[HTML][HTML] Formwork pressure prediction in cast-in-place self-compacting concrete using deep learning
The prediction of formwork pressure exerted by self-compacting concrete (SCC) remains a
challenge not only to researchers but also to engineers and contractors on the construction …
challenge not only to researchers but also to engineers and contractors on the construction …
A novel performance-based method to design asphalt mixtures
L Wan, A Garcia-Hernández, G Cui, P Liu - Construction and Building …, 2023 - Elsevier
Conventional asphalt mix design methods require numerous experiments to verify the
efficacy of various recipes, resulting in significant time and labour costs. Therefore, there is a …
efficacy of various recipes, resulting in significant time and labour costs. Therefore, there is a …
[HTML][HTML] Stiffness data of high-modulus asphalt concretes for road pavements: predictive modeling by machine-learning
N Baldo, M Miani, F Rondinella, J Valentin, P Vackcová… - Coatings, 2022 - mdpi.com
This paper presents a study about a Machine Learning approach for modeling the stiffness
of different high-modulus asphalt concretes (HMAC) prepared in the laboratory with harder …
of different high-modulus asphalt concretes (HMAC) prepared in the laboratory with harder …
Artificial neural network prediction of airport pavement moduli using interpolated surface deflection data
N Baldo, M Miani, F Rondinella… - IOP Conference Series …, 2021 - iopscience.iop.org
Establishing the structural integrity of an airport pavement is crucial to assess its remaining
life and implement strategies or priorities for action. In this context, the elastic modulus …
life and implement strategies or priorities for action. In this context, the elastic modulus …