Estimation of rubberized concrete frost resistance using machine learning techniques
Utilizing waste rubber in concrete has effectively reduced global environmental pollution
and carbon emission. It is essential to accurately evaluate and predict the evolution of its …
and carbon emission. It is essential to accurately evaluate and predict the evolution of its …
Involving prediction of dynamic modulus in asphalt mix design with machine learning and mechanical-empirical analysis
Dynamic modulus (E∗) plays a dominant role in comprehensively capturing the mechanical
behavior of asphalt mixture. Many researchers tried to consider E∗ as a performance …
behavior of asphalt mixture. Many researchers tried to consider E∗ as a performance …
Improving asphalt mix design considering international roughness index of asphalt pavement predicted using autoencoders and machine learning
Scientific asphalt mix design can improve the engineering properties of asphalt mixture, thus
further slowing the growth of international roughness index (IRI). To avoid the occurrence of …
further slowing the growth of international roughness index (IRI). To avoid the occurrence of …
[HTML][HTML] Prediction of rheological properties and ageing performance of recycled plastic modified bitumen using Machine learning models
Recycled plastics can be used to improve the rheological properties of neat bitumen. The
rheological properties of recycled plastic modified bitumen (RPMB) depend on multiple …
rheological properties of recycled plastic modified bitumen (RPMB) depend on multiple …
Improving asphalt mix design by predicting alligator cracking and longitudinal cracking based on machine learning and dimensionality reduction techniques
The asphalt mix design based on traditional laboratory fatigue cracking tests of asphalt
mixture is not reasonable due to the difficulty of simulating the circumstance where asphalt …
mixture is not reasonable due to the difficulty of simulating the circumstance where asphalt …
An ensemble tree-based prediction of Marshall mix design parameters and resilient modulus in stabilized base materials
A flexible pavement with an adequate Marshall mix design for the asphalt mixture surface
layer (s) and appropriate subbase/base design offers a proper pavement structure for driving …
layer (s) and appropriate subbase/base design offers a proper pavement structure for driving …
[HTML][HTML] Utilization of response surface methodology and machine learning for predicting and optimizing mixing and compaction temperatures of bio-modified asphalt
The optimization of energy consumption during asphalt mixture production and compaction
is a challenge in producing durable, sustainable, and environmentally friendly asphalt …
is a challenge in producing durable, sustainable, and environmentally friendly asphalt …
A hybrid approach to predict vertical temperature gradient of ballastless track caused by solar radiation
T Shi, P Lou, W Zheng, X Sheng - Construction and Building Materials, 2022 - Elsevier
The spatial and temporal temperature evolution of ballastless track is difficult to be
determined, due to its complex thermal conditions. Accurate acquisition of vertical …
determined, due to its complex thermal conditions. Accurate acquisition of vertical …
Reversed bond-slip model of deformed bar embedded in concrete based on ensemble learning algorithm
X Li, Z Qin, D Zheng, X Zhang, H Li - Journal of Building Engineering, 2023 - Elsevier
A reversed bond-slip relationship that simultaneously considers key factors, such as the
concrete cover, stirrups, fiber content, and lateral pressure is required to simulate the …
concrete cover, stirrups, fiber content, and lateral pressure is required to simulate the …
Improved predictions of asphalt concretes' dynamic modulus and phase angle using decision-tree based categorical boosting model
The most suitable parameter to summarize the viscoelastic response of asphalt concrete
(AC) mixtures is the complex modulus, defined by means of its two main components: the …
(AC) mixtures is the complex modulus, defined by means of its two main components: the …