Article
Construction & Building Technology
Xin Chen, Qingsong Zhang, Rentai Liu, Xiaofeng Wang, Wanli He
Summary: Inspection robots are rarely used in metro tunnels due to the unbalanced technical indicators. This study proposes a method to develop a maintenance strategy and assess the life-cycle cost of inspection robots in metro tunnels. It is found that the inspection cycle has a non-linear relationship with the life-cycle cost, and the detection accuracy of the inspection subject is negatively correlated with the cost. An evaluation model is established to guide the intervention indexes of the inspection robot.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Chemistry, Physical
Jennifer X. Wen, Marta Marono, Pietro Moretto, Ernst-Arndt Reinecke, Pratap Sathiah, Etienne Studer, Elena Vyazmina, Daniele Melideo
Summary: This paper firstly describes the data collection and validation process for the European Hydrogen Incidents and Accidents Database (HIAD 2.0), followed by the approaches used by the authors to derive lessons learned and formulate recommendations from the events. The lessons learned and recommendations have important implications for promoting and assisting the development of sound safety culture in organizations.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Engineering, Civil
Wouter Jan Klerk, Vera van Bergeijk, Wim Kanning, Rogier Wolfert, Matthijs Kok
Summary: This paper examines the reliability of flood defence systems under shock-based degradation and compares different maintenance concepts. The results show that the current maintenance concept fails to meet the reliability requirements for revetment failure. Additional inspections and targeted interventions can significantly reduce total cost and improve the robustness of flood defence systems.
Article
Computer Science, Information Systems
Ahmet Kolus
Summary: The objective of this study is to integrate human factors that affect maintenance performance in delay-time modelling to obtain an accurate and realistic optimal inspection interval. A list of human factors is identified through a literature review and three significant factors are selected to be incorporated into the model. Fuzzy modeling is used to estimate a time allowance for human factors. Two inspection models are developed and validated against a realistic case study. The results show that failing to account for human factors increases inspection frequency and interruptions of production, resulting in decreased inspection time and operator performance. The developed models and conceptual framework can help decision makers set an accurate inspection duration and design maintenance systems with superior long-term performance.
Article
Construction & Building Technology
Desai Guo, Zhanping Song, Tian Xu, Yuwei Zhang, Libo Ding
Summary: Multiple risk factors are involved in tunnel construction accidents, which emphasizes the significance of evaluating multi-factor risk mechanisms and measuring coupling risks in tunnel construction safety. This study investigated the risk components of tunnel construction under complex geology and construction factors, using 101 tunnel construction accidents as examples. N-K and coupling degree models were introduced for risk analysis, enabling the calculation of coupling degrees for each component. The correlation between tunnel construction risk value and each risk component was also analyzed.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Engineering, Multidisciplinary
Adenen Aziz, Mohamad Abu Ubaidah Amir, A. j Roshamida, Iqbal Shamsudheen, Elmi Shafik Mad Sariff, Ainul Rahman, Afiqah Rosly
Summary: Helicopter ditching is a rare case of controlled emergency landing on water. The causes of helicopter ditching incidents are not well understood. This study examined helicopter ditching incidents reported during 1983-2018 and categorized the documented causes into risk factors. Out of 16 incidents, 11 were due to system failure and 3 were attributed to weather conditions. Structural failure and the human factor posed the lowest risk for helicopter ditching. Understanding the risk factors provides preliminary information for future risk assessment, and future work should include evaluating the likelihood and effects of risks as well as mitigation plans when a helicopter ditches.
JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Industrial
Yahia Halabi, Hu Xu, Danbing Long, Yuhang Chen, Zhixiang Yu, Fares Alhaek, Wael Alhaddad
Summary: This study examines the leading factors of 23,057 fall accidents in the US construction industry over 20 years, finding that there are significant correlations under certain conditions. It also establishes a predictive model that can accurately diagnose the injury severity of accidents, providing technical support and recommendations for reducing fall accidents.
Article
Engineering, Industrial
Elizabeth Bismut, Daniel Straub
Summary: This paper presents a heuristic-based approach using simple decision rules to optimize inspection and maintenance plans for large structures. The method involves adaptive planning to continuously adjust the initial I&M plan throughout the service life based on past inspection and monitoring results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Food Science & Technology
K. Torma, E. Kaukonen, J. Lunden, M. Fredriksson-Ahomaa, R. Laukkanen-Ninios
Summary: Comprehensive, reliable, and comparable meat inspection (MI) data are essential for monitoring and regulating the health and welfare of broiler chickens. However, there are differences and incomparability between different slaughterhouses regarding MI criteria and condemnation causes. Only when the differences and reliability of the data are known can they be used for monitoring and surveillance purposes. Harmonizing the condemnations of carcasses with diseases that most threaten broiler health and welfare and cause the largest economic losses is important.
Review
Geriatrics & Gerontology
Leonardo Santos Rocha Pitta, Juliana Lima Quintas, Isabela Oliveira Azevedo Trindade, Patricia Belchior, Keli da Silva Duarte Gameiro, Ciro Martins Gomes, Otavio Toledo Nobrega, Einstein Francisco Camargos
Summary: Based on a systematic review of 14 studies, it was found that older drivers tend to have higher rates of involvement in fatal crashes compared to non-older drivers. Age was identified as a significant factor contributing to the higher involvement rates among older individuals.
ARCHIVES OF GERONTOLOGY AND GERIATRICS
(2021)
Article
Environmental Sciences
Liudmila Liutsko, Deborah Oughton, Adelaida Sarukhan, Elisabeth Cardis
Summary: This paper provides an overview of the SHAMISEN Recommendations for Preparedness and Health Surveillance of Populations Affected by a Radiation Accident, which includes general recommendations applicable across all phases of an accident and specific recommendations for each phase. The recommendations cover various topics such as health surveillance, epidemiological studies, dose reconstruction, evacuation, and training.
ENVIRONMENT INTERNATIONAL
(2021)
Article
Clinical Neurology
Jussi P. Posti, Jori O. Ruuskanen, Ville Kyto
Summary: The study found that adults with epilepsy have a significantly increased risk of traumatic brain injury (TBI), emphasizing the importance of TBI prevention in epilepsy.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Review
Sport Sciences
Kim Buchholtz, Mike Lambert, Lieselotte Corten, Theresa L. Burgess
Summary: Cross-country mountain biking events present challenges with remote venues and isolated courses, often providing on-site medical care for injuries and illnesses. Studies have shown that 4 to 71% of participants sustain injuries during these events, with skin injuries being the most common, followed by bony injuries and concussion. Gastrointestinal symptoms post-event were reported by 5 to 47% of cyclists, and the prevalence of illness during events ranged from 0.5% to 23.0%.
SPORTS MEDICINE-OPEN
(2021)
Article
Environmental Sciences
Xavier Basagana, Carlos de la Pena-Ramirez
Summary: A study found that cold or hot ambient temperatures increase the risk of motor vehicle crashes in Spain. The study showed a linear increase in the risk of crashes with rising temperatures, and crashes with driver performance-associated factors had a higher risk.
ENVIRONMENTAL RESEARCH
(2023)
Article
Engineering, Industrial
Huanhuan Li, Xujie Ren, Zaili Yang
Summary: This paper conducts a risk analysis in the maritime sector by incorporating the latest maritime accident data into a Bayesian network model. It identifies key risk influential factors and provides new findings and implications. The new risk model offers reliable and accurate prediction results, contributing to the development of rational accident prevention measures in the complex shipping environment.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Multidisciplinary Sciences
Fan Geng, David B. Gomez, Yue Guan, Joseph Homer Saleh
Article
Multidisciplinary Sciences
Rachmat Subagia, Joseph Homer Saleh, Jared S. Churchwell, Katherine S. Zhang
Article
Construction & Building Technology
Styliani Kampezidou, Archana Tikayat Ray, Scott Duncan, Michael G. Balchanos, Dimitri N. Mavris
Summary: An indoor occupancy estimator is proposed, which can identify the room's occupancy state based on limited CO2 and temperature measurements with 97% accuracy. The method utilizes a physics-informed pattern-recognition machine for real-time estimation of occupancy changes.
ENERGY AND BUILDINGS
(2021)
Article
Computer Science, Hardware & Architecture
Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh
Summary: This article addresses three prevalent challenges in data-driven RUL prediction and proposes a highly accurate RUL prediction model with uncertainty quantification. Experimental results on NASA's turbofan engine dataset show that the proposed DL-NSGPR model outperforms other competing RUL models in terms of accuracy and uncertainty bounds.
IEEE TRANSACTIONS ON RELIABILITY
(2022)
Article
Engineering, Aerospace
Archana Tikayat Ray, Bjorn F. Cole, Olivia J. Pinon J. Fischer, Ryan T. White, Dimitri N. Mavris
Summary: The complexity of current systems requires an integrated approach to system design. Natural Language requirements pose challenges for model-based systems engineering, but Natural Language Processing has potential in converting these requirements into a machine-readable format. This paper presents an annotated aerospace requirements corpus and introduces a new language model, aeroBERT-Classifier, for classifying aerospace requirements. The paper also compares the performance of aeroBERT-Classifier with other text classification models and demonstrates its superiority.
Article
Social Sciences, Interdisciplinary
Archana Tikayat Ray, Bjorn F. Cole, Olivia Pinon J. Fischer, Anirudh Prabhakara Bhat, Ryan T. White, Dimitri N. Mavris
Summary: The complexity of modern systems requires an integrated approach to system design and a shift toward Model-Based Systems Engineering (MBSE) using Natural Language (NL) requirements. However, NL requirements lack structure and hinder their translation into models. This paper presents a two-fold strategy using language models to convert NL requirements into machine-readable requirements. The effectiveness of the methodologies is demonstrated through the creation of boilerplates for specific requirements.
Article
Computer Science, Information Systems
Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh
Summary: This study introduces a novel fire detection method using deep LSTM neural networks and VAE, which outperforms other methods in high-fidelity simulations and real-world experiments, showing statistically significant improvements in alarm time lag and accuracy compared to alternative methods.
Article
Computer Science, Information Systems
Zhaoyi Xu, Yanjie Guo, Joseph Homer Saleh
Summary: This study focuses on visual fire detection using a deep convolutional generative adversarial network (DCGAN). The model effectively addresses overfitting, overestimation, and underestimation issues when training with limited datasets.
