Relevant bibliographies by topics / SEA Statistical energy analysis

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'SEA Statistical energy analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 22 June 2024

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Journal articles on the topic "SEA Statistical energy analysis"

1

Lu, L. "Statistical Energy Analysis for Electronic Equipment." Journal of Electronic Packaging 113, no. 3 (September 1, 1991): 322–25. http://dx.doi.org/10.1115/1.2905413.

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Vibration response of electronic equipment analyzed by a simple mathematical model or a finite element model can only provide a limited system response calculation. Application of the Statistical Energy Analysis (SEA) was extended to the calculation of the vibrations of individual components. In order to demonstrate the applicability of SEA to instrumentation vibration analysis at high frequency ranges, an 8-component electronic box was chosen for test and analysis. There was good agreement between tested and analytical results in the frequency averaged sense.
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Lafont, T., N. Totaro, and A. Le Bot. "Coupling strength assumption in statistical energy analysis." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2200 (April 2017): 20160927. http://dx.doi.org/10.1098/rspa.2016.0927.

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This paper is a discussion of the hypothesis of weak coupling in statistical energy analysis (SEA). The examples of coupled oscillators and statistical ensembles of coupled plates excited by broadband random forces are discussed. In each case, a reference calculation is compared with the SEA calculation. First, it is shown that the main SEA relation, the coupling power proportionality, is always valid for two oscillators irrespective of the coupling strength. But the case of three subsystems, consisting of oscillators or ensembles of plates, indicates that the coupling power proportionality fails when the coupling is strong. Strong coupling leads to non-zero indirect coupling loss factors and, sometimes, even to a reversal of the energy flow direction from low to high vibrational temperature.
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Maidanik, G. "Some aspects of the statistical energy analysis—SEA." Journal of the Acoustical Society of America 79, S1 (May 1986): S11. http://dx.doi.org/10.1121/1.2023070.

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Maidanik, G., and K. J. Becker. "Are the energy analysis (EA) and the statistical energy analysis (SEA) compatible?" Journal of the Acoustical Society of America 114, no. 4 (October 2003): 2419. http://dx.doi.org/10.1121/1.4778682.

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Dowell, E. H., and Y. Kubota. "Asymptotic Modal Analysis and Statistical Energy Analysis of Dynamical Systems." Journal of Applied Mechanics 52, no. 4 (December 1, 1985): 949–57. http://dx.doi.org/10.1115/1.3169174.

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A new derivation of the results commonly referred to as Statistical Energy Analysis (SEA) is given by studying the asymptotic behavior of classical modal analysis for a general, linear (structural) system. It is shown that, asymptotically, the response at (almost) all points of the system is the same. A numerical example is used to illustrate the way in which the asymptotic limit is approached. Both random and sinusoidal loadings are considered; for the latter an extension of the usual SEA result is obtained.
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Lee, J. J., and A. E. Ni. "Structure-Borne Tire Noise Statistical Energy Analysis Model." Tire Science and Technology 25, no. 3 (July 1, 1997): 177–86. http://dx.doi.org/10.2346/1.2137539.

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Abstract The application of the Statistical Energy Analysis (SEA) technique on vehicle high frequency noise has gained popularity. It is desirable to model the tire to provide the capability of vehicle system NVH prediction. An SEA model for the structure-borne noise has been developed. The point mobility shows good agreement with measurement. The modeling methodology on tread bands, sidewalls, and their coupling are discussed. The modeling requirements and prospects are also included.
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Spelman, G. M., and R. S. Langley. "Statistical energy analysis of nonlinear vibrating systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2051 (September 28, 2015): 20140403. http://dx.doi.org/10.1098/rsta.2014.0403.

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Nonlinearities in practical systems can arise in contacts between components, possibly from friction or impacts. However, it is also known that quadratic and cubic nonlinearity can occur in the stiffness of structural elements undergoing large amplitude vibration, without the need for local contacts. Nonlinearity due purely to large amplitude vibration can then result in significant energy being found in frequency bands other than those being driven by external forces. To analyse this phenomenon, a method is developed here in which the response of the structure in the frequency domain is divided into frequency bands, and the energy flow between the frequency bands is calculated. The frequency bands are assigned an energy variable to describe the mean response and the nonlinear coupling between bands is described in terms of weighted summations of the convolutions of linear modal transfer functions. This represents a nonlinear extension to an established linear theory known as statistical energy analysis (SEA). The nonlinear extension to SEA theory is presented for the case of a plate structure with quadratic and cubic nonlinearity.
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Lu, Leo K. H. "Optimum Damping Selection by Statistical Energy Analysis." Journal of Vibration and Acoustics 112, no. 1 (January 1, 1990): 16–20. http://dx.doi.org/10.1115/1.2930090.

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It is widely accepted that for mitigating the vibration developed in structures, damping should be applied to the components with the largest response and be added at locations in the components’ energy transmission paths. However, it is difficult to determine the optimum damping location for some complicated dynamic systems. In this paper, the SEA concept is used to prove mathematically the reason for damping application and also to provide a convenient procedure for selecting the location of the damping treatment.
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Lafont, T., N. Totaro, and A. Le Bot. "Review of statistical energy analysis hypotheses in vibroacoustics." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 470, no. 2162 (February 8, 2014): 20130515. http://dx.doi.org/10.1098/rspa.2013.0515.

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This paper is a discussion of the equivalence between rain-on-the-roof excitation, diffuse field and modal energy equipartition hypotheses when using statistical energy analysis (SEA). A first example of a simply supported plate is taken to quantify whether a field is diffuse or the energy is equally distributed among modes. It is shown that the field can be diffuse in a certain region of the frequency-damping domain with a single point force but without energy equipartition. For a rain-on-the-roof excitation, the energy becomes equally distributed, and the diffuse field is enforced in all regions. A second example of two plates coupled by a light spring is discussed. It is shown that in addition to previous conclusions, the power exchanged between plates agrees with the statistical prediction of SEA if and only if the field is diffuse. The special case of energy equipartition confirms this observation.
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Smither, Matt, and David Herrin. "Statistical energy analysis simulation of an air-handling cabinet." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 266, no. 2 (May 25, 2023): 475–84. http://dx.doi.org/10.3397/nc_2023_0070.

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Statistical energy analysis (SEA) is a vibro-acoustic modeling technique suitable for systems where high modal densities exist. Traditionally SEA is used for predicting system response in higher frequency bands. However, for systems such as an air-handler that contain large, flat panels constructed of sheet metal the usefulness of SEA stretches into mid and lower frequency bands as well. Measured results of an air-handling cabinet were obtained by spatially averaging accelerations of cabinet surfaces caused by an input of white noise into the cabinet side by a shaker. Energy from each sub-panel of the cabinet was normalized with the panel into which the energy was input for easy comparison with modeled data. A simplified model of the air-handling cabinet processed in VA One software yielded results generally within 10 dB of measured results. Some lower frequency band limitations were realized due to cabinet geometry and construction. These results focus primarily on the structure and less so on the acoustic volume of the air-handling cabinet.
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Dissertations / Theses on the topic "SEA Statistical energy analysis"

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Lafont, Thibault. "Statistical vibroacoustics : study of SEA assumptions." Thesis, Ecully, Ecole centrale de Lyon, 2015. http://www.theses.fr/2015ECDL0003/document.

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La méthode SEA (Statistical Energy Analysis) est une approche statistique de la vibroacoustique permettant de décrire les systèmes complexes en termes d'échanges d'énergies vibratoires et acoustiques. En moyennes et hautes fréquences, cette méthode se présente comme une alternative aux méthodes déterministes (coût des calculs dû au grand nombre de modes, de degrés de liberté, unicité de la solution) Néanmoins, son utilisation requiert la connaissance et le respect d'hypothèses fortes qui limitent son domaine d'application. Dans ce mémoire, les fondements de la SEA ont été examinés afin de discuter chaque hypothèse. Le champ diffus, l'équipartition de l’énergie modale, le couplage faible, l'influence des modes non résonants et l'excitation rain-on-the-roof sont les cinq hypothèses qui ont été abordées. Sur la base d'exemples simples (oscillateurs couplés, plaques couplées), les équivalences et leurs influences sur la qualité des résultats ont été étudiées pour contribuer à la clarification des hypothèses nécessaires à l'application de la SEA ct pour borner son domaine de validité SEA
Statistical energy analysis is a statistical approach of vibroacoustics which allows to describe complex systems in terms of vibrational or acoustical energies. ln the high frequency range, this method constitutes an alternative to bypass the problems which can occur when applying deterministic methods (computation cost due to the large number of modes, the large number of degrees of freedom and the unicity of the solution). But SEA has numerous assumptions which are sometimes forgotten or misunderstood ln this thesis, foundations of SEA have been examined in order to discuss each assumption. Diffuse field, modal energy equipartition, weak coupling, the influence of non-resonant modes and the rain on the roof excitation are the five look up hypotheses. Based on simple examples (coupled oscillators, coupled plates), the possible equivalences and their influence on the quality of the results have been discussed to contribute to the clarification of the useful SEA assumptions and to mark out it's the validity domain
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Connelly, Terence. "Structural vibration transmission in ships using statistical energy analysis." Thesis, Heriot-Watt University, 1999. http://hdl.handle.net/10399/1234.

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This thesis presents the results of an investigation into the application of statistical energy analysis (SEA) to predict structure-borne noise transmission in ship structures. The first three chapters introduce the problems of noise and vibration in ships; the previous research on the application of SEA to ships; the basic theory of SEA and the experimental measurement techniques and procedures used to gather data The main body of this thesis presents a wave transmission model for the hull frame joint which is commonly encountered on the hull, bulkheads and deck plates of ship structures. The wave model allows the transmission coefficients to be calculated for hull frame joints which can be used in the coupling loss factor equations of SEA models. The joint model has been verified against measured data taken on a simple two subsystem single joint laboratory structures and a large complex 38 plate test structure with multiple joints intended to represent a 1/10' scale model of a hull section. In addition to the laboratory structures, the SEA modelling of sections of a ship is presented for a large ribbed deck plate, a section of the ship superstructure and a section of the ships hull. The results from the SEA models are compared with measured attenuation data taken on the respective ship sections. A large amount of damping data has been gathered on the test and ship structures and an equation for the internal steel based on data gathered by other researchers has been verified. It has been shown in this thesis that SEA can be applied to ships. Better agreement is found with real structures in contrast to the poor results presented for SEA when applied to simple one dimensional structures. The level of detail of the model is important as a coarse model yields better predictions of vibration level. As with all models the results are sensitive to the damping level and it is necessary to include bending, longitudinal and transverse wave types in any SEA model to obtain the best prediction. It was also found that the flange plates can be neglected from the frame joint model without compromising the accuracy.
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Bashir, Hussam. "Calculation of Wave Propagation for Statistical Energy Analysis Models." Thesis, Uppsala universitet, Tillämpad mekanik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-267928.

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This thesis investigates the problems of applying Statistical Energy Analysis (SEA) tomodels that include solid volumes. Three wave types (Rayleigh waves, Pressure wavesand Shear waves) are important to SEA and the mathematics behind them is explainedhere. The transmission coefficients between the wave types are needed for energytransfer in SEA analysis and different approaches to solving the properties of wavepropagation on a solid volume are discussed. For one of the propagation problems, asolution, found in Momoi [6] is discussed, while the other problem remains unsolveddue to the analytical difficulties involved.
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Lopez, Rémy. "Adaptation des méthodes “statistical energy analysis” (sea) aux problèmes d'électromagnétisme en cavités." Toulouse 3, 2006. http://www.theses.fr/2006TOU30045.

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Modéliser des phénomènes électromagnétiques par des méthodes déterministes requiert une division du volume étudié en éléments discrets dont la taille est de l'ordre du dixième de la longueur d'onde. La demande en ressource informatique augmente donc avec la fréquence. De plus, compte tenu de la complexité des problèmes et des incertitudes sur les données d'entrées, il devient illusoire de réaliser un calcul déterministe pour chaque variable analysée. De nouvelles méthodes, dites énergétiques, sont développées pour étudier les systèmes grands devant la longueur d'onde. Elles permettent d'estimer statistiquement la valeur du champ à l'intérieur d'un système. Une de ces techniques, la Statistical Energy Analysis (SEA), développée en acoustique, est transposée ici en électromagnétisme. La SEA permet de décrire les échanges d'énergies entre les différents systèmes composant une structure. L'énergie de chaque système dépend des notions de mode de résonance, de perte et de couplage. Les paramètres liés à ces notions sont évalués analytiquement et numériquement. Une méthode de sous structuration automatique est également présentée Les résultats obtenus semblent confirmer l'intérêt de cette méthode
Modeling electromagnetic phenomena by deterministic methods requires a subdivision of the volume under study into a number of discrete elements with sizes of the order of tenth of the wavelength. So, the demand for computer resources significantly grows with increasing frequencies. Moreover, taking into account the complexity of the problems and the uncertainties on the input data, it becomes illusory to make a deterministic calculation for each studied variable. New methods, called energetic methods, were developed to study systems large in front of the wavelength. They allow to estimate statistically the value of the field inside a system One of these methods, the Statistical Energy Analysis (SEA), developed in acoustic, is transposed here in electromagnetism. The SEA allows to describe the exchanges of energy between the different systems of a structure. The energy of each system depends on the concepts of mode of resonance, loss and coupling. The parameters linked with these concepts are assessed by analytical formulae and numerical simulations. An automatic sub structuring method is also presented. The results obtained seem to confirm the interest of this method
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Kiremitci, Utku. "Interior And Exterior Noise Analysis Of A Single Engine Propeller Aircraft Using Statistical Energy Analysis Method." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610558/index.pdf.

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Two different Statistical Energy Analysis (SEA) models of a single turbo-prop engine propeller aircraft have been developed to predict the interior and exterior noise levels. The commercial software VA One is used for the analysis. First model is a pure SEA model developed with ribbed plates on the aircraft exterior. Second model is a hybrid model which employs finite element (FE) modeling of aircraft components with low modal density. These models have been analyzed for three different flight conditions, namely, take-off, cruise and climb for three different damping loss factors in each condition. Wind tunnel measurements are used to estimate the turbulent boundary layer (TBL) information on the surface of the aircraft. Propeller noise together with TBL loading are then used as the excitation for the models. Flow paths of energy are identified and cabin interior noise levels are predicted for the developed models. Results of analyses are comparatively evaluated.
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Yilmazel, Canan. "Analysis Of High Frequency Behavior Of Plate And Beam Structures By Statistical Energy Analysis Method." Phd thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605133/index.pdf.

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Statistical Energy Analysis (SEA) is one of the methods in literature to estimate high frequency vibrations. The inputs required for the SEA power balance equations are damping and coupling loss factors, input powers to the subsystems. In this study, the coupling loss factors are derived for two and three plates joined with a stiffener system. Simple formulas given in the literature for coupling loss factors of basic junctions are not used and the factors are calculated from the expressions derived in this study. The stiffener is modelled as line mass, Euler beam, and open section channel having double and triple coupling. Plate is modelled as Kirchoff plate. In the classical SEA approach the joint beam is modelled as another subsystem. In this study, the beam is not a separate subsystem but is used as the characteristics of the joint and to calculate the coupling loss factor between coupled plates. Sensitivity of coupling loss factors to system parameters is studied for different beam approaches. The derived coupling loss factors and input powers are used to calculate the subsystem energies by SEA. The last plate is joined to the first one to simulate the fuselage structure. A plate representing floor structure and acoustic volume are also added. The different modelling types are assessed by applying pressure wave excitation. It is shown that deriving the parameters as given in this study increases the efficiency of the SEA method.
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Totaro, Nicolas. "Caractérisation de sources aérodynamiques et sous-structuration pour la méthode SEA." Phd thesis, INSA de Lyon, 2004. http://tel.archives-ouvertes.fr/tel-00780668.

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La méthode SEA (Statistical Energy Analysis) permet de prévoir les échanges d'énergie entre sous-systèmes d'une structure lorsque celle-ci est soumise à une excitation. La SEA est théoriquement très simple à mettre en place et permet de faire des variations paramétriques sur un modèle de la structure en phase de conception. Cette méthode est utilisée de manière pertinente dans le domaine du bâtiment mais peine à s'implanter dans le secteur des transports où les systèmes étudiés sont beaucoup plus complexes. Plusieurs difficultés apparaissent dans ces cas de figure et empêchent une modélisation correcte de la structure. La première difficulté vient de la nécessité de découper la structure en sous-systèmes respectant les hypothèses de la SEA. Ce découplage, presque trivial dans le bâtiment, devient particulièrement complexe dans le cas d'une caisse de voiture par exemple. L'estimation des puissances injectées par les sources dans la structure est une deuxième difficulté. En effet, les énergies des sous-systèmes sont directement proportionnelles à la puissance injectée. Ainsi, une mauvaise estimation de la puissance entraîne une erreur sur les échanges d'énergies. Le but de ce travail de thèse est double. Dans la première partie, une modèle de puissance injectée dans une plaque rectangulaire soumise à une couche limite turbulente (CLT) établie. Ce modèle simple permet de souligner l'influence des différents paramètres agissant sur la puissance injectée et d'estimer avec le temps de calcul très faible la puissance injectée par bande de fréquence. Une validation expérimentale est aussi exposée. Dans la deuxième partie, une méthode de sous-structuration automatique d'une structure en sous-systèmes SEA est proposée. Elle est basée sur l'analyse et la classification de fonctions de transfert énergétiques simulées par éléments finis. Un algorithme de classification permet de diviser la base de données en N sous-systèmes (N allant de 2 à Nmax). Un indice, validé sur des assemblages simples, indique la sous-structuration optimale pour une application SEA. Des applications industrielles, démontrant l'applicabilité de la méthode à des structures complexes, seront présentées.
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Sy, Djibril. "Modélisation et optimisation des performances acoustiques d'un tablier d'automobile en alliage de magnésium." Mémoire, Université de Sherbrooke, 2010. http://savoirs.usherbrooke.ca/handle/11143/1589.

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Résumé : Ce projet fait partie du projet MFERD (Magnésium Front End Research and Development) qui vise à développer les technologies permettant de rendre les alliages de Magnésium (Mg) comme un principal matériau structural pour les voitures (aujourd'hui essentiellement constituées d'acier quatre fois plus lourd que le Mg) afin d'en réduire leur masse pour des raisons environnementales et sécuritaires. Dans ce travail de maîtrise nous avons regardé la partie acoustique dans le cas d'un tablier (structure métallique derrière le tableau de bord) en magnésium. En effet, le confort acoustique à l'intérieur des voitures est devenu un argument de marketing d'une grande importance. Le tablier en séparant le compartiment moteur, source de bruit, de l'habitacle, joue un rôle important dans l'isolation acoustique de l'intérieur de la voiture. Ainsi le passage d'un tablier en acier à un tablier en Mg ne doit pas entraîner une baisse de performance. Dans ce travail, nous avons d'abord effectué une revue de la littérature sur les types de traitements acoustiques utilisés dans l'industrie automobile ainsi que des différentes techniques de leur modélisation. Nous avons ensuite comparé les performances acoustiques du tablier en Mg sur lequel on a appliqué des traitements classiques (à une couche, deux couches et trois couches) à celles des tabliers en acier et en aluminium et ce, à masse surfacique, raideur et/ou fréquences de résonnances égales. Finalement nous avons optimisé différents concepts de traitements acoustiques innovants appliqués sur le tablier en Mg en vue d'avoir des performances acoustiques semblables ou supérieures à celles du tablier en acier classique. L'optimisation s'est faite à partir d'un modèle SEA (Statitical Energy Analysis) couplé à un code d'optimisation basé sur un algorithme génétique||Abstract : This work is part of the MFERD (Magnesium Front End Research and Development) project which goal is to develop enabling technologies for the use of magnesium alloys as a principal structural material for cars (mainly made in steel which is four time heavier than magnesium) in order to reduce their mass for both, environmental and security concerns. In this work we have focused on the acoustic part, in the case of a magnesium alloy dash panel. The dash board, by separating the engine compartment from the interior cabin, plays a critical role in the insulation of the car interior. Since the acoustic comfort inside the car has become a marketing argument of great importance, the passage from steel to magnesium dash panel should not deteriorate acoustic performances. In this work, we first conducted a literature review on the types of acoustic treatments used in the automotive industry as well as various techniques of their modeling. We then compared the acoustic performances of a Mg dash with attached traditional acoustic treatments (single-layer, two layers and three layers) to those of a steel and aluminum dash panels with the same mass density, stiffness and/or frequency of resonances. Finally, we optimized different concepts of innovative sound packages applied on the Mg dash panel to achieve a noise performance similar or superior to those of a conventional steel dash. The optimization was done using a SEA (Statitical Energy Analysis) model, coupled with an optimization code based on a genetic algorithm.
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Ramalingam, Srinivasan. "SIMULATION AND EXPERIMENTAL VALIDATION OF AIRBORNE AND STRUCTURE-BORNE NOISE TRANSMISSION IN HVAC PLENUMS." UKnowledge, 2012. http://uknowledge.uky.edu/me_etds/6.

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This research demonstrates the usage of numerical acoustics to model sound and vibrational energy propagation in HVAC ducts and plenums. Noise and vibration in HVAC systems propagates along three primary paths that can be classified as airborne direct, airborne indirect and structure-borne. The airborne direct path was simulated using acoustic FEM with special boundary conditions to handle the diffuse acoustic field loading and the baffled termination. The insertion loss for a number of different plenum geometries was compared to published measurement results. Results were in good agreement both below and above the cutoff frequency. Additionally, the airborne indirect path, often termed breakout noise by the HVAC community, was assessed using Statistical Energy Analysis (SEA). This path was examined experimentally by placing a loudspeaker inside the air handler and measuring the sound power transmitted through the walls. SEA results compared favorably with the measured results in one-third octave bands even at low frequencies. Finally, the structure-borne path was considered by exciting the walls of the aforementioned air handler using an electromagnetic shaker. The panel vibration and the sound power radiated from the panels were measured. Results were compared with the SEA with good agreement provided that SEA loss factors were determined experimentally.
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Maxit, Laurent. "Extension et reformulation du modèle SEA par la prise en compte de la répartition des énergies modales." Phd thesis, INSA de Lyon, 2000. http://tel.archives-ouvertes.fr/tel-00777764.

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Résumé Dans cette thèse, on propose une approche permettant d'étendre le domaine de validité de la méthode SEA (Statistical Energy Analysis). Elle repose sur une double formulation modale et une reformulation du modèle SEA en ne posant pas l'hypothèse d'équirépartition des énergies modales. La double formulation modale qui est décrite dans le cas général du couplage de systèmes continus tridimensionnels, consiste en une décomposition modale non standard faisant intervenir une double formulation contrainte-déplacement. Les équations modales obtenues sont alors en cohérence avec le modèle supposé de la SEA et se caractérisent à partir des modes des sous-systèmes découplés. Le modèle SmEdA qui découle de la reformulation de la SEA permet d'améliorer la qualité de la prédiction, notamment quand le recouvrement modal est faible ou quand les sous-systèmes sont excités localement. Un des points forts de l'approche proposée est qu'elle peut être facilement associée à une démarche SEA. Il est possible d'appliquer le modèle SmEdA uniquement pour les couplages des sous-systèmes où une amélioration de la prédiction peut être présumée obtenue, et utiliser le modèle SEA pour les autres couplages. L'application du modèle SmEdA à des structures industrielles est possible grâce à l'utilisation de modèles Eléments Finis des sous-systèmes. En supposant l'hypothèse d'équirépartition respectée, il découle de cette approche une nouvelle technique de calcul des facteurs de perte par couplage SEA. Celle-ci ne requière que le calcul des modes des sous-systèmes découplés par Éléments Finis. Les facteurs SEA sont alors obtenus par identification des coefficients des équations modales, sans les résoudre.
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Books on the topic "SEA Statistical energy analysis"

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F, Peretti Linda, and United States. National Aeronautics and Space Administration., eds. Asymptotic modal analysis and statistical energy analysis. [Washington, DC: National Aeronautics and Space Administration, 1990.

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United States. National Aeronautics and Space Administration., ed. Asymptotic model analysis and statistical energy analysis. [Washington, DC: National Aeronautics and Space Administration, 1992.

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Fahy, F. J., and W. G. Price, eds. IUTAM Symposium on Statistical Energy Analysis. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7.

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James, P. P. Weak coupling in statistical energy analysis. Southampton, England: University of Southampton, Institute of Sound and Vibration Research, 1994.

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Keane, Andrew John. Statistical energy analysis of engineering structures. Uxbridge: Brunel University, 1988.

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G, DeJong Richard, and Lyon Richard H, eds. Theory and application of statistical energy analysis. 2nd ed. Boston: Butterworth-Heinemann, 1995.

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Craik, Robert J. M. Sound transmission through buildings: Using statistical energy analysis. Aldershot, England: Gower, 1996.

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Quantum ecology: Energy structure and its analysis. London: Scada Publishing, 2013.

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Orlóci, László. Quantum ecology: Energy structure and its analysis. 2nd ed. London: SCADA Publishing, 2014.

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Pinhorn, Paul. Vessel analysis computing system (ENER SEA). St. John's, Nfld: Dept. of Fisheries and Oceans, Fisheries Development Branch, 1986.

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Book chapters on the topic "SEA Statistical energy analysis"

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Manik, Dhanesh N. "Statistical Energy Analysis (SEA)." In Vibro-Acoustics, 389–451. Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315156729-10.

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Rindel, Jens Holger. "Statistical energy analysis, SEA." In Sound Insulation in Buildings, 189–202. Boca Raton : CRC Press, [2018]: CRC Press, 2017. http://dx.doi.org/10.1201/9781351228206-8.

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Lalor, N. "The Practical Implementation of SEA." In IUTAM Symposium on Statistical Energy Analysis, 257–68. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_23.

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Heron, K. H. "Predictive SEA Using Line Wave Impedances." In IUTAM Symposium on Statistical Energy Analysis, 107–18. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_10.

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Craik, Robert J. M. "Sound Transmission Through Buildings Using Sea." In IUTAM Symposium on Statistical Energy Analysis, 337–48. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_30.

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Langley, R. S. "Some Perspectives on Wave-Mode Duality in Sea." In IUTAM Symposium on Statistical Energy Analysis, 1–12. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_1.

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Manning, Jerome E. "Sea Coupling Factors for Regular and Irregular Structures." In IUTAM Symposium on Statistical Energy Analysis, 143–52. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_13.

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Fahy, F. J., and P. P. James. "An Indicator of Coupling Strength between SEA Subsystems." In IUTAM Symposium on Statistical Energy Analysis, 233–44. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_21.

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Cabos, C. "Short Communication on Sea Applied to Ship Structures." In IUTAM Symposium on Statistical Energy Analysis, 351–52. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_32.

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Honda, I., and K. Ohta. "Prediction of Structure Borne Sound of Low Modal Density Structure by Using Sea." In IUTAM Symposium on Statistical Energy Analysis, 153–62. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_14.

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Conference papers on the topic "SEA Statistical energy analysis"

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Radcliffe, Clark J., and Xian Li Huang. "Putting Statistics Into the Statistical Energy Analysis of Automotive Vehicles." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0248.

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Abstract Sound and vibration transmission modeling methods are important to the design process for high quality automotive vehicles. Statistical Energy Analysis (SEA) is an emerging design tool for the automotive industry that was initially developed in the 1960’s to estimate root-mean-square sound and vibration levels in structures and interior spaces. Although developed to estimate statistical mean values, automotive design application of SEA needs the additional ability to predict statistical variances of the predicted mean values of sound and vibration. This analytical ability would allow analysis of vehicle sound and vibration response sensitivity to changes in vehicle design specifications and their statistical distributions. This paper will present an algorithm to extend the design application of the SEA method through prediction of the variances of RMS responses of vibro-acoustic automobile structures and interior spaces from variances in SEA automotive model physical parameters. The variance analysis is applied to both a simple, complete illustrative example and a more complex automotive vehicle example. Example variance results are verified through comparison with a Monte Carlo test of 2,000 SEA responses whose physical parameters were given Gaussian distributions with means at design values. Analytical predictions of the response statistics agree with the statistics generated by the Monte Carlo method but only require about 1/300 of the computational effort.
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Hough, Elise, and Zahra Sotoudeh. "Statistical Energy Analysis of Vibrating Structures With Energy and Entropy." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-69640.

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Abstract We present a complete thermodynamic analogy of statistical energy analysis (SEA) using entropy and energy for both linear and nonlinear coupled systems. We will use Khinchin’s Entropy as our statistical entropy definition from statistical mechanics. This framework allows for the restrictive assumptions of linearity to be removed from this analysis method. We will use the classical definition of entropy to relate entropy to Vibrational Temperature. Using Khinchin’s statistical definition of entropy for a vibrating system, we will define a Vibrational Temperature as a function of energy. Hence, we will derive all that is necessary to construct the SEA power flow equation along with the transient coupling loss factors without any linearity assumption. With this method one can expand SEA to nonlinear transient coupled systems. We will verify our proposed method using Monte Carlo Simulation and published analytical closed form solutions.
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Wu, Xian-Jun, Jian-Hua Cao, and Shi-Jian Zhu. "A Rectified Statistical Energy Analysis Method Using Finite Element Analysis." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13867.

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Two parameters, namely modal number (Nm) and modal overlap factor (Mo), are used as the indicators of the reliability of SEA prediction. It is suggested that Mo>1 and Nm>5 can be used to judge if the SEA prediction is reliable in prediction of plate vibration. In the mid-frequency, those conditions are hard to satisfy. Although it takes long time and great expense and even it is impossible to apply finite element analysis to the whole structure, it is economically to calculate a local single part and coupled parts. If the value of input power and coupling loss factor can be replaced by the value calculated by FEM, the precision of SEA can be greatly improved. Calculation example was given and the validity was proved.
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Chowdhury, Srinjoy Nag, and Saniya Dhawan. "Statistical analysis of sea surface temperature for best fit." In 2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC). IEEE, 2016. http://dx.doi.org/10.1109/iccpeic.2016.7557223.

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Byam, Brooks P., and Clark J. Radcliffe. "Statistical Energy Analysis Model and Connectors for Automotive Vibration Isolation Mounts." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0465.

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Abstract Consumer comfort is a top priority in today’s vehicle design. Reduction of noise and vibration enhances comfort and improves the overall quality of the vehicle. Linear elastic vibration isolation mounts are traditionally applied within complex structures to combat noise and vibration. Statistical Energy Analysis (SEA) is becoming an established and tested noise and vibration modeling methodology that is frequently used to model the flow of noise and vibration in complex structures. A SEA model of a linear elastic vibration isolation mount is developed here which enables SEA analysis of elastically isolated systems for the first time. A vibration isolation mount model has been absent from SEA models because of the lack of an SEA formulation. Linear elastic vibration isolation mount SEA equations are developed here for the first time. The basis of SEA theory is energy sharing among vibrational mode groups. Traditionally, vibration isolation mounts were thought of as compliant elements with no modes suitable to SEA analysis. An example mount is defined and the number of energy storage modes computed. The results show that a linear elastic vibration isolation mount should be modeled in SEA analysis and provide the equations for a SEA isolation mount model. Also included is the analysis for three unique SEA connectors, a mount to acoustic volume connector, a beam to mount connector, and a mount to flat plate connector.
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Ajavakom, Nopdanai, and Pinporn Tanthanasirikul. "Statistical Energy Analysis on Vibrational Energy Transmission in Hard Disk Drive Components." In ASME 2013 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/isps2013-2882.

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One of the problems found in the 2.5-inch hard disk drives (HDD) in operation is its vibration. Aiming to find important information to help reduce the vibration transmitted to the outer shell of HDD, the parameters involving vibrational energy transmission among the main components of HDD are identified by the test-based Statistical Energy Analysis (SEA). First, the vibration tests of HDD in the idle mode are performed in order to identify the contribution of the main components; the platters and the top cover, to the overall vibration of HDD. Second, the SEA parameters including the dissipation loss factors of the components and coupling loss factors of the pairs of the components are then experimentally determined in order to calculate the vibration transmission power among the components.
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Lu, L. K. H., and M. Mitchell. "Gas Turbine Acoustic Enclosure Design by the Statistical Energy Analysis Method." In ASME 1994 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/94-gt-354.

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Acoustic enclosure design is a complex problem that involves the interaction of multiple components. Yet the present conventional approach uses two-dimensional closed form solution to evaluate transmission loss of acoustic wall. In this paper, Statistical Energy Analysis (SEA) was first studied for simple cases of radiation efficiency, transmission loss, and flanking path calculations. The effectiveness of the SEA method for complex system was then demonstrated through a practical design application to gas turbine enclosure. It was found that SEA was a useful tool for gas turbine acoustic enclosure design.
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van Beek, Pieter J. G., and Jan P. M. Smeulers. "High Frequency Statistical Energy Analysis Applied to Fluid Filled Pipe Systems." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97280.

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In pipe systems, carrying gas with high velocities, broadband turbulent pulsations can be generated causing strong vibrations and fatigue failure, called Acoustic Fatigue. This occurs at valves with high pressure differences (i.e. chokes), relief valves and obstructions in the flow, such as sharp bends and T-branches. Characteristic for the turbulent sources is the strong and broadband excitation caused by turbulent flow, complex acoustic response and vibrations. The traditional approach to calculate the response per resonance frequency. This brute force method is too (computational) time consuming and perhaps even not feasible. As an alternative probabilistic methods can be used. The Statistical Energy Analysis (SEA) is such a method, which only assumes statistical knowledge. The method is particularly suited for modeling multi-modal structural-acoustic systems, excited at frequencies well above their fundamental natural frequencies. To validate the SEA approach for fluid filled pipe systems, in this paper first a well-defined laboratory setup is presented: SEA results, structural-acoustic coupled FEM results and experimental results are compared. After that the SEA approach is used to assess the mechanic integrity of a complex subsea installation, from which also a very elaborate structural-acoustic FE model is available.
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Gur, Yuksel, Jian Pan, and David Wagner. "Sound Package Development for Lightweight Vehicle Design using Statistical Energy Analysis (SEA)." In SAE 2015 Noise and Vibration Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-01-2302.

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Wang, Shuo, and Robert Bernhard. "Energy Finite Element Method (EFEM) and Statistical Energy Analysis (SEA) of a Heavy Equipment Cab." In Noise & Vibration Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-1705.

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Reports on the topic "SEA Statistical energy analysis"

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Maidanik, G., and K. J. Becker. Are the Energy Analysis (EA) and the Statistical Energy Analysis (SEA) Compatible? Fort Belvoir, VA: Defense Technical Information Center, November 2003. http://dx.doi.org/10.21236/ada419012.

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Kim, Joseph, and Patricia McCarthy. Evaluation of Sustainability Determinants to Develop a Sustainability Rating System for California Infrastructure Construction Projects. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2142.

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This study evaluates the important sustainability determinants that affect factors’ success in meeting their sustainability goals when conducting infrastructure construction projects in California. The study implemented the online survey method to evaluate the sustainability characteristics that infrastructure industry professionals currently are aware of under the current situation in California. A data set of 25 validated survey responses is used for statistical data analysis using analysis of variables, Kruskal-Wallis tests, and two sample t-tests. The analysis results showed that the median response values for the six major sustainability categories do not show any significant difference. The results also showed that no statistically significant difference in the mean response values can be found from the six major sustainability categories considered. Based on the pairwise comparison results, only the other category showed a difference with water- and energy-related categories. However, mean ranks among the factors under each category are useful in prioritizing the importance of the factors considered, which will be useful for the successful implementation of sustainability in infrastructure construction projects in California. These results are meaningful for legislators and transportation agencies because they provide insights about the sustainability criteria relevant to infrastructure construction projects for better informed decisions about how to meet the projects’ sustainability goals.
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Middleton, D. Threshold detection of radar signals off the sea surface in non-Gaussian clutter and deterministic interference: II - statistical analysis of ROI surface data. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/245552.

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Pigni, Marco. R-MATRIX ANALYSIS AND STATISTICAL PROPERTIES OF DYSPROSIUM ISOTOPES IN THE NEUTRON ENERGY RANGES UP TO A FEW KEV. Office of Scientific and Technical Information (OSTI), June 2023. http://dx.doi.org/10.2172/1987785.

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Gagne, Douglas, Scott Haase, Brett Oakleaf, David Hurlbut, Sertac Akar, Anna Wall, Craig Turchi, Philip Pienkos, Jennifer Melius, and Marc Melaina. The Potential for Renewable Energy Development to Benefit Restoration of the Salton Sea. Analysis of Technical and Market Potential. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1227956.

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Leal, L. C. R-MATRIX RESONANCE ANALYSIS AND STATISTICAL PROPERTIES OF THE RESONANCE PARAMETERS OF 233U IN THE NEUTRON ENERGY RANGE FROM THERMAL TO 600 eV. Office of Scientific and Technical Information (OSTI), February 2001. http://dx.doi.org/10.2172/777670.

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Linda Stetzenbach, Lauren Nemnich, and Davor Novosel. Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States. Office of Scientific and Technical Information (OSTI), August 2009. http://dx.doi.org/10.2172/1004553.

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Derrien, H. NEUTRON TOTAL CROSS SECTIONS OF 235U FROM TRANSMISSION MEASUREMENTS IN THE ENERGY RANGE 2 keV to 300 keV AND STATISTICAL MODEL ANALYSIS OF THE DATA. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/815777.

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Price, Roz. Evidence on the Advantages of Low Carbon Growth in Jordan. Institute of Development Studies (IDS), August 2021. http://dx.doi.org/10.19088/k4d.2021.117.

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There has been a considerable amount of research generally into the benefits associated with low carbon development, showing that it can be synergistic with development priorities – such as job creation, improved public health, social inclusion and improved accessibility (see for example, Gouldson et al., 2018). However, this rapid review finds limited evidence and information around these benefits specifically for the Hashemite Kingdom of Jordan. There has been much interest in green growth in Jordan in the last ten years, particularly as Jordan is seen as having a large renewable energy potential for solar and wind. International organisations have been working with Jordan to develop comprehensive national plans and strategies to encourage green growth investment. Within the Jordanian government, the green growth concept has mainly been promoted by the Ministry of Environment. The World Bank in particular has produced a number of reports that have fed into this review, that explore or touch on green growth in Jordan – however, they themselves recognise that there is a lack of research on the economic and job-generating impacts of a green growth pathway in Jordan, and emphasise the need for further analysis (see specifically Hakim et al., 2017). Many of the green growth statistics referenced are from single reports undertaken a number of years ago – for example, that environmental degradation costs Jordan 2% of its GDP per year comes from a World Bank report written in 2010 and based on data from 2006 (World Bank, 2010). No more recent reviews were found during this rapid review. This review draws on a mixture of academic and grey literature from government and international organisations.
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Derrien, H., J. A. Harvey, N. M. Larson, L. C. Leal, and R. Q. Wright. Neutron Total Cross Sections of {sup 235}U From Transmission Measurements in the Energy Range 2 keV to 300 keV and Statistical Model Analysis of the Data. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/763240.

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