ジャーナル論文 Making stress visible: A method to quantify local stress distribution in metals using digital image correlation method
Myeong-heom Park (author) (この著者で検索)
;
Saho Yako (author) (この著者で検索)
;
Yasunari Takeda (author) (この著者で検索)
;
Akinobu Shibata (author) (この著者で検索)
ORCID SAMURAI ;
Nobuhiro Tsuji (author) (この著者で検索)
コレクション

引用
Myeong-heom Park, Saho Yako, Yasunari Takeda, Akinobu Shibata, Nobuhiro Tsuji. Making stress visible: A method to quantify local stress distribution in metals using digital image correlation method. Scripta Materialia. 2024, 252 (), 116265. https://doi.org/10.1016/j.scriptamat.2024.116265

説明:

(abstract)

Stress (force) induces the deformation of materials. Stress distribution in materials is generally heterogeneous depending on their shapes and microstructures, which governs their global deformation and failure, and sometimes stress concentration induces serious incidents in society. However, it has been challenging to experimentally quantify stress distributions in materials in macro- and micro-scales by now. Here, we newly propose and establish a simple but promising method to quantify local stress distributions in materials by applying the digital image correlation (DIC) technique, which is applicable to all length scales. We expect that the newly developed method would become the first step to give an impact on fundamentally understanding the deformation and fracture of materials in various scales as well as on practically reducing risks in structural components.

権利情報:

キーワード: Local stress distributions, Elastic strain, Digital image correlation (DIC), Structural materials, Stress visualization

刊行年月日: 2024-07-13

出版者: Elsevier BV

掲載誌:

  • Scripta Materialia (ISSN: 13596462) vol. 252 116265

研究助成金:

  • Japan Science and Technology Agency

原稿種別: 著者最終稿 (Accepted manuscript)

MDR DOI:

公開URL: https://doi.org/10.1016/j.scriptamat.2024.116265

関連資料:

その他の識別子:

連絡先:

更新時刻: 2024-11-05 17:26:41 +0900

MDRでの公開時刻: 2026-07-13 08:24:55 +0900

ファイル名 サイズ
ファイル名 SMM-24-0709_R1_MDR.pdf (サムネイル)
application/pdf
サイズ 2.63MB 詳細