Article(id=1241837063897677956, tenantId=1146029695717560320, journalId=1241755870837649424, issueId=1241837062781997926, articleNumber=null, orderNo=null, doi=10.19636/j.cnki.cjsm42-1250/o3.2025.007, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1743264000000, receivedDateStr=2025-03-30, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1774006628250, onlineDateStr=2026-03-20, pubDate=1750867200000, pubDateStr=2025-06-26, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1774006628250, onlineIssueDateStr=2026-03-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774006628250, creator=13701087609, updateTime=1774006628250, updator=13701087609, issue=Issue{id=1241837062781997926, tenantId=1146029695717560320, journalId=1241755870837649424, year='2025', volume='46', issue='3', pageStart='297', pageEnd='436', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1774006627984, creator=13701087609, updateTime=1774006677005, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1241837268458083311, tenantId=1146029695717560320, journalId=1241755870837649424, issueId=1241837062781997926, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1241837268462277616, tenantId=1146029695717560320, journalId=1241755870837649424, issueId=1241837062781997926, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=343, endPage=355, ext={EN=ArticleExt(id=1241837067429281927, articleId=1241837063897677956, tenantId=1146029695717560320, journalId=1241755870837649424, language=EN, title=Fatigue Analysis of Conical Electroactive Polymer Actuators, columnId=1241831201674171363, journalTitle=Chinese Journal of Solid Mechanics, columnName=Research Papers, runingTitle=null, highlight=null, articleAbstract=
This study investigates the fatigue behavior of electroactive polymer (EAP) membrane actuators under coupled electromechanical loading to enhance the reliability and durability of EAP-based devices in smart applications. The motivation of this study is to address fatigue failure in EAP membranes, which are increasingly used in soft robotics, artificial muscles, and adaptive structures, yet frequently experience premature failure under dynamic loading conditions. The research employs a viscoelasticity neo-Hookean model to simulate the mechanical behavior of EAP membrane actuators. Based on the principles of crack nucleation and configurational mechanics, the three principal configurational stresses of the model are calculated. A fatigue life factor is introduced to evaluate the fatigue state of the membrane at different positions. The investigation focuses on two key factors influencing fatigue behavior: the elastic polymer network ratio and pre-stretch level. The study systematically analyzes the fatigue increment of the membrane over time under both constant and half-sine cyclic loading conditions. Simulations demonstrate that appropriate pre-stretching significantly improves fatigue resistance of EAP membrane actuators under both constant and half-sine cyclic loading conditions, identifying an optimal pre-stretch level. Additionally, the study reveals that the elastic polymer network ratio plays a crucial role in determining fatigue behavior, with higher network ratios generally leading to improved fatigue performance. These findings inform the design and application of EAP-based devices. By providing insights into fatigue mechanisms and offering strategies to mitigate fatigue failure, this study contributes to the development of more reliable and durable soft actuators. The results can be applied to optimize EAP membrane performance in various smart systems including soft robotics, wearable devices, and adaptive structures.
, correspAuthors=Guanghong Miao, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Guanghong Miao, Xiangyu Chu, Shun Li, Cheng Yuan), CN=ArticleExt(id=1241837090145632839, articleId=1241837063897677956, tenantId=1146029695717560320, journalId=1241755870837649424, language=CN, title=锥形电活性聚合物作动器的疲劳分析, columnId=1241831201896469478, journalTitle=固体力学学报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=
以一款电活性聚合物薄膜作动器为研究对象,应用粘弹性Neo-Hookean模型展开数值模拟研究,建立其在力电作用下随时间演进的力学模型. 研究基于裂纹成核原理,利用构型力学理论框架,对模型的三项主构型应力进行了计算,并通过疲劳寿命因子评估了薄膜各位置的疲劳状态. 针对不同载荷形式,探讨了弹性聚合物网络占比对薄膜疲劳状态的影响,分析了固定载荷与半正弦周期载荷条件下,薄膜疲劳增量随时间的演变. 此外,探讨了不同加载形式下预拉伸程度对薄膜疲劳的影响,模拟结果表明,合理的预拉伸可以显著提高在固定载荷和半正弦周期载荷下的薄膜疲劳寿命.
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