| Author Name | Affiliation | | WANG Hao | College of Civil Engineering,Southeast University,Nanjing 210096,China | | ZONG Zhou-hong | College of Civil Engineering,Southeast University,Nanjing 210096,China | | HU Ruo-mei | College of Civil Engineering,Southeast University,Nanjing 210096,China | | ZHANG Jing-nan | Nanjing Chixia Development Company,Ltd.,Nanjing 210037,China |
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| Abstract: |
| The Sonreb and Core (SRC) combined method is proposed to assess the concrete compression strength of mass concrete structures.Artificial neural network is employed together with the SRC combined method to obtain the optimal core number.The artificial neural network is trained based on data from different testing methods.The procedure of using artificial neural network to assess the concrete strength is described.It proves that the SRC combined method is superior in many aspects and artificial the presented neural network has a high efficiency and reliability.The combined method using artificial intelligence is promising in the strength assessment of mass concrete structures such as the dam,the anchor of the suspension bridge,etc. |
| Key words: rebound ultrasonic core strength assessment BP neural network |
| DOI：10.11916/j.issn.1005-9113.2011.03.022 |
| Clc Number:U444 |
| Fund: |
