Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Infrastructures  /  Vol: 8 Par: 12 (2023)  /  Artículo
ARTÍCULO
TITULO

A Study on the Genetic Algorithm Optimization of an Asphalt Mixture?s Viscoelastic Parameters Based on a Wheel Tracking Test

Jinxi Zhang    
Weiqi Zhou    
Dandan Cao and Jia Zhang    

Resumen

The generalized Maxwell (GM) constitutive model has been widely applied to characterize the viscoelastic properties of asphalt mixtures. The parameters (Prony series) of the GM are usually obtained via interconversion between a dynamic modulus and relaxation modulus, and they are then input to a finite element model (FEM) as viscoelastic parameters. However, the dynamic modulus obtained with the common loading mode only provides the compressive and tensile properties of materials. Whether the compression or tensile modulus can represent the shear properties of materials related to flow rutting is still open to discussion. Therefore, this study introduced a novel method that integrates the Kriging model into the genetic algorithm as a surrogate model to determine the viscoelastic parameters of an asphalt mixture in rutting research. Firstly, a wheel tracking test (WTT) for AC-13 was conducted to clarify the flow rutting development mechanism. Secondly, two sets of the AC-13 viscoelastic parameters obtained through the optimization method and the dynamic modulus were used as inputs into the FEM simulation of the WTT to compare the simulation results. Finally, a sensitivity analysis of viscoelastic parameters was performed to improve the efficiency of parameter optimization. The results indicating the viscoelastic parameters obtained by this method could precisely characterize the development law of flow rutting in asphalt mixtures.

 Artículos similares

       
 
Cynthia Andraos    
The expected change in rainfall patterns and the increase in evapotranspiration due to climate change leads to earlier droughts, which aggravate water shortages. To ensure the sustainable management of water resources in these conditions, it is necessary... ver más
Revista: Hydrology

 
Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando    
MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ... ver más

 
Filippo Giorcelli, Sergej Antonello Sirigu, Giuseppe Giorgi, Nicolás Faedo, Mauro Bonfanti, Jacopo Ramello, Ermanno Giorcelli and Giuliana Mattiazzo    
Among the challenges generated by the global climate crisis, a significant concern is the constant increase in energy demand. This leads to the need to ensure that any novel energy systems are not only renewable but also reliable in their performance. A ... ver más

 
Flavia D. Frederick, Malvin S. Marlim and Doosun Kang    
Chlorine decay over time and distance travelled poses challenges in maintaining consistent chlorine levels from treatment plants to demand nodes in water distribution networks (WDNs). Many studies have focused on optimizing chlorine booster systems and a... ver más
Revista: Water

 
Yongyu Qu, Bo Song, Shubing Cai, Pinzeng Rao and Xichen Lin    
Recently, the Chinese government has implemented stringent water requirements based on the concept of ?Basing four aspects on water resources?. However, existing research has inadequately addressed the constraints of water resources on population, city b... ver más
Revista: Water