Impact of SCB Specimen Size, Temperature, Loading Rate, and Loading Mode on Fracture Behavior of Asphalt Mixture Using Response Surface Method

IF 3.1 2区 材料科学 Q2 ENGINEERING, MECHANICAL Fatigue & Fracture of Engineering Materials & Structures Pub Date : 2024-10-31 DOI:10.1111/ffe.14474
Zahra Vaseghi, Sadjad Pirmohammad, Ramin Momeni
{"title":"Impact of SCB Specimen Size, Temperature, Loading Rate, and Loading Mode on Fracture Behavior of Asphalt Mixture Using Response Surface Method","authors":"Zahra Vaseghi,&nbsp;Sadjad Pirmohammad,&nbsp;Ramin Momeni","doi":"10.1111/ffe.14474","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This study aimed to investigate the influence of semicircular bend (SCB) specimen size (<i>R</i>), loading mode (<i>M</i><sup>e</sup>), and loading rate (<i>Lr</i>) on fracture resistance indicators, namely, fracture work (<i>W</i><sub>f</sub>), fracture energy (<i>G</i><sub>f</sub>), and fracture strength (<i>K</i><sub>f</sub>), of asphalt concrete at three different temperatures (−30°C, −20°C, and 10°C). Using Minitab software, response surface methodology (RSM) under central composite design (CCD) was employed to design experiments and develop predictive models for <i>W</i><sub>f</sub>, <i>G</i><sub>f</sub>, and <i>K</i><sub>f</sub> in terms of <i>R</i>, <i>M</i><sup>e</sup>, and <i>Lr</i> at each temperature. The results demonstrated that the RSM models accurately predicted the fracture test data for all temperatures. The analysis of variance (ANOVA) revealed that <i>R</i>, <i>M</i><sup>e</sup>, and <i>Lr</i> significantly influenced <i>W</i><sub>f</sub>, <i>G</i><sub>f</sub>, and <i>K</i><sub>f</sub> at each temperature, whereas the square terms <i>R</i><sup>2</sup>, <i>M</i><sup>e2</sup>, and <i>Lr</i><sup>2</sup> were not significant. The significance of two-way interaction terms varied across different responses and temperatures. Overall, the experiments conducted at −30°C, −20°C, and 10°C indicated that varying <i>R</i>, <i>Lr</i>, and <i>M</i><sup>e</sup> had notable effects on <i>W</i><sub>f</sub>, <i>G</i><sub>f</sub>, and <i>K</i><sub>f</sub>. Increasing <i>R</i> and <i>M</i><sup>e</sup> while decreasing <i>Lr</i> resulted in an increase in <i>W</i><sub>f</sub> and <i>G</i><sub>f</sub>. Furthermore, <i>K</i><sub>f</sub> exhibited a direct relationship with <i>R</i> and <i>Lr</i> but an inverse relationship with <i>M</i><sup>e</sup>.</p>\n </div>","PeriodicalId":12298,"journal":{"name":"Fatigue & Fracture of Engineering Materials & Structures","volume":"48 1","pages":"382-403"},"PeriodicalIF":3.1000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fatigue & Fracture of Engineering Materials & Structures","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ffe.14474","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

This study aimed to investigate the influence of semicircular bend (SCB) specimen size (R), loading mode (Me), and loading rate (Lr) on fracture resistance indicators, namely, fracture work (Wf), fracture energy (Gf), and fracture strength (Kf), of asphalt concrete at three different temperatures (−30°C, −20°C, and 10°C). Using Minitab software, response surface methodology (RSM) under central composite design (CCD) was employed to design experiments and develop predictive models for Wf, Gf, and Kf in terms of R, Me, and Lr at each temperature. The results demonstrated that the RSM models accurately predicted the fracture test data for all temperatures. The analysis of variance (ANOVA) revealed that R, Me, and Lr significantly influenced Wf, Gf, and Kf at each temperature, whereas the square terms R2, Me2, and Lr2 were not significant. The significance of two-way interaction terms varied across different responses and temperatures. Overall, the experiments conducted at −30°C, −20°C, and 10°C indicated that varying R, Lr, and Me had notable effects on Wf, Gf, and Kf. Increasing R and Me while decreasing Lr resulted in an increase in Wf and Gf. Furthermore, Kf exhibited a direct relationship with R and Lr but an inverse relationship with Me.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于响应面法的SCB试样尺寸、温度、加载速率和加载方式对沥青混合料断裂行为的影响
本研究旨在探讨半圆弯(SCB)试件尺寸(R)、加载方式(Me)和加载速率(Lr)对沥青混凝土在−30℃、−20℃和10℃三种不同温度下断裂功(Wf)、断裂能(Gf)和断裂强度(Kf)等抗断裂指标的影响。采用Minitab软件,采用中心复合设计(CCD)下的响应面法(RSM)设计实验,建立Wf、Gf和Kf在各温度下随R、Me和Lr变化的预测模型。结果表明,RSM模型能够准确预测所有温度下的断裂试验数据。方差分析(ANOVA)显示,R、Me和Lr显著影响Wf、Gf和Kf,而平方项R2、Me2和Lr2不显著。双向相互作用项的意义在不同的响应和温度下有所不同。总体而言,在- 30°C、- 20°C和10°C下进行的实验表明,不同的R、Lr和Me对Wf、Gf和Kf有显著影响。增加R和Me,降低Lr导致Wf和Gf增加。Kf与R、Lr呈正相关,与Me呈负相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.30
自引率
18.90%
发文量
256
审稿时长
4 months
期刊介绍: Fatigue & Fracture of Engineering Materials & Structures (FFEMS) encompasses the broad topic of structural integrity which is founded on the mechanics of fatigue and fracture, and is concerned with the reliability and effectiveness of various materials and structural components of any scale or geometry. The editors publish original contributions that will stimulate the intellectual innovation that generates elegant, effective and economic engineering designs. The journal is interdisciplinary and includes papers from scientists and engineers in the fields of materials science, mechanics, physics, chemistry, etc.
期刊最新文献
Issue Information Issue Information Fatigue Design Curves for Industrial Applications: A Review A High Load Clipping Criterion Based on the Probabilistic Extreme Load of Fatigue Spectrum The Dual Role of Nb Microalloying on the High-Cycle Fatigue of 1.0%C–1.5%Cr Bearing Steel
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1