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http://hdl.handle.net/10553/54815
Título: | A procedure for improving the acoustic efficiency of top-edge devices on noise barriers: An application of genetic algorithms and boundary elements | Autores/as: | Toledo Quintana, Rayco Aznárez, Juan J. Maeso, Orlando Greiner, David |
Clasificación UNESCO: | 3305 Tecnología de la construcción | Palabras clave: | Noise barriers Thick and very thin bodies Shape optimization Genetic algorithms Dual boundary element formulation |
Fecha de publicación: | 2015 | Editor/a: | Springer | Proyectos: | Avances en El Estudio Dinámico de Sistemas Suelo-Estructura y Suelo-Agua-Estructura.Acciones Sísmicas y Propagación de Ondas. Avances en El Estudio de Los Factores Que Determinan la Respuesta de Estructuras Ante Cargas Dinámicas. |
Publicación seriada: | Computational Methods in Applied Sciences | Conferencia: | European Congress on Computational Methods in Applied Sciences and Engineering, (ECCOMAS 2014) | Resumen: | A procedure for improving the acoustic efficiency of barriers featuring top-edge devices is conducted. This methodology is based on the maximization of the insertion loss of candidate profiles proposed by an evolutionary algorithm. The complexity normally associated with these devices raises the need to consider some geometric simplifications in order to ease the shape optimization processes. In this way, the overall barrier configuration is modeled as both thickness and nonthickness bodies (the boundary thickness is neglected), as representatives of very thin elements. Such an idealization requires a complementary formulation to the classical Boundary Element Method (BEM) that allows the problem to be solved. Numerical results are presented both validating the formulation and on the basis of simulations on noise barriers with complex diffuser-type tops by using a 2D Dual BEM code. Results obtained show the suitability of idealizing complex barrier configurations as models featuring thickness and non-thickness boundaries. | URI: | http://hdl.handle.net/10553/54815 | ISBN: | 978-3-319-20405-5 | ISSN: | 1871-3033 | DOI: | 10.1007/978-3-319-20406-2_7 | Fuente: | Evolutionary Algorithms and Metaheuristics in Civil Engineering and Construction Management / Jorge Magalhães-Mendes; David Greiner (eds.). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 39, p. 105-125 |
Colección: | Capítulo de libro |
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