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).

By: K. Lyathakula n, S. Cesmeci*, M. Demond*, M. Hassan*, H. Xu & J. Tang

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.

By: K. Lyathakula n & F. Yuan n

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
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).

By: S. Cesmeci*, K. Lyathakula n, M. Hassan*, S. Liu, H. Xu & J. Tang

Contributors: K. Lyathakula n

author keywords: elasto-hydrodynamic; EHD; power; Reynolds equation; seal; supercritical; sCO(2)
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.

By: K. Lyathakula n & F. Yuan n

Contributors: K. Lyathakula n & F. Yuan n

UN Sustainable Development Goal Categories
Sources: ORCID, Web Of Science, NC State University Libraries
Added: May 20, 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.

By: S. Dana & K. Lyathakula

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.

By: K. Lyathakula n & F. Yuan n

Contributors: K. Lyathakula 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
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.

By: S. Dana* & K. Lyathakula n

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.

By: K. Lyathakula n & F. Yuan n

Contributors: K. Lyathakula 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
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.

By: K. Lyathakula n & F. Yuan n

Contributors: K. Lyathakula 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
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

By: S. Dana & K. Lyathakula

Contributors: S. Dana & K. Lyathakula

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.

By: Z. Wang*, L. Qian*, Z. Jiang*, X. Xue* & K. Reddy n

Contributors: Z. Wang*, L. Qian*, Z. Jiang*, X. Xue* & K. Reddy n

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.

By: K. Lyathakula* & F. Yuan

Contributors: K. Lyathakula* & F. Yuan

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.

By: Z. Wang, L. Chen, Y. Luo, X. Xue, Z. Jiang & K. Reddy

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.

By: Z. Wang, H. Yin, Z. Jiang, X. Xue, K. Reddy & Y. Li

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.

By: Z. Wang*, X. Xue*, X. Li*, Z. Jiang* & K. Reddy n

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
11. Sustainable Cities and Communities (OpenAlex)
Sources: ORCID, NC State University Libraries, NC State University Libraries
Added: August 6, 2018

journal article

Physics-Informed Deep Learning-Based Modeling of a Novel Elastohydrodynamic Seal for Supercritical CO2 Turbomachinery

Karthik Reddy Lyathakula

Source: ORCID
Added: October 21, 2022

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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