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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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GAO: Grouting Hanford tank waste could cost more than $1.1B
Workers move a container of treated tank waste as part of Hanford’s Test Bed Initiative to grout around 2,000 gallons of LAW for off-site disposal. (Photo: DOE)
Grouting Hanford’s low-level radioactive liquid tank waste could cost between $480 million and $1.1 billion, according to a report by the Government Accountability Office, which has repeatedly found that grouting (immobilizing waste in a concrete-like mixture) can accelerate cleanup at the Hanford Site and save billions of dollars when compared to mixing the waste with molten glass through the vitrification process.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Tuesday, June 15, 2021|4:30–6:15PM EDT
Session Chair:
Fan Zhang (University of Tennessee-Knoxville)
Alternate Chair:
Jamie B. Coble (University of Tennessee-Knoxville)
Session Organizer:
Staff Producer:
Ashley Jiminian (ANS)
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Presentation Video (Visible to Attendees) — Dr. Xiao
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Artificial Reasoning System for Symptom-Based Conditional Failure Probability Estimation Using Bayesian Network
Xingang Zhao (ORNL), Michael Golay (MIT)
Paper
Nuclear Power Prognostic Model Assessment for Component Health Monitoring
Pradeep Ramuhalli (ORNL), Cody Walker (INL), Vivek Agarwal (INL), Nancy Lybeck (INL)
Multi-Fault System Prognostics of Maintenance Dependent Processes in Nuclear Power Plants
Hang Xiao (Univ. of Tennessee Knoxville), Alex Hines (Univ. of Tennessee Knoxville), Fan Zhang (Univ. of Tennessee Knoxville), Jamie B. Coble (Univ. of Tennessee Knoxville), J. Wes Hines (Univ. of Tennessee Knoxville)
Combining System Architecture Modelling with Dynamic Process Simulation for Early Stage Fault and Effect Analysis
Joonas Linnosmaa (VTT Technical Research Centre of Finland), André A. Hauge (Institute for Energy Technology), Fabien Sechi (Institute for Energy Technology), Miki Sirola (Aalto Univ.)
A Process to Assess Latent Failure Risk in Sequential Control Logic During a FMEA
M. McCarthy (Kinectrics), D. K. Masrani (Kinectrics), A. Vieira (Kinectrics)