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Genserik Reniers
Delft University of Technology
Risk assessmentEngineeringBusinessReliability engineeringDomino
411Publications
26H-index
2,221Citations
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Publications 456
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Abstract Emergency response was usually not taken into account in the analysis of safety barriers to prevent fire-induced domino effects. When emergency response is considered, in addition to failure events, successful events may also have an impact on fire escalation, and there may be a dependency between pre- and post-events. To model such events and carry out probability analysis, a probabilistic Petri-net (PPN) approach is proposed. The definition of a PPN with the complementary arc and its ...
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#1Chao Chen (TU Delft: Delft University of Technology)H-Index: 7
#2Genserik Reniers (TU Delft: Delft University of Technology)H-Index: 26
Abstract Safety risks have become an obstacle to the sustainability of the chemical industry in China since many chemical companies were forced to close down by China’s government in the past three years. This study investigates chemical safety in China in order to identify the causes of the major accidents and accompanying casualties, formulating the safety management needs to develop a sustainable chemical industry in China. First, we analyze the evolution and current status of China’s chemica...
3 CitationsSource
#1Chao ChenH-Index: 7
#2Nima KhakzadH-Index: 20
Last. Genserik ReniersH-Index: 26
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Abstract Vapor cloud explosion (VCE) accidents in recent years such as the Buncefield accident in 2005 indicate that VCEs in process plants may lead to unpredicted overpressures, resulting in catastrophic disasters. Although a lot of attempts have been done to assess VCEs in process plants, little attention has been paid to the spatial-temporal evolution of VCEs. This study, therefore, aims to develop a dynamic methodology based on discrete dynamic event tree to assess the likelihood of VCEs and...
1 CitationsSource
#1Yunfeng Yang (SCUT: South China University of Technology)H-Index: 1
#2Guohua Chen (SCUT: South China University of Technology)H-Index: 6
Last. Floris Goerlandt (Dal: Dalhousie University)H-Index: 22
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Abstract Along with the expansion of China's chemical industry, a series of catastrophic chemical accidents have occurred, often with severe human casualties, resulting in adverse effects on the sustainable development. In line with these developments, process safety research is also developing rapidly in China. This paper aims to present insights in the progress of process safety research in China using bibliometric analysis. The results indicate that in China the most productive authors, insti...
4 CitationsSource
#1Peter Schmitz (TU Delft: Delft University of Technology)H-Index: 1
#2Paul Swuste (TU Delft: Delft University of Technology)H-Index: 19
Last. Karolien van Nunen (TU Delft: Delft University of Technology)
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Abstract A Safety Research project was carried out in an ammonia plant of OCI Nitrogen, located at the Chemelot site in Geleen, The Netherlands. This research focused on the development of a method to monitor accident processes in the chemical industry mainly caused by mechanical integrity of static equipment like vessels, tanks and heat exchangers. A significant part of the mechanical integrity failure scenarios originates from material degradation and corrosion mechanisms which may develop ove...
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#1Jie Li (Shanghai Maritime University)H-Index: 2
#2Floris Goerlandt (Dal: Dalhousie University)H-Index: 22
Last. Genserik Reniers (TU Delft: Delft University of Technology)H-Index: 26
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Abstract Dr. Kletz is one the pioneers in the process safety area, known widely for his work on inherent safety design and loss prevention. He worked 38 years in Imperial Chemical Industries, and became a fulltime researcher only after his retirement. He published more than 200 papers and 15 books during his retirement. The intellectual basis analysis presented in this article shows that he frequently cited his books in his articles, indicating that his industrial experience was very influential...
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Risk communication is a significant research domain with practical importance in supporting societal risk governance and informed private decision making. In this article, a high-level analysis of the risk communication research domain is performed using scientometrics methods and visualization tools. Output trends and geographical patterns are identified, and patterns in scientific categories determined. A journal distribution analysis provides insights into dominant journals and the domain’s i...
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#1Jie Li (Shanghai Maritime University)H-Index: 2
#2Floris Goerlandt (Dal: Dalhousie University)H-Index: 22
Last. Bin ZhangH-Index: 1
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Abstract Dr. M. Sam Mannan is one of the true pioneers in the process safety area, spending almost his entire lifetime in process safety and risk research. He was dedicated to ‘make safety second nature’ and published an impressive body of work. An overview of his research helps understanding the process safety area and provides insight in the legacy of this process safety pioneer. In this paper, 327 publications authored by Dr. Mannan from 1999 to 2019 in Web of Science core collection were dow...
1 CitationsSource
#1Jie Li (Shanghai Maritime University)H-Index: 2
#2Floris Goerlandt (Dal: Dalhousie University)H-Index: 22
Last. Genserik Reniers (TU Delft: Delft University of Technology)H-Index: 26
view all 3 authors...
Abstract Over the last decades, process safety has been an important area of academic inquiry, aiming to build knowledge which can contribute to reduce the occurrence of industrial accidents in the process and chemical industries, or to mitigate their consequences. Knowledge in this interdisciplinary research domain is created using applied science, engineering, organizational, and social science approaches. This article provides a retrospective overview of the process safety research field, thr...
2 CitationsSource
#1Sobhan Sarkar (IIT-KGP: Indian Institute of Technology Kharagpur)H-Index: 8
#2Anima Pramanik (IIT-KGP: Indian Institute of Technology Kharagpur)H-Index: 1
Last. Genserik Reniers (TU Delft: Delft University of Technology)H-Index: 26
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Abstract Although the utility of the machine learning (ML) techniques is established in occupational accident domain using reactive data, its exploration in predicting injury severity using both reactive and proactive data is new. This necessitates the investigation of the significance of both types of data in prediction of injury severity using ML techniques. In addition, the unstructured texts, and class-imbalance in data often create difficulty in analysis. Therefore, to address the above-men...
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