high-rate structural health monitoring and prognostics: an
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High-Rate Structural Health Monitoring and Prognostics: An Overview
J a c o b D o d s o nM u n i t i o n s D i r e c t o r a t e
A i r F o r c e R e s e a r c h L a b o r a t o r y
A u s t i n D o w n e yD e p a r t m e n t o f M e c h a n i c a l E n g i n e e r i n g
U n i v e r s i t y o f S o u t h C a r o l i n a
S i m o n L a f l a m m eD e p a r t m e n t o f C i v i l , C o n s t r u c t i o n , a n d
E n v i r o n m e n t a l E n g i n e e r i n g ,I o w a S t a t e U n i v e r s i t y
M i c h a e l T o d dD e p a r t m e n t o f S t r u c t u r a l E n g i n e e r i n g ,
U n i v e r s i t y o f C a l i f o r n i a , S a n D i e g o
A d r i a n e G . M o u r aE m e r a l d C o a s t D i v i s i o n ,
A p p l i e d R e s e a r c h A s s o c i a t e s
Y a n g W a n gS c h o o l o f C i v i l a n d E n v i r o n m e n t a l
E n g i n e e r i n g , G e o r g i a I n s t i t u t e o f T e c h n o l o g y
Z h u M a o , P e t e r A v i t a b i l eS t r u c t u r a l D y n a m i c s a n d A c o u s t i c
S y s t e m s L a b o r a t o r y ,U n i v e r s i t y o f M a s s a c h u s e t t s L o w e l l
E r i k B l a s c hA i r F o r c e O f f i c e o f S c i e n t i f i c R e s e a r c h
S u b m i s s i o n # 1 0 5 2 3I M A C - X X X I X , F e b r u a r y 1 8 - 2 0 2 0 2 1
V i r t u a l P r e s e n t a t i o n
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Motivation – Air Force
Air Force Weapon Components – Extreme Mechanical Environments
Input Characteristics• Repeated shocks• Multiaxial• Short rise time/high
frequency• Short & Long duration
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Blast against civil structures Automotive impact and crashes
High Speed aircraft and airframes Lightning Strikes on aircraft
Definition – High Rate Dynamics
Hong, J. et.al. Introduction to state estimation of high-rate system dynamics. Sensors, 18(2):217, Jan 2018.
A dynamic response from:
• high-rate ( < 100 ms) and• high-amplitude (acceleration > 100 gn)
event such as a blast or impact.
High-rate dynamics contains:
1. Large uncertainties in the external loads;2. High levels of non-stationarities [in the
structure] and heavy disturbances;3. Unmodeled dynamics from changes in
system configuration.
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Definition – “High Rate” TimescalesThe high-rate structural health monitoring problem has multiple time-scales to address:
Time scales of… Time Scales Examplesduration of the event 30 µs – 100 ms Structural loading - blast, high-speed impact, automotive crashsensor response 3 µs – 10 µs Accelerometer, strain gage, etc.different physical behavior regimes 250 µs – 1 sec Energy propagation, structural resonancealgorithm execution and decision-making
100 µs – 1 ms Damage detection, uncertainty quantification, state awareness, decision making
1. High-Rate – 1 ms2. Very High-Rate – 100 µs3. Ultra High-Rate – 1 µs
We have defined 3 timescale regimes for the time elapsed between event detection and decision-making (i.e. latency):
Current Goal
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Technical Challenges of HR-SHMGoal: Determine the condition of a structural system and make system decisions in less than a millisecond, while the structure sustains unknown/unmeasured, high-magnitude, and short-duration impacts
Lack of System KnowledgeNeed to [partially] understand physics and approximate dynamics for structural awareness
Technical Challenges:Adequate SensingNeed to achieve multiresolution (time, space, and frequency) sensing awareness
High Variability and Uncertainty in LoadingDue to unmodeled dynamics occurring during high-rate dynamics; Need to be able to establish environmental awareness
Limited resources for algorithm implementationNeed to identify algorithms and hardware for 1 ms timescales while maintaining energy awareness
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Technical Objectives and Approaches to enable HR-SHMTo achieve…
Sensing Awareness:• Non-inertial and non-contact sensing methods• Full field sensing algorithms and data fusion, contextual-artificial intelligence approaches
Structural & Environment Awareness:• Physics-enhanced machine learning (PEML) models• Real-time fusion of high-speed dynamic data augmented by model-based data
• Model reduction and model-updating (offline and real-time) approaches• Uncertainty quantification (UQ) methods to enable decisions connected to confidences
Energy Awareness:• Cognitive sensing – configuring sensors and hardware to measure at various timescales
• Combining both hardware and software to enable high-rate executions
System Development• Experimental Validation for high-rate algorithms
• Suite of experimental data sets and apparatus for different aspects of the dynamics
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SummaryThere is a need for High-Rate Structural Health monitoring (HR-SHM), structural prognostics, and real-time decision making for both military and commercial applications.
Technical Objectives Technical Challenges/NeedsSensing Awareness Adequate SensingStructural Awareness System Knowledge UnderstandingEnvironment Awareness High Variability in LoadingEnergy Awareness Limited Resources for Algorithm ImplementationSystem Development Experimental Validation
Risk-based Decision Making High-Rate Uncertainty Quantification
During the Virtual IMAC XXXIX, join the panel discussion on “High-Rate Structural Health Monitoring and Prognostics”
HR-SHM should target 1 ms timescales from event detection to decision-making (current goal)
Summary of Technical Objectives and Needs are:
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High-rate Structural Monitoring, Damage Detection, Prognostics, and Reactions Working Group
Novel Variable Input Observer for High-Rate State EstimationPI: Dr. Simon Laflamme, Iowa State Univ.
Nonlinear Force Identification and Localization for External ForcesPI: Dr. Peter Avitabile, Univ. of Massachusetts at Lowell
Real-time Impact Load Identification for Nonlinear Dynamical SystemsPI: Dr. Yang Wang, Georgia Institute of Technology
Dr. Alain Beliveau Dr. Adriane MouraMr. James Scheppegrell
Prognosis of Damage Using Uncertainty-Quantified Failure Forecast MethodPI: Dr. Michael Todd, Univ. of California, San Diego
Real-Time State Monitoring for Air Force Structures PI: Dr. Austin Downey South Carolina University.
Multiscale SHM using Data-Driven MethodsPI: Dr. Zhu Mao, Univ. of Massachusetts at Lowell.
http://www.me.sc.edu/Research/Downey/high_rate_working_group.html
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