Searched for: subject%3A%22Correlations%22
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Tawfek, Abdullah M. (author), Ge, Zhi (author), Yuan, Huaqiang (author), Zhang, Ning (author), Zhang, Hongzhi (author), Ling, Yifeng (author), Guan, Yanhua (author), Šavija, B. (author)
The mechanical performance of engineered cementitious composite (ECC) depends greatly on fiber orientation and distribution. In this paper, the effect of fiber orientation on ECC's mechanical properties was investigated using two different casting methods: a flow-induced casting was used to enhance the fiber orientation within ECC mixture and...
journal article 2023
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Guan, Zenan (author)
Out-of-Domain (OOD) generalization is a challenging problem in machine learning about learning a model from one or more domains and making the model perform well on an unseen domain. Empirical Risk Minimization (ERM), the standard machine learning method, suffers from learning spurious correlation in the training domain, therefore may perform...
bachelor thesis 2022
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Sun, Renjuan (author), Han, Lebing (author), Zhang, Hongzhi (author), Ge, Zhi (author), Guan, Yanhua (author), Ling, Yifeng (author), Schlangen, E. (author), Šavija, B. (author)
This paper presents a study on cracking characterization of engineered cementitious composites (ECC) under flexural cyclic load using digital image correlation (DIC) technique. Five stress levels, namely 0.65, 0.75, 0.8, 0.85 and 0.9 of the flexural strength, were applied. Strain map at the side surface was obtained by DIC and used to drive...
journal article 2022