Pub Date : 2025-09-01DOI: 10.1016/j.jsasus.2025.05.003
Mabel Obosu, Samuel Frimpong
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.
{"title":"Advances in automation and robotics: The state of the emerging future mining industry","authors":"Mabel Obosu, 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}
Pub Date : 2025-09-01DOI: 10.1016/j.jsasus.2025.06.003
Changcheng Liu , Xue Bai , Qian Cao , Shengsi Wang , Que Huang
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.
{"title":"Safety properties of 3D framework loaded polyethylene glycol composite phase change materials with MXene","authors":"Changcheng Liu , Xue Bai , Qian Cao , Shengsi Wang , 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<sup>−1</sup>) 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}
Pub Date : 2025-09-01DOI: 10.1016/j.jsasus.2025.07.001
Longjun Dong , Shen Zhang , Longbin Yang , Daoyuan Sun , Jianqing Xiao , Hongwei Wang
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.
{"title":"Dynamic acoustic emission source localization and damage evolution analysis of rock under compressive loading","authors":"Longjun Dong , Shen Zhang , Longbin Yang , Daoyuan Sun , Jianqing Xiao , 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}
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.
{"title":"Proposal of a safety maturity framework in construction: Implementing leading indicators for proactive safety management","authors":"Hamidreza Golabchi , Estacio Pereira , Lianne Lefsrud , 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}
Pub Date : 2025-09-01DOI: 10.1016/j.jsasus.2025.06.005
Yu Su , Pengshao Zeng , Wenliang Yao , Jianglin Gao , Chuangbing Zhou , Junyi Duan , Yue Zhang , Bo Han , Wenzhe Zhu , Tianpeng Chen , Weiping Liu , Yan Li
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 (N = 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 N was divided into three stages: the crack-generating stage (N = 0–1), the crack-propagating stage (N = 1–3) and the crack-stable stage (N = 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 N, the full-healing of primary cracks (N = 2) was converted to the partial healing of primary cracks (N = 3–4) and wetting-induced cracks (N = 5); (3) The crack dynamic hysteresis (CDH) behavior consists of two stages, which were separated by a threshold water content (wth). With increasing N, the wth 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.
{"title":"Investigating the dynamic characteristics of crack formation of Jiangxi lateritic soil subjected to drying-wetting cycles","authors":"Yu Su , Pengshao Zeng , Wenliang Yao , Jianglin Gao , Chuangbing Zhou , Junyi Duan , Yue Zhang , Bo Han , Wenzhe Zhu , Tianpeng Chen , Weiping Liu , 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><sub><em>th</em></sub>). With increasing <em>N</em>, the <em>w</em><sub><em>th</em></sub> 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}
Conducting a Job Hazard Analysis (JHA) remains essential for managing safety risks in construction; however, the process is often manual, subjective, and knowledge-intensive. While numerous studies have proposed tools and techniques to enhance JHA, a comprehensive synthesis through the lens of construction safety knowledge management (CSKM) has been lacking. This systematic review fills that gap by: (1) Critically examining recent advancements in JHA practices with a focus on how tacit and explicit safety knowledge is acquired, integrated, and applied; (2) Analyzing the emerging role of interoperable and semantic technologies – such as building information modeling (BIM), ontologies, knowledge graphs (KGs), and semantic reasoning – in supporting JHA through CSKM; and (3) Proposing a novel conceptual framework that outlines the potential integration of large language models (LLMs) to automate and enhance JHA processes. Using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, 90 peer-reviewed studies were systematically reviewed and thematically analyzed. The results reveal actionable patterns in how digital technologies and knowledge management strategies are converging to address longstanding issues in hazard identification and decision-making. By embedding institutional knowledge into LLM-supported CSKM, this review contributes to developing safer, more adaptive, and ultimately more sustainable construction practices.
{"title":"Integrating knowledge management and large language models to advance construction Job Hazard Analysis: A systematic review and conceptual framework","authors":"Abbey Dale Abellanosa , Estacio Pereira , Lianne Lefsrud , Yasser Mohamed","doi":"10.1016/j.jsasus.2025.05.004","DOIUrl":"10.1016/j.jsasus.2025.05.004","url":null,"abstract":"<div><div>Conducting a Job Hazard Analysis (JHA) remains essential for managing safety risks in construction; however, the process is often manual, subjective, and knowledge-intensive. While numerous studies have proposed tools and techniques to enhance JHA, a comprehensive synthesis through the lens of construction safety knowledge management (CSKM) has been lacking. This systematic review fills that gap by: (1) Critically examining recent advancements in JHA practices with a focus on how tacit and explicit safety knowledge is acquired, integrated, and applied; (2) Analyzing the emerging role of interoperable and semantic technologies – such as building information modeling (BIM), ontologies, knowledge graphs (KGs), and semantic reasoning – in supporting JHA through CSKM; and (3) Proposing a novel conceptual framework that outlines the potential integration of large language models (LLMs) to automate and enhance JHA processes. Using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) methodology, 90 peer-reviewed studies were systematically reviewed and thematically analyzed. The results reveal actionable patterns in how digital technologies and knowledge management strategies are converging to address longstanding issues in hazard identification and decision-making. By embedding institutional knowledge into LLM-supported CSKM, this review contributes to developing safer, more adaptive, and ultimately more sustainable construction practices.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 3","pages":"Pages 156-170"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145183569","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}
Pub Date : 2025-06-01DOI: 10.1016/j.jsasus.2025.02.005
Grace DeBusschere , Heather Byrne , Victoria Augustino , Rachel Granberg , Seth Pearson , Robin Verble
Equipment malfunctions and failures are a common cause of workplace injury. Here, we examined experiences with equipment, vehicles, and infrastructure malfunctions and failures, associated injuries, illnesses and casualties, and confidence in repair and reporting mechanisms in United States federal wildland firefighters. Respondents reported that equipment, facilities, and vehicles malfunction and failures often resulted in impaired work performance, and over 25% of respondents reported at least one injury, illness, or death associated with these malfunctions and failures. Over 75% of respondents lacked confidence that repairs would occur, and that reporting would positively impact outcomes.
{"title":"Consequences of facilities, vehicle, and equipment failures in United States federal wildland firefighter retention and morale","authors":"Grace DeBusschere , Heather Byrne , Victoria Augustino , Rachel Granberg , Seth Pearson , Robin Verble","doi":"10.1016/j.jsasus.2025.02.005","DOIUrl":"10.1016/j.jsasus.2025.02.005","url":null,"abstract":"<div><div>Equipment malfunctions and failures are a common cause of workplace injury. Here, we examined experiences with equipment, vehicles, and infrastructure malfunctions and failures, associated injuries, illnesses and casualties, and confidence in repair and reporting mechanisms in United States federal wildland firefighters. Respondents reported that equipment, facilities, and vehicles malfunction and failures often resulted in impaired work performance, and over 25% of respondents reported at least one injury, illness, or death associated with these malfunctions and failures. Over 75% of respondents lacked confidence that repairs would occur, and that reporting would positively impact outcomes.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 2","pages":"Pages 142-146"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518372","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}
Road accidents of hazardous chemical vehicles correlate with environmental impact and human loss. Precisely predicting accidental chemical leaks during transportation is crucial in improving accident management. It helps augment the safety of roadways, infrastructures, and human life. This study focuses on identifying the best route for the transportation of ammonia and liquefied natural gas (LNG), identifying possible hazards in the route, quantifying the risk, and providing controls to reduce the risk to as low as possible. The quantification of risk is estimated through dispersion modeling of accidental scenarios. Based on the risk assessment results and the consequence evaluations, controls are recommended to reduce the number of accidents and their impacts on people, property, and the environment. The result shows that driving through major roads, narrow bridges, and accident zones contributes to high risk. The controls include a vehicle monitoring and tracking system, maintaining the competency of drivers, and emergency response planning in the form of a journey management system. This journey management system focuses on four aspects: people, processes, equipment, and technology. After implementing this journey management system, accidents dropped from 48 to 3 in 3 years, demonstrating its potential for significant risk reduction. With every successful trip, the number of accidents reduced along with their severity, and the industry’s reputation has increased significantly.
{"title":"Mitigating road risks in the oil & gas industry: A comprehensive approach through journey risk management plans","authors":"Ajith Subbiah , Sudha Subburaj , Sivaprakash Muthukrishnan , Shatrudhan Pandey , Pradyut Anand","doi":"10.1016/j.jsasus.2025.03.002","DOIUrl":"10.1016/j.jsasus.2025.03.002","url":null,"abstract":"<div><div>Road accidents of hazardous chemical vehicles correlate with environmental impact and human loss. Precisely predicting accidental chemical leaks during transportation is crucial in improving accident management. It helps augment the safety of roadways, infrastructures, and human life. This study focuses on identifying the best route for the transportation of ammonia and liquefied natural gas (LNG), identifying possible hazards in the route, quantifying the risk, and providing controls to reduce the risk to as low as possible. The quantification of risk is estimated through dispersion modeling of accidental scenarios. Based on the risk assessment results and the consequence evaluations, controls are recommended to reduce the number of accidents and their impacts on people, property, and the environment. The result shows that driving through major roads, narrow bridges, and accident zones contributes to high risk. The controls include a vehicle monitoring and tracking system, maintaining the competency of drivers, and emergency response planning in the form of a journey management system. This journey management system focuses on four aspects: people, processes, equipment, and technology. After implementing this journey management system, accidents dropped from 48 to 3 in 3 years, demonstrating its potential for significant risk reduction. With every successful trip, the number of accidents reduced along with their severity, and the industry’s reputation has increased significantly.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 2","pages":"Pages 127-133"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518370","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}
Pub Date : 2025-06-01DOI: 10.1016/j.jsasus.2025.03.001
Naiping Li , Hongmei Shu , Daoyuan Sun
With the continuous advancement of deep mining, high-temperature environments pose severe challenges to miners' thermal comfort and occupational health. This study systematically summarizes the primary analytical indicators for studying human thermal comfort in deep mining high-temperature environments, compares the advantages and limitations of existing models, and addresses the difficulty in dynamically measuring thermal comfort parameters. A novel wearable pulse monitoring device is proposed, utilizing easily trackable pulse parameters as a critical indicator of thermal comfort. The dynamic quantitative relationships between environmental temperature and physiological responses are analyzed, establishing a dynamic thermal comfort prediction framework based on pulse parameters. This method offers real-time feedback and enhanced accuracy in reflecting miners’ heat stress states. Results demonstrate that the proposed framework significantly outperforms traditional approaches in high-temperature conditions, providing theoretical and technical foundations for optimizing thermal environments, enhancing heat stress protection, and enabling intelligent mine safety management. Future research will integrate multi-source data fusion and multi-field coupling analysis to advance precision and intelligence in deep mining thermal comfort studies.
{"title":"Human thermal comfort indicator in high-temperature environments in deep mining","authors":"Naiping Li , Hongmei Shu , Daoyuan Sun","doi":"10.1016/j.jsasus.2025.03.001","DOIUrl":"10.1016/j.jsasus.2025.03.001","url":null,"abstract":"<div><div>With the continuous advancement of deep mining, high-temperature environments pose severe challenges to miners' thermal comfort and occupational health. This study systematically summarizes the primary analytical indicators for studying human thermal comfort in deep mining high-temperature environments, compares the advantages and limitations of existing models, and addresses the difficulty in dynamically measuring thermal comfort parameters. A novel wearable pulse monitoring device is proposed, utilizing easily trackable pulse parameters as a critical indicator of thermal comfort. The dynamic quantitative relationships between environmental temperature and physiological responses are analyzed, establishing a dynamic thermal comfort prediction framework based on pulse parameters. This method offers real-time feedback and enhanced accuracy in reflecting miners’ heat stress states. Results demonstrate that the proposed framework significantly outperforms traditional approaches in high-temperature conditions, providing theoretical and technical foundations for optimizing thermal environments, enhancing heat stress protection, and enabling intelligent mine safety management. Future research will integrate multi-source data fusion and multi-field coupling analysis to advance precision and intelligence in deep mining thermal comfort studies.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 2","pages":"Pages 134-141"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518371","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}
Pub Date : 2025-06-01DOI: 10.1016/j.jsasus.2025.05.001
Xiaoping Zhang , Zihao Fan , Hongliang Wu , Junqiang Cong , Jialong Yang , Baoliang Wen
The drying of green pellets is a critical step in the pellet production process. To optimize and control the drying process of green pellets, it is essential to understand the green pellets moisture variation over time under different drying conditions. This study investigates the impact of various drying conditions on the drying characteristic of green pellets and evaluates the applicability of the Weibull and Dincer models in describing the drying process of green pellets. The results show that the drying process of green pellets can be divided into acceleration and deceleration periods, with no constant-rate period. Increasing the drying air temperature and air velocity, decreasing the drying layer weight, and reducing the green pellets diameter help shorten the drying completion time of green pellets. The Weibull and Dincer models can accurately describe the drying behavior of green pellets, providing a simple yet reliable method for determining the moisture diffusivity and mass transfer coefficient values during the drying process of green pellets. The calculations of β and Bi values suggest that the drying process of green pellets is limited by both internal and external moisture transfer resistances. The activation energy Ea value for the drying process of green pellets is calculated to be 13.56 kJ mol−1.
{"title":"Drying characteristics of green pellets based on the Weibull and Dincer models","authors":"Xiaoping Zhang , Zihao Fan , Hongliang Wu , Junqiang Cong , Jialong Yang , Baoliang Wen","doi":"10.1016/j.jsasus.2025.05.001","DOIUrl":"10.1016/j.jsasus.2025.05.001","url":null,"abstract":"<div><div>The drying of green pellets is a critical step in the pellet production process. To optimize and control the drying process of green pellets, it is essential to understand the green pellets moisture variation over time under different drying conditions. This study investigates the impact of various drying conditions on the drying characteristic of green pellets and evaluates the applicability of the Weibull and Dincer models in describing the drying process of green pellets. The results show that the drying process of green pellets can be divided into acceleration and deceleration periods, with no constant-rate period. Increasing the drying air temperature and air velocity, decreasing the drying layer weight, and reducing the green pellets diameter help shorten the drying completion time of green pellets. The Weibull and Dincer models can accurately describe the drying behavior of green pellets, providing a simple yet reliable method for determining the moisture diffusivity and mass transfer coefficient values during the drying process of green pellets. The calculations of <em>β</em> and <em>Bi</em> values suggest that the drying process of green pellets is limited by both internal and external moisture transfer resistances. The activation energy <em>E</em><sub><em>a</em></sub> value for the drying process of green pellets is calculated to be 13.56 kJ mol<sup>−1</sup>.</div></div>","PeriodicalId":100831,"journal":{"name":"Journal of Safety and Sustainability","volume":"2 2","pages":"Pages 104-112"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518368","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}
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