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20142023
most citedNext Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data

151 citations · 537 across the 31 of their papers we have counts for

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18 papers · 1 filter

physics.flu-dyn2023

A high-order diffused-interface approach for two-phase compressible flow simulations using a Discontinuous Galerkin framework

Niccolò Tonicello, Matthias Ihme

A diffused-interface approach based on the Allen-Cahn phase field equation is developed within a high-order Discontinuous Galerkin framework. The interface capturing technique is b…

physics.flu-dyn2022

A High-resolution Large-eddy Simulation Framework for Wildland Fire Predictions using TensorFlow

Qing Wang, Matthias Ihme, Rod R. Linn +6

As the impact of wildfires has become increasingly more severe over the last decades, there is continued pressure for improvements in our ability to predict wildland fire behavior…

physics.flu-dyn2021★ 31 cited

Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion

Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme

Many practical combustion systems such as those in rockets, gas turbines, and internal combustion engines operate under high pressures that surpass the thermodynamic critical limit…

physics.flu-dyn2021

Heat transfer augmentation by recombination reactions in turbulent reacting boundary layers at elevated pressures

Nikolaos Perakis, Oskar Haidn, Matthias Ihme

A study of a reacting boundary layer flow with heat transfer at conditions typical for configurations at elevated pressures has been performed using a set of direct numerical simul…

physics.flu-dyn2020

Requirements Towards Predictive Simulations of Turbulent Reacting Flows

Matthias Ihme

Significant progress has been made on the model development for simulating turbulent reacting flows. As a consequence, we are currently in a position where key-physical aspects of…

physics.flu-dyn2020★ 2 cited

A General Drag Coefficient for Flow over a Sphere

Narendra Singh, Michael Kroells, Chenxi Li +4

A generalized physics-based expression for the drag coefficient of spherical particles moving in a fluid is derived. The proposed correlation incorporates essential rarefied physic…

physics.flu-dyn2020★ 44 cited

Data-assisted combustion simulations with dynamic submodel assignment using random forests

Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis +1

In this investigation, we outline a data-assisted approach that employs random forest classifiers for local and dynamic combustion submodel assignment in turbulent-combustion simul…

physics.flu-dyn2018

Transcritical Mixing and Auto-Ignition of n-dodecane Liquid Fuel using a Diffused Interface Method

Luis Bravo, Peter C. Ma, Matthias Ihme

High-fidelity simulations of transcritical spray mixing and auto ignition in a combustion chamber are performed at high pressure and temperature conditions using a recently develop…

physics.flu-dyn2018★ 1 cited

Computational Modeling and Analysis of Diesel-fuel Injection and Autoignition at Transcritical Conditions

Matthias Ihme, Peter C. Ma, Luis Bravo

The need for improved engine efficiencies has motivated the development of high-pressure combustion systems, in which operating conditions achieve and exceed critical conditions. A…

physics.flu-dyn2018

Lyapunov exponent and Wasserstein metric as validation tools for assessing short-time dynamics and quantitative model evaluation of large-eddy simulation

Hao Wu, Peter C. Ma, Yu Lv +1

In this work, methods for the evaluation of LES-quality and LES-accuracy are presented, which include the Lyapunov exponent for the analysis of short-time predictability of LES-cal…

physics.flu-dyn2017★ 1 cited

Numerical analysis on mixing processes for transcritical real-fluid simulations

Peter C. Ma, Hao Wu, Daniel T. Banuti +1

The accurate and robust simulation of transcritical real-fluid flows is crucial for many engineering applications. Diffused interface methods are frequently employed and several nu…

physics.flu-dyn2017

Direct numerical simulations of turbulent channel flow under transcritical conditions

Peter C. Ma, Xiang I. A. Yang, Matthias Ihme

Turbulent flows under transcritical conditions are present in regenerative cooling systems of rocker engines and extraction processes in chemical engineering. The turbulent flows a…

physics.flu-dyn2017★ 1 cited

Application of Pareto-efficient combustion modeling framework to large eddy simulations of turbulent reacting flows

Hao Wu, Peter C. Ma, Thomas Jaravel +1

In the application of the combustion models based on low-dimensional manifolds (for instance flamelet models) to large-eddy simulation (LES) of reactive turbulent flows, the modeli…

physics.flu-dyn2017★ 80 cited

Compositional inhomogeneities as a source of indirect combustion noise

Luca Magri, Jeff O'Brien, Matthias Ihme

The generation of indirect combustion noise by compositional inhomogeneities is examined theoretically. For this, the compact nozzle theory of~\cite{MARBLE_CANDEL_JSV1977} is exten…

physics.flu-dyn2017★ 2 cited

Numerical methods to prevent pressure oscillations in transcritical flows

Peter C. Ma, Yu Lv, Matthias Ihme

The accurate and robust simulation of transcritical real-fluid effects is crucial for many engineering applications, such as fuel injection in internal combustion engines, rocket e…

physics.flu-dyn2017★ 3 cited

Modeling and Simulation of Diesel Injection at Transcritical Conditions

Peter C. Ma, Matthias Ihme, Luis Bravo

The need for improved engine efficiencies has motivated the development of high-pressure combustion systems, in which operating conditions achieve and exceed critical conditions. A…

physics.flu-dyn2017★ 25 cited

Numerical framework for transcritical real-fluid reacting flow simulations using the flamelet progress variable approach

Peter C. Ma, Daniel T. Banuti, Jean-Pierre Hickey +1

An extension to the classical FPV model is developed for transcritical real-fluid combustion simulations in the context of finite volume, fully compressible, explicit solvers. A do…

physics.flu-dyn2015★ 22 cited

An SMLD joint PDF model for turbulent non-premixed combustion using the flamelet progress-variable approach

Alessandro Coclite, Giuseppe Pascazio, Pietro De Palma +2

This paper provides an improved flamelet/progress variable (FPV) model for the simulation of turbulent combustion, employing the statistically most likely distribution (SMLD) appro…