An eXtreme Gradient Boosting model for predicting dynamic modulus of asphalt concrete mixtures

Y Ali, F Hussain, M Irfan, AS Buller - Construction and Building Materials, 2021 - Elsevier
Dynamic modulus (DM)—an important stiffness property and a basic input parameter in the
design of flexible pavements—is often obtained through expensive, laborious, and time …

The influence of SBS modification on the rheological property of asphalt before and after regeneration

N Zhang, G Fan, S Lv, F He, X Fan, X Peng… - … and Building Materials, 2021 - Elsevier
In this article, the author intends to explore the different aging process of SBS modified
asphalt, and the influence of chemical components on the rheological property by adding …

Optimizing asphalt mix design through predicting volumetric properties using interpretable machine learning

M Dai, F Zhang, S Dai, C Xing, S Xiao, H Lv, Y Tan - Powder Technology, 2024 - Elsevier
Traditional asphalt mix design methods primarily rely on experience, consuming immense
time and resources. Currently, advanced machine learning (ML) method can accelerate the …

[PDF][PDF] Detecting the Variations in the Phase Angle through the Fatigue Life of Asphalt Concrete under Environmental Influence

SI Sarsam - 2024 - ijdieret.in
The Asphalt concrete mixtures may exhibit changes in their mechanical behavior through
the variation in environmental conditions and sustained loading time which enhances their …

[PDF][PDF] Predictive Model for the Seismic Capacity of High-Rise Building using Deep Learning Algorithm

RPA Cabauatan, JETD Peña, KPD Doloroso, EES Cruz… - researchgate.net
Seismic capacity demands continuous detailing in response to its focal function in structural
health monitoring. While modern methods in engineering technology and artificial …