1,720,982 research outputs found
Safety and Reliability, Tutorials Notes of ESREL 2001, an International Conference on Safety and Reliability, September 16-20, 2001, Torino, Italy.
No full textPolitecnico di Torino, 200
Safety and Reliability. Tutorial Notes of ESREL 2001, An International Conference on Safety and Reliability, September 16-20, 2001, Torino, Italy
No full textSafety and Reliability, Proceedings of ESREL 2001, an International Conference on Safety and Reliability, September 16-20, 2001, Torino, Italy
No full textPolitecnico di Torino, 200
The systematic integration of Human Factors into safety analyses: an integrated engineering approach
No full textThe performance of the human reliability analysis (HRA) and integration of its outcomes into quantitative risk assessment schemes remains quite a difficult and complex task to perform. Even worse is the assessment of organisational reliability assessment. The reasons of this difficulty mainly lay on the absence of a generically accepted paradigm that enables engineers to include systematically human and organisational factors (H&OF) into the analysis. Broadly speaking, engineering approaches very often account for error of omission forgetting the errors of commission (EOC), and, on top of that, they do not make any macro distinction between pre- and post-initiating human failures. This paper offers a paradigm on how to integrate H&OF into safety analysis by means of the recursive operability analysis (ROA), which has been adapted to accommodate H&OF, and renamed integrated recursive operability analysis (IROA). By means of a practical example, the method will illustrate how to account for H&OF in a systematic and consistent manner using an engineering approach. The paper will even provide a paradigm for the construction of integrated fault trees consistent with the IROA framewor
“Vulnerability of masonry building types in Catania”
No full textin E. Zio, M. Demichela & N. Piccinini (eds
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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