Impact damage identification for composite structures via laser-induced graphene-based electrical impedance tomography

Reducing Experimental Data Requirements in CNN-based damage detection through Transfer Learning

Finja Rentzsch holm, Tobias Schalm, Jorge Luis Jiménez Aparicio, K. Schröder

TL;DR: This study demonstrates that transfer learning enables efficient adaptation to real-world conditions, offering a cost-effective and scalable solution for data-driven SHM.

While neural networks represent a promising approach for evaluating sensor data to assess damage presence, location and severity, large amounts of data are required for training. However, the generation of experimental data is both labor-intensive and costly. Transfer learning is…Read more

Integrated Structural Health Monitoring of Flax Fiber Reinforced Composites Using Nonlinear Resonance Acoustics, Acoustic Emission and Data-Driven Damage Identification

Othmane Achouham, C. Mechri, R. El Guerjouma, S. Allagui, Zeineb Kesentini, A. El Mahi

TL;DR: This work demonstrates that the combined use of nonlinear acoustics, acoustic emission, and machine learning constitutes a robust and highly sensitive SHM framework for composite structures.

This paper presents an integrated Structural Health Monitoring (SHM) strategy for flax fiber reinforced thermoplastic composites, combining Nonlinear Resonance Acoustic Spectroscopy (NLRAS), Acoustic Emission (AE), and data-driven damage identification based on machine learning.…Read more

Time-Series Forecasting of Structural Temperature in Heritage Buildings Using Regression and Deep Learning Approaches

Waqas Qayyum, N. Cavalagli, E. García-Macías, F. Ubertini

Accurate prediction of the structural temperature field is crucial for the static and dynamic monitoring of engineering structures, with particular significance for heritage buildings where material preservation is paramount. The complex, time-lagged, and non-linear relationship…Read more

A Digital Twin Platform for Smart Aircraft

Z. Sharif Khodaei, F. Aliabadi

Online Health Management (HM) plays a pivotal role in optimizing the lifecycle of aircraft while ensuring safety, reliability, and structural integrity. During service, aircraft structures experience complex cyclic loading, making accurate load analysis essential for effective li…Read more

Electromagnetic Assessment of Fatigue Degradation in Ferromagnetic Steel in View of Statistics and Monitoring

Christian Boller, Iman Ahadi Akhlaghi

Fatigue in metallic materials leads to progressive degradation driven by a sequence of microstructural mechanisms occurring over the life cycle. While fracture is typically the most obvious and critical damage state, it only appears at the end of life. However, when no fracture i…Read more

Integrating Ambient Vibration Monitoring and Machine Learning for Condition Assessment of Heritage Masonry Bridges: A Venetian Case Study

Hamid Imani moghaddam, S. Russo, Raimondo Betti

Preserving the structural integrity of heritage masonry arch bridges presents unique challenges, particularly within historically dense environments like Venice where non-invasive methods are paramount. Ambient vibration monitoring (AVM) offers a well-established starting point,…Read more