西尾真由子

ニシオマユコ | Mayuko Nishio

所属機関・部署：
職名：准教授
ホームページURL (1件)： https://scholar.google.com/citations?user=Zwc5iUkAAAAJ&hl=en

研究分野 (1件)：構造工学、地震工学

研究キーワード (5件)：構造工学、応用力学 , インフラ維持管理, 構造信頼性, 地震リスク , モデルV&V, 不確定性定量化 , 逆解析, 機械学習, AI , データ同化, 構造モニタリング, 構造振動

競争的資金等の研究課題 (13件)：

全件表示

論文 (37件)：

Xianfeng Li, Mayuko Nishio, Kentaro Sugawara, Shoji Iwanaga, Toru Shimada, Hiroyuki Kanasaki, Hiromichi Kanai, Shitao Zheng, Pang-jo Chun. Enhancing prediction of landslide dam stability through AI models: A comparative study with traditional approaches. Geomorphology. 2024. 454. 109120-109120
Muhammad Rashid, Mayuko Nishio. System fragility evaluation of a curved highway bridge structure considering multi-direction seismic excitations. Advances in Structural Engineering. 2023
Taisei Saida, Mayuko Nishio. Transfer learning Gaussian process regression surrogate model with explainability for structural reliability analysis under variation in uncertainties. Computers & Structures. 2023. 281. 107014-107014
Taisei Saida, Mayuko Nishio. TL-GPRSM: A python software for constructing transfer learning Gaussian process regression surrogate model with explainability. Software Impacts. 2023. 100515-100515
Taisei Saida, Muhammad Rashid, Yudai Nemoto, Shota Tsukamoto, Takehiko Asai, Mayuko Nishio. CNN-based segmentation frameworks for structural component and earthquake damage determinations using UAV images. Earthquake Engineering and Engineering Vibration. 2023. 22. 2. 359-369

MISC (38件)：

Taisei Saida, Rashid Muhammad, Mayuko Nishio. Gaussian Process Regression Surrogate Model for Seismic Vulnerability Assessment of Highway Bridge Structure System. Lecture Notes in Civil Engineering. 2023. 520-529
Toko Okuda, Taisei Saida, Gen Matono, Mayuko Nishio. Digital twin framework for real-time dynamic analysis visualization with detecting dynamic changes in structures properties using PINN. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023. 2023
Taisei Saida, Mayuko Nishio. Gaussian process regression surrogate model for dynamic analysis to account for uncertainties in seismic loading. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023. 2023
才田大聖, 西尾真由子. 転移学習ガウス過程回帰サロゲートモデルによる構造性能解析の計算負荷低減. 計算工学講演会論文集(CD-ROM). 2022. 27
中溝智也, 西尾真由子. 3次元点群データからの薄肉構造部材のFEモデル構築に関する研究. 計算工学講演会論文集(CD-ROM). 2022. 27

特許 (2件)：

講演・口頭発表等 (5件)：

PINNを用いた圧密沈下予測とパラメータの推定
(第23回計測自動制御学会システムインテグレーション部門講演会SI2022 2022)
Capacity evaluation of existing bridges by integration of SHM data and numerical analysis
(11th International Conference on Structural Health Monitoring of Intelligent Infrastructure 2022)
Physics-Informed Neural Networks for Prediction of Ground Settlement
(15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics 2022)
System Fragility Analysis of a Geometrically Complex Bridge System for Seismic Risk Evaluation of Existing Highway Bridge Network
(8th World Conference on Structural Control and Monitoring 2022)
Dynamic response evaluation of an existing bridge structure based on Finite Element Modelling
(9th Experimental Vibration Analysis for Civil Engineering Structures (EVACES 2021) 2021)

学歴 (3件)：

学位 (1件)：

経歴 (5件)：

委員歴 (3件)：

2021/06 - 現在 Editorial board of the Journal of Civil Structural Health Monitoring Associate editor
2017/12 - 現在 International Society for Structural Health Monitoring of Intelligent Infrastructure Council member
2017/04 - 現在土木学会応用力学委員会土木分野の数値解析におけるV&Vに関する小委員会/委員

受賞 (4件)：

所属学会 (5件)：

日本計算工学会 , 日本鋼構造協会 , International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII) , IABSE 国際構造工学会 , 土木学会

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西尾 真由子