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                     3     Experiment and Results


                     3.1   Experiment Setup

                     In this experiment, a real concrete block with dimensions of 1300 1300 1300 mm is
                     used, consisting  of four  planes labeled  as A,  B,  C, and  D. Each  plane contains  36
                     damage locations that are artificially generated by a pencil-lead breaks [15] and serve
                     as the proposed damage sites, as illustrated in Figure 4. To collect the artificial AE
                     events generated from each crack source, a network of eight acoustic emission sensors
                     labeled  from  S1  to  S8  is  mounted  at  the  surface  of  the  concrete  block.  The
                     experiments are conducted multiple times to ensure a significant dataset is collected
                     for all cases.




































                                        Fig. 4. Experiment setup for 3D crack localization

                     The crack  sources  were  repeated  roughly 20  times  (+/-)  for  each of  the  144  crack
                     sources on the four planes, resulting in approximately 2,898 experiments. A total of
                     23,184  signals  were  obtained  from  the  eight  sensors  utilized  to  detect  the  crack
                     sources. The acquired data was then divided into a training dataset of 80%, consisting
                     of 2,322 experiments, and a testing dataset of 20%, consisting of 576 experiments.
                     The data was collected by Korea Atomic Energy Research Institute (KAERI) in 2022.
                       When a crack occurs, it can be detected using AE sensors. AE sensors can detect
                     the sound waves generated by the crack's propagation. These sensors are placed on
                     the  surface  of  the  concrete  and  can  detect  even  the  smallest  cracks,  making  them
                     particularly  useful for  early detection  and monitoring  of crack  growth.  The signals





                     CITA 2023                                                   ISBN: 978-604-80-8083-9
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