Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

In this study, the employment of the gene expression programming (GEP) technique in
forecasting models on sustainable construction materials including mineral admixtures and …

Abstract International Roughness Index (IRI) is a pavement performance indicator which
reflects not only the pavement condition but also the ride quality and comfort level of road …

This study hybridized the ensemble and weight optimization approaches with an artificial
neural network (ANN) algorithm to forecast the dynamic modulus (E*) of asphalt concrete …

Generally, when asphalt concrete (AC) is in the design phase, the rutting development of the
actual pavement is always not considered. Traditional simulative wheel-tracking tests, which …

Rutting has been considered the most serious distress in flexible pavements for many years.
Flow number is an explanatory index for the evaluation of the rutting potential of asphalt …

Asphalt rubber (AR) is a sustainable paving material composed of bitumen and crumb
rubber modifier (CRM) recycled from waste tires. The interaction between bitumen and CRM …

This comprehensive textbook covers all aspects of pavement engineering. The content takes
into account new developments and includes both the recently completed European norms …

Dynamic modulus of asphalt concrete, which is a key parameter characterizing its
performance, can be either measured in the laboratory through time-taking and expensive …

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 …