Improved fracture toughness evaluation for fiber-reinforced asphalt concrete through double-parameter theory DOI
Peng Cao,

Jialiang Nie,

Guoqing Chen

и другие.

Engineering Fracture Mechanics, Год журнала: 2024, Номер 312, С. 110638 - 110638

Опубликована: Ноя. 10, 2024

Язык: Английский

A novel strategy for generating mesoscale asphalt concrete model with controllable aggregate morphology and packing structure DOI
Zhifei Tan,

Fu-qiang Guo,

Zhen Leng

и другие.

Computers & Structures, Год журнала: 2024, Номер 296, С. 107315 - 107315

Опубликована: Фев. 22, 2024

Язык: Английский

Процитировано

11

Key parameters and effects in image processing and aggregate–aggregate contact calculation of asphalt mixtures DOI
Liwan Shi,

Hongjie Guo,

Guodong Zeng

и другие.

Measurement, Год журнала: 2024, Номер 239, С. 115439 - 115439

Опубликована: Авг. 3, 2024

Язык: Английский

Процитировано

10

Compaction and shear characteristics of recycled construction & demolition aggregates in subgrade: Exploring particle breakage and shape effects DOI
Jue Li,

Yurong Qin,

Junhui Zhang

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 465, С. 142776 - 142776

Опубликована: Июнь 5, 2024

Язык: Английский

Процитировано

7

Quantitative analysis of asphalt concrete’s tension-compression asymmetry effects on pavement response through 3D numerical modeling with dual viscoelastic model DOI
Zhifei Tan, Zhen Leng, Hui Li

и другие.

Construction and Building Materials, Год журнала: 2024, Номер 430, С. 136427 - 136427

Опубликована: Май 9, 2024

Язык: Английский

Процитировано

6

Numerical modeling of the mechanical response of asphalt concrete in tension and compression DOI
Zhifei Tan, Zhen Leng, Denis Jelagin

и другие.

Mechanics of Materials, Год журнала: 2023, Номер 187, С. 104823 - 104823

Опубликована: Окт. 14, 2023

Язык: Английский

Процитировано

9

Predicting the mechanical properties of asphalt mixtures from meso-structural features using back propagation neural networks DOI
Yanhui Niu, Xu Zhao, Dongyu Niu

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 471, С. 140733 - 140733

Опубликована: Март 11, 2025

Язык: Английский

Процитировано

0

Constitutive modelling and systematic evaluation of asphalt concrete’s viscoelastic tension-compression asymmetry effect on pavement performance DOI
Zhifei Tan, Hui Li, Zhen Leng

и другие.

International Journal of Pavement Engineering, Год журнала: 2024, Номер 25(1)

Опубликована: Май 9, 2024

Asphalt concrete (AC) exhibits significant tension-compression (TC) asymmetry, which is currently not considered in pavement design. This study develops a novel temperature-dependent dual viscoelastic model to quantitatively capture the behaviour of AC. Unlike conventional constitutive model, proposed decomposes strain into tensile and compressive components characterise AC's TC asymmetry. Additionally, systematic modelling framework with intrinsic asymmetry developed for first time predict response under moving tire load. The results illustrate that implementing enlarges both vertical deformation pavements shear strains AC layers, bringing it closer realistic scenario compared only considers compression properties. Furthermore, high temperatures low vehicular speeds exacerbate substantial effects on asphalt pavement. provides valuable method more accurately, giving better insight enhancing design maintenance.

Язык: Английский

Процитировано

3

Analytical Modeling of Tensile and Flexural Performance of Concrete Reinforced with Recycled FRP-Fiber from Wind Turbine Blades DOI
Kangle Mao, Q.Y. Liu,

Teng Yu

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер unknown, С. 111651 - 111651

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

Determining appropriate level of detail of 3D aggregate model for accurate and efficient mesoscopic simulation of asphalt concrete DOI
Xin Wei, Yiren Sun, Hongren Gong

и другие.

Road Materials and Pavement Design, Год журнала: 2024, Номер 25(12), С. 2729 - 2746

Опубликована: Март 16, 2024

The levels of detail (LODs) aggregate models significantly impact both the accuracy and efficiency mesoscale numerical simulation asphalt concrete. This study proposed a quantitative evaluation framework to find an appropriate LOD that allows accurate concrete with relatively low model complexity. First, coarse aggregates in were reconstructed from computed tomography (CT) images, their was defined as level-0. Each then simplified using surface simplification method obtains four descending LODs (levels-1, 2, 3 4), consisting 200, 100, 50 20 triangular facets respectively. evaluated according several geometric indexes mesoscopic finite element (FE) compressive results indicate compared level-1 model, level-2 can achieve similar 50% reduction time.

Язык: Английский

Процитировано

1

Fatigue performance analysis of fine aggregate matrix using a newly designed experimental strategy and viscoelastic continuum damage theory DOI Creative Commons
Zhifei Tan, Hui Li, Zhen Leng

и другие.

Materials and Structures, Год журнала: 2024, Номер 57(6)

Опубликована: Июнь 20, 2024

Abstract Fine aggregate matrix (FAM), as the phase in asphalt concrete (AC), significantly affects fatigue behavior of AC. To accurately assess mechanical properties FAM, a newly designed experimental strategy for FAM testing was developed, and viscoelastic continuum damage theory (VECD) applied to analyze FAM’s cracking characteristics. In this study, dumbbell-shaped geometry dynamic shear rheometer verified through FE-aided method. Subsequently, three AC mixtures’ specimens with special were fabricated frequency sweep linear amplitude tests. Results showed that specially effectively capture high replicability. Analyses based on VECD indicated porous (FAM(PA13)), featuring higher content, exhibits significant reduction pseudo stiffness increasing at initial stage, but rate diminishes progresses when compared other two FAMs. It speculated content dense-graded mixture (FAM(AC20) induces stress concentrations mastic near protrusion areas aggregates, thereby rendering sample more susceptible damage. The proposed methods will be readily extended characterize FAM.

Язык: Английский

Процитировано

1