1st Edition

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

54 Pages 30 Color & 5 B/W Illustrations
by River Publishers

54 Pages 30 Color & 5 B/W Illustrations
by River Publishers

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,... Read more

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

Biography

Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downey