Protection of Ceramic Matrix Composites (CMCs) is rather an important element for the engine manufacturers and aerospace companies to help improve the durability of their hot engine components. The CMC’s are typically porous materials which permits some desirable infiltration that lead to strength enhancements. However, they experience various durability issues such as degradation due to coating oxidation. These concerns are being addressed by introducing a high temperature protective system, Environmental Barrier Coating (EBC) that can operate at temperature applications1, 3 In this paper, linear elastic progressive failure analyses are performed to evaluate conditions that would cause crack initiation in the EBC. The analysis is to determine the overall failure sequence under tensile loading conditions on different layers of material including the EBC and CMC in an attempt to develop a life/failure model. A 3D finite element model of a dogbone specimen is constructed for the analyses. Damage initiation, propagation and final failure is captured using a progressive failure model considering tensile loading conditions at room temperature. It is expected that this study will establish a process for using a computational approach, validated at a specimen level, to predict reliably in the future component level performance without resorting to extensive testing.
The paper proposes the diagnostic and prognostic modeling and test validation of a Wireless Integrated Strain Monitoring and Simulation System (WISMOS). The effort verifies a hardware and web based software tool that is able to evaluate and optimize sensorized aerospace composite structures for the purpose of Structural Health Monitoring (SHM). The tool is an extension of an existing suite of an SHM system, based on a diagnostic-prognostic system (DPS) methodology. The goal of the extended SHM-DPS is to apply multi-scale nonlinear physics-based Progressive Failure analyses to the “as-is” structural configuration to determine residual strength, remaining service life, and future inspection intervals and maintenance procedures. The DPS solution meets the JTI Green Regional Aircraft (GRA) goals towards low weight, durable and reliable commercial aircraft. It will take advantage of the currently developed methodologies within the European Clean sky JTI project WISMOS, with the capability to transmit, store and process strain data from a network of wireless sensors (e.g. strain gages, FBGA) and utilize a DPS-based methodology, based on multi scale progressive failure analysis (MS-PFA), to determine structural health and to advice with respect to condition based inspection and maintenance. As part of the validation of the Diagnostic and prognostic system, Carbon/Epoxy ASTM coupons were fabricated and tested to extract the mechanical properties. Subsequently two composite stiffened panels were manufactured, instrumented and tested under compressive loading: 1) an undamaged stiffened buckling panel; and 2) a damaged stiffened buckling panel including an initial diamond cut. Next numerical Finite element models of the two panels were developed and analyzed under test conditions using Multi-Scale Progressive Failure Analysis (an extension of FEM) to evaluate the damage/fracture evolution process, as well as the identification of contributing failure modes. The comparisons between predictions and test results were within 10% accuracy.
The need for a protecting guard for the popular Ceramic Matrix Composites (CMCs) is getting a lot of attention from engine manufacturers and aerospace companies. This is because the CMC has a weight advantage over standard metallic materials and more performance benefits. They are also commonly porous material and this feature is somewhat beneficial since it allows some desirable infiltration. They further undergo degradation that typically includes coating interface oxidation as opposed to moisture induced matrix which is generally seen at a higher temperature. Variety of factors such as residual stresses, coating process related flaws, and casting conditions may influence the degradation of mechanical properties of CMC. The cause of such defects which cause cracking and other damage is that not much energy is absorbed during fracture of these materials. Therefore, an understanding of the issues that control crack deflection and propagation along interfaces is needed to maximize the energy dissipation capabilities of layered ceramics. These durability considerations are being addressed by introducing highly specialized form of environmental barrier coating (EBC) that is being developed and explored in particular for high temperature applications greater than 1100 °C 1-3. The EBCs are typically a multilayer of coatings and are in the order of hundreds of microns thick. Thus, evaluating components and subcomponents made out of CMCs under gas turbine engine conditions are suggested to demonstrate that these materials will perform as required especially when subjected to extreme temperatures and harsh operating environment. The need exists to use advanced computational methods to assess risk associated with exposure to high temperature of EBC coated CMC specimens. In the work presented here, multiscale progressive failure analysis (PFA) approach was used to evaluate the damage growth in the coating and CMC after exposure time to cyclic and elevated temperatures. In each cycle, the specimen was heated to 1300 °C then maintained at that temperature for a period of time before cooling it down to room temperature. The PFA evaluation was carried out with the GENOA4 software using integrated capability inclusive of: finite element structural analysis, micro-mechanics, damage progression and tracking, fracture mechanics, and life prediction. In this paper, reverse engineered constituent properties obtained from CMC lamina properties were used as input to PFA to evaluate the degradation of specimen strength during thermal cycling. The analysis results indicated that the damage initiated in the top coat of the EBC then propagated down to the bond before reaching the CMC. Life assessment of the CMC was carried out twice, once using micromechanics properties as input and another time using macromechanics properties. It was determined that the use macromechanics properties yielded a more conservative life prediction for the CMC specimen as compared to that obtained from the use of micromechanics with fiber and matrix properties as input. Residual stresses evaluated during cooldown supported the onset of damage in the top coat. All stages of damage evolution were captured with PFA including damage initiation and damage propagation. Details on the life prediction of EBC and CMC materials are discussed next.
The paper proposes the development and verification of a hardware and software tool that will be
able to evaluate and optimize sensorized aerospace structures is proposed. The tool will be
extension of an existing suite of structural health monitoring (SHM) and diagnostic prognostic
system (DPS). The goal of the extended SHM-DPS is to apply multi-scale nonlinear physics-based
finite element analyses to the "as-is" structural configuration to determine residual strength,
remaining service life, and future inspection intervals and procedures. Information from a
distributed system of sensors will be used to determine the "as-is' state of the structure versus the
"as-designed" target. The proposed approach will enable active monitoring of aerospace structural
component performance and realization of DPS-based maintenance. Software enhancements will
incorporate information from a sensor system that is distributed over an aerospace structural
component. In the case of the proposed project, the component will be a stiffened composite
fuselage panel. Two stiffened panels is instrumented with wireless sensors; the second with an
optimized sensor network. It is shown that the sensor system output will be routed and integrated
into a nonlinear multi-scale physics-based finite element analysis (FEA) tool to determine the
panel's residual strength, remaining service life, and future inspection interval. The FEA will
utilize the GENOA progressive failure analysis software suite, which is applicable to metallic and
advanced composites.
This paper addresses the development and real time test validation of an integrated hardware and
software environment that will be able to measure real-time in-situ strain and deformation fields
using a state-of-the-art wireless sensor system to enhance structural durability and damage
tolerance (D&DT), reliability via real-time structural health monitoring (SHM) for sensorized
aerospace structures. The tool will be a vital extension of existing suite of structural health
monitoring (SHM) and diagnostic prognostic system (DPS). The goal of the extended SHM-DPS is
to apply a multi-scale nonlinear physics-based finite element analyses (FEA) to the "as-is"
structural configuration to determine multi-site damage evolution, residual strength, remaining
service life, and future inspection intervals and procedures. Information from a distributed system
of wireless sensors will be used to determine the "as-is" state of the structure versus the
"as-designed" target. The approach enables active monitoring of aerospace structural component
performance and realization of DPS-based conditioned based maintenance. Software enhancements
will incorporate information from a sensor network system that is distributed over an aerospace
structural component. As case study DPS application a realistic composite stiffened panel
representative of fuselage/wing components is selected. Two stiffened panels is manufactured
and instrumented; a) embedded internally between composite layers, and b) surface mounted with
wireless sensors; the second of which with an optimized sensor network. The panels will be tested
in compression following low-velocity impact. The sensor system output will be routed and
integrated with a finite element analysis (FEA) tool to determine the panel's, multi-site damage
locations, and associated failure mechanisms, residual strength, remaining service life, and future
inspection interval. The FEA model utilizes the web/internet based GENOA progressive failure
analysis commercial software suite, durability and damage tolerance (D&DT), and reliability
software capable of evaluating both metallic and advanced composite structural panels under
service loading conditions. The approach utilizes a building block validation strategy, and
real-time structural health monitoring system.
Composite bridges offer many advantages compared to current steel and aluminum
bridges including their lightweight and superior corrosion resistance properties. This
paper presents the results of a comprehensive on-going research program to develop
innovative Diagnostic Prognostic System (DPS) and a structural evaluation of Composite
Army Bridge (CAB) system. The DPS is founded on three technologies, namely; optical
fiber sensing, remote data transmission,, and virtual testing. In developing this system,
both laboratory and virtual test were used in evaluating different potential damage
scenarios. Health monitoring of a composite beam with DPS entailed comparing live strain
data to archived strained data in various bridge locations. For temporary field repairs, a family of composite chords was subjected simple ramp loads in search of ultimate strength. As such, composite bridge specimens showcased their strengths, heralded the viability of virtual testing, highlighted the efficacy of field repair, and confirmed the merits of health monitoring.
KEYWORDS: Sensors, Composites, Metals, Stars, Structural health monitoring, Electronics, Personal digital assistants, Computing systems, Telecommunications, Signal processing
A compact cell phone size radio frequency (ZigBee) wireless strain measurement sensor system to measure the
structural strain deformation was developed. The developed system provides an accurate strain measurement data
stream to the Internet for further Diagnostic and Prognostic (DPS) correlation. Existing methods of structural
measurement by strain sensors (gauges) do not completely satisfy problems posed by continuous structural health
monitoring. The need for efficient health monitoring methods with real-time requirements to bidirectional data flow
from sensors and to a commanding device is becoming critical for keeping our daily life safety. The use of full-field
strain measurement techniques could reduce costly experimental programs through better understanding of material
behavior. Wireless sensor-network technology is a monitoring method that is estimated to grow rapidly providing
potential for cost savings over traditional wired sensors. The many of currently available wireless monitoring methods
have: the proactive and constant data rate character of the data streams rather than traditional reactive, event-driven
data delivery; mostly static node placement on structures with limited number of nodes. Alpha STAR Electronics'
wireless sensor network system, ASWN, addresses some of these deficiencies, making the system easier to operate.
The ASWN strain measurement system utilizes off-the-shelf sensors, namely strain gauges, with an analog-to-digital
converter/amplifier and ZigBee radio chips to keep cost lower. Strain data is captured by the sensor, converted to
digital form and delivered to the ZigBee radio chip, which in turn broadcasts the information using wireless protocols
to a Personal Data Assistant (PDA) or Laptop/Desktop computers. From here, data is forwarded to remote computers
for higher-level analysis and feedback using traditional cellular and satellite communication or the Ethernet
infrastructure. This system offers a compact size, lower cost, and temperature insensitivity for critical structural
applications, which require immediate monitoring and feedback.
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