Data Science in Engineering, Vol. 11 : Proceedings of the 43rd IMAC, a Conference and Exposition on Structural Dynamics 2025

Matarazzo, Thomas (EDT)/ Hemez, François (EDT)/ Tronci, Eleonora Maria (EDT)

River Publishers（2026/01発売）

• 製本 Hardcover:ハードカバー版／ページ数 46 p.
• 言語 ENG
• 商品コード 9788743801566
• DDC分類 620.104

Full Description

Data Science in Engineering, Volume 11: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the eleventh volume of twelve from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:

Novel Data-Driven Analysis Methods
AI-Driven Digital Twins for Structural Modeling and Dynamic Characterization
Transfer Learning and Population Based Monitoring
Data-Driven Techniques for System Prognostics and Health Monitoring
Applications of AI in Structural Dynamics and System Identification
Uncertainty Quantification in Data-Driven and Hybrid Models
Advanced Techniques for Real-Time Monitoring and Predictive Analysis

Contents

1. Data-Driven Method for Reduced Order Modeling of Blisks with Large and Small Mistuning 2. System Identification of Data from Rotating Machinery Using Deep Learning Network Training 3. Towards PEAR: a Benchmark Dataset for Population-based SHM 4. The Use of Machine Learning in Improved Hydrostatic Load Prediction for Inland Waterways Navigation Infrastructure 5. Experimental Analysis to Enable Low-Latency Structural Health Monitoring for Electronics in High-Rate Dynamic Environments 6. Fast-TDA Implementation for High Rate Dynamic Systems in Noisy Environment and Introduction to Chaotic System