-
document
-
Liang, M. (author), He, S. (author), Gan, Yidong (author), Zhang, Hongzhi (author), Chang, Z. (author), Schlangen, E. (author), Ĺ avija, B. (author)
This paper employs computer vision techniques to predict the micromechanical properties (i.e., elastic modulus and hardness) of cement paste based on an input of Backscattered Electron (BSE) images. A dataset comprising 40,000 nanoindentation tests and 40,000 BSE micrographs was built by express nanoindentation test and Scanning Electron...
journal article 2023
Source URL (retrieved on 2024-06-01 15:21): https://repository.tudelft.nl/islandora/search/%20?amp%3Bamp%3Bf%5B0%5D=mods_name_personal_author_namePart_family_ss%3A%22De%5C%20Rijke%22&%3Bamp%3Bf%5B1%5D=RELS_EXT_isMemberOfCollection_uri_s%3A%22info%5C%3Afedora%5C/collection%5C%3Air%22&%3Bf%5B0%5D=mods_name_personal_author_namePart_family_ss%3A%22Schoonman%22&f%5B0%5D=mods_name_personal_author_namePart_family_ss%3A%22Zhang%22&f%5B1%5D=mods_name_personal_author_namePart_family_ss%3A%22Chang%22&f%5B2%5D=mods_subject_topic_ss%3A%22Cement%5C%20paste%22