Works (17)
Updated: November 18th, 2023 05:00
2023 journal article
Physics-Informed Deep Learning-Based Proof-of-Concept Study of a Novel Elastohydrodynamic Seal for Supercritical CO<sub>2</sub> Turbomachinery
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 145(12).
author keywords: sCO(2); deep learning; physics-informed neural networks; PINN; alternative energy resources; power (co-) generation; energy conversion/systems; energy systems analysis; seal; sealing; gas leakage
Source: Web Of Science
Added: November 13, 2023
2023 journal article
Scalable and portable computational framework enabling online probabilistic remaining useful life (RUL) estimation
ADVANCES IN ENGINEERING SOFTWARE, 181.
author keywords: Probabilistic remaining useful life estimation; Uncertainty quantification; Bayesian inference; Markov chain Monte Carlo; Sequential Monte Carlo; High performance; Computing; Raspberry Pi cluster
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: May 30, 2023
2022 journal article
Analysis of an Elasto-Hydrodynamic Seal by Using the Reynolds Equation
APPLIED SCIENCES-BASEL, 12(19).
author keywords: elasto-hydrodynamic; EHD; power; Reynolds equation; seal; supercritical; sCO(2)
open access via www.mdpi.com (publisher PDF)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: September 24, 2022
2022 article
Fatigue Damage Diagnostics-Prognostics Framework for Remaining Life Estimation in Adhesive Joints
Lyathakula, K. R., & Yuan, F.-G. (2022, May 10). AIAA JOURNAL, Vol. 5.
Contributors: n & F. Yuan n
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 20, 2022
2022 journal article
Physics-Informed Deep Learning-Based Modeling of a Novel Elastohydrodynamic Seal for Supercritical CO2 Turbomachinery
Source: ORCID
Added: October 21, 2022
2021 article
A framework to quantify uncertainty in critical slip distance in rate and state friction model for earthquakes
Dana, S., & Lyathakula, K. R. (2021, April 22). (Vol. 4). Vol. 4.
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Source: ORCID
Added: May 6, 2021
2021 journal article
A probabilistic fatigue life prediction for adhesively bonded joints via ANNs-based hybrid model
INTERNATIONAL JOURNAL OF FATIGUE, 151.
Contributors: n & F. Yuan n
author keywords: Probabilistic fatigue life estimation; Uncertainty quantification; Bayesian inference; Markov chain Monte Carlo; ANNs
TL;DR:
An efficient and robust probabilistic fatigue life prediction framework for adhesively bonded joints that calibrates the fatigue life model by quantifying uncertainty in the fatigue damage evolution relation using a set of experimental fatigue life data.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 9, 2021
2021 journal article
Arriving at estimates of a rate and state fault friction model parameter using Bayesian inference and Markov chain Monte Carlo
Artificial Intelligence in Geosciences, 2, 171–178.
Source: ORCID
Added: June 24, 2022
2021 article
Fatigue Damage Prognosis of Adhesively Bonded Joints via a Surrogate Model
(D. Zonta, H. Huang, & Z. Su, Eds.). SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2021, Vol. 11591.
Contributors: n & F. Yuan n
Ed(s): D. Zonta, H. Huang & Z. Su
author keywords: Damage prognosis; uncertainty quantification; Bayesian inference; surrogate modeling; ANNs; remaining useful life; matching pursuit algorithm
TL;DR:
A diagnostic-prognostics framework to estimate probabilistic remaining useful life (RUL) in adhesively bonded joints subjected to fatigue loading is demonstrated by calibrating the predictive model using the diagnostics data and quantifying uncertainty in the model parameters.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 8, 2021
2021 article
Probabilistic Fatigue Life Prediction for Adhesively Bonded Joints via Surrogate Model
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2021, Vol. 11591.
Contributors: n & F. Yuan n
author keywords: Uncertainty quantification; Bayesian inference; surrogate model; ANNs; probabilistic fatigue life
TL;DR:
A probabilistic framework for fatigue life prediction in adhesively bonded joints is developed by calibrating the predictive model, governing adhesive fatigue behavior, using the set of experimental data, and quantifying uncertainty in the model parameters.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: November 8, 2021
2021 journal article
Structural Optimization Design for Single Layer Surface Acoustic Wave Interdigital Transducer (SAW-IDT)
Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering. https://publons.com/wos-op/publon/52981410/
Contributors: W. Ziping, F. Yue, Q. Lei, X. Xian & K. Reddy
Source: ORCID
Added: October 21, 2022
2021 article
Uncertainty quantification in friction model for earthquakes using Bayesian inference
ArXiv. http://www.scopus.com/inward/record.url?eid=2-s2.0-85106096956&partnerID=MN8TOARS
Source: ORCID
Added: November 18, 2021
2020 journal article
Vibration effects of standing surface acoustic wave for separating suspended particles in lubricating oil
AIP Advances, 10(4), 045013.
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Source: ORCID
Added: June 9, 2020
2019 conference paper
Demonstration of prognostics health monitoring (PHM) in adhesive lap joints using simulated studies
Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring, 1, 999–1006.
Source: ORCID
Added: November 18, 2021
2019 journal article
Research on Particle Concentration Effect Experiment Based on Microfluidic Chip
Sensor Letters, 17(3), 201–205.
Source: ORCID
Added: June 24, 2022
2018 journal article
A Review of Key Techniques for Online Particle Separation Monitoring
Sensor Letters, 16(4), 259–266.
Source: ORCID
Added: June 24, 2022
2018 journal article
Study on Attenuation Properties of Surface Wave of AE Simulation Source Based on OPCM Sensor Element
Journal of Sensors, 2018.
Contributors: Z. Wang *, X. Xue*, X. Li *, Z. Jiang* & K. Reddy n
TL;DR:
The experiment results show that OPCM sensor elements have unique advantages compared to piezoelectric ceramic materials (PZT) and a new method for measuring the attenuation coefficient of surface waves is demonstrated.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(OpenAlex)
Sources: ORCID, NC State University Libraries, NC State University Libraries
Added: August 6, 2018
Employment
Updated: April 2nd, 2022 12:30
2022 - present
Wartsila Herndon, Virginia, US
Battery Data Scientist
2015 - 2021
NC State University North Carolina Agricultural Research Service Raleigh, NC, US
Research Assistant
Mechanical
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