Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Bayesian enhanced graph neural networks: Refining design spaces for hollow concrete components with optimum mechanical performance
Lightweight, non-structural concrete partition walls with customized hollow sections enhance
earthquake resilience, particularly by optimizing horizontal stiffness to resist lateral forces in …
earthquake resilience, particularly by optimizing horizontal stiffness to resist lateral forces in …
[HTML][HTML] Spiral kinematics: A biomimetic approach to enhancing demolding efficiency in 3D-printed polymeric formworks for customized hollow concrete structures
The customization of hollow concrete components has gained significant attention for
enhancing multi-functional performance, including structural efficiency, thermal and acoustic …
enhancing multi-functional performance, including structural efficiency, thermal and acoustic …
[HTML][HTML] Acoustic insulation optimization of walls and panels with functional graded hollow sections using graph transformer evaluator and probability-informed genetic …
Sound pollution from urbanization negatively impacts health and well-being, making
effective acoustic insulation in buildings. Partition walls made with Bidirectional Varied …
effective acoustic insulation in buildings. Partition walls made with Bidirectional Varied …
[HTML][HTML] Integrating graph neural networks with physics-informed loss function for mechanical response prediction of hollow concrete structures with morphed …
In modern construction, hollow concrete structures with customized configurations, such as
morphed honeycombs, offer an impressive high stiffness-to-weight ratio, maintaining …
morphed honeycombs, offer an impressive high stiffness-to-weight ratio, maintaining …