Gyalwang Dhundup, Jianing Zhou, Michael Bekoe, Lijun Sun, Sheng Mao, Yu Yan
{"title":"Integrating a mortar model into discrete element simulation for enhanced understanding of asphalt mixture cracking","authors":"Gyalwang Dhundup, Jianing Zhou, Michael Bekoe, Lijun Sun, Sheng Mao, Yu Yan","doi":"10.1111/mice.13425","DOIUrl":null,"url":null,"abstract":"Cracks impact the performance and durability of asphalt pavements, necessitating a comprehensive understanding of the mixture cracking behavior. While discrete element modeling has been implemented, many studies oversimplify the simulation of asphalt mortar, a critical component affecting mixture cracking resistance. This study proposes a mortar model that is applicable to both two‐dimensional (2D) and, to a preliminary extent, three‐dimensional (3D) simulations. The model incorporates a geometric representation of mortar distribution and a mechanical softening model to simulate damage accumulation and fracture. Laboratory and virtual Superpave indirect tensile tests were performed on asphalt mixtures with varying gradations at different aging levels. The virtual simulations successfully mirrored indoor test results in volumetric parameters, load–displacement behavior, and stress distribution. Minor differences in strength, strain, and fracture energy between virtual and indoor tests confirmed the accuracy of the mortar model. Notably, the 3D simulations provided a more accurate reconstruction of the cracking process, showing smaller discrepancies between virtual and indoor results, compared to the 2D simulations, with errors in stress, strain, and fracture energy of 5.6%, 5.7%, and 4.7%, respectively. Employing the mortar model in discrete element simulation revealed insights into fracture angle distribution and tendencies, enabling meticulous analysis of mixture damage characteristics and cracking behavior. This allows for the improved design of mixtures with excellent cracking performance and contributes to advancing computational methods that could complement laboratory testing.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"9 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer-Aided Civil and Infrastructure Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1111/mice.13425","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Cracks impact the performance and durability of asphalt pavements, necessitating a comprehensive understanding of the mixture cracking behavior. While discrete element modeling has been implemented, many studies oversimplify the simulation of asphalt mortar, a critical component affecting mixture cracking resistance. This study proposes a mortar model that is applicable to both two‐dimensional (2D) and, to a preliminary extent, three‐dimensional (3D) simulations. The model incorporates a geometric representation of mortar distribution and a mechanical softening model to simulate damage accumulation and fracture. Laboratory and virtual Superpave indirect tensile tests were performed on asphalt mixtures with varying gradations at different aging levels. The virtual simulations successfully mirrored indoor test results in volumetric parameters, load–displacement behavior, and stress distribution. Minor differences in strength, strain, and fracture energy between virtual and indoor tests confirmed the accuracy of the mortar model. Notably, the 3D simulations provided a more accurate reconstruction of the cracking process, showing smaller discrepancies between virtual and indoor results, compared to the 2D simulations, with errors in stress, strain, and fracture energy of 5.6%, 5.7%, and 4.7%, respectively. Employing the mortar model in discrete element simulation revealed insights into fracture angle distribution and tendencies, enabling meticulous analysis of mixture damage characteristics and cracking behavior. This allows for the improved design of mixtures with excellent cracking performance and contributes to advancing computational methods that could complement laboratory testing.
期刊介绍:
Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms.
Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.