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Author Beltran, J.F.; Nunez, E.; Nunez, F.; Silva, I.; Bravo, T.; Moffat, R. pdf  doi
openurl 
  Title Static response of asymmetrically damaged metallic strands: Experimental and numerical approach Type
  Year 2018 Publication Construction And Building Materials Abbreviated Journal Constr. Build. Mater.  
  Volume 192 Issue Pages 538-554  
  Keywords Asymmetric damaged strands; Surface damage; Numerical model; Finite element simulation; Experimental test; Static capacity curve  
  Abstract In this study, the effect of the presence of broken wires (damage) asymmetrically distributed on metallic strands surfaces on their static response is assessed. To this end, a general mechanical model for multi layered strands is presented, in which damaged strands are treated as a 1D nonlinear beam under uncoupled biaxial bending and axial load (NLBM). The NLBM is validated by comparisons with the results obtained from an experimental program especially designed for studying the effect of surface damage distribution on strands response and 3D nonlinear finite element simulations. Analyses are carried out on two strand constructions: 1 x 7 and 1 x 19, in which the damage levels and strand diameters vary from 5% to 40% and from 3.5 mm to 22.2 mm, respectively. Results indicate that the NLBM accurate predicts the static response (residual strength, stiffness, axial strain field, and deformed configuration) of the asymmetrically damaged strands, achieving good computational efficiency and numerical robustness. (C) 2018 Elsevier Ltd. All rights reserved.  
  Address [Felipe Beltran, Juan] Univ Chile, Dept Civil Engn, Blanco Encalada 2002 Of 440, Santiago, Chile, Email: jbeltran@ing.uchile.cl;  
  Corporate Author Thesis  
  Publisher Elsevier Sci Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0950-0618 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000453494600046 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 953  
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Author Caceres, C.; Moffat, R.; Pakalnis, R. pdf  doi
openurl 
  Title Evaluation of flexural failure of sill mats using classical beam theory and numerical models Type
  Year 2017 Publication International Journal Of Rock Mechanics And Mining Sciences Abbreviated Journal Int. J. Rock Mech. Min. Sci.  
  Volume 99 Issue Pages 21-27  
  Keywords Sill mat; Numerical model; Mining; Flexural failure  
  Abstract  
  Address [Caceres, Cristian; Moffat, Ricardo] Univ Adolfo Ibanez, Fac Ingn & Ciencias, Santiago, Chile, Email: cristian.caceres@uai.cl  
  Corporate Author Thesis  
  Publisher Pergamon-Elsevier Science Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1365-1609 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000415594900003 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 793  
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Author Gonzalez, E.; Villena, M.J. doi  openurl
  Title On the spatial dynamics of vaccination: A spatial SIRS-V model Type
  Year 2020 Publication Computers & Mathematics With Applications Abbreviated Journal Comput. Math. Appl.  
  Volume 80 Issue 5 Pages 733-743  
  Keywords Epidemic dynamics; Spatial SIR model; Vaccination strategy; Non-linear system of partial differential equations; Numerical modeling  
  Abstract In this paper, we analyze the effects of vaccination from a spatial perspective. We propose a spatial deterministic SIRS-V model, which considers a non-linear system of partial differential equations with explicit attrition and diffusion terms for the vaccination process. The model allows us to simulate numerically the spatial and temporal dynamics of an epidemic, considering different spatial strategies for the vaccination policy. In particular, in our first example we analyze the classical SIRS-V evolution with the addition of movements due to diffusion, while in the second one we focus on modeling one ring vaccination policy. We expect this model can improve spatial predictions of SIR vaccination models by taking into account the spatial dimension of the problem. (C) 2020 Elsevier Ltd. All rights reserved.  
  Address [Gonzalez, Eduardo] Univ Finis Terrae, Fac Engn, Santiago, Chile, Email: e.gonzalez@ieee.org;  
  Corporate Author Thesis  
  Publisher Pergamon-Elsevier Science Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0898-1221 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000557765800010 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1220  
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