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contributor authorRichet, Victor
contributor authorPiochaud, Sarah
contributor authorAlaoui, Mouna El
contributor authorPlana, Robert
date accessioned2025-04-21T10:26:05Z
date available2025-04-21T10:26:05Z
date copyright5/10/2024 12:00:00 AM
date issued2024
identifier issn2332-8983
identifier otherners_011_01_012202.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4306187
description abstractNuclear projects often produce and consume a large amount of knowledge. Capitalization on this knowledge constitutes a significant way to increase efficiency on subsequent projects for any stakeholder. In this study, modeling is used as a main approach to support this capitalization. It constitutes, through graphical layout, a more reliable and robust way to transfer information. Moreover, the use of an interconnected set of models enables organizations to break the silos between the disciplines. The approach proposed is based on the operational implementation of existing “on-the-shelf” elements to benefit from previous implementations. The presented example illustrates how, on a nuclear project, engineering processes have been modeled from knowledge of previous projects. These components are all interconnected to constitute a self-supporting set of models as a body of knowledge. The use of models as a main base for knowledge management and transfer has been initiated due to (i) increased traceability of design decisions and impact analysis required by ever-increasing safety requirements from 1980s, 1990s, and Fukushima accident for new nuclear and (ii) gradual departures of design teams and lifetime extension of existing power plants requiring efficient ways to pass down knowledge to newcomers. Additionally, transfer of knowledge from document-centric to model-centric has enabled securitization of interfaces (between organizations, between systems) due to more numerous stakeholders and reduction of rework and site works.
publisherThe American Society of Mechanical Engineers (ASME)
titleUse of Modeling as an Enabler for Cross-Topic Knowledge Management and Ontologies to Support Return of Experience and Replicability of Large Nuclear Projects
typeJournal Paper
journal volume11
journal issue1
journal titleJournal of Nuclear Engineering and Radiation Science
identifier doi10.1115/1.4064466
journal fristpage12202-1
journal lastpage12202-10
page10
treeJournal of Nuclear Engineering and Radiation Science:;2024:;volume( 011 ):;issue: 001
contenttypeFulltext


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