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Wyszukujesz frazę "Segovia, J." wg kryterium: Autor


Tytuł:
Numerical Evaluation of the Vibration Reduction Index for Structural Joints
Autorzy:
Ramis, J.
Segovia, E.
Alba, J.
Carbajo, J.
Godinho, L.
Tematy:
finite element model
vibration reduction
structural joints
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/177736.pdf  Link otwiera się w nowym oknie
Opis:
The present paper addresses the analysis of structural vibration transmission in the presence of struc- tural joints. The problem is tackled from a numerical point of view, analyzing some scenarios by using finite element models. The numerical results obtained making use of this process are then compared with those evaluated using the EN 12354 standard vibration reduction index concept. It is shown that, even for the simplest cases, the behavior of a structural joint is complex and evidences the frequency dependence. Comparison with results obtained by empirical formulas reveals that those of the standards cannot accurately reproduce the expected behavior, and thus indicate that alternative complementary calculation procedures are required. A simple methodology to estimate the difference between numerical and standard predictions is here proposed allowing the calculation of an adaptation term that makes both approaches converge. This term was found to be solution-dependent, and thus should be evaluated for each structure.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Experimental Approach to Vibro-Acoustic Study of Beam-Type Structures
Autorzy:
Torres-Romero, J.
Cardenas, W.
Carbajo, J.
Segovia Eulogio, E. G.
Ramis-Soriano, J.
Tematy:
beam
modal shape
modal analysis
MLS
Maximum Length Sequence
bending wave propagation velocity
Pokaż więcej
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:
https://bibliotekanauki.pl/articles/178014.pdf  Link otwiera się w nowym oknie
Opis:
In this paper an alternative procedure to vibro-acoustics study of beam-type structures is presented. With this procedure, it is possible to determine the resonant modes, the bending wave propagation velocity through the study of the radiated acoustic field and their temporal evolution in the frequency range selected. As regards the purely experimental aspect, it is worth noting that the exciter device is an actuator similar to is the one employed in distributed modes loudspeakers; the test signal used is a pseudo random sequence, in particular, an MLS (Maximum Length Sequence), facilitates post processing. The study case was applied to two beam-type structures made of a sandstone material called Bateig. The experimental results of the modal response and the bending propagation velocity are compared with well-established analytical solution: Euler-Bernoulli and Timoshenko models, and numerical models: Finite Element Method – FEM, showing a good agreement.
Dostawca treści:
Biblioteka Nauki
Artykuł
Autorzy:
Pire, B.
Tripathi, S.
Antonioli, P.
Flore, C.
Hauenstein, F.
Moiseev, V.
Stewart, I.W.
Jezo, T.
Li, S.
Bozzi, G.
Santopinto, E.
Bacchetta, A.
Higinbotham, D.W.
Širca, S.
Dasgupta, S.S.
Noferini, F.
Bissolotti, C.
Soto, O.
Gay Ducati, M.B.
Wei, S.Y.
Xie, J.
El Fassi, L.
Moutarde, H.
Evdokimov, O.
Fernandez-Ramirez, C.
Baker, M.D.
Pasquini, B.
Terry, J.
Zhang, J.
Bufalino, S.
Tezgin, K.
Seidl, R.
Collins, J.L.
Liu, X.
Gao, H.
Krelina, M.
Fanelli, C.
Paukkunen, H.
Van Hulse, C.
Kalantarians, N.
Stutzman, M.L.
Battaglieri, M.
Wallon, S.
Zheng, L.
Lappi, T.
Kumar, K.S.
Goncalves, V.P.
Klasen, M.
Hohlmann, M.
Cisbani, E.
Olness, F.
Poblaguev, A.A.
Ringer, F.
Mkrtchyan, H.
Mondal, M.M.
Mehtar-Tani, Y.
Surrow, B.
Sato, N.
Chudakov, E.
Dumitru, A.
Tu, Z.
Gonella, L.
Ullrich, T.
Kalicy, G.
Morreale, A.
Woody, C.
Lunghi, E.
Mkrtchyan, A.
Sherrill, N.
Kumar, L.
Tuvè, C.
Dalla Torre, S.
Keppel, C.E.
Hen, O.
Kiselev, A.
Cosyn, W.
Durham, J.M.
Contin, G.
Preghenella, R.
Kim, J.
Schweitzer, P.
Chatterjee, C.
Pegg, I.L.
Brei, N.
Kutak, K.
Torales Acosta, F.
Furletov, S.
Dilks, C.
Wang, X.
Celentano, A.
Romanov, D.
Ethier, J.J.
Schnell, G.
Detmold, W.
Brooks, W.K.
Kotko, P.
Liyanage, N.
Bhattacharya, S.
Barion, L.
Fitzgerald, D.
Petti, R.
Schenke, B.
Janoska, Z.
Murray, M.J.
Purschke, M.L.
Bazilevsky, A.
Jadhav, M.
Pecar, C.
Colella, D.
Fazio, S.
Rossi, P.
Abdul Khalek, R.
Posik, M.
Song, Y.
Boglione, M.
Zhang, Z.
Singh, B.K.
Chen, K.
Wikramanayake, A.
Da Silva, C.
Lee, K.
Reimer, P.E.
Brandenburg, J.D.
Mantry, S.
Lai, Y.S.
Glazier, D.I.
Adamiak, D.
Delcarro, F.
Schmookler, B.
Eyser, K.O.
Pitonyak, D.
Peng, C.
Nam, J.
Valentini, A.
Liuti, S.
Gonzalez Hernandez, J.O.
Bukhari, M.H.S.
Musico, P.
Sterman, G.
Sichtermann, E.
Volpe, G.
Kuleshov, S.
Potekhin, M.
Muñoz Camacho, C.
Scopetta, S.
Rinaldi, M.
Greiner, L.C.
Hyde, C.E.
Liu, H.
Wang, Q.
Lukow, N.S.
Sassot, R.
Slifer, K.
Hiller Blin, A.N.
Kang, Z.B.
Dehmelt, K.
Szymanowski, L.
Vitev, I.
Słomiński, Wojciech
Kauder, K.
Petriello, F.
Cicala, G.
Zurita, P.
Mäntysaari, H.
Mirazita, M.
Chien, Y.-T.
Xu, Q.H.
Rajput-Ghoshal, R.
Gericke, M.
Kay, S.J.D.
Mastroserio, A.
Crafts, J.
Aune, S.
Kostina, A.
Xiao, B.W.
Behera, N.K.
Joosten, S.
Signori, A.
Stepanov, P.
Celiberto, F.G.
Pilloni, A.
Lawrence, D.
Klest, H.T.
Tassielli, G.F.
Borsa, I.
Mendez, L.
Xing, H.
Finger, M.
Lu, Z.
Gil Da Silveira, G.
Voutier, E.
Osborn, J.D.
Sekula, S.
Li, H.
Bossù, F.
Nguyen, D.
Weiss, C.
Vossen, A.
Jacak, B.V.
Guzey, V.
Cuevas, R.C.
Lalwani, K.
Pinkenburg, C.
Camsonne, A.
Al-bataineh, A.
Mandjavidze, I.
Akers, W.
Li, W.
Gnanvo, K.
Dixit, D.U.
Frederico, T.
Echevarria, M.G.
Bondì, M.
Cocuzza, C.
Lucero, G.
Rojo, J.
Chiarusi, T.
Sznajder, P.
Prokudin, A.
Dulat, S.
Klein, S.
Wenaus, T.
Constantinou, M.
Ameli, F.
Vladimirov, A.
Cloet, I.C.
Okorokov, V.A.
Stevens, J.R.
Page, B.S.
Schmidke, W.B.
Barish, K.N.
Radici, M.
Szczepaniak, A.
Hattawy, M.
Hemmick, T.K.
Strikman, M.
Esha, R.
Tsai, O.D.
Gaskell, D.
Chang, W.
Cruz-Torres, R.
Defurne, M.
Del Dotto, A.
Horn, T.
Tribedy, P.
Mochalov, V.
Tapia Takaki, J.D.
Tadepalli, A.S.
Rodini, S.
Mihovilovič, M.
Li, X.
Asai, M.
Perrino, R.
Korchak, O.
Melnitchouk, W.
Schmidt, A.
Ayerbe Gayoso, C.
Metz, A.
Liu, M.X.
Azmoun, B.
Murgia, F.
Jacobs, P.M.
Armesto, N.
Boer, D.
Deconinck, W.
Lee, C.
He, X.
Kovchegov, Y.V.
Parker, A.
Albaladejo, M.
Makris, Y.
Spiesberger, H.
Segovia, J.
Huang, Q.
Lavinsky, M.
Nocera, E.R.
Nunes, A.S.
Meziani, Z.-E.
Roberts, C.D.
Contalbrigo, M.
Sarsour, M.
Paschke, K.
Mezrag, C.
Friščić, I.
Gates, K.
Majka, R.
Marhauser, F.
Sullivan, M.
Pujahari, P.
Chu, X.
Guryn, W.
Schwiening, J.
Buttimore, N.H.
Semenov-Tian-Shanskiy, K.
Ilieva, Y.
Pybus, J.R.
Girod, F.-X.
Triloki,
Winney, D.
Varner, G.
Avagyan, H.
Vancura, P.
Xia, L.
Zhao, Z.W.
Lauret, J.
Jentsch, A.
Joo, K.
Noto, F.
Gal, C.
Cole, P.L.
Adam, J.
Berdnikov, V.V.
Wickramaarachchi, N.
Courtoy, A.
Bertone, V.
Strakovsky, I.
Zhao, Y.X.
Furletova, Y.
Kumar, R.
Vandenbroucke, M.
Bernauer, J.C.
Heyes, G.
Szumila-Vance, H.
Pisano, C.
Kang, D.
Morrison, D.
Li, W.B.
Chiosso, M.
Ent, R.
Goto, Y.
Sturm, M.
Milner, R.
Tessarotto, F.
Barry, P.C.
Polakovic, T.
Arratia, M.
Hobbs, T.J.
Bressan, A.
Kumano, S.
Barbosa, F.
Gamberg, L.
Boora, P.
Scimemi, I.
Accardi, A.
Hou, T.-J.
Preins, S.
Wagner, J.
Asaturyan, A.
Marsicano, L.
Sondheim, W.E.
Neyret, D.
Wang, H.
Shao, D.Y.
Nadolsky, P.M.
Fatemi, R.
Trotta, R.L.
Nadel-Turonski, P.
Alexeev, M.G.
Lorcé, C.
Syritsyn, S.
Schmidt, I.
Pentchev, L.
Svihra, P.
Kumerički, K.
Venugopalan, R.
Jing, X.
Ungaro, M.
Wong, C.P.
Sokhan, D.
Tomasek, L.
Burkert, V.
Das, D.
Motyka, Leszek
Benmokhtar, F.
Markowitz, P.
Arrington, J.
Pellegrino, C.
Huang, J.
Deshpande, A.
Chetry, T.
Elia, D.
Aschenauer, E.C.
Levorato, S.
Huber, G.M.
Park, S.
Lednicky, D.
Paul, S.
De Vita, R.
Jones, P.G.
Hatta, Y.
Iakovidis, G.
DeGraw, W.
Corliss, R.
Garg, P.
Lee, S.H.
Tricoli, A.
Ligonzo, T.
Kafka, V.
Armstrong, W.R.
Siddikov, M.
Mathieu, V.
Kusina, A.
Grancagnolo, F.
Fucini, S.
Dupré, R.
Zhang, S.
Urciuoli, G.M.
D'Alesio, U.
Stasto, A.M.
Diefenthaler, M.
Newman, P.R.
Zhou, Y.
Wennlöf, H.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł
Tytuł:
Computational approaches to Explainable Artificial Intelligence : advances in theory, applications and trends
Autorzy:
Jimenez-Mesa, C.
Nalepa, Grzegorz
Macas, B.
Martínez-Tomás, R.
Rodríguez-Rodríguez, I.
Marrero-Aguiar, V.
Palma, J.
Varela, R.
Bonomini, P.
Salas-Gonzalez, D.
Barakova, E.
Bologna, G.
Graña, M.
Mekyska, J.
Martinez-Murcia, F.J.
García González, J.
Ortiz, A.
Pinninghoff, M.A.
Silva, M.
Gallego-Molina, N.J.
Wang, S.H.
Zhu, H.
Gómez-Vilda, P.
Simic, D.
Zhu, Z.
Palacios-Alonso, D.
Tsanas, A.
Zhang, Y.D.
Garre, C.
Roelofsma, P.H.M.P.
Atzmueller, M.
Julian, V.
Gamazo, J.
Gómez-Rodellar, A.
Shoeibi, A.
Ballarini, F.
Contreras, R.
Kutt, Krzysztof
Ramírez, J.
Psarrou, A.
Pereira, A.
Rincón, M.
Garcia-Rodriguez, J.
Suckling, J.
Castillo-Barnes, D.
Cuadra, J.M.
Domínguez-Mateos, F.
de Lope, J.
Santos, J.
Guerrero-Rodriguez, B.
Álvarez-Marquina, A.
Wang, W.
Górriz, J.M.
Rodellar-Biarge, V.
Orellana, D.
Fernandez-Jover, E.
Castellanos-Dominguez, G.
Cho, S.B.
Elizondo, D.
Treur, J.
Duro, R.J.
Arco, J.E.
Salcedo-Lagos, P.
Ferrández-Vicente, J.M.
Martinez, J.J.
Hendrikse, S.C.F.
Fernández-Caballero, A.
Álvarez-Illán, I.
Domínguez, E.
Pinacho-Davidson, P.
Garrigós, J.
Jodra-Chuan, M.
Novais, P.
Kotz, G.
Formoso, M.A.
Segovia, F.
Ponticorvo, M.
Leming, M.
Opis:
Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.
Dostawca treści:
Repozytorium Uniwersytetu Jagiellońskiego
Artykuł

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