Assessment of Material Properties by Means of the Small Punch Test
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-21467-2_6
Reference89 articles.
1. Abendroth M, Kuna M (2003) Determination of deformation and failure properties of ductile materials by means of the small punch test and neuronal networks. Comput Mater Sci 28:633–644. doi: 10.1016/j.commatsci.2003.08.031
2. Abendroth M, Kuna M (2004) Determination of ductile material properties by means of the small punch test and neural networks. Adv Eng Mater 6(7):536–540. doi: 10.1002/adem.200400405
3. Abendroth M, Kuna M (2006) Identification of ductile damage and fracture parameters from the small punch test using neural networks. Eng Fract Mech 73(6):710–725. doi: 10.1016/j.engfracmech.2005.10.007
4. Alegre J, Cuesta I, Lorenzo M (2014) An extension of the Monkman-Grant model for the prediction of the creep rupture time using small punch tests. Exp Mech 54:1441–1451. doi: 10.1007/s11340-014-9927-6
5. Ardell AJ (1992) Mechanical behavior of ion-irradiated ordered intermetallic compounds. Mater Sci Eng A 152(1–2):212–226. doi: 10.1016/0921-5093(92)90070-H
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Taylor‐based smart flower optimization algorithm with the deep residual network to predict mechanical materials properties;Optimal Control Applications and Methods;2024-08-27
2. Investigating effects of element composition on the microstructure and mechanical properties of three types FeCrAl alloys through small punch test;Materials & Design;2024-02
3. High throughput structure–property relationship for additively manufactured 316L/IN625 alloy mixtures leveraging 2-step Bayesian estimation;Materials & Design;2023-05
4. Estimation of UTS from small punch test using an improved method;International Journal of Pressure Vessels and Piping;2022-12
5. DIC-aided analysis of the fatigue behaviour of a welded 316L stainless steel;Welding in the World;2022-07-20
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3