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Gotowe bibliografie tematyczne / Multi-physics processes

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Gotowa bibliografia na temat „Multi-physics processes”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "Multi-physics processes"

1

Cross, M., T. N. Croft, A. K. Slone, et al. "Computational Modelling of Multi-Physics and Multi-Scale Processes in Parallel." International Journal for Computational Methods in Engineering Science and Mechanics 8, no. 2 (2007): 63–74. http://dx.doi.org/10.1080/15502280601149510.

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2

Michel, A., H. Stang, M. Lepech, and M. R. Geiker. "Multi-Physics and Multi-Scale Deterioration Modelling of Reinforced Concrete." Key Engineering Materials 665 (September 2015): 13–16. http://dx.doi.org/10.4028/www.scientific.net/kem.665.13.

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Deterioration of reinforced concrete infrastructure such as bridges, tunnels, and buildings represents one of the major challenges currently facing developed countries. While engineering tools and methods for structural modelling and design of new reinforced concrete infrastructure are mature, methods and tools for modelling decades-long deterioration and maintenance are much less developed. In this paper, a multi-physics and multi-scale modelling approach for structural deterioration of reinforced concrete components due to reinforcement corrosion is presented. The multi-disciplinary modelling approach includes physical, chemical, electrochemical, and fracture mechanical processes at the material and meso-scale, which are further coupled with mechanical deterioration processes at the structural scale.

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3

Cleeman, Jeremy, Kian Agrawala, Evan Nastarowicz, and Rajiv Malhotra. "Partial-physics-informed multi-fidelity modeling of manufacturing processes." Journal of Materials Processing Technology 320 (November 2023): 118125. http://dx.doi.org/10.1016/j.jmatprotec.2023.118125.

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4

Vasenkov, Alex V. "Multi-physics Peridynamic Modeling of Damage Processes in Protective Coatings." Journal of Peridynamics and Nonlocal Modeling 3, no. 2 (2021): 167–83. http://dx.doi.org/10.1007/s42102-020-00046-7.

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5

Tao, W. K., D. Anderson, J. Chern, et al. "The Goddard multi-scale modeling system with unified physics." Annales Geophysicae 27, no. 8 (2009): 3055–64. http://dx.doi.org/10.5194/angeo-27-3055-2009.

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Abstract. Recently, a multi-scale modeling system with unified physics was developed at NASA Goddard. It consists of (1) a cloud-resolving model (CRM), (2) a regional-scale model, the NASA unified Weather Research and Forecasting Model (WRF), and (3) a coupled CRM-GCM (general circulation model, known as the Goddard Multi-scale Modeling Framework or MMF). The same cloud-microphysical processes, long- and short-wave radiative transfer and land-surface processes are applied in all of the models to study explicit cloud-radiation and cloud-surface interactive processes in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator for comparison and validation with NASA high-resolution satellite data. This paper reviews the development and presents some applications of the multi-scale modeling system, including results from using the multi-scale modeling system to study the interactions between clouds, precipitation, and aerosols. In addition, use of the multi-satellite simulator to identify the strengths and weaknesses of the model-simulated precipitation processes will be discussed as well as future model developments and applications.

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6

Amirante, Dario, Vlad Ganine, Nicholas J. Hills, and Paolo Adami. "A Coupling Framework for Multi-Domain Modelling and Multi-Physics Simulations." Entropy 23, no. 6 (2021): 758. http://dx.doi.org/10.3390/e23060758.

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This paper describes a coupling framework for parallel execution of different solvers for multi-physics and multi-domain simulations with an arbitrary number of adjacent zones connected by different physical or overlapping interfaces. The coupling architecture is based on the execution of several instances of the same coupling code and relies on the use of smart edges (i.e., separate processes) dedicated to managing the exchange of information between two adjacent regions. The collection of solvers and coupling sessions forms a flexible and modular system, where the data exchange is handled by independent servers that are dedicated to a single interface connecting two solvers’ sessions. Accuracy and performance of the strategy is considered for turbomachinery applications involving Conjugate Heat Transfer (CHT) analysis and Sliding Plane (SP) interfaces.

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7

Surana, Karan S., Yongting Ma, Albert Romkes, and J. N. Reddy. "Development of Mathematical Models and Computational Framework for Multi-physics Interaction Processes." Mechanics of Advanced Materials and Structures 17, no. 7 (2010): 488–508. http://dx.doi.org/10.1080/15376494.2010.509192.

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8

Samtaney, R., B. van Straalen, P. Colella, and S. C. Jardin. "Adaptive mesh simulations of multi-physics processes during pellet injection in tokamaks." Journal of Physics: Conference Series 78 (July 1, 2007): 012062. http://dx.doi.org/10.1088/1742-6596/78/1/012062.

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9

CROSS, M. "Modelling of industrial multi-physics processes--a key role for computational mechanics." IMA Journal of Management Mathematics 7, no. 1 (1996): 3–21. http://dx.doi.org/10.1093/imaman/7.1.3-a.

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10

Srivastava, Shekhar, Rajiv Kumar Garg, Vishal S. Sharma, et al. "Multi-physics continuum modelling approaches for metal powder additive manufacturing: a review." Rapid Prototyping Journal 26, no. 4 (2020): 737–64. http://dx.doi.org/10.1108/rpj-07-2019-0189.

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Purpose This paper aims to present a systematic approach in the literature survey related to metal additive manufacturing (AM) processes and its multi-physics continuum modelling approach for its better understanding. Design/methodology/approach A systematic review of the literature available in the area of continuum modelling practices adopted for the powder bed fusion (PBF) AM processes for the deposition of powder layer over the substrate along with quantification of residual stress and distortion. Discrete element method (DEM) and finite element method (FEM) approaches have been reviewed for the deposition of powder layer and thermo-mechanical modelling, respectively. Further, thermo-mechanical modelling adopted for the PBF AM process have been discussed in detail with its constituents. Finally, on the basis of prediction through thermo-mechanical models and experimental validation, distortion mitigation/minimisation techniques applied in PBF AM processes have been reviewed to provide a future direction in the field. Findings The findings of this paper are the future directions for the implementation and modification of the continuum modelling approaches applied to PBF AM processes. On the basis of the extensive review in the domain, gaps are recommended for future work for the betterment of modelling approach. Research limitations/implications This paper is limited to review only the modelling approach adopted by the PBF AM processes, i.e. modelling techniques (DEM approach) used for the deposition of powder layer and macro-models at process scale for the prediction of residual stress and distortion in the component. Modelling of microstructure and grain growth has not been included in this paper. Originality/value This paper presents an extensive review of the FEM approach adopted for the prediction of residual stress and distortion in the PBF AM processes which sets the platform for the development of distortion mitigation techniques. An extensive review of distortion mitigation techniques has been presented in the last section of the paper, which has not been reviewed yet.

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