已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Two- and three-dimensional micromechanical viscoelastic finite element modeling of stone-based materials with X-ray computed tomography images

材料科学 断层摄影术 粘弹性 离散元法 计算机断层摄影术 代表性基本卷
作者
Qingli Dai
出处
期刊:Construction and Building Materials [Elsevier]
卷期号:25 (2): 1102-1114 被引量:75
标识
DOI:10.1016/j.conbuildmat.2010.06.066
摘要

Abstract This paper presents 2D and 3D micromechanical finite element (FE) models to predict the viscoelastic properties including dynamic modulus and phase angle of stone-based materials (using an example of asphalt mixtures). Heterogeneous asphalt mixtures are consisted of very irregular aggregates, asphalt matrix and a small amount of air voids. The internal microstructure of asphalt mixtures was captured with X-ray computed tomography (CT) imaging techniques. The 2D and 3D digital samples were created with the reconfiguration of the scanned horizontal surface images. The FE mesh of digital samples was generated with the locations of image pixels within each aggregate and asphalt matrix. Along the boundary of these two phases, the aggregate and matrix FEs share the nodes to connect the deformation. The micromechanical FE model was accomplished by incorporating the captured microstructure and ingredient properties (viscoelastic asphalt matrix and elastic aggregates). The generalized Maxwell model was applied for viscoelastic asphalt matrix with calibrated parameters from the nonlinear regression analysis of the lab test data. The displacement-based FE simulations were conducted for the uniaxial compression under sinusoidal cyclic loading. Overall, the predicted dynamic modulus and phase angle from 2D and 3D micromechanical models were compared favorably with lab test data of the asphalt mixture specimens. The 3D simulation with digital samples generated better prediction than the 2D models. These results indicate that the developed micromechanical FE models have the ability to accurately predict the global viscoelastic properties of the stone-based materials.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
田様应助ENYA采纳,获得10
4秒前
5秒前
打打应助眯眯眼的万恶采纳,获得10
5秒前
追寻绮玉发布了新的文献求助10
7秒前
XXJ_JXX发布了新的文献求助10
10秒前
wei发布了新的文献求助10
10秒前
犹豫小蘑菇完成签到 ,获得积分10
12秒前
陈豆豆完成签到,获得积分10
13秒前
14秒前
cn完成签到 ,获得积分10
15秒前
传统的邴发布了新的文献求助10
19秒前
犹豫小蘑菇关注了科研通微信公众号
19秒前
19秒前
20秒前
卡卡西西西完成签到,获得积分10
20秒前
咚咚发布了新的文献求助10
20秒前
和谐悟空发布了新的文献求助10
24秒前
25秒前
疯狂的迪子完成签到 ,获得积分10
25秒前
25秒前
和谐悟空完成签到 ,获得积分10
26秒前
桐桐应助鲤橘采纳,获得10
28秒前
29秒前
小木木发布了新的文献求助10
29秒前
31秒前
星辰大海应助洛森采纳,获得10
32秒前
研友_想想发布了新的文献求助10
34秒前
35秒前
张克刚完成签到,获得积分10
35秒前
tt发布了新的文献求助10
37秒前
曹翔完成签到 ,获得积分10
38秒前
38秒前
XXJ_JXX完成签到 ,获得积分10
39秒前
NexusExplorer应助欢喜从安采纳,获得10
41秒前
完美成协发布了新的文献求助10
47秒前
atom完成签到,获得积分10
50秒前
50秒前
江泽应助迷路又菱采纳,获得10
51秒前
52秒前
高分求助中
Thermodynamic data for steelmaking 3000
Teaching Social and Emotional Learning in Physical Education 900
藍からはじまる蛍光性トリプタンスリン研究 400
Organization Theory and Project Management: Administering Uncertainty in Norwegian Offshore Oil 400
Cardiology: Board and Certification Review 400
[Lambert-Eaton syndrome without calcium channel autoantibodies] 340
NEW VALUES OF SOLUBILITY PARAMETERS FROM VAPOR PRESSURE DATA 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2361457
求助须知:如何正确求助?哪些是违规求助? 2069253
关于积分的说明 5168592
捐赠科研通 1797454
什么是DOI,文献DOI怎么找? 897839
版权声明 557689
科研通“疑难数据库(出版商)”最低求助积分说明 479214