- Postdoctoral Associate
- Cornell University
- Email: hewenxuan_li@uri.edu
- Office Location: Nonlinear Dynamics Laboratory
270 Facitelli Center for Advanced Engineering
GitHub: lhwx1224
LinkedIn: www.linkedin.com/in/hewenxuanli - Website
Research
Research mainly focused on but are not limited to:
- Dynamical Systems’ Approach to Modeling of Damage Mechanisms
- Fatigue Life Estimation under Irregular Loading
- Physics-informed matrix-decomposition-based output-only modal analysis
- Damage identification and tracking in 3D-printed structures
- Data-driven modeling of globally non-stationary nonlinear dynamical systems
- Statistical learning in mechanical/civil engineering applications
Education
University of Rhode Island Kingston, RI, USA, 2016–2022
Ph.D. in Mechanical Engineering and Applied Mechanics
Major Advisor – Dr. David Chelidze
Committee Members – Dr. Arun Shukla and Dr. Gerhard Muller
Beijing Forestry University Beijing, China P. R., 2012–2016
Bachelor of Engineering in Vehicle Engineering
Honors and Scholarships
Best Paper Award (IDETC/CIE, ASME) 2019
Enhancement of Graduate Research Award (URI) 2019
Selected Publications
- Fatigue Life Estimation of Structures under Statistically and Spectrally Similar Variable Amplitude LoadingHewenxuan Li and David Chelidze
Mechanical Systems and Signal Processing (available on ScienceDirect and arXiv), 2021 - Phase Space Warping Identifies Different Damage Mechanisms and Detects Fatigue Phase Transitions in 3D-Printed Polymeric BeamsHewenxuan Li and David Chelidze
Mechanical Systems and Signal Processing (under review), 2021 - Elucidating the Constitutive Relationship of Calcium–silicate–hydrate Gel using High Throughput Reactive Molecular Simulations and Machine LearningGideon Lyngdoh, Hewenxuan Li, Mohd Zaki, N.M. Anoop Krishnan, Sumanta Das.
Scientific Report, 2020. - A Novel Approach for Evaluating Nonstationary Response of Dynamic Systems to Stochastic ExcitationQianying Cao, Sau-Lon James Hu, Hewenxuan Li.
Journal of Ocean University of China, 2020. - Robust Fault Diagnosis of Rolling Bearings using Multivariate Intrinsic Multiscale Entropy Analysis and Neural Network under Varying Operating ConditionsRui Yuan, Yong Lv, Hewenxuan Li, Gangbing Song.
IEEE Access, 2019 - Health Degradation Monitoring and Early Fault Diagnosis of a Rolling Bearing based on CEEMDAN and Improved MMSEYong Lv, Rui Yuan, Tao Wang, Hewenxuan Li, Gangbing Song, Materials, 2018
- Identification and Modeling of a Variable Amplitude Fatigue Experiment Apparatus with Damaged Beam SpecimenHewenxuan Li and David Chelidze. Nonlinear Structures & Systems, Volume 1, 2020
- Fatigue Damage of a Single-Edge Notched Beam Specimen Under Variable Amplitude Loading with Similar Probabilistic and Cycle Counting StatisticsHewenxuan Li and David Chelidze. Nonlinear Structures & Systems, Volume 1, 2020.
- Identification of Variable Amplitude Fatigue Loading based on Bivariate Probability Mass FunctionsHewenxuan Li and David Chelidze. IDETC/CIE 2019.
- Variable Amplitude Fatigue Testing Apparatus and Its Dynamical Characterization
Hewenxuan Li and David Chelidze.
Structural Health Monitoring, Photogrammetry & DIC, Volume 6, 2019 - Longitudinal Synchroextracting Transform: a Useful Tool for Characterizing Signals with Strong Frequency Modulation and Application to Machine Fault DiagnosisLv, S. Lv, R. Yuan, Hewenxun LiMeasurements, 2021
Research Experience
Nonlinear Dynamics Laboratory
Mechanical, Industrial, and Systems Engineering, URI
Advisor: Dr. David Chelidze
As the main project of my Ph.D. study, my work in Nonlinear Dynamics Laboratory focuses on health monitoring and nonlinear vibrations: (1) structure/material-fatigue damage interaction under irregular loading; (2) damage identification and tracking in nonlinear mechanical systems; (3) damage propagation in 3D-printed beam structures and the application of statistical learning on data-driven modeling.
Multiscale & Multiphysics Mechanics of Materials Research Laboratory
Civil and Environmental Engineering, URI Collaborator: Gideon Lyngdoh, Ph.D. candidate Advisor: Dr. Sumanta Das Collaborative work on modeling three constitutive relations of C-S-H gel from molecular dynamics simulations and machine learning. My contribution was to implement customized machine learning algorithms, including General linear models, support vector machines, Gaussian processes, and shallow neural networks.
Dynamic Photomechanics Laboratory
Mechanical, Industrial and Systems Engineering, URI
Collaborator: Birendra Chaudary, Ph.D. candidate Advisor: Dr. Helio Matos
Collaborative work on experimentally characterize the mechanical properties of 3D-printing filament/structures due to ocean environment weathering.
Teaching Experience
My teaching experience covers both analytical and experimental approaches to mechanical engineering undergraduate-level classes. Some highlights regarding my teaching experience include:
- The composition of a Student Guide on finite element analysis using MSC Patran/Nastran/Apex for MCE 301 Mechanical Engineering Design.
- Set up and conduct fault diagnosis experiments on a SpectraQuest Fault Diagnosis Simulator; formulation of a guideline for teaching assistants to conduct the experiments. MATLAB-based program for the imbalance calculation and the result visualization.
- Deliver recitation classes that focus on problem-solving for MCE301 Application of mechanics in design (which includes stress analysis, bold design, engineering fatigue, stress concentration, etc.); similar work was delivered for MCE 263 Dynamics (which covered kinematics and kinetics of particles, kinematics and kinetics of rigid bodies, centrifugal forces, conservation of momentum and energy, etc.)
Talks and Tutorials
Fatigue Damage of a Single-Edge Notched Beam Specimen under Variable Amplitude Loading with Similar Probabilistic and Cycle Counting Statistics
Feb. 2020 Conference Presentation IMAC XXXVIII, Nonlinear Structures and Systems
Identification and Modeling of a Variable Amplitude Fatigue Experiment Apparatus with Damaged Beam Specimen
Feb. 2020 Conference Presentation IMAC XXXVIII, Nonlinear Structures and Systems
Identification of variable amplitude fatigue loading based on bivariate probability mass functions
Aug. 2019 Conference Presentation MSNDC, IDETC/CIE
Variable Amplitude Fatigue Testing Apparatus and its Dynamical Characterization
Aug. 2018 Conference Presentation IMAC XXXVI, Novel Methods in Nonlinear Structures and Systems