دورية أكاديمية

Development of a new CVAP structural analysis methodology of APR1400 reactor internals using scaled model tests

التفاصيل البيبلوغرافية
العنوان: Development of a new CVAP structural analysis methodology of APR1400 reactor internals using scaled model tests
المؤلفون: Jongsung Moon, Inseong Jin, Doyoung Ko, Kyuhyung Kim
المصدر: Nuclear Engineering and Technology, Vol 56, Iss 1, Pp 309-316 (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Nuclear engineering. Atomic power
مصطلحات موضوعية: Reactor internals, APR1400, CVAP, Vibration, Response analysis, Nuclear engineering. Atomic power, TK9001-9401
الوصف: The U.S. Nuclear Regulatory Commission (NRC) Regulatory Guide (RG) 1.20 provides guidance on the comprehensive vibration assessment program (CVAP) to be performed on reactor internals during pre-operational and startup tests. The purpose of the program is to identify loads that could cause vibration in the reactor internals and to ensure that these vibrations do not affect their structural integrity. The structural vibrational analysis program involves creating finite element analysis models of the reactor internals and calculating their structural responses when subjected to vibration loads. The appropriateness of the structural analysis methodology must be demonstrated through benchmarks or any other reasonable means. Although existing structural analysis methodologies have been proven to be appropriate and are widely used, this paper presents the development of an improved new structural analysis methodology for APR1400 reactor internals using scaled model tests.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1738-5733
العلاقة: http://www.sciencedirect.com/science/article/pii/S1738573323004497Test; https://doaj.org/toc/1738-5733Test
DOI: 10.1016/j.net.2023.10.002
الوصول الحر: https://doaj.org/article/b57aed48baa845339c9d817864c32408Test
رقم الانضمام: edsdoj.b57aed48baa845339c9d817864c32408
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:17385733
DOI:10.1016/j.net.2023.10.002