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UID:122777-1701090000-1701093600@euradschool.eu
SUMMARY:Lunch & Learn | Beyond conventional methods: The role of ANN in nuclear waste management
DESCRIPTION:In this talk\, Virginie Solans will present the role of Artificial Neural Networks (ANNs) in a nuclear waste management context and explain how ANNs are reshaping conventional methods. ANNs are an example of machine learning\, where typically large amounts of data are analysed. \nAfter a brief introduction to ANNs\, she will provide examples of where ANNs are proposed to be used in the nuclear context and of relevance to nuclear waste management. Such developments are requested in the safeguards community already today to increase the effectiveness and efficiency of nuclear material verification and can be adopted as an inspiration for the waste community and its plans for the verification of fuel in the coming decades. \nOne example is detecting and classifying particle defects in spent nuclear fuel assemblies. The Partial Defect Tester (PDET) is an instrument proposed to investigate the integrity of irradiated nuclear fuel assemblies by analysing the gamma and neutron flux inside the fuel assembly. Researchers have proposed to analyse the data from PDET using ANNs\, aiming to identify if missing or replaced fuel material in a spent nuclear fuel assembly. Such verifications are particularly important before disposal in a geological repository\, after which further verification is not possible. Another application is the anomaly detection using the Next Generation Surveillance System Camera Data. The ANN could assist IAEA safeguards inspectors to identify unexpected activity in nuclear facilities\, including in facilities linked to the final disposal of nuclear waste. \nFinally\, Viriginie will present her own work that specialises in predicting safety parameters for fuel to be encapsulated. She will demonstrate how ANNs can be used to predict the effective multiplication factor (keff)\, a parameter for criticality-safety\, for different canister loading using the radionuclides concentrations. This ANN can take advantage of the heterogeneity of the spent nuclear fuels irradiation history\, including how the ANN can even capture changes in the canister keff when spent nuclear fuels are axially rotated. She will also demonstrate how ANNs can be used to predict the decay heat from experimental measurements planned to be performed before encapsulation and how it can be used to verify state-of-the-art calculations. \nThis presentation aims to show the large range of possibilities that ANN offers to help with the different aspects of nuclear waste management and how it might be used in the future. \nSpeaker: Virginie Solans (Uppsala Univeristy) \nClick here to watch the recording this Lunch & Learn session. \nClick here to download the presentation. \nClick here to view all Lunch & Learn sessions.
URL:https://euradschool.eu/event/lunch-learn-beyond-conventional-methods-the-role-of-ann-in-nuclear-waste-management/
LOCATION:Online
CATEGORIES:EURAD webinar
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DTSTART;TZID=Europe/Brussels:20231129T120000
DTEND;TZID=Europe/Brussels:20231129T130000
DTSTAMP:20240126T094831Z
CREATED:20231123T095638Z
LAST-MODIFIED:20240126T094831Z
UID:122856-1701259200-1701262800@euradschool.eu
SUMMARY:Lunch & Learn | Tailoring the digital transition to the challenges of geological disposal in Japan
DESCRIPTION:Based on the huge volume of raw and processed information (here grouped as “knowledge”) to be handled in a national geological disposal programme\, it is no longer a question of whether advanced KMS will be introduced into radwaste management programmes or not – only whether such systems can be developed and implemented before total collapse of conventional approaches.\nThe Japanese decision to rapidly move into advanced KM was driven by the boundary conditions of the large and diverse nuclear programme\, with special considerations resulting from required responses to the Fukushima Daiichi accident. In particular\, imminent loss of many experienced staff as they retire leaves only a small window to capture tacit knowledge (a common problem throughout the nuclear industry).\nThe basic concept of the KMS under development is to structure knowledge according to the logical structure of an integrated “Safety Case” that brings together key pre- and post-closure safety goals together with closely related requirements\, such as minimising environmental impacts and assuring public acceptance. The incorporated functionality supports synthesis and integration of material from diverse sources\, identifying trends and inconsistencies\, and providing feedback to data producers. It should assure the flexibility to cope with a rapidly-growing\, technically-diverse knowledge base and the user-friendliness required to encourage its adoption. For these purpose\, maximum use of advanced electronic information management technology is critical.\nIn this presentation\, such development of an integrated digital KMS for geological disposal as part of NUMO’s digital transformation is illustrated and future challenges discussed. \nSpeaker: Dr. Hiroyuki Umeki \nClick here to watch the recording of this Lunch & Learn session. \nClick here to view all Lunch & Learn sessions.
URL:https://euradschool.eu/event/lunch-learn-tailoring-the-digital-transition-to-the-challenges-of-geological-disposal-in-japan/
LOCATION:Online
CATEGORIES:EURAD webinar
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