Reduced Order Model for Guided Wave Propagation on Gas Pipelines to Enable Real-Time Simulation

Reduced order model for simulation of Guided wave propagation is presented here. The utilization of reduced order models ensures efficient data generation for a variety of parameters where it takes huge computational effort to simulate, crucial for timely monitoring and decision-making. Autoencoder based reduced order models are proposed here, which are trained on simulated data from open-source finite element framework, Firedrake.

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Published
2024-11-12
DOI
https://doi.org/10.2172/2477348
Primary Topic
Gyrotron and Vacuum Electronics Research
Type
article
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article

Reduced Order Model for Guided Wave Propagation on Gas Pipelines to Enable Real-Time Simulation

Ruishu Wright, Pengdi Zhang, Paul Richard Ohodnicki, Sandeep Bukka et al.
Gyrotron and Vacuum Electronics Research
article

Reduced Order Model for Guided Wave Propagation on Gas Pipelines to Enable Real-Time Simulation

Ruishu Wright, Pengdi Zhang, Paul Richard Ohodnicki, Sandeep Bukka, Nageswara R. Lalam
article en

Abstract

Reduced order model for simulation of Guided wave propagation is presented here. The utilization of reduced order models ensures efficient data generation for a variety of parameters where it takes huge computational effort to simulate, crucial for timely monitoring and decision-making. Autoencoder based reduced order models are proposed here, which are trained on simulated data from open-source finite element framework, Firedrake.

University of Pittsburgh (US), National Energy Technology Laboratory (US)
Affordable and clean energy
Openalex Percentile: Top 81%
Gyrotron and Vacuum Electronics Research
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Reduced Order Model for Guided Wave Propagation on Gas Pipelines to Enable Real-Time Simulation — Ruishu Wright, Pengdi Zhang, et al. · (2024) | TGRS Research Map | TGRS