>R</em>_<em>c</em>) 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 <em>R</em>_<em>c</em> ​= ​70% (loose) and <em>R</em>_<em>c</em> ​= ​90% (dense), and treated with <em>μ</em> of 0.25, 0.5, 0.75, and 1.0 ​mol/L, by introducing <em>β</em> 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 <em>β</em> ​= ​50% and <em>μ</em> ​= ​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 <em>R</em>_<em>c</em> ​= ​70%, peak performance was observed at <em>μ</em> ​= ​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.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 4","pages":"Pages 243-256"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Descriptive and bowtie analysis of commercial fire outbreaks in Ghana: Threats, consequences and control measures","authors":"Eric Stemn ,&nbsp;Issabella Marteko Martey ,&nbsp;Shadrack Fosu","doi":"10.1016/j.jsasus.2025.06.002","DOIUrl":"10.1016/j.jsasus.2025.06.002","url":null,"abstract":"<div><div>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 &amp; 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.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 4","pages":"Pages 293-306"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145842482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating FRAM and fuzzy logic for the analysis of critical functions and human reliability in loading operations in underground mining","authors":"Gabriel Alencar Silva Almeida Dantas,&nbsp;Ana Carolina Russo,&nbsp;Giorgio De Tomi","doi":"10.1016/j.jsasus.2025.06.004","DOIUrl":"10.1016/j.jsasus.2025.06.004","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 222-229"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial Board Member","authors":"","doi":"10.1016/S2949-9267(25)00045-9","DOIUrl":"10.1016/S2949-9267(25)00045-9","url":null,"abstract":"","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Page i"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in automation and robotics: The state of the emerging future mining industry","authors":"Mabel Obosu,&nbsp;Samuel Frimpong","doi":"10.1016/j.jsasus.2025.05.003","DOIUrl":"10.1016/j.jsasus.2025.05.003","url":null,"abstract":"<div><div>The mining industry is undergoing a transformative evolution driven by novel intelligent technologies to eliminate fatalities within the next two decades. The integration of automation, robotic systems, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), drones, remote monitoring, and other intelligent systems is expected to significantly improve safety, efficiency, and sustainability. Autonomous vehicles, equipped with sensors and navigation systems enable continuous operation in hazardous environments while reducing the risk of accidents and injuries. These intelligent systems are vital in preventing, managing, and responding to mine accidents and emergencies. They enhance precision and reliability in drilling, excavation, and material handling, leading to higher productivity. These technologies contribute to a safer mining industry by improving risk management, expediting emergency responses, and reducing the frequency and severity of mine accidents. This paper provides a comprehensive review of the recent developments and applications of intelligent systems within the mining sector. It also demonstrates how these novel intelligent systems would shape the mining industry of the future. The main novelty of this work includes the exploration of the benefits, challenges, and prospects associated with the adoption of these intelligent systems in the mining industry of the future.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 181-194"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safety properties of 3D framework loaded polyethylene glycol composite phase change materials with MXene","authors":"Changcheng Liu ,&nbsp;Xue Bai ,&nbsp;Qian Cao ,&nbsp;Shengsi Wang ,&nbsp;Que Huang","doi":"10.1016/j.jsasus.2025.06.003","DOIUrl":"10.1016/j.jsasus.2025.06.003","url":null,"abstract":"<div><div>Phase change materials (PCMs) have been limited in their energy storage applications due to inherent defects, such as leakage and low thermal conductivity. Consequently, the development of highly efficient adsorptive PCMs has become a focal point of research. By constructing a three-dimensional (3D) porous aerogel support skeleton, a new composite PCM (CPCM) with a high loading rate (more tham 98%), leakage prevention, and multifunctional properties has been successfully developed. The system innovatively integrates a 3D MXene framework, constructed via the ice template method, which enhances the thermal conductivity from 0.374 W/(m·K) to 1.388 W/(m·K) and achieves 43 dB electromagnetic shielding efficiency in the Ku-band (12–18 GHz). Owing to the synergistic design, the material exhibits significant electro-thermal conversion, with a local temperature rise of 91 °C at an input voltage of 15 V. Additionally, its high energy storage density (latent heat value more than 175 J·g⁻¹) and easy-to-shape characteristics offer potential for multi-scenario applications in electronic thermal safety management and smart energy storage systems.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 171-180"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamic acoustic emission source localization and damage evolution analysis of rock under compressive loading","authors":"Longjun Dong ,&nbsp;Shen Zhang ,&nbsp;Longbin Yang ,&nbsp;Daoyuan Sun ,&nbsp;Jianqing Xiao ,&nbsp;Hongwei Wang","doi":"10.1016/j.jsasus.2025.07.001","DOIUrl":"10.1016/j.jsasus.2025.07.001","url":null,"abstract":"<div><div>Understanding the dynamic damage evolution of rock is crucial for ensuring underground engineering stability. However, traditional acoustic emission (AE) source localization methods that rely on pre-measured velocity models introduce significant errors under heterogeneous media evolution. This study uses a self-developed AE monitoring system to investigate dynamic AE source localization and damage evolution in rock subjected to compressive loading. AE sensors captured spatiotemporal acoustic signals while velocity field inversion was performed by traveltime tomography to track crack propagation across four loading stages: crack closure, elastic deformation, stable crack propagation, and unstable crack propagation. Results, as visualized in Section 4, demonstrate that the velocity field increases dominantly during the initial stages, then exhibits localized attenuation as damage accumulates. A velocity-free localization method simultaneously solves for event locations and effective velocities, eliminates dependence on pre-measured velocity models, and achieves high-precision AE localization. The deduced localization results align with the X-shaped shear failure pattern of the specimen. This combined localization and tomography approach provides a reliable tool for real-time characterization of rock damage evolution, advancing fracture mechanism analysis and engineering monitoring under complex conditions.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 147-155"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proposal of a safety maturity framework in construction: Implementing leading indicators for proactive safety management","authors":"Hamidreza Golabchi ,&nbsp;Estacio Pereira ,&nbsp;Lianne Lefsrud ,&nbsp;Yasser Mohamed","doi":"10.1016/j.jsasus.2025.06.001","DOIUrl":"10.1016/j.jsasus.2025.06.001","url":null,"abstract":"<div><div>The construction industry remains among the most hazardous sectors globally, despite significant advancements in regulatory standards over the past decades. Traditional safety management practices often rely on lagging indicators which fail to prevent future incidents or foster a proactive safety culture. Safety leading indicators, in contrast, offer a forward-looking approach by identifying risks before incidents occur. However, the effective integration of these indicators remains underexplored, with a lack of structured frameworks to guide their implementation. This research addresses this gap by developing a safety maturity framework (SMF) specifically designed for construction organizations. The SMF provides a systematic model for assessing and enhancing safety performance through five progressive stages, moving from basic compliance to advanced, data-driven practices focused on continuous improvement. Building on and extending prior maturity models that emphasize cultural evolution, the SMF explicitly incorporates leading indicators as operational benchmarks at each stage of maturity, linking organizational culture with measurable safety practices. A rigorous methodology was employed, beginning with a systematic literature review to extract safety leading indicators. This was followed by semi-structured interviews with safety professionals. Thematic and content analysis revealed key patterns, including the critical role of leadership commitment, organizational learning, and workforce engagement in embedding leading indicators into day-to-day operations. Key findings also underscored the interdependent nature of leading indicators and safety culture, demonstrating how factors like leadership and culture interact dynamically to drive safety performance. The SMF serves as a practical tool for construction firms to transition from reactive safety measures to a proactive safety culture, enhancing risk anticipation, operational efficiency, and overall sustainability. The research contributes theoretically by integrating qualitative and quantitative insights into a cohesive framework and practically by providing actionable guidance for industry professionals.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 207-221"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the dynamic characteristics of crack formation of Jiangxi lateritic soil subjected to drying-wetting cycles","authors":"Yu Su ,&nbsp;Pengshao Zeng ,&nbsp;Wenliang Yao ,&nbsp;Jianglin Gao ,&nbsp;Chuangbing Zhou ,&nbsp;Junyi Duan ,&nbsp;Yue Zhang ,&nbsp;Bo Han ,&nbsp;Wenzhe Zhu ,&nbsp;Tianpeng Chen ,&nbsp;Weiping Liu ,&nbsp;Yan Li","doi":"10.1016/j.jsasus.2025.06.005","DOIUrl":"10.1016/j.jsasus.2025.06.005","url":null,"abstract":"<div><div>Earthen dams made of Jiangxi lateritic soil are widely built in Jiangxi Province, China. Field observations showed uneven settlements and cracks in the earthen dams, which were attributed to the dynamic water-level fluctuation in the reservoir. Under this circumstance, the initiation and propagation of cracks of Jiangxi lateritic soil can be accelerated by the drying-wetting (D-W) cycles, threatening the safety and stability of earthen dams. For this reason, the dynamic characteristics of cracks in Jiangxi lateritic soil under D-W cycles and its microstructure mechanism were investigated in this study, for up to 5 cycles (<em>N</em> = 5). The microstructure of Jiangxi lateritic soil was measured using mercury intrusion porosimetry (MIP) and scanning electron microscopy (SEM), and its effect on the crack patterns was quantitatively analyzed through image processing technique. The results showed that: (1) The drying-induced desiccation cracks with increasing <em>N</em> was divided into three stages: the crack-generating stage (<em>N</em> ​= ​0–1), the crack-propagating stage (<em>N</em> ​= ​1–3) and the crack-stable stage (<em>N</em> ​= ​3–5). The initiation and propagation of cracks showed a strong correlation with microstructure damage (e.g., aggregate decomposition and pore expansion), which resulted from D-W cycles. With the penetration of large pores, the cracks were generated; (2) The wetting-induced healing behavior was categorized into two zones: the first zone corresponded to the healing of sub-cracks, while the second zone corresponded to that of primary cracks. With increasing <em>N</em>, the full-healing of primary cracks (<em>N</em> ​= ​2) was converted to the partial healing of primary cracks (<em>N</em> ​= ​3–4) and wetting-induced cracks (<em>N</em> ​= ​5); (3) The crack dynamic hysteresis (CDH) behavior consists of two stages, which were separated by a threshold water content (<em>w</em>_<em>th</em>). With increasing <em>N</em>, the <em>w</em>_<em>th</em> value decreased, indicating that more residual cracks, which were not healed in the wetting process, were accumulated. This study addressed the effect of D-W cycles on the cracks dynamic characteristics of Jiangxi lateritic soil, which can be helpful in the design of geotechnical engineering.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 195-206"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}