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Constitutive Models for Rubber XI最新文献

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Miner-Bayes approach to filled elastomer fatigue testing 填充弹性体疲劳试验的Miner-Bayes方法
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-71
A. Perriot, S. Gatien, L. Epinat, J.-B. Fourrel de Frettes
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引用次数: 0
Fatigue crack initiation around inclusions for a carbon black filled natural rubber: an analysis based on micro-tomography 碳黑填充天然橡胶夹杂物周围疲劳裂纹的微层析成像分析
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-64
T. Glanowski, Y. Marco, V. L. Saux, B. Huneau, C. Champy, P. Charrier
: The fatigue properties of fi lled elastomers are strongly related to the inclusions ’ population induced by their complex recipes and the successive stages of the manufacturing process (mixing, injection and curing). The improvement of these properties involves at fi rst an ability to describe the statistical features of these inclusions ’ population in terms of size, geometry, nature and spatial distribution. Then a detailed understanding of the damage mechanisms is required in order to de fi ne the mechanical criticality of inclusions according to their characteristics under cyclic loading. The aim of the study is to take advantage of tomography observations that enable a three dimensional vision to access the statistical description of the inclusions population and of the related damage mechanisms. First of all, a tool to detect and characterize accurately inclusions and cracks is presented. Then, this tool is applied to an interrupted specimen in fatigue, for a compound fi lled with carbon black. A statistical analysis is performed on the nature of inclusions leading to cracks, on the kind of damage mechanisms (polar crack, cavitation between 2 inclusions or failure of an inclusion) and on the density and the geometric properties of activated inclusions. An additional focus is given on the inclusions leading to the biggest cracks in order to assess more precisely the features (nature, size . .. … ) of the most critical inclusions for fatigue.
填充弹性体的疲劳性能与它们复杂的配方和连续的制造过程(混合、注射和固化)所引起的夹杂物数量密切相关。这些特性的改进首先涉及描述这些内含物在大小、几何形状、性质和空间分布方面的统计特征的能力。然后,为了根据夹杂物在循环载荷下的特性确定其力学临界,需要对其损伤机制进行详细的了解。本研究的目的是利用断层扫描观察的优势,使三维视觉能够访问夹杂物种群和相关损伤机制的统计描述。首先,提出了一种准确检测夹杂物和裂纹的工具。然后,将该工具应用于疲劳状态下的中断试样,以获得炭黑填充的化合物。统计分析了导致裂纹的夹杂物的性质、损伤机制(极性裂纹、两个夹杂物之间的空化或一个夹杂物的破坏)以及活化夹杂物的密度和几何特性。为了更精确地评估其特征(性质、大小……),对导致最大裂缝的夹杂物给予了额外的关注。…)最关键的疲劳夹杂物。
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引用次数: 3
Reliability of the Data-Driven Identification algorithm with respect to incomplete input data 数据驱动识别算法在不完整输入数据下的可靠性
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-55
Marie Dalémat, M. Coret, A. Leygue, E. Verron
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引用次数: 3
Nanomechanics on thermo-mechanical process of rubber-like materials 类橡胶材料热-机械过程的纳米力学研究
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-12
K. Akutagawa, K. Tsunoda, Y. Morishita
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引用次数: 0
Sensitivity based virtual fields for identifying hyperelastic constitutive parameters 基于灵敏度的虚拟场识别超弹性本构参数
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-29
A. Tayeb, J. Cam, E. Robin, F. Canévet, M. Grédiac, E. Toussaint, X. Balandraud
: In this study, the Virtual Fields Method (VFM) is applied to identify constitutive parameters of hyperelastic models from a heterogeneous test. Digital image correlation (DIC) was used to estimate both displacement and strain fi elds required by the identi fi cation procedure. Two different hyperelastic models were considered: the Mooney model and the Ogden model. Applying the VFM to the Mooney model leads to a linear system which involves the hyperelastic parameters due to the linearity of the stress with respect to these parameters. In the case of the Ogden model, the stress is a nonlinear function of the hyperelastic param- eters and a suitable procedure shall be used to determine virtual fi elds leading to the best identi fi cation. This complicates the identi fi cation procedure and affects its robustness. This is the reason why the sensitivity based virtual fi eld approach recently proposed in case of anisotropic plasticity by Marek et al. (2017) has been successfully implemented to be applied in case of hyperelasticity. Results obtained clearly highlight the bene fi ts of such an inverse identi fi cation approach in case of non-linear systems.
在本研究中,采用虚拟场方法(VFM)从非均质试验中识别超弹性模型的本构参数。数字图像相关(DIC)用于估计识别过程所需的位移场和应变场。考虑了两种不同的超弹性模型:Mooney模型和Ogden模型。将VFM应用于Mooney模型,由于应力相对于这些参数的线性,导致一个涉及超弹性参数的线性系统。在Ogden模型的情况下,应力是超弹性参数的非线性函数,一个合适的程序应使用来确定虚拟场,导致最佳识别。这使得辨识过程变得复杂,并影响辨识的鲁棒性。这就是为什么Marek等人(2017)最近提出的基于各向异性塑性的基于灵敏度的虚拟场方法已经成功地应用于超弹性情况的原因。得到的结果清楚地突出了这种反辨识方法在非线性系统中的好处。
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引用次数: 2
Influence of various curing systems and carbon black content on the bulk modulus of EPDM rubber 不同硫化体系及炭黑含量对三元乙丙橡胶体积模量的影响
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-36
A. Ricker, N. Kröger
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引用次数: 2
Fatigue of filled rubber due to hysteretic heating 填充橡胶因滞后加热而产生的疲劳
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-65
B. Marvalová, I. Petríková, T. Nam
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引用次数: 1
Constitutive model and structural representation of time- and temperature-dependent strain-induced crystallization in rubber 橡胶中随时间和温度变化的应变结晶的本构模型和结构表征
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-8
R. Behnke, T. Berger, M. Kaliske
{"title":"Constitutive model and structural representation of time- and temperature-dependent strain-induced crystallization in rubber","authors":"R. Behnke, T. Berger, M. Kaliske","doi":"10.1201/9780429324710-8","DOIUrl":"https://doi.org/10.1201/9780429324710-8","url":null,"abstract":"","PeriodicalId":10574,"journal":{"name":"Constitutive Models for Rubber XI","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86234217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Energy based characterization of fracture and fatigue behaviour of rubber in complex loading conditions 复杂载荷条件下橡胶断裂和疲劳性能的能量表征
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-63
S. Dedova, K. Schneider, G. Heinrich
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引用次数: 3
Current challenges in rubber modeling: Filler flocculation kinetics and self-healing network properties 当前橡胶建模的挑战:填料絮凝动力学和自愈网络特性
Pub Date : 2019-06-07 DOI: 10.1201/9780429324710-2
G. Heinrich
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引用次数: 0
期刊
Constitutive Models for Rubber XI
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