標(biāo)題: Titlebook: Data Analysis for Direct Numerical Simulations of Turbulent Combustion; From Equation-Based Heinz Pitsch,Antonio Attili Book 2020 Springer [打印本頁(yè)] 作者: 筆記 時(shí)間: 2025-3-21 17:38
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion影響因子(影響力)
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion影響因子(影響力)學(xué)科排名
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion被引頻次
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion被引頻次學(xué)科排名
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion年度引用
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion年度引用學(xué)科排名
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion讀者反饋
書(shū)目名稱Data Analysis for Direct Numerical Simulations of Turbulent Combustion讀者反饋學(xué)科排名
作者: Memorial 時(shí)間: 2025-3-22 00:11 作者: 帶傷害 時(shí)間: 2025-3-22 04:16 作者: 1FAWN 時(shí)間: 2025-3-22 07:39 作者: 懶鬼才會(huì)衰弱 時(shí)間: 2025-3-22 11:01
Higher Order Tensors for DNS Data Analysis and Compression,bulent combustion DNS data, being inherently multiscale and multivariate, pose many challenges and higher order tensors are a natural abstraction to organise, probe and analyse them. The chapter gives a high-level overview of prominent tensor decomposition methods, their interpretation, algorithmic 作者: Notify 時(shí)間: 2025-3-22 14:26 作者: Notify 時(shí)間: 2025-3-22 19:39 作者: ANN 時(shí)間: 2025-3-22 23:34 作者: 鐵塔等 時(shí)間: 2025-3-23 02:44 作者: 領(lǐng)巾 時(shí)間: 2025-3-23 08:43
From Discrete and Iterative Deconvolution Operators to Machine Learning for Premixed Turbulent Combng strategies appear which are based on a direct treatment of the now well resolved, but still not fully resolved scalar signals. Along this line, deconvolution or inverse filtering, either based on discrete or iterative operators, is first discussed. Recent results obtained from a direct numerical 作者: 古老 時(shí)間: 2025-3-23 10:34 作者: Basal-Ganglia 時(shí)間: 2025-3-23 16:12 作者: HARP 時(shí)間: 2025-3-23 19:47 作者: debble 時(shí)間: 2025-3-23 22:55 作者: affect 時(shí)間: 2025-3-24 05:37 作者: Axillary 時(shí)間: 2025-3-24 08:06 作者: 浮夸 時(shí)間: 2025-3-24 11:40
http://image.papertrans.cn/d/image/262658.jpg作者: Blemish 時(shí)間: 2025-3-24 18:42
Molecular dissection of the , chromosomegation. A mathematical framework based on Morse theory is presented and is shown to lead to a classification of all possible types of flame surface topology. A similar mathematical approach is shown to provide insight into the behaviour of the surface density function (SDF) and the displacement spee作者: 受辱 時(shí)間: 2025-3-24 20:42
Retroviruses with two oncogenes turbulent scales. Furthermore, dissipation elements enable a variety of additional ways of investigating non-local effects in reacting and non-reacting turbulent flows. After the underlying physical ideas of dissipation elements are explained and a parameterization of dissipation elements is define作者: 記憶 時(shí)間: 2025-3-25 00:35 作者: Lyme-disease 時(shí)間: 2025-3-25 07:11 作者: Hamper 時(shí)間: 2025-3-25 08:47
https://doi.org/10.1007/978-94-011-1510-0bulent combustion DNS data, being inherently multiscale and multivariate, pose many challenges and higher order tensors are a natural abstraction to organise, probe and analyse them. The chapter gives a high-level overview of prominent tensor decomposition methods, their interpretation, algorithmic 作者: BACLE 時(shí)間: 2025-3-25 14:36
A. R. Leitch,J. S. Heslop-Harrisongonal Decomposition (POD) produces optimal representations of the dynamics in the sense of the energy norm. Alternatively, Dynamic Mode Decomposition (DMD) efficiently extracts coherent dynamics based on eigendecompositions of linearized dynamics. An extension to the latter, the Higher Order Dynamic作者: 痛苦一下 時(shí)間: 2025-3-25 18:50
D. Hernandez-Verdun,P. Roussel,T. Gautier rates, allowing for the investigation of unsteady and dynamic phenomena unlike conventional statistical analyses. The decomposition can be applied for the analysis of data having a broad range of temporal and spatial scales since it identifies structures that characterize the physical phenomena ind作者: STENT 時(shí)間: 2025-3-25 21:23 作者: 遺棄 時(shí)間: 2025-3-26 02:45 作者: MEET 時(shí)間: 2025-3-26 07:31
https://doi.org/10.1007/978-3-0348-8484-6ng strategies appear which are based on a direct treatment of the now well resolved, but still not fully resolved scalar signals. Along this line, deconvolution or inverse filtering, either based on discrete or iterative operators, is first discussed. Recent results obtained from a direct numerical 作者: 使習(xí)慣于 時(shí)間: 2025-3-26 09:09 作者: kindred 時(shí)間: 2025-3-26 13:04 作者: 提名 時(shí)間: 2025-3-26 19:31
Bruce D. McKee,Chia-sin Hong,Siuk Yoonecessary for large eddy simulation (LES). The source data for the model is a direct numerical simulation (DNS) of a reacting flow in a low swirl burner configuration. Filtered quantities taken from the DNS data are used to train a deep neural network (DNN)-based model. An efficient data sampling st作者: 不如樂(lè)死去 時(shí)間: 2025-3-26 22:58 作者: 充氣女 時(shí)間: 2025-3-27 05:02 作者: 懶惰民族 時(shí)間: 2025-3-27 09:04
aduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics,applied mathematics, and the environmental and atmospheric sciences..978-3-030-44720-5978-3-030-44718-2作者: Anticonvulsants 時(shí)間: 2025-3-27 12:54 作者: dapper 時(shí)間: 2025-3-27 14:55 作者: 表皮 時(shí)間: 2025-3-27 19:23
Ribosomal genes and nucleolar morphologyd their combinations (e.g., progress variable and mixture fraction) have been widely employed in previous studies. However, the use of such scalars typically requires semi-empirical criteria that need to be adjusted for different flame types and conditions, rendering them difficult to be automated f作者: NOCT 時(shí)間: 2025-3-27 22:46 作者: Biomarker 時(shí)間: 2025-3-28 03:32
https://doi.org/10.1007/978-94-011-1510-0 an estimate of the time horizon within which the occurrence of ignition kernels and deflagrative modes, which are considered here as rare and transient events, can be accurately predicted. The accurate detection of ignition kernels and their evolution towards deflagrative structures are well captur作者: Autobiography 時(shí)間: 2025-3-28 08:33 作者: aggressor 時(shí)間: 2025-3-28 10:25
Bruce D. McKee,Chia-sin Hong,Siuk Yooing physical phenomena, and lead to the formulation of high-fidelity models. This chapter aims to offer to the reader a comprehensive introduction of the PCA potential for data analysis, firstly introducing the main theoretical concepts, and then going through all the required computational steps by作者: 出血 時(shí)間: 2025-3-28 15:22
Dissipation Element Analysis of Inert and Reacting Turbulent Flows,. The additional benefit of using the dissipation element analysis in free shear flows is highlighted by using it as an alternative way of identifying turbulent core regions. Next, a dissipation element-based procedure for the local investigation of the turbulence–combustion interaction in the conte作者: 馬具 時(shí)間: 2025-3-28 19:38
Chemical Explosive Mode Analysis for Diagnostics of Direct Numerical Simulations,d their combinations (e.g., progress variable and mixture fraction) have been widely employed in previous studies. However, the use of such scalars typically requires semi-empirical criteria that need to be adjusted for different flame types and conditions, rendering them difficult to be automated f作者: 一再困擾 時(shí)間: 2025-3-29 00:30 作者: shrill 時(shí)間: 2025-3-29 04:25
Physics-Informed Data-Driven Prediction of Turbulent Reacting Flows with Lyapunov Analysis and Sequ an estimate of the time horizon within which the occurrence of ignition kernels and deflagrative modes, which are considered here as rare and transient events, can be accurately predicted. The accurate detection of ignition kernels and their evolution towards deflagrative structures are well captur作者: aggrieve 時(shí)間: 2025-3-29 07:53
Data-Based Modeling for the Crank Angle Resolved CI Combustion Process,es the HRR of a single fuel package as a Vibe function and identifies the parameters by solving a nonlinear program having the squared difference between the measured HRR and the superposition as cost. The second algorithm approximates the individual packages’ HRRs as Gaussian distributions and esti作者: Vaginismus 時(shí)間: 2025-3-29 11:47
Analysis of Turbulent Reacting Jets via Principal Component Analysis,ing physical phenomena, and lead to the formulation of high-fidelity models. This chapter aims to offer to the reader a comprehensive introduction of the PCA potential for data analysis, firstly introducing the main theoretical concepts, and then going through all the required computational steps by作者: Rct393 時(shí)間: 2025-3-29 17:06
Data Analysis for Direct Numerical Simulations of Turbulent CombustionFrom Equation-Based 作者: ablate 時(shí)間: 2025-3-29 22:13
Data Analysis for Direct Numerical Simulations of Turbulent Combustion978-3-030-44718-2作者: Peculate 時(shí)間: 2025-3-30 00:09 作者: pantomime 時(shí)間: 2025-3-30 05:39
D. Hernandez-Verdun,P. Roussel,T. Gautiere-dimensional Direct Numerical Simulation of spatially evolving turbulent planar premixed hydrogen/air jet flames at varying Karlovitz number. The focus of this investigation is the identification of the most important modes and frequencies for the physical phenomena, specifically heat release and turbulence, governing the flow field evolution.作者: macabre 時(shí)間: 2025-3-30 08:13
https://doi.org/10.1007/978-3-0348-8484-6plains the methodology, reviews recent work in the field and focuses on the robustness of the method and the scope for future efficiency improvements, by applying it to the modelling of the unclosed stress tensor in turbulent premixed statistically planar flames.作者: Limousine 時(shí)間: 2025-3-30 12:37 作者: Admire 時(shí)間: 2025-3-30 19:01
Dynamic Mode Decomposition: A Tool to Extract Structures Hidden in Massive Datasets,e-dimensional Direct Numerical Simulation of spatially evolving turbulent planar premixed hydrogen/air jet flames at varying Karlovitz number. The focus of this investigation is the identification of the most important modes and frequencies for the physical phenomena, specifically heat release and turbulence, governing the flow field evolution.作者: 南極 時(shí)間: 2025-3-30 21:52 作者: Console 時(shí)間: 2025-3-31 03:34
Machine Learning of Combustion LES Models from Reacting Direct Numerical Simulation,aset. A-priori testing of the DNN-based model highlights the representative power of DNN to accurately reproduce the filtered reaction progress variable source term over a range of scales and various flame regimes as seen in an industrial burner.作者: 許可 時(shí)間: 2025-3-31 05:21
