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Experimental Testing and Constitutive Modelling of Pavement Materials—2nd Volume

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Construction and Building Materials".

Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 1085

Special Issue Editors

Section of Pavement Engineering, Department of Engineering Structures, Delft University of Technology, Delft, The Netherlands
Interests: mechanics of multiphase media; experimental testing and constitutive modelling of pavement materials; pavement analysis & design; multi-physics flow and damage phenomena in asphalt mixtures; non-linear finite element analysis techniques; experimental testing and constitutive modelling of structural interlayer systems; experimental testing and computational characterization of multilayer asphalt surfacing systems on orthotropic steel deck bridges; multi-scale constitutive modelling of asphalt concrete; Induction healing technology for asphalt concrete; warm rubberized asphalt concrete technology; waterproofing membrane material development and testing method; epoxy modified bitumen technology for durable and sustainable pavement; cold in place asphalt concrete recycling; high quality recycling of polymer modified asphalt; warm/cold rubberized asphalt concrete technology
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Guest Editor
School of Transportation, Southeast University, Nanjing 211189, China
Interests: renewable construction materials; multiphysics and multiscale modeling; performance predictions of road infrastructures; intelligent and nondestructive road technologies
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Guest Editor
School of Architecture and Transportation Engineering, Guilin University of Electronic Technology, Guilin 541004, China
Interests: microstructure and performance of pavement materials; GPU-based parallel computing of granular materials; polymer-modified asphalt binder; climate and disaster risk assessment of road facilities; testing instrument and software development
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Guest Editor
School of Environmental, Civil, Agricultural and Mechanical Engineering, 1254 STEM Research Building II, University of Georgia, Athens, GA 30602, USA
Interests: smart, sustainable, and resilient infrastructures; material genomes for multifunctional materials; sensing and perception for safety and security; digital twins and mixed reality; pavement testing and design; data analytics and asset management
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Special Issue Information

Dear Colleagues,

Pavement materials such as asphalt mixtures, granular aggregates, and soils exhibit complex material properties and engineering performance under external loading and environmental conditions. For instance, the asphalt mixture shows highly nonlinear viscoelastic and viscoplastic properties at high temperatures, and it presents fatigue cracking damage and fracture properties at intermediate or low temperatures. Constitutive models based on mechanics theories have been the kernel of performance prediction of pavement infrastructures and materials. They lay down a solid foundation for material selection, design and pavement structural evaluation, and maintenance decisions. Advances in mechanics modeling and the associated experimental testing for pavement infrastructures and construction materials are emerging constantly, such as nonlinear viscoelasticity, viscoplasticity, fracture, and damage mechanics models. Meanwhile, various numerical modeling technologies are being developed and implemented to solve the multiscale and multiphysical equations and models for pavement structures and materials. Examples include finite element, discrete element, and micromechanics or molecular dynamics simulations at different dimensions and scales. These are being applied to both existing traditional pavement materials and novel and emerging materials such as recycled, modified or alternative materials. All the aforementioned advances have been leading to a large number of new studies and discoveries in the relevant areas. This Special Issue provides a unique platform to collect and present these novel studies and new discoveries in the areas of mechanics, numerical modeling and experimental testing of pavement infrastructures and materials.

Some suggested topics related to this Special Issue include:

  • Advanced constitutive modeling and experimental testing of pavement materials;
  • Viscoelastic, viscoplastic, fracture, and damage mechanics analysis;
  • Finite/boundary/discrete element modeling of pavements and materials;
  • Molecular dynamics modeling and micromechanics modeling;
  • Performance predictions of pavement structures and materials;
  • Multiscale and multiphysics modeling and evaluations;
  • Modified, renewable, recyclable or alternative pavement materials;
  • Artificial-intelligence-based constitutive behavior of asphalt mixtures;
  • Microscopic test method and instrument development of pavement materials;
  • Rapid repair materials for pavement structures: development or application.

Dr. Xueyan Liu
Prof. Dr. Zhanping You
Dr. Yuqing Zhang
Dr. Changhong Zhou
Prof. Dr. Linbing Wang
Guest Editors

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Keywords

  • pavement materials advanced mechanics
  • modeling experimental testing
  • characterization multiscale
  • multiphysics simulations artificial intelligence

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Published Papers (1 paper)

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Research

17 pages, 18118 KiB  
Article
Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates
by Pan Liu, Wenju Liu and Peiyi Bai
Materials 2024, 17(10), 2271; https://doi.org/10.3390/ma17102271 - 11 May 2024
Viewed by 577
Abstract
This study employs the discrete element method to investigate the influence of particle size on the load-bearing characteristics of aggregates, with a specific emphasis on the aggregates used in escape ramp arrester beds. This study utilises the log edge detection algorithm to introduce [...] Read more.
This study employs the discrete element method to investigate the influence of particle size on the load-bearing characteristics of aggregates, with a specific emphasis on the aggregates used in escape ramp arrester beds. This study utilises the log edge detection algorithm to introduce an innovative approach for modelling irregularly shaped pebbles, integrating their physical properties into a comprehensive discrete element model to enhance the accuracy and applicability of simulations involving such pebbles. Meticulous validation and parameter calibration (friction coefficient: 0.37, maximum RMSE: 3.43) confirm the accuracy of the simulations and facilitate an in-depth examination of the mechanical interactions between aggregate particles at macroscopic and microscopic scales. The findings reveal a significant relationship between the particle size and load-bearing capacity of aggregates. Smaller pebbles, which are more flexible under pressure, can be packed more densely, thereby improving the distribution of vertical forces and increasing the concentration of local stress. This enhancement substantially increases the overall load-bearing capacity of aggregates. These discoveries hold significant implications for engineering practices, particularly in the optimisation of safety for truck escape ramps and in identifying the ideal sizes of pebbles with irregular shapes. Full article
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