Deep learning based automated fracture identification in material characterization experiments-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep learning based automated fracture identification in material characterization experiments

Published:2024-04 Issue: Volume:60 Page:102402
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Karathanasopoulos Nikolaos^ORCID,Hadjidoukas Panagiotis

Funder

University of Patras

Publisher

Elsevier BV

Reference76 articles.

1. Experiments on stress-triaxiality dependence of material behavior of aluminum alloys;Driemeier;Mech. Mater.,2010

2. Stiffness and strength of hexachiral honeycomb-like metamaterials;Tancogne-Dejean;J. Appl. Mech.,2019

3. Modeling of fracture in small punch tests for small- and large-scale yielding conditions at various temperatures;Soyarslan;Int. J. Mech. Sci.,2016

4. Prediction of ductile fracture for advanced high strength steel with a new criterion: Experiments and simulation;Lou;J. Mater. Process. Technol.,2013

5. A new model of metal plasticity and fracture with pressure and Lode dependence;Bai;Int. J. Plast.,2008

Cited by 6 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. Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation;Advanced Engineering Informatics;2024-10

2. Deep learning, deconvolutional neural network inverse design of strut-based lattice metamaterials;Computational Materials Science;2024-09

3. Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard;Applied Sciences;2024-08-23

4. Tensile Specimen Circular Grid Pattern and AI-Based Strain Calculation Method;Applied Sciences;2024-08-20

5. Multi-Objective Optimization Design of Foam Concrete Mechanical Properties Through the Integration of Fem and Dl;2024

同舟云学术

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