Using machine learning techniques for predicting autogenous shrinkage of concrete incorporating superabsorbent polymers and supplementary cementitious materials

Airport terminal passenger forecast under the impact of COVID-19 outbreaks: A case study from China

“…To address this problem, scientific interest in the field of explainable artificial intelligence (XAI) has grown rapidly, and many approaches have been proposed to help interpret complex ML models [ 46 , 47 ]. An important implication is to understand the effect of the input variables on model prediction in terms of its magnitude and direction [ 48 , 49 ].…”

Open‐source deep learning‐based air‐void detection algorithm for concrete microscopic images

“…Due to the complex heterogeneous nature of concrete, phase separation remains a challenging task. The last advances in machine learning led to a better understanding of concrete properties, from strength 8 to shrinkage 9 or micromechanical properties, 10 and, more specifically, deep learning segmentation techniques have been fruitful in different fields 11 . For visual imagery, a convolutional neural network (CNN) might be used, combined with other techniques, to increase observation precision classifying or detecting objects of low contrast with a completely automated procedure.…”

ε–greedy automated indentation of cementitious materials for phase mechanical properties determination

“…For example, in cementitious materials such as concrete, the major phases at a plurimicrometric scale are aggregate, sand and cement paste. Cement paste evolution attracts most of the researchers' attention as it might develop more of less stiffness and strength during hydration, depending on the initial mix or because of the various degradations it might face due to adverse environmental conditions such as leaching [18,23], shrinkage [24], sulfate attack [25,26], chloride ingress [27] or irradiations [28]. At the nanoscale, cement paste comprises several hydrated phases, the major ones being calcium silicate hydrates (C-S-H) gel and portlandite crystals.…”