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                      Research on quantitative detection method of internal cracks in concrete based on
                                              ultrasonic plane wave imaging

                               1             1,2        1         1,2              1,2            1,2,3



                    SUN Linyuan ,HUANG Hao ,LIU Yang ,ZHEN Li ,ZHANG Xinmiao ,CHEN Gaixin




                               (1. China Institute of Water Resources and Hydropower Research,Beijing  100038,China;


                                 2. State Key Laboratory of Water Cycle and Water Security,Beijing  100038,China;


                             3. Key Laboratory of Engineering Materials of Ministry of Water Resources,Beijing  100038,China)

                Abstract:This  paper  proposes  an  angle-corrected  compound  plane  wave  imaging  method  to  address  the  issues  of
                strong artifacts and poor accuracy in crack angle detection associated with traditional compound plane wave imaging
                methods when detecting internal cracks in concrete. First,finite element simulations of ultrasonic detection of inter⁃


                nal cracks in concrete microstructure models were conducted. Subsequently,the detection mechanisms and identifica⁃
                tion effects of the traditional compound plane wave imaging method and the proposed angle-corrected method were
                compared and analyzed. Quantitative identification criteria for internal crack angles and lengths were provided,and

                the validity of the proposed method was demonstrated. Finally,the effects of aggregate size,concrete wave velocity,


                and  crack  depth  on  the  angle-corrected  compound  plane  wave  imaging  method  were  analyzed.  The  results  indicate
                that the proposed method offers better detection performance. Although an increase in aggregate size can affect the
                identification accuracy of the method,the impact is minimal. The method maintains good identification performance

                even  when  the  crack  depth  exceeds  10  cm.  This  study  provides  a  theoretical  basis  for  the  quantitative  detection  of
                internal cracks in concrete in practical engineering applications.


                Keywords:internal cracks in concrete;meso-structure;angle correction;plane wave imaging;image recognition



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