| contributor author | Kim, Boyoung | |
| contributor author | Hahn, Jinho | |
| contributor author | Abdelgawad, Salma | |
| contributor author | Jeong, Chanseok | |
| date accessioned | 2026-08-20T21:23:02Z | |
| date available | 2026-08-20T21:23:02Z | |
| date copyright | 2026/03/03 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-6273.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314370 | |
| description abstract | AbstractThis study presents a data-informed convolutional neural network (CNN) for identifying
fluid-filled (e.g., water) inclusions in two-dimensional (2D) solids. To generate
training data, we simulate the propagation of elastic waves in structures ... | |
| publisher | American Society of Civil Engineers | |
| title | Identification of Fluid-Filled Inclusions of Arbitrary Quantities and Shapes in Solids from Measured Elastodynamic Responses Using CNN | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6273 | |
| journal fristpage | 04026029-1 | |
| journal lastpage | 04026029-19 | |
| page | 19 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext | |
