high-rate structural health monitoring and prognostics: an

10
1 Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019) High-Rate Structural Health Monitoring and Prognostics: An Overview Jacob Dodson Munitions Directorate Air Force Research Laboratory Austin Downey Department of Mechanical Engineering University of South Carolina Simon Laflamme Department of Civil, Construction, and Environmental Engineering, Iowa State University Michael Todd Department of Structural Engineering, University of California, San Diego Adriane G. Moura Emerald Coast Division, Applied Research Associates Yang Wang School of Civil and Environmental Engineering, Georgia Institute of Technology Zhu Mao, Peter Avitabile Structural Dynamics and Acoustic Systems Laboratory, University of Massachusetts Lowell Erik Blasch Air Force Office of Scientific Research Submission #10523 IMAC-XXXIX, February 18-20 2021 Virtual Presentation

Upload: others

Post on 17-Feb-2022

1 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: High-Rate Structural Health Monitoring and Prognostics: An

1Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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

Page 2: High-Rate Structural Health Monitoring and Prognostics: An

2Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

Motivation – Air Force

Air Force Weapon Components – Extreme Mechanical Environments

Input Characteristics• Repeated shocks• Multiaxial• Short rise time/high

frequency• Short & Long duration

Page 3: High-Rate Structural Health Monitoring and Prognostics: An

3Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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.

Page 4: High-Rate Structural Health Monitoring and Prognostics: An

4Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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

Page 5: High-Rate Structural Health Monitoring and Prognostics: An

5Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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

Page 6: High-Rate Structural Health Monitoring and Prognostics: An

6Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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

Page 7: High-Rate Structural Health Monitoring and Prognostics: An

7Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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:

Page 8: High-Rate Structural Health Monitoring and Prognostics: An

8Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

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

Page 9: High-Rate Structural Health Monitoring and Prognostics: An

Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019) . 9

Page 10: High-Rate Structural Health Monitoring and Prognostics: An

10Distribution A. Approved for public release; distribution unlimited. (96TW-2021-0019)

Research Opportunities at AFRL/RWAFRL ScholarUndergraduate/Graduate Students• Summer Internship Program• 8-10 weekshttps://afrlscholars.usra.edu/students

SMART Scholarship for ServiceUndergraduate/Graduate Students

• DoD sponsored scholarship (1-5 years)

• Summer Internships at Gov. Research facility

• Employment Obligation afterward

https://www.smartscholarship.org/smart

AF S&T Fellowship Post-DocRecently finished Ph.D.• Work onsite at DoD Research Labs w/ government

advisor• 1-2 YearsStructural Dynamics and Instrumentation of Electronic Systemshttp://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=13&ROPCD=134502&RONum=C0147

Summer Faculty Fellowship ProgramProfessors• AFRL/AFOSR Sponsored• Work with hosting research lab • On site for 8-10 weekshttps://afsffp.sysplus.com/