UPV



Mayo 2017


Publicada By  Víctor Yepes Piqueras - Artículo JCR    

Descargar (PDF, 1.23MB)

23 Mayo, 2017
 

Publicada By  Víctor Yepes Piqueras - Artículo JCR    

Nos acaban de publicar en línea en la revista Structural and Multidisciplinary Optimization (revista indexada en JCR en el primer cuartil) un trabajo de investigación en el que utilizamos las redes neuronales artificiales junto para el diseño multiobjetivo de puentes postesados de carreteras. Os paso a continuación el resumen y el enlace al artículo por si os resulta de interés. El enlace del artículo es el siguiente: http://link.springer.com/article/10.1007%2Fs00158-017-1653-0

Referencia:

García-Segura, T.; Yepes, V.; Frangopol, D.M. (2017). Multi-objective design of post-tensioned concrete road bridges using artificial neural networks. Structural and Multidisciplinary Optimization, doi:10.1007/s00158-017-1653-0

Abstract:

In order to minimize the total expected cost, bridges have to be designed for safety and durability. This paper considers the cost, the safety, and the corrosion initiation time to design post-tensioned concrete box-girder road bridges. The deck is modeled by finite elements based on problem variables such as the cross-section geometry, the concrete grade, and the reinforcing and post-tensioning steel. An integrated multi-objective harmony search with artificial neural networks (ANNs) is proposed to reduce the high computing time required for the finite-element analysis and the increment in conflicting objectives. ANNs are trained through the results of previous bridge performance evaluations. Then, ANNs are used to evaluate the constraints and provide a direction towards the Pareto front. Finally, exact methods actualize and improve the Pareto set. The results show that the harmony search parameters should be progressively changed in a diversification-intensification strategy. This methodology provides trade-off solutions that are the cheapest ones for the safety and durability levels considered. Therefore, it is possible to choose an alternative that can be easily adjusted to each need.

Keywords:

Multi-objective harmony search; Artificial neural networks; Post-tensioned concrete bridges; Durability; Safety.

Publicada By  Víctor Yepes Piqueras - Artículo JCR    

Niigata soil liquefaction. Wikipedia

La evaluación de la sostenibilidad social de los proyectos no es un tema sencillo ni inmediato. Si bien los impactos medioambientales se han estudiado en el ámbito científico con cierta profundidad, los impactos sociales de las infraestructuras se han investigado mucho menos. Es más, en numerosas ocasiones dichos impactos se han minusvalorado. Pues bien, nos acaban de publicar un artículo en la revista Environmental Impact Assessment Review (revista indexada en el JCR, primer cuartil de impacto) en el cual proponemos una metodología que permite afrontar este reto.

Elsevier permite descargar de forma gratuita este artículo hasta el 14 de junio de 2017 accediendo al siguiente enlace: https://authors.elsevier.com/a/1UxW7iZ5spJDe

Referencia:

SIERRA, L.A.; PELLICER, E.; YEPES, V. (2017). Method for estimating the social sustainability of infrastructure projects. Environmental Impact Assessment Review, 65:41-53. https://doi.org/10.1016/j.eiar.2017.02.004

Highlights:

  • Method to select suitable infrastructure projects from the social sustainability point of view
  • Emphasizes social interactions of the infrastructure in the short and long term
  • Distinguishes the social sustainability of infrastructure projects in different locations
  • Efficiency of a social contribution in terms of early social benefits and a long-term distribution
  • Supports early decision-making of public agencies regarding infrastructure projects

 

Abstract:

Nowadays, sustainability assessments tend to focus on the biophysical and economic considerations of the built environment. Social facets are generally underestimated when investment in infrastructure projects is appraised. This paper proposes a method to estimate the contribution of infrastructure projects to social sustainability. This method takes into account the interactions of an infrastructure with its environment in terms of the potential for short and long-term social improvement. The method is structured in five stages: (1) social improvement criteria and goals to be taken into account are identified and weighed; (2) an exploratory study is conducted to determine transfer functions; (3) each criterion is homogenized through value functions; (4) the short and long-term social improvement indices are established; and finally, (5) social improvement indices are contrasted to identify the socially selected alternatives and to assign an order of priority. The method was implemented in six alternatives for road infrastructure improvement. The results of the analysis show that the method can distinguish the contribution to social sustainability of different infrastructure projects and location contexts, according to early benefits and potential long-term equitable improvement. This method can be applied prior to the implementation of a project and can complement environmental and economic sustainability assessments.

Keywords:

  • Social contribution;
  • Social improvement;
  • Infrastructure;
  • Method;
  • Social sustainability

 

 

Universidad Politécnica de Valencia