Identification of Mechanical Parameters of Kyeongju Bentonite Based on Artificial Neural Network Technique-Reference-Cited by-同舟云学术

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Identification of Mechanical Parameters of Kyeongju Bentonite Based on Artificial Neural Network Technique

Published:2022-09-30 Issue:3 Volume:20 Page:269-278
ISSN:1738-1894
Container-title:Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
language:
Short-container-title:J. of Nucl. Fuel Cycle and waste Technol.

Author:

Kim Minseop, ,Lee Seungrae,Yoon Seok,Jeon Min-Kyung

Publisher

The Korean Radioactive Waste Society

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

http://fulltext.koreascholar.com/service/pdf.aspx?pdf=VxjylPjUIek=

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Concepts of heat dissipation of a disposal canister and its computational analysis;Nuclear Engineering and Technology;2023-11

2. Prediction Model for Saturated Hydraulic Conductivity of Bentonite Buffer Materials for an Engineered-Barrier System in a High-Level Radioactive Waste Repository;Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT);2023-06-30

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