Manuscript Topics

Many pavement diseases, such as cracks, potholes, rut, etc, have been produced under the simultaneous coupling of load and environment, which have a serious impact on road strength and driving safety. In order to timely and efficiently detect and repair pavement diseases, some novel computer analysis techniques, advanced repairing materials, numerical analysis methods, and disease prediction mathematical models, have been studied and applied in the field of pavement engineering. These technologies and methods can not only most effectively identify pavement diseases and timely select the suitable repairing materials, but also predict the development law of pavement diseases, providing reference for road engineers to detect and repair pavement diseases. The aim of this special issue is to collect recent developments in automatic detection and repairing materials for pavement engineering and provide a platform and chance for researchers to communicate and discuss with each other.

We invite authors to submit original research articles and notes, as well as review articles, which will contribute to the areas of pavement disease detection and repair. Potential topics include, but are not limited to the following:
• Establishment and optimization of deep learning models for disease identification in pavement engineering
• Low-carbon, green, high-strength, high viscosity, and weather-resistant pavement diseases repairing materials
• Damage mechanics and constitutive models that the relationship between stress and strain in pavement engineering materials under multiple coupling factors.
• Molecular dynamics modeling techniques to reveal interactions between molecules and pavement-repairing materials
• Disease prediction models that dynamic mechanical response based on discrete element and finite element modelings
• Other related topics

KeywordsPavement Engineering; Deep Learning; Pavement Repairing Materials; Damage Mechanics; Constitutive Model; Molecular Dynamics Modeling; Discrete Element Modeling; Finite Element Modeling

Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/