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相关论文: Fast computation of multi-scale combustion systems

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A fully adaptive methodology is developed for reducing the complexity of large dissipative systems. This represents a significant step towards extracting essential physical knowledge from complex systems, by addressing the challenging…

统计力学 · 物理学 2025-10-01 Eliodoro Chiavazzo , Ilya Karlin

In the present work we compare reliability of several most widely used reduced detailed chemical kinetic schemes for hydrogen-air and hydrogen-oxygen combustible mixtures. The validation of the schemes includes detailed analysis of 0D and…

流体动力学 · 物理学 2013-12-13 M. F. Ivanov , A. D. Kiverin , M. A. Liberman , A. E Smygalina

The adoption of detailed mechanisms for chemical kinetics often poses two types of severe challenges: First, the number of degrees of freedom is large; and second, the dynamics is characterized by widely disparate time scales. As a result,…

In this paper, we introduce a fictitious dynamics for describing the only fast relaxation of a stiff ordinary differential equation (ODE) system towards a stable low-dimensional invariant manifold in the phase-space (slow invariant manifold…

统计力学 · 物理学 2025-10-01 Eliodoro Chiavazzo

Model reduction methods are relevant when the computation time of a full convection-diffusion-reaction simulation based on detailed chemical reaction mechanisms is too large. In this article, we review a model reduction approach based on…

计算物理 · 物理学 2014-05-20 Dirk Lebiedz , Jochen Siehr

High-fidelity simulations of mixing and combustion processes are generally computationally demanding and time-consuming, hindering their wide application in industrial design and optimization. The present study proposes parametric reduced…

流体动力学 · 物理学 2023-08-29 Chenxu Ni , Siyu Ding , Xingjian Wang

The use of machine learning algorithms to predict behaviors of complex systems is booming. However, the key to an effective use of machine learning tools in multi-physics problems, including combustion, is to couple them to physical and…

Simulating chemical reaction networks is often computationally demanding, in particular due to stiffness. We propose a novel simulation scheme where long runs are not simulated as a whole but assembled from shorter precomputed segments of…

计算机科学中的逻辑 · 计算机科学 2022-06-22 Martin Helfrich , Milan Češka , Jan Křetínský , Štefan Martiček

Accurate low dimension chemical kinetic models for methane are an essential component in the design of efficient gas turbine combustors. Kinetic models coupled to computational fluid dynamics (CFD) provide quick and efficient ways to test…

化学物理 · 物理学 2022-06-10 Mark Kelly , Gilles Bourque , Stephen Dooley

Recently a new class of Monte Carlo methods, called Time Relaxed Monte Carlo (TRMC), designed for the simulation of the Boltzmann equation close to fluid regimes have been introduced. A generalized Wild sum expansion of the solution is at…

数值分析 · 数学 2010-09-16 L. Pareschi , S. Trazzi , B. Wennberg

In this paper, we present a novel model-agnostic machine learning technique to extract a reduced thermochemical model for reacting hypersonic flows simulation. A first simulation gathers all relevant thermodynamic states and the…

流体动力学 · 物理学 2023-02-20 Clément Scherding , Georgios Rigas , Denis Sipp , Peter J. Schmid , Taraneh Sayadi

Distributed combustion, often associated with the low-oxygen condition, offers ultra-low NOX emission. However, it was recently achieved without combustion air dilution or internal flue gas recirculation, using a distinct approach called…

流体动力学 · 物理学 2022-04-20 Dániel Füzesi , Milan Malý , Jan Jedelský , Viktor Józsa

In global efforts to reduce harmful greenhouse gas emissions from the transport sector, novel bio-hybrid liquid fuels from renewable energy and carbon sources can be a major form of energy for future propulsion systems due to their high…

流体动力学 · 物理学 2021-11-11 A. Deshmukh , T. Grenga , M. Davidovic , L. Schumacher , J. Palmer , M. A. Reddemann , R. Kneer , H. Pitsch

Numerical simulations of a partially-premixed, turbulent jet diffusion flame stabilised in a hot vitiated co-flow are performed. For auto-igniting flames, an accurate prediction of flame stabilisation, which depends on a delicate balance…

流体动力学 · 物理学 2023-01-03 Eshan Sharma

Being able to effectively locate saddle (and other fixed) points in dynamical systems holds tremendous implications in a number of applications in engineering and science, among which the study of rare events in molecular simulations stands…

其他凝聚态物理 · 物理学 2025-02-06 Eliodoro Chiavazzo

Many modern production and measurement facilities incorporate multiphase systems at low pressures. In this region of flows at small, non-zero Knudsen- and low Mach numbers the classical mesoscopic Monte Carlo methods become increasingly…

流体动力学 · 物理学 2015-09-10 S. Schmieschek , D. K. N. Sinz , F. Keller , U. Nieken , J. Harting

A computer simulation has to be fast to be helpful, if it is employed to study the behavior of a multicomponent dynamic system. This paper discusses modeling concepts and algorithmic techniques useful for creating such fast simulations.…

数据结构与算法 · 计算机科学 2007-05-23 Boris D. Lubachevsky

We describe compressible two-phase flows by a single-velocity six-equation flow model, which is composed of the phasic mass and total energy equations, one volume fraction equation, and the mixture momentum equation. The model contains…

流体动力学 · 物理学 2021-08-03 Marica Pelanti

Fuel-flexible, low-carbon combustion systems need to accommodate methane/hydrogen mixtures with air and exhaust-gas dilution. To develop these, we require accurate and efficient correlations for laminar flame speed (LFS). In this work, we…

We are concerned with the simulation and optimization of large-scale gas pipeline systems in an error-controlled environment. The gas flow dynamics is locally approximated by sufficiently accurate physical models taken from a hierarchy of…

最优化与控制 · 数学 2021-11-10 Pia Domschke , Oliver Kolb , Jens Lang
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