Yaxin Tao
Papers
2
Total Citations
7
H-Index
2
About
Yaxin Tao is a rising researcher at the forefront of digital construction and sustainable materials, specializing in 3D concrete printing (3DCP) and alkali-activated materials. Their work bridges the gap between computational modeling and robotic fabrication, advancing the practical deployment of additive manufacturing in infrastructure. Tao’s most-cited paper introduces a neural network-based model that predicts the printability and mechanical performance of 3D-printed concrete components, using key parameters like flowability and strength to optimize robotic fabrication outcomes—a contribution that has garnered 5 citations since 2025. In a second notable study, Tao investigated the adhesion performance of alkali-activated materials for 3D-printed tunnel linings across varying temperatures, addressing a critical challenge for underground construction. This work, with 2 citations, demonstrates their focus on real-world applications, such as enhancing bond strength in extreme environments. By integrating machine learning with material science, Tao is shaping the future of automated construction, offering scalable solutions for resilient, low-carbon infrastructure. Their research is particularly impactful for students and engineers exploring smart manufacturing and sustainable building technologies.
Research Focus
Key Achievements
Top Papers
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- 2