Machine learning in polymer additive manufacturing: A review
Additive manufacturing (AM) has emerged as a commonly utilized technique in the
manufacturing process of a wide range of materials. Recent advances in AM technology …
manufacturing process of a wide range of materials. Recent advances in AM technology …
Trustworthy machine learning-enhanced 3D concrete printing: Predicting bond strength and designing reinforcement embedment length
Three-dimensional concrete printing (3DCP) faces challenges in determining and ensuring
adequate bond strength between reinforcement and printed concrete. Traditional methods …
adequate bond strength between reinforcement and printed concrete. Traditional methods …
Comprehensive review of 3D printed concrete, life cycle assessment, AI and ML models: Materials, engineered properties and techniques for additive manufacturing
This paper offers an extensive assessment of 3D concrete printing (3DCP), an innovative
form of construction that can revolutionize the construction industry. Its objectives include …
form of construction that can revolutionize the construction industry. Its objectives include …
[HTML][HTML] 3D-printed functionally graded concrete plates: Concept and bending behavior
Three-dimensional concrete printing (3DCP), as an innovative technology, has become
increasingly popular owing to advantages such as cost-effectiveness, labor-saving, free of …
increasingly popular owing to advantages such as cost-effectiveness, labor-saving, free of …
[HTML][HTML] Augmented data-driven approach towards 3D printed concrete mix prediction
Formulating a mix design for 3D concrete printing (3DCP) is challenging, as it involves an
iterative approach, wasting a lot of resources, time, and effort to optimize the mix for strength …
iterative approach, wasting a lot of resources, time, and effort to optimize the mix for strength …
Characterizing and modelling the bond-slip behaviour of steel bars in 3D printed engineered cementitious composites
M Chen, K Yu, T Zhang, Y Wang - Cement and Concrete Composites, 2025 - Elsevier
Embedding rebars in 3D printed engineered cementitious composites (3DP-ECC) promises
to improve the structural toughness and loading capacity, while a robust bond between them …
to improve the structural toughness and loading capacity, while a robust bond between them …
Data-driven reliability-oriented buildability analysis of 3D concrete printed curved wall
The inherent uncertainties, particularly material uncertainties, significantly impact the
buildability of 3D concrete-printed curved walls, leading to substantial variations that …
buildability of 3D concrete-printed curved walls, leading to substantial variations that …
[HTML][HTML] Predicting penetration depth in ultra-high-performance concrete targets under ballistic impact: An interpretable machine learning approach augmented by …
In recent decades, numerous explosions and ballistic attacks have caused significant global
loss of life and property. Ultra-high-performance concrete (UHPC) minimizes blast and …
loss of life and property. Ultra-high-performance concrete (UHPC) minimizes blast and …
From robust deep-learning regression to refined design formulas for punching shear strength of internal GFRP-reinforced flat slab-column connections
Accurately modeling the punching shear strength (PSS) of glass fiber-reinforced polymer
(GFRP) flat slab-column connections is critical for ensuring structural safety and integrity …
(GFRP) flat slab-column connections is critical for ensuring structural safety and integrity …
Machine learning for design, optimization and assessment of steel-concrete composite structures: A review
Steel-concrete composite structures (SCCSs) are widely used in structural engineering by
combining the high compressive strength of concrete and tensile strength of steel to achieve …
combining the high compressive strength of concrete and tensile strength of steel to achieve …