Periodic Reporting for period 1 - GW4SHM (Guided Waves for Structural Health Monitoring)
Reporting period: 2020-01-01 to 2021-12-31
Structural health monitoring (SHM) is essential to guarantee the safe and reliable operation of technical appliances and will be a key enabler to exploit emerging technologies such as remaining useful lifetime prognosis, condition-based maintenance, and digital twins. Particularly, SHM using Ultrasonic Guided Waves (UGW) is a promising approach for monitoring chemical plants, pipelines, transport systems and aeronautical structures. While substantial progress has been made in the development of SHM technology, current techniques are often realised only at the lab-scale. Missing quantification of reliability hinders their practical application. The substantial effort for signal processing and permanent transducer integration as well as the lack of efficient simulation tools to improve understanding of wave-structure interaction and to predict the capabilities of the system limit their widespread use. Training of PhD students specialised in SHM is limited and fragmented in Europe. The aim of the GW4SHM project is to combine for the first time efficient simulation and signal processing tools for SHM and to assess the reliability of the monitoring systems. The project brings together partners from academia and industry and will train a new generation of researchers skilled in all aspects of SHM, enabling them to transform SHM research into practical applications. Focusing on aeronautics, petrochemistry and the automotive sector as initial pilot cases, we will develop SHM-concepts to assess the integrity of structures and create ready-to-use tools for industry and other SHM users. The strong collaboration between mathematicians, physicists and engineers aims to bring the capabilities and applicability of SHM methods to the next level. Our students will acquire multidisciplinary scientific expertise, complementary skills, and experience working in academia and industry. The outcome of the project will pave the way for integrating SHM into real-world engineering structures.
- The recruitment process will be completed by April 1, 2021.
- The first Training Event took place in November 2020.
- First technical results were achieved by ESR12, Aadhik Asokoumar at Kaunas Technical University, Lithuania and published here: https://doi.org/10.3390/ma14051058. The work compares three different types of air-coupled testing techniques, namely through transmission, guided waves, and guided wave tomography. The main conclusion is that guided wave tomography can provide much more details about the structure and damage present even at lower frequencies when compared with the other two methods.
- The first Training Event took place in November 2020.
- First technical results were achieved by ESR12, Aadhik Asokoumar at Kaunas Technical University, Lithuania and published here: https://doi.org/10.3390/ma14051058. The work compares three different types of air-coupled testing techniques, namely through transmission, guided waves, and guided wave tomography. The main conclusion is that guided wave tomography can provide much more details about the structure and damage present even at lower frequencies when compared with the other two methods.
The aim of the GW4SHM project is to combine for the first time efficient simulation and signal processing tools for SHM and to assess the reliability of the monitoring systems. The project brings together partners from academia and industry and will train a new generation of researchers skilled in all aspects of SHM, enabling them to transform SHM research into practical applications. Focusing on aeronautics, petrochemistry and the automotive sector as initial pilot cases, we will develop SHM-concepts to assess the integrity of structures and create ready-to-use tools for industry and other SHM users. The strong collaboration between mathematicians, physicists and engineers aims to bring the capabilities and applicability of SHM methods to the next level. Our students will acquire multidisciplinary scientific expertise, complementary skills, and experience working in academia and industry. The outcome of the project will pave the way for integrating SHM into real-world engineering structures.