The experimental techniques used to assist the classic characterization protocols are of great support because they allow the assessment of much more information (e.g. energy state of the material, the damage, ...) during a single test.
As an example, thermography, through the analysis of surface thermal footprint, provides an estimation of the energy dissipated during fatigue processes or allows the investigation of the material damage state. Finally, it presents great potential to be exported to out-of-laboratory applications.
To collect the experiences of different researchers within the framework of mechanical characterisation (fatigue and fracture mechanics), structural integrity evaluations (non-destructive testing) that have been involved in the transition from classic to advanced (smart) materials and consider the impacts of using new experimental techniques or data analysis procedures such as artificial intelligence to their characterization is of great importance to adapt the design paradigms implemented on classical materials to advanced materials and verify the maturity of experimental techniques on new generation materials.
The aim of the Research topic is to highlight recent advances in the application of established experimental techniques to new-generation materials.
In particular, the application of artificial intelligence for the analysis of fatigue life and fracture behaviour of innovative materials, and the use of artificial intelligence for the recognition of damage patterns via non-destructive evaluations, are topics of great interest.
Original research articles and reviews in the field of fatigue and fracture mechanical characterization, and non-destructive testing carried out with purely experimental approaches or supported by FE analysis are encouraged. In particular, the application of artificial intelligence for the analysis of fatigue life and fracture behaviour of innovative materials, the use of artificial intelligence and experimental techniques for the recognition of damage patterns are topics of significant interest.
Keywords:
Experimental Techniques; FEA analysis; Non-Destructive Evaluations; Thermography; Acoustic Emissions; Fatigue; Fracture mechanics; Biphasic stainless steels; Advanced Metals; Lattice Structures
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
The experimental techniques used to assist the classic characterization protocols are of great support because they allow the assessment of much more information (e.g. energy state of the material, the damage, ...) during a single test.
As an example, thermography, through the analysis of surface thermal footprint, provides an estimation of the energy dissipated during fatigue processes or allows the investigation of the material damage state. Finally, it presents great potential to be exported to out-of-laboratory applications.
To collect the experiences of different researchers within the framework of mechanical characterisation (fatigue and fracture mechanics), structural integrity evaluations (non-destructive testing) that have been involved in the transition from classic to advanced (smart) materials and consider the impacts of using new experimental techniques or data analysis procedures such as artificial intelligence to their characterization is of great importance to adapt the design paradigms implemented on classical materials to advanced materials and verify the maturity of experimental techniques on new generation materials.
The aim of the Research topic is to highlight recent advances in the application of established experimental techniques to new-generation materials.
In particular, the application of artificial intelligence for the analysis of fatigue life and fracture behaviour of innovative materials, and the use of artificial intelligence for the recognition of damage patterns via non-destructive evaluations, are topics of great interest.
Original research articles and reviews in the field of fatigue and fracture mechanical characterization, and non-destructive testing carried out with purely experimental approaches or supported by FE analysis are encouraged. In particular, the application of artificial intelligence for the analysis of fatigue life and fracture behaviour of innovative materials, the use of artificial intelligence and experimental techniques for the recognition of damage patterns are topics of significant interest.
Keywords:
Experimental Techniques; FEA analysis; Non-Destructive Evaluations; Thermography; Acoustic Emissions; Fatigue; Fracture mechanics; Biphasic stainless steels; Advanced Metals; Lattice Structures
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.