Saran Srikanth Bodda

Works (14)

Updated: November 6th, 2024 05:01

2024 article

A comparative study on deep learning models for condition monitoring of advanced reactor piping systems

Sandhu, H. K., Bodda, S. S., Yan, E., Sabharwall, P., & Gupta, A. (2024, March 1). MECHANICAL SYSTEMS AND SIGNAL PROCESSING, Vol. 209.

By: H. Sandhu n, S. Bodda n, E. Yan*, P. Sabharwall * & A. Gupta  n

author keywords: Condition monitoring; Deep learning; Convolutional neural networks; Feature extraction; Nuclear piping; Degradation detection
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Source: Web Of Science
Added: March 4, 2024

2024 article

Evaluation of Fault Tree Analysis Algorithms for Probabilistic Risk Assessment: A Systematic Comparative Study

20TH INTERNATIONAL PROBABILISTIC WORKSHOP, IPW 2024, Vol. 494, pp. 137–146.

By: N. Afshan*, S. Bodda*, A. Gupta* & K. Han* 

author keywords: Fault Tree Analysis; MOCUS Algorithm; ZBDD Algorithm; BDD Algorithm; Probabilistic Risk Assessment
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13. Climate Action (OpenAlex)
Source: Web Of Science
Added: November 4, 2024

2023 review

A Future with Machine Learning: Review of Condition Assessment of Structures and Mechanical Systems in Nuclear Facilities

[Review of ]. ENERGIES, 16(6).

By: H. Sandhu n, S. Bodda n & A. Gupta n

author keywords: condition assessment; artificial intelligence; deep learning; damage detection; signal processing; data management; nuclear piping; concrete; advanced reactors; digital twin
TL;DR: AI can play a greater role in the condition assessment and can be extended to recognize concrete degradation before cracks develop, and data assimilation and storage is another challenging aspect of autonomous control. (via Semantic Scholar)
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Source: Web Of Science
Added: April 17, 2023

2023 journal article

Computationally efficient approach for risk-informed decision making

PROGRESS IN NUCLEAR ENERGY, 167.

By: P. Vaishanav n, S. Bodda n & A. Gupta n

author keywords: PRA; Fault tree analysis; MOCUS; Exact top event probability; Importance measures
Source: Web Of Science
Added: January 8, 2024

2023 journal article

Condition Monitoring of Nuclear Equipment-Piping Systems Subjected to Normal Operating Loads Using Deep Neural Networks

JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 145(4).

By: H. Sandhu n, S. Bodda n, S. Sauers & A. Gupta n

TL;DR: A novel strategic recommendation to the operator can be beneficial in avoiding fatigue in piping systems due to pump-induced vibrations and is proposed for “safe” pump operating speeds, as per ASME design criteria. (via Semantic Scholar)
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Source: Web Of Science
Added: July 19, 2023

2022 journal article

Computer-Vision-Based Vibration Tracking Using a Digital Camera: A Sparse-Optical-Flow-Based Target Tracking Method

SENSORS, 22(18).

By: G. Nie n, S. Bodda n, H. Sandhu n, K. Han n  & A. Gupta n

author keywords: computer vision; acceleration response; target tracking; sparse optical flow
MeSH headings : Algorithms; Computers; Image Processing, Computer-Assisted; Optic Flow; Vibration
TL;DR: The results show that the performance of target tracking is greatly improved through the use of a multi-level strategy and the proposed outlier removal method, and achieves the best accuracy compared to other existing target tracking methods. (via Semantic Scholar)
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Sources: Web Of Science, ORCID
Added: September 14, 2022

2022 article

Digital Engineering for Integrated Modeling and Simulation for Building-Piping Systems Through Interoperability Solutions

Crowder, N., Lee, J., Gupta, A., Han, K., Bodda, S., & Ritter, C. (2022, May 13). NUCLEAR SCIENCE AND ENGINEERING.

By: N. Crowder n, J. Lee n, A. Gupta n, K. Han n , S. Bodda n & C. Ritter *

author keywords: Building information model; interoperability; piping; building-piping interaction; coupled analysis
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Source: Web Of Science
Added: May 23, 2022

2022 journal article

Post-hazard condition assessment of nuclear piping-equipment systems: Novel approach to feature extraction and deep learning

INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 201.

By: H. Sandhu n, S. Bodda n & A. Gupta n

author keywords: Condition assessment; Deep learning; Nuclear piping; Flow-assisted corrosion; erosion; Degradation detection
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Source: Web Of Science
Added: January 23, 2023

2021 article

A Methodological Approach to Update Ground Motion Prediction Models Using Bayesian Inference

Bodda, S. S., Keller, M., Gupta, A., & Senfaute, G. (2021, November 30). PURE AND APPLIED GEOPHYSICS.

By: S. Bodda n, M. Keller*, A. Gupta n & G. Senfaute*

author keywords: GMPE; Bayesian model selection; MCMC; Recalibration; ESM database; PSHA
TL;DR: A methodological approach to recalibrate the coefficients in a GMPE model using different algorithms to perform Bayesian inference is proposed, and a subset of European Strong-Motion database that corresponds to low-to-moderate seismicity records is recalibrated. (via Semantic Scholar)
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Source: Web Of Science
Added: December 6, 2021

2021 journal article

Application of Risk-Informed Validation Framework to a Flooding Scenario

ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART A-CIVIL ENGINEERING, 7(4).

By: S. Bodda n, A. Gupta n & R. Sewell *

TL;DR: The use of advanced simulation tools for modeling the behavior of flooding at a nuclear power plant has gained significant importance and the credibility of advanced simulatio... (via Semantic Scholar)
Source: Web Of Science
Added: November 1, 2021

2021 journal article

Modeling the behavior of reinforced concrete slabs subjected to impact

NUCLEAR ENGINEERING AND DESIGN, 385.

By: P. Patel  n, S. Bodda n & A. Gupta n

author keywords: Impact on concrete slabs; Concrete damage modeling; Strain rate effect; Large strain analysis
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11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Source: Web Of Science
Added: November 23, 2021

2020 journal article

Limitations of traditional tools for beyond design basis external hazard PRA

NUCLEAR ENGINEERING AND DESIGN, 370.

By: P. Vaishanav n, A. Gupta n & S. Bodda n

author keywords: Probabilistic risk assessment; Beyond design basis accidents; Common cause failure; Bayesian network; Event tree; Fault tree; Logic tree; PRA
TL;DR: Two simple and a relatively more complex illustrative examples are used to show the limitation of these assumptions in the numerical quantification of risk for the case of BDB conditions and a Bayesian network based top-down algorithm is proposed as an alternative tool for accurate numerical quantifying of total risk in systems analysis. (via Semantic Scholar)
Source: Web Of Science
Added: January 11, 2021

2019 journal article

Risk informed validation framework for external flooding scenario

NUCLEAR ENGINEERING AND DESIGN, 356.

By: S. Bodda n, A. Gupta n & N. Dinh n 

Contributors: S. Bodda n, A. Gupta n & N. Dinh n 

author keywords: Risk-informed validation; External flooding; PRA; Bayesian inference; Uncertainty quantification
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 13, 2020

2016 conference paper

Fragility of a flood defense structure subjected to multi-hazard scenario

Proceedings of the 24th International Conference on Nuclear Engineering, 2016, vol 4.

By: S. Bodda n, H. Sandhu  n & A. Gupta n

Source: NC State University Libraries
Added: August 6, 2018

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