title: ÐÐ½Ð°Ð»Ð¸Ð· Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐ¿Ð»Ð¾Ð²Ð¾Ð³Ð¾ Ð½ÐµÑÐ°Ð·ÑÑÑÐ°ÑÑÐµÐ³Ð¾ Ð¼ÐµÑÐ¾Ð´Ð° ÐºÐ¾Ð½ÑÑÐ¾Ð»Ñ Ð´Ð»Ñ Ð´Ð¸Ð°Ð³Ð½Ð¾ÑÑÐ¸ÐºÐ¸ ÑÑÐ¾Ð½ÐµÐ½Ð¸Ñ ÑÑÐµÐ½ÐºÐ¸ ÑÑÑÐ±Ð¾Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¾Ð² ÐÐ­Ð¡
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Analysis of using thermal non-destructive evaluation method for diagnosing Nuclear Power Plant pipeline wall thinning
Creators: name: ÐÑÐ»ÑÐ±Ð°ÑÐ°Ñ, Ð¡ÐµÐ¹ÑÐ¸
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÑÐ¾Ð¼Ð½ÑÐµ ÑÐ»ÐµÐºÑÑÐ¸ÑÐµÑÐºÐ¸Ðµ ÑÑÐ°Ð½ÑÐ¸Ð¸
ÑÑÐ¾Ð½ÐµÐ½Ð¸Ðµ ÑÑÐµÐ½ÐºÐ¸ ÑÑÑÐ±Ð¾Ð¿ÑÐ¾Ð²Ð¾Ð´Ð°
ÑÑÐºÐ¾ÑÐµÐ½Ð½Ð°Ñ ÐºÐ¾ÑÑÐ¾Ð·Ð¸Ñ
Ð¼ÐµÑÐ¾Ð´ ÑÐµÑÐ¼Ð¸ÑÐµÑÐºÐ¾Ð¹ Ð½ÐµÑÐ°Ð·ÑÑÑÐ°ÑÑÐµÐ¹ Ð¾ÑÐµÐ½ÐºÐ¸
npp pipeline wall thinning
flow accelerated corrosion
thermal non-destructive evaluation method

description: ÐÐ¾ÑÑÐ¾Ð·Ð¸Ñ, ÑÑÐºÐ¾ÑÑÐµÐ¼Ð°Ñ Ð¿Ð¾ÑÐ¾ÐºÐ¾Ð¼ (FAC), ÑÐ²Ð»ÑÐµÑÑÑ ÑÐµÑÑÐµÐ·Ð½Ð¾Ð¹ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼Ð¾Ð¹ Ð½Ð° Ð°ÑÐ¾Ð¼Ð½ÑÑ ÑÐ»ÐµÐºÑÑÐ¾ÑÑÐ°Ð½ÑÐ¸ÑÑ, Ð¿ÑÐ¸Ð²Ð¾Ð´ÑÑÐµÐ¹ Ðº Ð°Ð²Ð°ÑÐ¸ÑÐ¼, ÑÐ¼ÐµÑÑÐµÐ»ÑÐ½ÑÐ¼ ÑÐ»ÑÑÐ°ÑÐ¼ Ð¸ Ð¾ÑÐºÐ»ÑÑÐµÐ½Ð¸ÑÐ¼. ÐÐ´Ð½Ð°ÐºÐ¾ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¼ÐµÑÐ¾Ð´Ñ Ð¸Ð´ÐµÐ½ÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ FAC Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð´Ð¾ÑÐ¾Ð³Ð¾ÑÑÐ¾ÑÑÐ¸Ð¼Ð¸ Ð¸ ÑÑÐµÐ±ÑÑÑ Ð¼Ð½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð´Ð»Ñ ÑÑÑÐ°Ð½Ð¾Ð²ÐºÐ¸. Ð Ð´Ð°Ð½Ð½Ð¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¸ Ð¼Ñ ÑÑÑÐµÐ¼Ð¸Ð»Ð¸ÑÑ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶Ð¸ÑÑ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐ½ÑÐ¹ Ð¸ Ð¿ÑÐ¾ÑÑÐ¾Ð¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ÑÑÐ¾Ð½ÑÐµÐ½Ð¸Ñ ÑÑÐµÐ½Ð¾Ðº ÑÑÑÐ±, Ð²ÑÐ·Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ FAC, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² Ð¸Ð·Ð¼ÐµÑÐµÐ½Ð¸Ð¸ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ Ð¿Ð¾Ð²ÐµÑÑÐ½Ð¾ÑÑÐ¸ ÑÑÑÐ±Ñ. ÐÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð»Ð¸ ÑÑÐ°ÑÐ¸Ð¾Ð½Ð°ÑÐ½Ð¾Ðµ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ðµ ÑÐµÐ¼Ð¿ÐµÑÐ°ÑÑÑÑ ÑÑÐµÐ½ÐºÐ¸ ÑÑÑÐ±Ñ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¸Ð½Ð´Ð¸ÐºÐ°ÑÐ¾ÑÐ° Ð¸Ð·Ð½Ð¾ÑÐ° Ð¸ ÑÐ¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð»Ð¸ ÑÑÐ¾Ñ Ð¿ÑÐ¾ÑÐµÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ ANSYS steady-state thermal, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð·Ð°ÑÐµÐ¼ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð»Ð¸ Ðº ÑÐ¸ÑÑÐµÐ¼Ðµ KBA Ð¿ÑÐ¸ ÑÐµÑÑÑÐµÑ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÑ ÑÑÐ»Ð¾Ð²Ð¸ÑÑ. ÐÐ°ÑÐµÐ¼ Ð¼Ñ Ð¾Ð±ÑÑÐ¸Ð»Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð³ÐµÐ½Ð½Ð¾Ð¹ ÑÐºÑÐ¿ÑÐµÑÑÐ¸Ð¸ (GEP) Ð½Ð° Ð´Ð°Ð½Ð½ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ KBA Ð´Ð»Ñ Ð¾ÑÐµÐ½ÐºÐ¸ ÑÑÐ¾Ð½ÐµÐ½Ð¸Ñ ÑÑÐµÐ½ÐºÐ¸ Ð¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»Ð¸Ð»Ð¸ ÑÐ¾ÑÐ½Ð¾ÑÑÑ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð°, ÑÐ¾Ð·Ð´Ð°Ð² Ð¾ÑÐ´ÐµÐ»ÑÐ½ÑÐµ ÑÐµÑÑÐ¾Ð²ÑÐµ Ð´Ð°Ð½Ð½ÑÐµ. ÐÑ Ð¾Ð±Ð½Ð°ÑÑÐ¶Ð¸Ð»Ð¸, ÑÑÐ¾ Ð¾ÑÐ¸Ð±ÐºÐ° Ð¾ÑÐµÐ½ÐºÐ¸ ÑÐ¾Ð»ÑÐ¸Ð½Ñ ÑÑÐµÐ½ÐºÐ¸ ÑÐ¾ÑÑÐ°Ð²Ð¸Ð»Ð° Ð¾ÐºÐ¾Ð»Ð¾ 2 % Ð´Ð»Ñ ÑÑÐµÑ Ð¸Ð· ÑÐµÑÑÑÐµÑ ÑÐ»ÑÑÐ°ÐµÐ² Ð¸ 7 % Ð´Ð»Ñ Ð¿Ð¾ÑÐ»ÐµÐ´Ð½ÐµÐ³Ð¾ ÑÐ»ÑÑÐ°Ñ. ÐÐ¾ÑÐºÐ¾Ð»ÑÐºÑ ÑÑÐ¾Ð²ÐµÐ½Ñ Ð¾ÑÐ¸Ð±Ð¾Ðº Ð²Ð¾ Ð²ÑÐµÑ ÑÐ»ÑÑÐ°ÑÑ Ð±ÑÐ» Ð½Ð¸Ð¶Ðµ 10 %, Ð¼Ñ Ð¿ÑÐµÐ´Ð¿Ð¾Ð»Ð°Ð³Ð°ÐµÐ¼, ÑÑÐ¾ Ð´Ð°Ð½Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ð¼Ð¾Ð¶ÐµÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½ Ð² ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ° ÑÐ°Ð½Ð½ÐµÐ³Ð¾ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¸ÑÑÐ¾Ð½ÑÐµÐ½Ð¸Ñ ÑÑÐµÐ½ÐºÐ¸ ÑÑÑÐ±Ñ, Ð²ÑÐ·Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ FAC. ÐÑÐ¾Ð¼Ðµ ÑÐ¾Ð³Ð¾, ÑÑÐ¾Ñ Ð¿Ð¾Ð´ÑÐ¾Ð´ ÑÑÑÐµÐºÑÐ¸Ð²ÐµÐ½, Ð½Ðµ ÑÑÐµÐ±ÑÐµÑ Ð´Ð¾ÑÐ¾Ð³Ð¾ÑÑÐ¾ÑÑÐµÐ³Ð¾ Ð¾Ð±Ð¾ÑÑÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð¸ Ð½Ð° Ð½Ð°ÑÑÑÐ¾Ð¹ÐºÑ Ð¿Ð¾ÑÐ»Ðµ Ð¼Ð¾Ð½ÑÐ°Ð¶Ð°, ÑÑÐ¾ Ð´ÐµÐ»Ð°ÐµÑ ÐµÐ³Ð¾ Ð¿ÑÐ°ÐºÑÐ¸ÑÐ½Ð¾Ð¹ Ð°Ð»ÑÑÐµÑÐ½Ð°ÑÐ¸Ð²Ð¾Ð¹ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ð¼ Ð°ÐºÑÐ¸Ð²Ð½ÑÐ¼ Ð¼ÐµÑÐ¾Ð´Ð°Ð¼.
description: Flow Accelerated Corrosion (FAC) is a serious problem in nuclear power plants, leading to accidents, fatalities, and outages. However, current FAC identification techniques can be expensive and require a time-consuming setup. In this research, we aimed to propose an economical and simple approach for detecting FAC-induced pipe wall thinning that involves measuring the pipe surface temperature. We utilized the steady-state temperature change in the pipe wall as an indicator of wear and model this process using ANSYS steady-state thermal, which is then applied to the KBA system under four different conditions. We then trained a Gene Expression Programming (GEP) algorithm with the KBA system data to estimate wall thinning and determine the precision of the prediction by generating separate test data. We found that the wall thickness estimation error was around 2% for three of the four cases and 7% for the last case. As the error rates for all cases were below 10%, we propose that this approach might be used as an early detection tool for FAC-induced pipe wall thinning. Additionally, this approach is efficient, not requiring costly equipment or post-installation setup time, making it a practical alternative to existing active methods.