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J-GLOBAL ID：201801001560886157 Update date: Dec. 27, 2024

Shiraiwa Takayuki

シライワタカユキ | Shiraiwa Takayuki

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Affiliation and department：
Homepage URL (1)： http://rme.mm.t.u-tokyo.ac.jp/

Research field (4)： Structural and functional materials , Metallic materials , Composite materials and interfaces , Material fabrication and microstructure control

Research keywords (7)： Mechanical properties , Materials Informatics , Fracture , Fatigue , Machine Learning , Structural Health Monitoring , Acoustic emission

Research theme for competitive and other funds (33)：

2024 - 2026 結晶塑性解析による超温度場下の残留応力予測と力学特性解析
2023 - 2025 微視組織と転位の記述による材料探索
2024 - 2025 強度と導電性を両立するナノ積層Cu/Nb複合材の開発
2024 - 2025 有限要素解析による小型自動車部材の腐食疲労寿命予測
2024 - 2025 超小型コネクタのための高強度高導電性材料の開発

2024 - 2025 金属造形プロセス中のアコースティックエミッション解析による欠陥検出

2024 - 2025 アコースティックエミッション法によるNaCl結晶中の転位運動解析

2022 - 2025 Data-Driven Design of Mechanical properties in Metallic Layered Structures

2022 - 2025 AE法による純アルミニウムの転位動力学解析手法の開発

2024 - 2024 微視組織を考慮した腐食疲労の数値解析手法の開発

2024 - 2024 高強度鋼の変形破壊挙動の3次元計測とデータ駆動型解析

2023 - 2024 持続可能なエネルギーのための腐食疲労予測法の開発

2021 - 2024 Elucidation of fatigue mechanism by AE analysis based on observation data

2022 - 2024 疲労損傷モニタリングのためのAE信号の統計モデリング

2022 - 2024 その場断続陽極分極と機械学習法によるアルミニウム合金の局部腐食機構の解明と予測モデルの開発

2021 - 2023 Elucidation of kink deformation dynamics based on rank-1 connection

2022 - 2023 その場微小電気化学と機械学習法による金属材料の局部腐食のAE発生源メカニズムの解明

2022 - 2023 AE法と有限要素解析による高強度鋼溶接部の低温割れ評価

2018 - 2023 Development of materials integration (MI) utilization technology for performance and life of magnesium materials

2018 - 2023 Establishment of the Inverse Design MI Basis for Advanced Structural Materials and Processes

2018 - 2023 Materials science on mille-feuille structure (MFS)

2022 - 2022 結晶塑性解析による高強度アルミニウム合金の疲労性能予測

2019 - 2021 Statistical modeling of fatigue crack initiation in multi-phase microstructure

2019 - 2021 Fatigue performance prediction of high strength aluminum alloy using crystal plasticity analysis

2019 - 2020 Data-driven AE signal analysis for fatigue assessment of advanced steel materials

2017 - 2019 Prediction of fatigue crack initiation by crystal plasticity finite element simulation and data science method

2017 - 2019 Fatigue prediction of dual-phase microstructure by data-driven approach

2014 - 2019 Development of Materials Integration System

2015 - 2017 Global damage monitoring by application of RFID tag destruction

2015 - 2016 Development of a wireless damage memory sensor for fatigue monitoring of steel decks

2014 - 2015 Research on RFID Sensor Network for Structure Damage Diagnosis

2013 - 2015 Innovative structural diagnostic sensor by destruction of IC tag

2010 - 2013 Development of new fatigue sensing technology using RFID tag

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Papers (103)：

Fabien Briffod, Koki Yasuda, Junyu Zhu, Takayuki Shiraiwa, Mark Jhon, Fergyanto Gunawan, Rahul Sahay, Nagarajan Raghavan, Arief S. Budiman, Manabu Enoki. Fatigue and fracture of accumulative roll-bonded Cu/Nb materials: Effects of layer thickness and loading direction. International Journal of Fatigue. 2025. 193. 108772-108772
Wujun Yin, Fabien Briffod, Haoyu Hu, Kazuhiko Yamazaki, Takayuki Shiraiwa, Manabu Enoki. Role of prior austenite grain boundary and retained austenite in strain localization of medium-carbon high-strength steels. Acta Materialia. 2024. 281. 120422-120422
Kaige Wu, Nobu Yatagai, Kaita Ito, Takayuki Shiraiwa, Manabu Enoki. Direct evidence of hydrogen bubble evolution as an acoustic emission source in metal corrosion. Corrosion Science. 2024. 240. 112429-112429
Daiki Kuriki, Fabien Briffod, Takayuki Shiraiwa, Manabu Enoki. Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys. Acta Materialia. 2024. 281. 120398-120398
Haoyu Hu, Fabien Briffod, Wujun Yin, Takayuki Shiraiwa, Manabu Enoki. Quantitative investigation of slip band activities in a bimodal titanium alloy under pure fatigue and dwell-fatigue loadings. International Journal of Fatigue. 2024. 182. 108203-108203

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MISC (5)：

白岩隆行. データ駆動型アプローチによる材料開発 : MIntによる鉄鋼材料の疲労予測-Materials Development by Data-Driven Approach : Fatigue Prediction of Steel Materials by MInt-ぷらすとす ; 小特集号データ駆動型ものづくり技術の最前線. 塑性と加工 = Journal of the Japan Society for Technology of Plasticity : 日本塑性加工学会論文誌. 2022. 63. 735. 208-211
SHIRAIWA Takayuki. Materials Development by Data-Driven Approach-Fatigue Prediction of Steel Materials by MInt-. PLASTOS. 2022. 5. 52. 208-211
白岩隆行. 社会インフラに見るICT 安心・安全を考えた社会インフラとセンサネットワーク疲労と腐食の長期無線モニタリング. 月刊自動認識. 2018. 31. 13. 1-5
白岩隆行. Difficulties and Interests in Evaluating Damage Deterioration of Iron and Steel. ふぇらむ = Bulletin of the Iron and Steel Institute of Japan : (一社)日本鉄鋼協会会報. 2017. 22. 8. 454-457
白岩隆行. 鋼床版の疲労モニタリングのための無線式損傷記憶センサの開発. 高速道路と自動車. 2016. 59. 9. 30-31

Lectures and oral presentations (383)：

Classification of AE signals during laser irradiation in Ni-based alloys by machine learning
(24th Acoustic Emission Conference 2024)
Analysis of AE Behavior in Directionally Solidified Ni-Based Superalloy during Tensile Testing
(24th Acoustic Emission Conference 2024)
Two-step initiation model of light metal pitting based on AE signals
(24th Acoustic Emission Conference 2024)
Prediction of strain accumulation in dwell fatigue of Ti-6Al-4V alloy by AE method
(24th Acoustic Emission Conference 2024)
Crystal plasticity analysis of strain localization in quenching and partitioning steel
(The 188th ISIJ Autmn Meeting 2024)

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Education (3)：

2010 - 2013 The University of Tokyo School of Engineering Department of Materials Engineering (Doctor's Course)
2008 - 2010 The University of Tokyo School of Engineering Department of Materials Engineering (Master's Course)
2004 - 2008 The University of Tokyo Faculty of Engineering Department of Materials Engineering

Professional career (1)：

博士(工学) (東京大学)

Work history (4)：

2020/04 - 現在 The University of Tokyo Department of Materials Engineering, School of Engineering Lecturer
2015/04 - 2020/03 The University of Tokyo Department of Materials Engineering, School of Engineering Assistant Professor
2013/04 - 2015/03 The University of Tokyo Department of Materials Engineering, School of Engineering Project Researcher
2010/04 - 2013/03 Japan Society for the Promotion of Science Research Fellowships for Young Scientists (DC1)

Committee career (4)：

2023/04 - 現在日本金属学会関東支部委員
2020/04 - 現在日本非破壊検査協会アコ-スティック・エミッション部門幹事
2016/07 - 現在日本金属学会関東支部ヤングメタラジスト研究交流会運営委員会委員
2022/04 - 2024/03 全国大学材料関係教室協議会事務局

Awards (20)：

2022/12 - The 5th International Symposium on Long-Period Stacking/Order Structure and Mille-feuille Structure (LPSO/MFS2022) Best Poster Award Numerical Investigation of the Microstructural Features Favoring Kink Band in Layered α/β Ti-9Cr Alloy
2022/09 - The Japan Institute of Metals and Materials Excellent Poster Award LPSO相を持つMg-Zn-Y合金の高温圧縮時のキンク形成の検討
2022/06 - The 7th International Conference on Advanced Steels (ICAS2022) Excellent Poster Award Micromechanical investigation of ductile void nucleation in dual-phase steels with varying microstructure
2021/09 - The Japan Institute of Metals and Materials Young Researcher Award Research on elucidation of fatigue fracture mechanism by AE method and numerical analysis
2021/03 - 自動車技術会自動車技術会大学院研究奨励賞 DP鋼の組織-特性関係の順解析と逆解析

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Association Membership(s) (7)：

THE JAPAN SOCIETY OF MECHANICAL ENGINEERS , THE JAPANESE SOCIETY FOR NON-DESTRUCTIVE INSPECTION , THE IRON AND STEEL INSTITUTE OF JAPAN , THE JAPAN INSTITUTE OF METALS AND MATERIALS , American Society for Nondestructive Testing , The Minerals, Metals & Materials Society (TMS) , THE JAPAN INSTITUTE OF LIGHT METALS

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