University of Nebraska-Lincoln - Revision history

Keeganmoore at 17:40, 18 September 2023

2023-09-18T17:40:12Z

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Keeganmoore at 17:01, 18 September 2023

2023-09-18T17:01:09Z

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	=== Digital Image Correlation (DIC) ===		=== Digital Image Correlation (DIC) ===
	[[File:~~Cameras&Tripod~~.~~jpeg~~\|thumb\|right\|alt=High-speed digital cameras\|The pair of high-speed digital cameras in MoDAL.]]		[[File:2023_DICCameras.png\|thumb\|right\|alt=High-speed digital cameras\|The pair of high-speed digital cameras in MoDAL.]]
	We have a high-speed 3D DIC system for non-contact measurements for systems where discrete sensors affect the dynamics, can't be used due to geometry, or where full-field data is needed. The cameras can record up to 500,000 frames per second (FPS) at reduced resolution and at 4,000 FPS at a 1-megapixel resolution. We typically film vibrations and dynamic responses around 4k to 10k FPS. We have previously performed measurements on strongly nonlinear vibrating structures and high-speed catastrophic failure (e.g., 3D-printed pressure vessel exploding).		We have a high-speed 3D DIC system for non-contact measurements for systems where discrete sensors affect the dynamics, can't be used due to geometry, or where full-field data is needed. The cameras can record up to 500,000 frames per second (FPS) at reduced resolution and at 4,000 FPS at a 1-megapixel resolution. We typically film vibrations and dynamic responses around 4k to 10k FPS. We have previously performed measurements on strongly nonlinear vibrating structures and high-speed catastrophic failure (e.g., 3D-printed pressure vessel exploding).

Keeganmoore at 16:40, 15 September 2023

2023-09-15T16:40:27Z

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	! scope="col"\| Research		! scope="col"\| Research
	\|-		\|-
	! scope="row"\| Keegan		! scope="row"\| Keegan Moore
	\| Focus on nonlinear dynamics and vibrations, data analytics, data-driven modeling, machine learning, reduced-order modeling, passive redirection of mechanical energy, and others.		\| MoDAL director. Focus on nonlinear dynamics and vibrations, data analytics, data-driven modeling, machine learning, reduced-order modeling, passive redirection of mechanical energy, and others.
	\|-		\|-
	! scope="row"\| Cristian López		! scope="row"\| Cristian López

Keeganmoore at 13:51, 15 September 2023

2023-09-15T13:51:21Z

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	* Eight-channel, ICP sensor signal conditioner (PCB 483C05)		* Eight-channel, ICP sensor signal conditioner (PCB 483C05)
	* Four modally tuned impact hammers of various load ratings (PCB 086E80, 086C03, 086D05, and 086D20)		* Four modally tuned impact hammers of various load ratings (PCB 086E80, 086C03, 086D05, and 086D20)




	== Current Members ==		== Current Members ==
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	\|MS student working on smart, predictive automatic modal impact hammers.		\|MS student working on smart, predictive automatic modal impact hammers.
	\|}		\|}


	[[File:ROM Joint Loosening Summary .jpg\|800px\|center\|Summary of our recent work on reduced-order modeling of joint loosening mechanics.]]		[[File:ROM Joint Loosening Summary .jpg\|800px\|center\|Summary of our recent work on reduced-order modeling of joint loosening mechanics.]]
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	<div style="text-align: center;">Summary of our recent work on reduced-order modeling of joint loosening mechanics. Sponsored by an		<div style="text-align: center;">Summary of our recent work on reduced-order modeling of joint loosening mechanics. Sponsored by an
	[https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237715 NSF CAREER award].</div>		[https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237715 NSF CAREER award].</div>

			== Data-driven Nonlinear Dynamics and Vibrations Course ==
			The lectures from our course titled "Data-driven Nonlinear Dynamics and Vibrations" can be accessed through [https://www.youtube.com/playlist?list=PLW7h3DNOAgFy88IaF5on76YDUoPq2Alaw YouTube].

	== References ==		== References ==
	[[Category:Research Groups]]		[[Category:Research Groups]]

Keeganmoore at 13:29, 15 September 2023

2023-09-15T13:29:55Z

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	We have a high-speed 3D DIC system for non-contact measurements for systems where discrete sensors affect the dynamics, can't be used due to geometry, or where full-field data is needed. The cameras can record up to 500,000 frames per second (FPS) at reduced resolution and at 4,000 FPS at a 1-megapixel resolution. We typically film vibrations and dynamic responses around 4k to 10k FPS. We have previously performed measurements on strongly nonlinear vibrating structures and high-speed catastrophic failure (e.g., 3D-printed pressure vessel exploding).		We have a high-speed 3D DIC system for non-contact measurements for systems where discrete sensors affect the dynamics, can't be used due to geometry, or where full-field data is needed. The cameras can record up to 500,000 frames per second (FPS) at reduced resolution and at 4,000 FPS at a 1-megapixel resolution. We typically film vibrations and dynamic responses around 4k to 10k FPS. We have previously performed measurements on strongly nonlinear vibrating structures and high-speed catastrophic failure (e.g., 3D-printed pressure vessel exploding).

	Equipment List:		====Equipment List ====
	* VIC-3D Digital Image Correlation System (Correlated Solutions)		VIC-3D Digital Image Correlation System (Correlated Solutions):
	** Two Photron AX100 540K-M-32GB (1024 x 1024 @ 4,000 fps) high-speed digital cameras		* Two Photron AX100 540K-M-32GB (1024 x 1024 @ 4,000 fps) high-speed digital cameras
	** Lenses: two Nikon 24mm wide angle manual focus, two Nikon 50mm, and two Tokina 100mm 1:1 macro lenses		* Lenses: two Nikon 24mm wide angle manual focus, two Nikon 50mm, and two Tokina 100mm 1:1 macro lenses
	** One 6000 Lumen High-Speed LED lighting System with Flood Controller		* One 6000 Lumen High-Speed LED lighting System with Flood Controller
	** Workstation with rackmount Quad-core PC, 64GB RAM, Win 10 64 bit, 1TB SSD, 8TB HD, dual 24" LCD monitors		* Workstation with rackmount Quad-core PC, 64GB RAM, Win 10 64 bit, 1TB SSD, 8TB HD, dual 24" LCD monitors
	** One 8-channel USB analog data acquisition system for high-speed measurements with a maximum sampling rate of 1 MS/s (National Instruments NI 6361)		* One 8-channel USB analog data acquisition system for high-speed measurements with a maximum sampling rate of 1 MS/s (National Instruments NI 6361)
	** Accompanying accessories (cases, speckle paint, etc.)		* Accompanying accessories (cases, speckle paint, etc.)
			==== Videos ====
			{{#widget:Youtube
			\|id = bmO4yS2d7rY
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			\| width = 790
			}}

			{{#widget:Youtube
			\|id = EVvM8j_iUys
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	=== Standard Vibration Measurement Equipment ===		=== Standard Vibration Measurement Equipment ===

Keeganmoore at 21:28, 14 September 2023

2023-09-14T21:28:02Z

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	# Advanced signal processing for nonlinear time series data<ref>C. López, D. Wang, Á. Naranjo, K.J. Moore, “Box-Cox-Sparse-Measures-Based Blind Filtering: Understanding the Difference between the Maximum Kurtosis Deconvolution and the Minimum Entropy Deconvolution,” ''Mechanical Systems and Signal Processing'', 165:108376, 2022. [https://dx.doi.org/10.1016/j.ymssp.2021.108376]</ref><ref>C. López, Á. Naranjo, K.J. Moore, “Hidden Markov Model based Stochastic Resonance and Its Application to Bearing Fault Diagnosis,” ''Journal of Sound and Vibration'', 528:116890, 2022. [https://dx.doi.org/10.1016/j.jsv.2022.116890]</ref>.		# Advanced signal processing for nonlinear time series data<ref>C. López, D. Wang, Á. Naranjo, K.J. Moore, “Box-Cox-Sparse-Measures-Based Blind Filtering: Understanding the Difference between the Maximum Kurtosis Deconvolution and the Minimum Entropy Deconvolution,” ''Mechanical Systems and Signal Processing'', 165:108376, 2022. [https://dx.doi.org/10.1016/j.ymssp.2021.108376]</ref><ref>C. López, Á. Naranjo, K.J. Moore, “Hidden Markov Model based Stochastic Resonance and Its Application to Bearing Fault Diagnosis,” ''Journal of Sound and Vibration'', 528:116890, 2022. [https://dx.doi.org/10.1016/j.jsv.2022.116890]</ref>.
	# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).		# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).


	== Equipment ==		== Equipment ==

Keeganmoore at 21:27, 14 September 2023

2023-09-14T21:27:44Z

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	# Reduced-order modeling of nonlinear structures <ref>K.J. Moore, “A Reduced-order Model for Loosening Mechanics of Axial Joints,” ''ASME Journal of Applied Mechanics'', 86(12):121007, 2019. [https://dx.doi.org/10.1115/1.4044813]		# Reduced-order modeling of nonlinear structures <ref>K.J. Moore, “A Reduced-order Model for Loosening Mechanics of Axial Joints,” ''ASME Journal of Applied Mechanics'', 86(12):121007, 2019. [https://dx.doi.org/10.1115/1.4044813]
	</ref><ref>S. Aldana, K.J. Moore, “Dynamic Interactions Between Two Axially Aligned Threaded Joints Undergoing Loosening,” ''Journal of Sound and Vibration'', 520:116625, 2022. [https://dx.doi.org/10.1016/j.jsv.2021.116625]</ref>.		</ref><ref>S. Aldana, K.J. Moore, “Dynamic Interactions Between Two Axially Aligned Threaded Joints Undergoing Loosening,” ''Journal of Sound and Vibration'', 520:116625, 2022. [https://dx.doi.org/10.1016/j.jsv.2021.116625]</ref>.
	# Nonlinear energy flows in mechanical structures.		# Nonlinear energy flows in mechanical structures<ref>C. Wang, G. Yãnez González, C. Wittich, K.J. Moore, “Energy Isolation in a Multi-floor Nonlinear Structure Under Harmonic Excitation,” ''Nonlinear Dynamics'', 110:20492077, 2022. [https://dx.doi.org/10.1007/s11071-022-07744-5]</ref><ref>
	# Novel vibration mitigation strategies employing nonlinearities ~~(papers:~~ <ref>C. Wang, J.D. Brown, A. Singh, K.J. Moore, “A Two-dimensional Nonlinear Vibration Absorber Using Elliptical Impacts and Sliding,” ''Mechanical Systems and Signal Processing'', 189:110068, 2023. [https://dx.doi.org/10.1016/j.ymssp.2022.110068]</ref>.		C. Wang 3, K.J. Moore, “On Nonlinear Energy Flows in Nonlinearly Coupled Oscillators with Equal Mass,” ''Nonlinear Dynamics'', 103:343-366, 2021. [https://dx.doi.org/10.1007/s11071-020-06120-5]</ref><ref>C. Wang, E. Krings, A.T. Allen, E.J. Markvicka, K.J. Moore, “Low-to-High Frequency Targeted Energy Transfer Using a Nonlinear Energy Sink with Softening-hardening Nonlinearity,” ''International Journal of Non-linear Mechanics'', 147:104194, 2022. [https://dx.doi.org/10.1016/j.ijnonlinmec.2022.104194]</ref>.
	# Advanced signal processing for nonlinear time series data.		# Novel vibration mitigation strategies employing nonlinearities<ref>C. Wang, J.D. Brown, A. Singh, K.J. Moore, “A Two-dimensional Nonlinear Vibration Absorber Using Elliptical Impacts and Sliding,” ''Mechanical Systems and Signal Processing'', 189:110068, 2023. [https://dx.doi.org/10.1016/j.ymssp.2022.110068]</ref>.
			# Advanced signal processing for nonlinear time series data<ref>C. López, D. Wang, Á. Naranjo, K.J. Moore, “Box-Cox-Sparse-Measures-Based Blind Filtering: Understanding the Difference between the Maximum Kurtosis Deconvolution and the Minimum Entropy Deconvolution,” ''Mechanical Systems and Signal Processing'', 165:108376, 2022. [https://dx.doi.org/10.1016/j.ymssp.2021.108376]</ref><ref>C. López, Á. Naranjo, K.J. Moore, “Hidden Markov Model based Stochastic Resonance and Its Application to Bearing Fault Diagnosis,” ''Journal of Sound and Vibration'', 528:116890, 2022. [https://dx.doi.org/10.1016/j.jsv.2022.116890]</ref>.
	# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).		# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).

Keeganmoore at 17:23, 14 September 2023

2023-09-14T17:23:23Z

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	=== Active Research Directions===		=== Active Research Directions===
	Active areas of research include:		Active areas of research include:
	# Physics-based, data-driven modeling and discovery of governing equations directly from measurements<ref>K.J. Moore, “Characteristic Nonlinear System Identification: A Data-driven Approach for Local Nonlinear Attachments,” Mechanical Systems and Signal Processing, 131:335347, 2019. [https://dx.doi.org/10.1016/j.ymssp.2019.05.066]</ref><ref>A. Singh, K.J. Moore, “Characteristic Nonlinear System Identification of Clearance Nonlinearities in Local Attachments,” Nonlinear Dynamics, 102:1667-1684, 2020. [https://dx.doi.org/10.1007/s11071-020-06004-8] </ref><ref>A. Singh, K.J. Moore, “Identification of Multiple Local Nonlinear Attachments Using a Single Measurement,” Journal of Sound and Vibration, 513:116410, 2021. [https://dx.doi.org/10.1016/j.jsv.2021.116410]</ref>.		# Physics-based, data-driven modeling and discovery of governing equations directly from measurements<ref>K.J. Moore, “Characteristic Nonlinear System Identification: A Data-driven Approach for Local Nonlinear Attachments,” ''Mechanical Systems and Signal Processing'', 131:335347, 2019. [https://dx.doi.org/10.1016/j.ymssp.2019.05.066]</ref><ref>A. Singh, K.J. Moore, “Characteristic Nonlinear System Identification of Clearance Nonlinearities in Local Attachments,” ''Nonlinear Dynamics'', 102:1667-1684, 2020. [https://dx.doi.org/10.1007/s11071-020-06004-8] </ref><ref>A. Singh, K.J. Moore, “Identification of Multiple Local Nonlinear Attachments Using a Single Measurement,” ''Journal of Sound and Vibration'', 513:116410, 2021. [https://dx.doi.org/10.1016/j.jsv.2021.116410]</ref>.
			# AI-based automated testing of mechanical structures<ref>A. Singh, K.J. Moore, “An Open-source, Scalable, Low-cost Automatic Modal Hammer for Studying Nonlinear Dynamical Systems,” ''Experimental Techniques'', 46:775-792, 2022. [https://dx.doi.org/10.1007/s40799-021-00516-7]</ref>.
			# Reduced-order modeling of nonlinear structures <ref>K.J. Moore, “A Reduced-order Model for Loosening Mechanics of Axial Joints,” ''ASME Journal of Applied Mechanics'', 86(12):121007, 2019. [https://dx.doi.org/10.1115/1.4044813]
			</ref><ref>S. Aldana, K.J. Moore, “Dynamic Interactions Between Two Axially Aligned Threaded Joints Undergoing Loosening,” ''Journal of Sound and Vibration'', 520:116625, 2022. [https://dx.doi.org/10.1016/j.jsv.2021.116625]</ref>.
			# Nonlinear energy flows in mechanical structures.
			# Novel vibration mitigation strategies employing nonlinearities (papers: <ref>C. Wang, J.D. Brown, A. Singh, K.J. Moore, “A Two-dimensional Nonlinear Vibration Absorber Using Elliptical Impacts and Sliding,” ''Mechanical Systems and Signal Processing'', 189:110068, 2023. [https://dx.doi.org/10.1016/j.ymssp.2022.110068]</ref>.
			# Advanced signal processing for nonlinear time series data.
			# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).

	~~# AI-based automated testing of mechanical structures (recent papers: [https://dx.doi.org/10.1007/s40799-021-00516-7 1]) .~~
	~~# Reduced-order modeling of nonlinear structures (recent papers:).~~
	~~# Nonlinear energy flows in mechanical structures (recent papers: ).~~
	# Novel vibration mitigation strategies employing nonlinearities (papers: <ref>C. Wang, J.D. Brown, A. Singh, K.J. Moore, “A Two-dimensional Nonlinear Vibration Absorber Using Elliptical Impacts and Sliding,” Mechanical Systems and Signal Processing, 189:110068, 2023. [https://dx.doi.org/10.1016/j.ymssp.2022.110068]</ref>).
	~~# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).~~

	== Equipment ==		== Equipment ==

Keeganmoore at 17:14, 14 September 2023

2023-09-14T17:14:28Z

← Older revision		Revision as of 13:14, 14 September 2023
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	=== Active Research Directions===		=== Active Research Directions===
	Active areas of research include:		Active areas of research include:
	# Physics-based, data-driven modeling and discovery of governing equations directly from measurements.		# Physics-based, data-driven modeling and discovery of governing equations directly from measurements<ref>K.J. Moore, “Characteristic Nonlinear System Identification: A Data-driven Approach for Local Nonlinear Attachments,” Mechanical Systems and Signal Processing, 131:335347, 2019. [https://dx.doi.org/10.1016/j.ymssp.2019.05.066]</ref><ref>A. Singh, K.J. Moore, “Characteristic Nonlinear System Identification of Clearance Nonlinearities in Local Attachments,” Nonlinear Dynamics, 102:1667-1684, 2020. [https://dx.doi.org/10.1007/s11071-020-06004-8] </ref><ref>A. Singh, K.J. Moore, “Identification of Multiple Local Nonlinear Attachments Using a Single Measurement,” Journal of Sound and Vibration, 513:116410, 2021. [https://dx.doi.org/10.1016/j.jsv.2021.116410]</ref>.
	# AI-based automated testing of mechanical structures.
	# Reduced-order modeling of nonlinear structures (~~e.g., reduced-order modeling of bolt loosening~~).		# AI-based automated testing of mechanical structures (recent papers: [https://dx.doi.org/10.1007/s40799-021-00516-7 1]) .
	# Nonlinear energy flows in mechanical structures.		# Reduced-order modeling of nonlinear structures (recent papers:).
	# Novel vibration mitigation strategies employing nonlinearities.		# Nonlinear energy flows in mechanical structures (recent papers: ).
			# Novel vibration mitigation strategies employing nonlinearities (papers: <ref>C. Wang, J.D. Brown, A. Singh, K.J. Moore, “A Two-dimensional Nonlinear Vibration Absorber Using Elliptical Impacts and Sliding,” Mechanical Systems and Signal Processing, 189:110068, 2023. [https://dx.doi.org/10.1016/j.ymssp.2022.110068]</ref>).
	# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).		# Applications of nonlinear dynamics and vibrations to novel fields (e.g., wave-induced vibrations of ships).

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	<div style="text-align: center;">Summary of our recent work on reduced-order modeling of joint loosening mechanics. Sponsored by an		<div style="text-align: center;">Summary of our recent work on reduced-order modeling of joint loosening mechanics. Sponsored by an
	[https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237715 NSF CAREER award].</div>		[https://www.nsf.gov/awardsearch/showAward?AWD_ID=2237715 NSF CAREER award].</div>
			== References ==
	[[Category:Research Groups]]		[[Category:Research Groups]]

Keeganmoore at 16:56, 14 September 2023

2023-09-14T16:56:10Z

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	== Research Area ==		== Research Area ==
			=== Vision ===
	The [https://engineering.unl.edu/MoDAL/ Moore Dynamics and Analytics Laboratory (MoDAL)] synergistically combines theory, mathematical and computational modeling, and experimentation to understand and exploit strongly nonlinear dynamical phenomena. Our vision is to place nonlinear dynamics in the toolbox of every vibration engineer. Our approach is to leverage data, machine learning, and autonomy to remove barriers for utilizing and understanding nonlinearity.		The [https://engineering.unl.edu/MoDAL/ Moore Dynamics and Analytics Laboratory (MoDAL)] synergistically combines theory, mathematical and computational modeling, and experimentation to understand and exploit strongly nonlinear dynamical phenomena. Our vision is to place nonlinear dynamics in the toolbox of every vibration engineer. Our approach is to leverage data, machine learning, and autonomy to remove barriers for utilizing and understanding nonlinearity.