Aug 2026· e-Journal of Nondestructive Testing· Vol 31· 0 citations
Abstract
Structural Health Monitoring (SHM) is increasingly regarded as a key enabling technology for future composite aircraft, not only for maintenance optimization but also for a possible re-interpretation of structural sizing constraints. In civil aviation, SHM is generally associated with condition-based maintenance and reduced downtime. However, its real strategic value may be larger when composite airframes are considered, since certification-driven safety margins are strongly influenced by the limited detectability of barely visible damage and hidden internal flaws. In this work, the aircraft-level value of SHM is revisited with stronger attention to the monitoring rationale, the integration burden, and the system implications of certification-aware structural design. Starting from an A220-like reference aircraft, a multidisciplinary analysis is used to quantify how permanently installed SHM sensors affect operating empty weight, mission fuel, field performance, and direct operating costs. Three configurations are compared by varying sensor density and safety-margin assumptions. The results show that SHM becomes especially attractive when it is not treated only as a maintenance add-on, but as a design enabler capable of partially relaxing conservative composite sizing assumptions. Under the investigated assumptions, a reduced structural safety margin combined with a limited sensor density leads to nearly unchanged aircraft performance together with lower cash operating costs and lower block fuel. The study highlights that the system-level effectiveness of SHM depends on the balance between sensing coverage, installation mass, and the certification credit granted to the monitoring capability.
There is much interest in the potential to use structural health monitoring (SHM) technology to augment traditional nondestructive inspection (NDI) methods to improve safety, increase asset availability, and reduce maintenance and inspection costs. SHM has the potential to be used in many applications, including critic...
Q. Xia, W. Meeker, Dennis Roach et al.· 0 citations
This study concludes that the integration of structural mechanics principles with data-driven AI models—particularly through physics-informed neural networks and edge-deployed lightweight models—represents the most promising direction for next-generation onboard intelligent health monitoring systems.
Yizhe Lyu· Applied and Computational En...· 0 citations
Abstract Structural condition-based maintenance for naval vessels combines onboard monitoring to sense and evaluate the current structural health of a vessel and make projections about the future state, plus a decision framework to determine the optimal moment when maintenance activities should be performed. This paper...
H. Seyffert, I. Drummen, R. Hageman et al.· Data-Centric Engineering· 0 citations
Sensor placement and measurement imperfections are examined jointly for vibration-based structural
health monitoring of an aircraft-wing analog, using a simplified Euler-Bernoulli cantilever-beam model.
Three placement strategies, Uniform, Antinode, and Effective Independence, are compared under a fixed
five-sensor bud...
Çınar Güleç· American Journal of Student...· 0 citations
Structural health monitoring (SHM) is an essential part of disaster prevention and can reduce human deaths and material losses. On the other hand, common SHM systems tend to be limited because of their high cost and difficult installation. In this research, the SHM device is used to measure deflections and bending of t...
Dina Haider, Manaf K. Hussein, Riyadh A. Abbas· Wasit Journal of Engineering...· 0 citations
A growing need in the aviation industry is the development of smart maintenance systems that have the ability to not
only improve aircraft safety but also reduce operating costs and time. Existing inspection technologies are mostly time-based and
do not allow one to find structural defects between maintenance intervals...
R. K. Rajoop, Ishanvi M. H., Jesy Jeff Laura E et al.· International Journal for Re...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.