Advances in Performance Monitoring and Anomaly Detection across Structures and Industrial Processes
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 272
Special Issue Editors
Interests: structural health monitoring; finite element analysis; structural behavior; mechanical design; crashworthiness
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; FRP composite materials; finite element analysis (FEA); crashworthiness; structural behavior
Special Issues, Collections and Topics in MDPI journals
Interests: mechanical properties of composite materials and structures; multifunctional composite materials; structural health monitoring; structural design optimisation; adhesive joining methodology; reversible adhesive; adhesive joints for composite materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the evolving landscape of engineering and industrial applications, the integration of non-destructive evaluation (NDE) methods and structural health monitoring (SHM) systems has become paramount. These methodologies enhance the sustainability and efficiency of monitoring, maintenance, and repair operations for a wide array of structures and industrial processes. This Special Issue aims to showcase the latest advancements in performance monitoring, anomaly detection, and the assessment of structures and processes via innovative NDE and SHM strategies.
You are invited to propose contributions that push the boundaries of current practices in NDE and SHM, offering novel insights into their application across various engineering fields. Submissions may encompass theoretical, analytical, numerical, or experimental investigations, including comprehensive review articles.
The potential topics of this Special Issue include, but are not limited to, the following:
- NDE methods;
- SHM systems;
- Numerical modelling to support the design of NDE methods and SHM systems;
- SHM and NDE practices for maintenance management and repair operations;
- Anomaly diagnosis and prognosis;
- Measurements and processing algorithms for the identification and characterization of anomalies;
- Machine learning algorithms and novel approaches for unknown scenarios prediction and residual life estimation;
- Numerical and experimental investigations of damage detection and classification;
- Novel signal and image processing algorithms for damage diagnosis and prognosis;
- Structural behavior of damaged structure;
- Assessment of load-carrying capacity of pristine and damaged structures;
- Smart methods to enhance the durability of structures;
- Environmental and operational effects on SHM reliability;
- Novel multi-functional sensors for structural health monitoring;
- Structural health monitoring-informed maintenance management.
Dr. Alessandro De Luca
Dr. Donato Perfetto
Dr. Raffaele Ciardiello
Guest Editors
Manuscript Submission Information
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Keywords
- non-destructive evaluation (NDE)
- structural health monitoring (SHM)
- finite element analysis
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