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-The ability to reliably detect, assess and predict damage in critical aerospace, civil and mechanical structures is key to ensuring their safety and long-term maintainability. +The ability to reliably detect, assess, and predict damage in critical aerospace, civil and mechanical structures is key to ensuring their safety and long-term maintainability. 
  
-Though effective, traditional non-destructive evaluation (NDE) methods involve the use of bulky equipment that makes automation and real-time, on-demand evaluations impossible. Furthermore, the growing prevalence of composite materials such as carbon fiber reinforced polymer (CFRP) in aerospace engineering is driving a shift from the schedule-based monitoring and maintenance methods towards condition-based methods due to the complex failure modes that these composite materials exhibit. +Though effective, traditional non-destructive evaluation (NDE) methods involve the use of bulky equipment that makes automation and real-time, on-demand evaluations impossible. Furthermore, the growing prevalence of composite materials such as carbon fiber-reinforced polymer (CFRP) in aerospace engineering is driving a shift from the schedule-based monitoring and maintenance methods towards condition-based methods due to the complex failure modes that these composite materials exhibit.  
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 +Guided-wave structural health monitoring (SHM) enables the addressing of these challenges by employing networks of piezoelectric-sensors that are embedded within the structure under test. Ideally, the actuation and data acquisition electronics accompanying these embedded sensor networks should have a compact form factor that enables localized data collection and consolidation before communicating with the centralized processing unit that executes higher-level functions. However, despite advances in the sensors, the accompanying electronics have remained relatively bulky thereby greatly limiting the deployment of real-time, on-demand guided wave SHM.
  
-Guided-wave structural health monitoring (SHM) enables the addressing of these challenges by employing networks of piezoelectric-sensors that are embedded within the structure under test. Ideally, the actuation and data acquisition electronics accompanying these embedded sensor networks should have a compact form factor that enables localized data collection and consolidation before communicating with the centralized processing unit that executes higher level functions. However, despite advances in the sensors, the accompanying electronics have remained relatively bulky thereby greatly limiting deployment of real-time, on-demand guided wave SHM. 
  
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-{{ wiki:SHM Flow.JPG?642x225|SHM Process Flow}} \\ +{{wiki:SHM Flow.JPG?​963x338|SHM Process Flow }} \\ 
-{{ wiki:SHM Body Analogy.JPG?459x401Human Body Analogy to SHM}} \\+
  
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