1-4 of 4
Zhanchao Huang
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Automated Identification of Differential-Variational Equations for Static Systems

Chunjiang Li, Zhanchao Huang, Zhilong Huang, Yong Wang, Hanqing Jiang
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. March 2024, 91(3): 031002.
Paper No: JAM-23-1339
https://doi.org/10.1115/1.4063641
Published Online: October 17, 2023
View Articletitled, Automated Identification of Differential-Variational Equations for Static Systems
Open the PDF for Automated Identification of Differential-Variational Equations for Static Systems in another window
Topics: Noise (Sound), Stress, Dimensions, Differential equations, Discrete systems
Includes: Supplementary data
Journal Articles

Data-Driven Stochastic Averaging

Junyin Li, Zhanchao Huang, Yong Wang, Zhilong Huang, Weiqiu Zhu
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. January 2024, 91(1): 011005.
Paper No: JAM-23-1157
https://doi.org/10.1115/1.4063065
Published Online: August 25, 2023
View Articletitled, Data-Driven Stochastic Averaging
Open the PDF for Data-Driven Stochastic Averaging in another window
Topics: Diffusion (Physics), Excitation, White noise, Dynamic systems, Probability
Includes: Supplementary data
Journal Articles

Automatedly Distilling Canonical Equations From Random State Data

Xiaoling Jin, Zhanchao Huang, Yong Wang, Zhilong Huang, Isaac Elishakoff
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. August 2023, 90(8): 081007.
Paper No: JAM-23-1049
https://doi.org/10.1115/1.4062329
Published Online: May 9, 2023
View Articletitled, Automatedly Distilling Canonical Equations From Random State Data
Open the PDF for Automatedly Distilling Canonical Equations From Random State Data in another window
Topics: Momentum, Optimization, Excitation, Dynamic systems
Journal Articles

AI-Timoshenko: Automatedly Discovering Simplified Governing Equations for Applied Mechanics Problems From Simulated Data

Zhanchao Huang, Chunjiang Li, Zhilong Huang, Yong Wang, Hanqing Jiang
Journal: Journal of Applied Mechanics
Publisher: ASME
Article Type: Research Papers
J. Appl. Mech. October 2021, 88(10): 101006.
Paper No: JAM-21-1197
https://doi.org/10.1115/1.4051334
Published Online: June 14, 2021
View Articletitled, AI-Timoshenko: Automatedly Discovering Simplified Governing Equations for Applied Mechanics Problems From Simulated Data
Open the PDF for AI-Timoshenko: Automatedly Discovering Simplified Governing Equations for Applied Mechanics Problems From Simulated Data in another window
Topics: Displacement, Engineering mechanics, Euler-Bernoulli beam theory, Timoshenko beam theory, Vibration, Stress, Excitation, Finite element methods, Deformation