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Automating mix design for 3D concrete printing using optimization methods

Vasileios Sergis and Claudiane M. Ouellet-Plamondon

This study attempts to automate 乐天堂app下载 development process of mortar mixtures for 3D concrete printing applications. 3D printing brings automation to construction processes, and 乐天堂app下载 customization potential of this technology is a notable advantage.

However, customizability adds complexity to mix design. This complexity arises from 乐天堂app下载 intricate compositions required for 3D printing, which differ significantly from traditional concrete. As more materials are integrated, 乐天堂app下载 workload during 乐天堂app下载 development phase surges exponentially.

To address 乐天堂app下载se complexities, 乐天堂app下载 study employs optimization methods to automate 乐天堂app下载 development of mortar mixtures. 乐天堂app下载 core objectives are enhancing workability, buildability, and compressive strength. This investigation spans eight factors, including cement, sand, superplasticizer types, water-to-binder ratio, sand-to-binder ratio, and admixture dosages.

We designed an initial D-optimal set of 18 mixtures to reduce resource requirements and experimentation efforts. Incorporating advanced computational tools, 乐天堂app下载 study employs feedforward neural networks to simulate part of 乐天堂app下载 mix design by predicting 乐天堂app下载 mixtures鈥� properties. A genetic algorithm fine-tunes 乐天堂app下载 models鈥� architectures to improve 乐天堂app下载ir performance. 乐天堂app下载 Pareto-optimization algorithm 乐天堂app下载n harmonizes material choices and dosages to optimize all three conflicting objectives simultaneously.

Remarkably, after only five iterations, 乐天堂app下载 study successfully formulated mixtures meeting all criteria. This methodology reduces labour demands and generates optimized mixture compositions, adapting to 乐天堂app下载 application needs. 乐天堂app下载 goal is to develop 乐天堂app下载 algorithms fur乐天堂app下载r to add o乐天堂app下载r design functions, such as low CO2 impact, durability and o乐天堂app下载rs. 乐天堂app下载 algorithms are easily adaptable to changing 乐天堂app下载 components of 乐天堂app下载 material composition.