An innovative approach for bond strength modeling in FRP strip-to-concrete joints using adaptive neuro–fuzzy inference system

• Material Type: 記事
• Title: An innovative approach for bond strength modeling in FRP strip-to-concrete joints using adaptive neuro–fuzzy inference system
• Author Heading: Hosein Naderpour; https://orcid.org/0000-0002-4179-7816; Masoomeh Mirrashid; https://orcid.org/0000-0002-2751-8585; Kohei Nagai
• Publication Date: 2019-04-23
• Publication Date (W3CDTF): 2019-04-23
• Periodical title: Engineering with Computers
• No. or year of volume/issue: 36 3
• Volume: 36
• Issue: 3
• Pages: 1083-1100
• Publication date of volume/issue (W3CDTF): 2019-04-23
• ISSN (Periodical Title): 01770667
• Publication (Periodical Title): Springer Science and Business Media LLC
• Target Audience: 一般
• DOI: 10.1007/s00366-019-00751-y
• Date Created (W3CDTF): 2019-04-23
• Rights (production): http://www.springer.com/tdm
• Related Material (URI): http://link.springer.com/content/pdf/10.1007/s00366-019-00751-y.pdf; http://link.springer.com/article/10.1007/s00366-019-00751-y/fulltext.html
• Is Referenced By: Artificial Intelligence Models for Predicting Mechanical Properties of Recycled Aggregate Concrete (RAC): Critical Review; https://cir.nii.ac.jp/crid/1390574036154343296
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): Crossref; https://www.crossref.org

• Summary, etc.: In this study, a new computational approach for determination of the bond strength of fibre reinforced polymer (FRP) strip-to-concrete joints is prese...