|Table of Contents|

Ultrasonic-rebound and Core-drilling Synthetic Method in Strength Testing Based on BP Neural Network(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2009年01期
Page:
68-74
Research Field:
Publishing date:
2009-03-20

Info

Title:
Ultrasonic-rebound and Core-drilling Synthetic Method in Strength Testing Based on BP Neural Network
Author(s):
Ultrasonic-rebound and Core-drilling Synthetic Method in Strength Testing Based on BP Neural Network
1. Nanjing Chixia Development Co., Ltd., Nanjing 210037,Jiangsu, China; 2. China Railway Sixth Group Co., Ltd., Beijing 100036, China; 3. Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, Jiangsu, China
Keywords:
ultrasonic rebound core-drilling large-scale concrete synthetic method in strength testing BP neural network
PACS:
TU528
DOI:
-
Abstract:
Comparison analyses were conducted on the principles, excellences and limitations of ultrasonic-rebound synthetic method and core-drilling technique for strength testing of large-scale concrete structures, and the significance of ultrasonic-rebound and core-drilling synthetic method(URCDSM)on large-scale concrete strength testing was pointed out. The BP neural network technology was then introduced and was used to determine the optimal core-drilling number in the URCDSM. The results from calculation were compared with results from statistic methods. Results show that the proposed URCDSM has low expenses and little damage, and the BP neural network technology can further increase the analysis accuracy, so the method can be popularized in large-scale concrete structures.

References:

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Last Update: 2009-03-20