Academic literature on the topic 'ROM (Reduced-Order Model)'

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Journal articles on the topic "ROM (Reduced-Order Model)"

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Xie, Xuping, Feng Bao, and Clayton Webster. "Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation." Fluids 3, no. 4 (2018): 84. http://dx.doi.org/10.3390/fluids3040084.

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In this paper, we introduce the evolve-then-filter (EF) regularization method for reduced order modeling of convection-dominated stochastic systems. The standard Galerkin projection reduced order model (G-ROM) yield numerical oscillations in a convection-dominated regime. The evolve-then-filter reduced order model (EF-ROM) aims at the numerical stabilization of the standard G-ROM, which uses explicit ROM spatial filter to regularize various terms in the reduced order model (ROM). Our numerical results are based on a stochastic Burgers equation with linear multiplicative noise. The numerical re
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Menier, Emmanuel, Michele Alessandro Bucci, Mouadh Yagoubi, Lionel Mathelin, and Marc Schoenauer. "CD-ROM: Complemented Deep - Reduced order model." Computer Methods in Applied Mechanics and Engineering 410 (May 2023): 115985. http://dx.doi.org/10.1016/j.cma.2023.115985.

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Bai, Feng, and Yi Wang. "Reduced-Order Modeling Based on Hybrid Snapshot Simulation." International Journal of Computational Methods 18, no. 01 (2020): 2050029. http://dx.doi.org/10.1142/s0219876220500292.

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This paper presents a hybrid snapshot simulation methodology to accelerate the generation of high-quality data for proper orthogonal decomposition (POD) and reduced-order model (ROM) development. The entire span of the snapshot simulation is divided into multiple intervals, each simulated by either high-fidelity full-order model (FOM) or fast local ROM. The simulation then alternates between FOM and local ROM to accelerate snapshot data generation while maintaining the data fidelity and representation. Model switch is determined on-the-fly by evaluating several criteria that monitor the domina
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Le Guennec, Yves, and Simon Morville. "A reduced order model to assist welding parameter setup." Mechanics & Industry 25 (2024): 3. http://dx.doi.org/10.1051/meca/2023045.

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This article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not suited with multi-query study such as inverse problem. ROM aims at replacing the original simulation (so-called high-fidelity (HF)) by a low rank model that will run fast according to the HF simulation time. Multi-query studies will use the ROM instead of the HF simulation to save time and deliver a solution consistent with industrial timeline. To v
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Xie, Xuping, Peter J. Nolan, Shane D. Ross , Changhong Mou , and Traian Iliescu. "Lagrangian Reduced Order Modeling Using Finite Time Lyapunov Exponents." Fluids 5, no. 4 (2020): 189. http://dx.doi.org/10.3390/fluids5040189.

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There are two main strategies for improving the projection-based reduced order model (ROM) accuracy—(i) improving the ROM, that is, adding new terms to the standard ROM; and (ii) improving the ROM basis, that is, constructing ROM bases that yield more accurate ROMs. In this paper, we use the latter. We propose two new Lagrangian inner products that we use together with Eulerian and Lagrangian data to construct two new Lagrangian ROMs, which we denote α-ROM and λ-ROM. We show that both Lagrangian ROMs are more accurate than the standard Eulerian ROMs, that is, ROMs that use standard Eulerian in
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Jeong, Hosik, Kanghyuk Ko, Junsung Kim, et al. "Evaluation of Prediction Model for Compressor Performance Using Artificial Neural Network Models and Reduced-Order Models." Energies 17, no. 15 (2024): 3686. http://dx.doi.org/10.3390/en17153686.

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In order to save the time and material costs associated with refrigeration system performance evaluations, a reduced-order model (ROM) using highly accurate numerical analysis results and some experimental values was developed. To solve the shortcomings of these traditional methods in monitoring complex systems, a simplified reduced-order system model was developed. To evaluate the performance of the refrigeration system compressor, the temperature of several points in the system where the compressor actually operates was measured, and the measured values were used as input values for ROM deve
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Colanera, Antonio, Eduardo Di Costanzo, Matteo Chiatto, and Luigi de Luca. "Reduced-Order Model Approaches for Predicting Airfoil Performance." Actuators 13, no. 3 (2024): 88. http://dx.doi.org/10.3390/act13030088.

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This study delves into the construction of reduced-order models (ROMs) of a flow field over a NACA 0012 airfoil at a moderate Reynolds number and an angle of attack of 8∘. Numerical simulations were computed through the finite-volume solver OpenFOAM. The analysis considers two different reduction techniques: the standard Galerkin projection method, which involves projecting the governing equations onto proper orthogonal decomposition modes (POD−ROMs), and the cluster-based network model (CNM), a fully data-driven nonlinear approach. An analysis of the topology of the dominant POD modes was con
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Dou, Yi Bin, and Min Xu. "Nonlinear Aerodynamics Reduced-Order Model Based on Multi-Input Volterra Series." Advanced Materials Research 748 (August 2013): 421–26. http://dx.doi.org/10.4028/www.scientific.net/amr.748.421.

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This paper gives a low-order approximations of multi-input Volterra series as a nonlinear reduced-order model (ROM) based on wavelet multiresolution analysis. The band-limited pseudorandom multilevel sequence (PRMS) is used as the identification signal and the QR decomposition recursive least square (QRD-RLS) method is utilized as identification method. At last, the ROM is applied to model the nonlinear aerodynamic moment of an airfoil undergoing simultaneous forced pitch and plunge harmonic oscillation. The results show that including the second-order Volterra cross kernels in ROM can capture
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Solán-Fustero, Pablo, José Luis Gracia, Adrián Navas-Montilla, and Pilar García-Navarro. "A POD-based reduced order model applied to 1D shallow water equations." IOP Conference Series: Earth and Environmental Science 1136, no. 1 (2023): 012036. http://dx.doi.org/10.1088/1755-1315/1136/1/012036.

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Abstract Many environmental problems involving free surface flow can be solved using the shallow water equations (SWE) often involving high computational costs due to the large spatial and temporal scales of the events. In recent times, reduced order models (ROM) techniques are increasingly used to improve the computational efficiency of simulation models. The Proper Orthogonal Decomposition (POD) method provides an orthogonal basis for representing a given set of data and constructing the ROM by means of the method of snapshots. In this work, a POD-based intrusive ROM strategy is applied to t
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Rodrigues, Guilherme V., and Marcelo A. Savi. "Reduced-Order Model Description of Origami Stent Built with Waterbomb Pattern." International Journal of Applied Mechanics 13, no. 02 (2021): 2150016. http://dx.doi.org/10.1142/s1758825121500162.

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Origami-inspired structures have found many innovative applications in engineering fields. The expressive volume changes intrinsically related to their geometry is very useful for different purposes. Nevertheless, the mathematical description of origami structures is complex, which makes the design a challenging topic. This work deals with the use of reduce-order models for the origami description. A cylindrical origami structure with waterbomb pattern, called origami stent, is of concern. A reduced-order model (ROM) is developed based on kinematics and symmetry hypotheses. Afterward, a finite
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Dissertations / Theses on the topic "ROM (Reduced-Order Model)"

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Gao, Haotian. "POD-Galerkin based ROM for fluid flow with moving boundaries and the model adaptation in parametric space." Diss., Kansas State University, 2018. http://hdl.handle.net/2097/38776.

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Doctor of Philosophy<br>Department of Mechanical and Nuclear Engineering<br>Mingjun Wei<br>In this study, a global Proper Orthogonal Decomposition (POD)-Galerkin based Reduced Order model (ROM) is proposed. It is extended from usual fixed-domain problems to more general fluid-solid systems with moving boundaries/interfaces. The idea of the extension is similar to the immersed boundary method in numerical simulations which uses embedded forcing terms to represent boundary motions and domain changes. This immersed boundary method allows a globally defined fixed domain including both fluid and so
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Raghupathy, Arun Prakash. "Boundary-Condition-Independent Reduced-Order Modeling for Thermal Analysis of Complex Electronics Packages." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1240536463.

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Mowat, Andrew Gavin Bradford. "Modelling of non-linear aeroelastic systems using a strongly coupled fluid-structure-interaction methodology." Diss., University of Pretoria, 2011. http://hdl.handle.net/2263/30521.

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The purpose of this study was to develop a robust fluid-structure-interaction (FSI) technology that can accurately model non-linear flutter responses for sub- and transonic fluid flow. The Euler equation set governs the fluid domain, which was spatially discretised by a vertex-centred edge-based finite volume method. A dual-timestepping method was employed for the purpose of temporal discretisation. Three upwind schemes were compared in terms of accuracy, efficiency and robustness, viz. Roe, HLLC (Harten-Lax-Van Leer with contact) and AUSM+-up Advection Up-stream Splitting Method). For this pu
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DE, STEFANO MARCO. "Modeling and Simulation of Nonlinearly Loaded Electromagnetic Systems via Reduced Order Models - A Case Study: Energy Selective Surfaces." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2972203.

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He, Fan. "Combined Experimental and Numerical Study of Active Thermal Control of Battery Modules." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/51748.

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Lithium ion (Li-ion) batteries have been identified as a promising solution to meet the increasing demands for alternative energy in electric vehicles (EVs) and hybrid electric vehicle (HEVs). This work describes experimental and numerical study of thermal management of battery module consisting of cylindrical Li-ion cells, with an emphasis on the use of active control to achieve optimal cooling performance with minimal parasitic power consumption. The major contribution from this work is the first experimental demonstration (based on our review of archival journal and conference literature) a
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Vetrano, Fabio. "POD Approach for Aeroelastic Updating." Thesis, Paris, CNAM, 2014. http://www.theses.fr/2015CNAM0976.

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Bien que les méthodes de calcul peuvent donner de bons résultats, ils ne sont généralement pas en accord avec exactement les données d'essais en vol en raison des incertitudes dans les modelé de calcul de structure et aérodynamiques. Une méthode efficace est nécessaire pour la mise à jour des modelé aeroelastiques en utilisant les données d'essais en vol, les données d'essais de vibration au sol ( GVT ) et les données de soufflerie. Tout d'abord tous les développements ont été valides sur une section de l'aile 2D et sur un modèle 3D simple et après l'approche POD a été applique= a une configur
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Gärtner, Lars-Erik. "Modellierung und Simulation der Vergasung von Brennstoffmischungen." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2015. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-184350.

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Mit Hilfe eines variabel einsetzbaren Reaktornetzwerkmodells (RNM) wird in der vorliegenden Dissertation der Prozess der Vergasung von Brennstoffmischungen in der Fließbildsimulation beschrieben. Neben der Untersuchung von gestuften Prozessketten zur Veredelung von kohlenstoffhaltigen Energieträgern ist damit auch die differenzierte Analyse von Effekten während der Vergasung von binären und ternären Brennstoffmischungen möglich. Die Erstellung sowie Validierung des RNM wird anhand des PEFR-Vergasers, des SFGT-Vergasers und des Hybridwandvergaser vorgenommen. Die anschließende Analyse der Verga
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Haghighat, Ali. "Fire Simulation Cost Reduction for Improved Safety and Response for Underground Spaces." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/79672.

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Over the past century, great strides have been made in the advancement of mine fire knowledge since the 1909 Cherry Mine Fire Disaster, one of the worst in U.S. history. However, fire hazards remain omnipresent in underground coal mines in the U.S. and around the world. A precise fire numerical analysis (simulation) before any fire events can give a broad view of the emergency scenarios, leading to improved emergency response, and better health and safety outcomes. However, the simulation cost of precise large complex dynamical systems such as fire in underground mines makes practical and even
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Dubot, Claire. "Modélisation CFD thermohydraulique des générateurs de vapeur et application de techniques de réduction de modèle." Electronic Thesis or Diss., La Rochelle, 2022. http://www.theses.fr/2022LAROS029.

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NAVAL GROUP mène une démarche R&amp;D pour la modélisation et la simulation des échangeurs de chaleur qui a abouti au code de calcul thermohydraulique SIMEC-CFD. Celui-ci repose sur l’analogie entre le faisceau de tubes et un milieu poreux. Le générateur de vapeur est étudié. Il est proposé d’utiliser le modèle de mélange où la vitesse de dérive est reformulée comme une fonction du glissement afin d’implémenter un modèle connu et adapté aux écoulements dans les faisceaux de tubes. SIMEC-CFD est alimenté principalement par des corrélations empiriques. Pour pallier le manque de données dans la l
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Fang, Chih. "A reduced-order meshless energy (ROME) model for the elastodynamics of mistuned bladed disks." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/12457.

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Books on the topic "ROM (Reduced-Order Model)"

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Zydroń, Tymoteusz. Wpływ systemów korzeniowych wybranych gatunków drzew na przyrost wytrzymałości gruntu na ścinanie. Publishing House of the University of Agriculture in Krakow, 2019. http://dx.doi.org/10.15576/978-83-66602-46-5.

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The aim of the paper was to determine the influence of root systems of chosen tree species found in the Polish Flysch Carpathians on the increase of soil shear strength (root cohesion) in terms of slope stability. The paper's goal was achieved through comprehensive tests on root systems of eight relatively common in the Polish Flysch Carpathians tree species. The tests that were carried out included field work, laboratory work and analytical calculations. As part of the field work, the root area ratio (A IA) of the roots was determined using the method of profiling the walls of the trench at a
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Book chapters on the topic "ROM (Reduced-Order Model)"

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Bontinck, Zeger, Oliver Lass, Oliver Rain, and Sebastian Schöps. "Model Order Reduction for Rotating Electrical Machines." In Reduced-Order Modeling (ROM) for Simulation and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75319-5_6.

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Ryckelynck, David, Fabien Casenave, and Nissrine Akkari. "Learning Projection-Based Reduced-Order Models." In Manifold Learning. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52764-7_2.

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AbstractIn this chapter, we introduce the solution space for high-fidelity models based on partial differential equations and the finite element model. The manifold learning approach to model order reduction requires simulated data. Hence, learning projection-based reduced order models (ROM) has two steps: (i) an offline step for the computation of simulated data and for consecutive machine learning tasks, (ii) an online step where the reduced order model is used as a surrogate for the high fidelity model. The offline step generates a train set and a validation set of simulated data. The accur
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Hartmann, Dirk, Matthias Herz, and Utz Wever. "Model Order Reduction a Key Technology for Digital Twins." In Reduced-Order Modeling (ROM) for Simulation and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75319-5_8.

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Benner, Peter, Maike Braukmüller, and Sara Grundel. "A Direct Index 1 DAE Model of Gas Networks." In Reduced-Order Modeling (ROM) for Simulation and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75319-5_5.

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Fehr, Jörg, Dennis Grunert, Philip Holzwarth, Benjamin Fröhlich, Nadine Walker, and Peter Eberhard. "Morembs—A Model Order Reduction Package for Elastic Multibody Systems and Beyond." In Reduced-Order Modeling (ROM) for Simulation and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75319-5_7.

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Benner, Peter, and Pawan Goyal. "An Iterative Model Reduction Scheme for Quadratic-Bilinear Descriptor Systems with an Application to Navier–Stokes Equations." In Reduced-Order Modeling (ROM) for Simulation and Optimization. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75319-5_1.

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Zdybał, K., M. R. Malik, A. Coussement, J. C. Sutherland, and A. Parente. "Reduced-Order Modeling of Reacting Flows Using Data-Driven Approaches." In Lecture Notes in Energy. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16248-0_9.

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AbstractData-driven modeling of complex dynamical systems is becoming increasingly popular across various domains of science and engineering. This is thanks to advances in numerical computing, which provides high fidelity data, and to algorithm development in data science and machine learning. Simulations of multicomponent reacting flows can particularly profit from data-based reduced-order modeling (ROM). The original system of coupled partial differential equations that describes a reacting flow is often large due to high number of chemical species involved. While the datasets from reacting
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Hariharan, Krishnan S., Piyush Tagade, and Sanoop Ramachandran. "Theoretical Framework of the Reduced Order Models (ROM)." In Mathematical Modeling of Lithium Batteries. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-03527-7_5.

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Tang, Qi, Yujie Sun, Yuhan Zhu, Lei Kang, and Changli Liu. "Development of Reduced-Order Models Based on Singular Value Decomposition and Neural Network Regression." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia231352.

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This article proposes a method for building reduced-order models (ROMs) to address the issue of long solving time in traditional ANSYS finite element models, which can provide fast simulation results based on different loading conditions. Firstly, an orthogonal experiment is designed to obtain simulation results from the ANSYS model as training data. Secondly, the singular value decomposition (SVD) is combined with neural network regression to establish the reduced-order model. Then, the ROM generator software is built based on MATLAB. Finally, a stress reduced-order model of a specific finite
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Yuan, Cui, Lu Xie, Yanjun Zhang, Zhen Wang, Weiguo Zhou, and Wutao Lei. "The Application of Reduced-Order Model Based on POD and Galerkin Projection in Multi-Element Airfoil." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde250022.

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The unsteady flow field of the multi-element airfoil 30P30N at low Reynolds numbers was analyzed using a high-precision CFD method employing the Large Eddy Simulation (LES) turbulence model. Additionally, a reduced-order model (ROM) based on Proper Orthogonal Decomposition (POD) and Galerkin projection was developed and verified. This approach not only deepens our understanding of the aerodynamic performance of multi-element airfoil but also provides an efficient tool of reduced order modeling.
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Conference papers on the topic "ROM (Reduced-Order Model)"

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Oates, Brenden, Braulio Vera Garcia, Marilyn Smith, and Juergen Rauleder. "Efforts Toward a Piecewise Reduced-Order Model for Unsteady, Complex Ship Airwakes." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-278.

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The complex and turbulent ship airwakes make shipboard rotorcraft launch and recovery difficult for even the most seasoned pilots. One of the main challenges to using flight simulation to train pilots is the real-time accurate prediction of the ship airwake. A real-time, accurate methodology that is able to operate on personal computers without computational meshing is being developed for Advanced Air Mobility (AAM) applications. The early success of this novel approach indicates that it may be well-suited to meet the challenge of dynamic interface (DI) applications as well. To explore this, a
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Hong, Yoonpyo, Dawoon Lee, Yu-Eop Kang, and Kwanjung Yee. "Rotor Blade Design Optimization with Airfoil Consideration Using Advanced Reduced Order Models." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1261.

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This paper introduces ABC2, an advanced framework for rotor blade design optimization that can effectively consider the airfoil shape variations during optimization process. A major component of this framework is an reduced-order model (ROM) that leverages deep-neural-network techniques both for airfoil parameterization and performance prediction. Utilizing the UIUC airfoil database and a two-dimensional unsteady Reynolds-averaged Navier-Stokes (URANS) solver, the ROM can effectively control the airfoil shapes and predict the resulting aerodynamic performance across the wide range of flow cond
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Mallios, Spyridon, and Blaise Cole. "Analysis of Complex Transmission Systems, Leveraging SPH Analysis and Reduced Order Modeling." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-262.

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There is a continued and growing need for better analysis and simulation of complex transmission systems with the rise of hybrid electric powerplants coming to future aviation vehicles. In this paper we discuss how reduced order modeling can help to efficiently predict the thermal behavior of gearboxes during operations smartly reusing data from SPH based oil flow simulations. To solve the thermal problem, a dynamic non-linear Reduced Order Model (ROM) is generated to estimate the Gear-Oil heat transfer coefficient (HTC) based on variable gearbox RPM and Oil fill level.
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Segala, David B., and David Chelidze. "Robust and Dynamically Consistent Reduced Order Models." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62522.

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The need for reduced order models (ROMs) has become considerable higher with the increasing technological advances that allows one to model complex dynamical systems. When using ROMs, the following two questions always arise: 1) “What is the lowest dimensional ROM?” and 2) “How well does the ROM capture the dynamics of the full scale system model?” This paper considers the newly developed concepts the authors refer to as subspace robustness — the ROM is valid over a range of initial conditions, forcing functions, and system parameters — and dynamical consistency — the ROM embeds the nonlinear
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Beck, Joseph A., Jeffrey M. Brown, Alex A. Kaszynski, Emily B. Carper, and Daniel L. Gillaugh. "Geometric Mistuning Reduced Order Model Development Utilizing Bayesian Surrogate Models for Component Mode Calculations." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-90923.

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Abstract By design, Integrally Bladed Rotors (IBRs) are meant to be tuned, rotationally periodic structures. However, unique variations in geometries and material properties from sector-to-sector, referred to as mistuning, destroy the structural periodicity. This results in mode localization that can induce forced response levels greater than what is predicted with a tuned-structure analysis. Furthermore, mistuning and mode localization are random processes that require stochastic treatments when analyzing the distribution of fleet responses. Generating this distribution can be computationally
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de Castro, Amy, Paul Kuberry, Irina Tezaur, and Pavel Bochev. "A Novel Partitioned Approach for Reduced Order Model—Finite Element Model (ROM-FEM) and ROM-ROM Coupling." In 18th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments. American Society of Civil Engineers, 2023. http://dx.doi.org/10.1061/9780784484470.044.

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Sartori, Alberto, Davide Baroli, Antonio Cammi, Lelio Luzzi, and Gianluigi Rozza. "A Reduced Order Model for Multi-Group Time-Dependent Parametrized Reactor Spatial Kinetics." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30707.

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In this work, a Reduced Order Model (ROM) for multi-group time-dependent parametrized reactor spatial kinetics is presented. The Reduced Basis method (built upon a high-fidelity “truth” finite element approximation) has been applied to model the neutronics behavior of a parametrized system composed by a control rod surrounded by fissile material. The neutron kinetics has been described by means of a parametrized multi-group diffusion equation where the height of the control rod (i.e., how much the rod is inserted) plays the role of the varying parameter. In order to model a continuous movement
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Kalashnikova, I., and S. Arunajatesan. "A STABLE GALERKIN REDUCED ORDER MODEL (ROM) FOR COMPRESSIBLE FLOW." In 10th World Congress on Computational Mechanics. Editora Edgard Blücher, 2014. http://dx.doi.org/10.5151/meceng-wccm2012-18407.

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Tang, Yifan, Pouyan Sajadi, Mostafa Rahmani Dehaghani, and G. Gary Wang. "An Online Sequential Update Method for Reduced-Order-Model-Based Digital Twin." In ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/detc2024-143556.

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Abstract Digital twin (DT) refers to any model that reflects a physical system and remains updated with the real-time data from the physical system. Recently, DT constructed with a reduced-order model (DT-ROM) has been applied to aerodynamics and structure health monitoring tasks, whose partial differential equations (PDEs) are used to design the online update formula for reduced bases and coefficients in DT-ROM. Although such online update methods improve the performance of DT-ROM, they are not applicable when the PDEs of a system are unknown. This paper focuses on the online update task wher
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Inagaki, Takahiro, Tadaaki Nasu, Minoru Takeshige, Motofumi Iwata, and Naoto Nakane. "Reduced Order Modeling Technology with AI for Model-Based-Development." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2850.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;This paper introduces reduced-order modeling techniques with Artificial Intelligence (AI) for Model-Based Development (MBD). In vehicle development, detailed physical models are replaced by reduced-order models (ROM) to expedite simulations. With recent advancements in AI-based reduced-order modeling, it is expected that modeling work will become more efficient, leading to reduced simulation times. However, the range of simulations (Model-in-the-Loop Simulation - MILS, Hardware-in-the-Loop Simulation - HILS, bench-system
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Reports on the topic "ROM (Reduced-Order Model)"

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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, et al. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost
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Choudhary, Ruplal, Victor Rodov, Punit Kohli, Elena Poverenov, John Haddock, and Moshe Shemesh. Antimicrobial functionalized nanoparticles for enhancing food safety and quality. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7598156.bard.

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Original objectives The general goal of the project was to utilize the bactericidal potential of curcumin- functionalizednanostructures (CFN) for reinforcement of food safety by developing active antimicrobial food-contact surfaces. In order to reach the goal, the following secondary tasks were pursued: (a) further enhancement of the CFN activity based on understanding their mode of action; (b) preparing efficient antimicrobial surfaces, investigating and optimizing their performance; (c) testing the efficacy of the antimicrobial surfaces in real food trials. Background to the topic The projec
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Lahav, Ori, Albert Heber, and David Broday. Elimination of emissions of ammonia and hydrogen sulfide from confined animal and feeding operations (CAFO) using an adsorption/liquid-redox process with biological regeneration. United States Department of Agriculture, 2008. http://dx.doi.org/10.32747/2008.7695589.bard.

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The project was originally aimed at investigating and developing new efficient methods for cost effective removal of ammonia (NH₃) and hydrogen sulfide (H₂S) from Concentrated Animal Feeding Operations (CAFO), in particular broiler and laying houses (NH₃) and hog houses (H₂S). In both cases, the principal idea was to design and operate a dedicated air collection system that would be used for the treatment of the gases, and that would work independently from the general ventilation system. The advantages envisaged: (1) if collected at a point close to the source of generation, pollutants would
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