Work

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

Year: 2024

Type: conference-paper

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.

DOI: 10.2172/2477348

Authors: Sandeep Bukka, Nageswara Lalam, Pengdi Zhang, Ruishu Wright, Paul Ohodnicki

Institutions: National Energy Technology Laboratory, University of Pittsburgh

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4404512149

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