2010

Monitoring Carbon Composite Structures With Optical Fiber Sensors

Fiber reinforced polymer composites are revolutionizing the design of large, high-performance structures in the aerospace, marine and power generation industries due to their advantages in areas such as corrosion resistance, specific strength and tailorability. The use of carbon fiber reinforced composites, the most common and lightest of the “non-exotic” composite materials, is now very widespread. The maiden flight of The Boeing Company’s new 787 Dreamliner, the first commercial aircraft to use composites for most of its construction in December of 2009, is a stark example of just how far carbon fiber composite materials have come in the last 50 years: from hockey sticks, tennis rackets and R&D labs, to carrying us from here to there at 500+ mph.

altAs modern design moves more towards the use of lighter and stronger materials like carbon composites, it must also move towards smarter materials. The relative inexperience with composite materials compared to their metallic counterparts often necessitates either overdesign of components or more frequent inspections and monitoring. Composite materials present a host of failure modes (cracks, disjoints, delaminations, etc.) that can be nearly catastrophic and very difficult to detect — a very bad combination. Photonics offers an elegant solution to this problem in the form of embedded fiber optic sensors for structural health monitoring (SHM).

altFiber sensors integrated into composites form a very natural technology marriage. First, both are ideal in the lightweight category. Second, and perhaps more important, optical fiber can be integrated directly into the composite material, forming the ideal material/sensor combination for SHM. Because carbon fiber composite failure modes can be both latent and extensive, integration of the sensor into the matrix of the material offers the key to health assessment, maintenance, and management of the integrity of structural composites.

Advantages and Considerations

Fiber sensors have shown promise in integrated health monitoring for many years now. For in-situ monitoring of materials and structures, fiber sensors offer many advantages over more conventional sensors such as electrical strain gages. Among these advantages are intrinsically light weight, very small size (standard optical fiber is about the same size as human hair), immunity to electromagnetic interference and corrosion resistance.

There are many considerations to successfully integrating fiber sensors into composite materials, and this is itself an active area of research. Issues include the manufacturing process to integrate the sensors without compromising the composite matrix, sensor ingress/ egress, and sensor survivability maintenance. Here we focus on an emerging fiber sensing technology that addresses one of the main issues with SHM for composites: ensuring the fiber sensors, once embedded, reliably detect structural issues within the composite matrix well before they become catastrophic failure points.

There are different technical approaches to distributed stress and strain sensing using fiber optics. Optical time domain reflectometry (OTDR) is based on transmitting a pulse of laser light through the fiber and tracking the time at which the reflected signals are detected, thereby distinguishing the spatial location of the sensors. Although this technique works very well over great distances (kilometers), spatial resolution tends to be coarse. With this technique, achieving spatial resolution better than 1m is very challenging.

Distributed sensing techniques that employ fiber Bragg gratings (FBGs) have become a popular choice for integration with composites as they afford much higher resolution than time domain techniques and this translates into much more robust fault detection within the material. The basic idea is that multiple FBGs can be located along the length of an optical fiber, each acting as a discrete strain sensing point or location within the composite once the fiber is integrated into the material. The sensor is then interrogated with a spectrum of input light and the reflected FBG spectrum is measured and translated into strain. The problem with this approach is that one is never guaranteed that a failure in the material will occur close enough to an FBG location to allow for strain transfer and, thus, fault detection.

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