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Author (up) Bevilacqua, M.; Caamano-Carrillo, C.; Arellano-Valle, R.B.; Gomez, C.
Title A class of random fields with two-piece marginal distributions for modeling point-referenced data with spatial outliers Type
Year 2022 Publication Test Abbreviated Journal Test
Volume 31 Issue 3 Pages 644-674
Keywords Asymmetric random fields; Composite likelihood; Spatial outliers; Tukey-h distribution
Abstract In this paper, we propose a new class of non-Gaussian random fields named two-piece random fields. The proposed class allows to generate random fields that have flexible marginal distributions, possibly skewed and/or heavy-tailed and, as a consequence, has a wide range of applications. We study the second-order properties of this class and provide analytical expressions for the bivariate distribution and the associated correlation functions. We exemplify our general construction by studying two examples: two-piece Gaussian and two-piece Tukey-h random fields. An interesting feature of the proposed class is that it offers a specific type of dependence that can be useful when modeling data displaying spatial outliers, a property that has been somewhat ignored from modeling viewpoint in the literature for spatial point referenced data. Since the likelihood function involves analytically intractable integrals, we adopt the weighted pairwise likelihood as a method of estimation. The effectiveness of our methodology is illustrated with simulation experiments as well as with the analysis of a georeferenced dataset of mean temperatures in Middle East.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1133-0686 ISBN Medium
Area Expedition Conference
Notes WOS:000739261700001 Approved
Call Number UAI @ alexi.delcanto @ Serial 1518
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Author (up) Norambuena-Contreras, J.; Gonzalez-Torre, I.; Vivanco, J.F.; Gacitua, W.
Title Nanomechanical properties of polymeric fibres used in geosynthetics Type
Year 2016 Publication Polymer Testing Abbreviated Journal Polym. Test
Volume 54 Issue Pages 67-77
Keywords Polymeric fibres; Geosynthetics; Nanomechanical properties; Nanoindentation; Damage evaluation
Abstract Geosynthetics are composite materials manufactured using different types of polymeric fibres, usually employed as anti-reflective cracking systems in asphalt pavements. Materials that compose geosynthetics can be damaged due to mechanical and thermal effects produced during the installation process under hot mix asphalts. In this paper, different polymeric fibres extracted from geosynthetics have been evaluated using nanoindentation tests. The main objective was to evaluate the effect of installation process (dynamic compaction and thermal damage) on the mechanical behaviour of individual polymeric fibres at nano-scale. To do this, elastic modulus (E) and hardness (H) of three different polymeric fibres commonly used in geosynthetics (polypropylene, polyester and polyvinyl-alcohol), in two testing directions and under two different states have been studied. Main conclusions of this work are that mechanical properties of geosynthetics individual fibres can change after installation, producing changes in the behaviour of geosynthetics at macro-scale with consequences in the pavement functionality, and that these changes are different depending on the material that composed the fibres. (C) 2016 Elsevier Ltd. All rights reserved.
Address [Norambuena-Contreras, J.; Gonzalez-Torre, I.] Univ Bio Bio, LabMat UBB, Dept Civil & Environm Engn, Concepcion, Chile, Email: irene.gonzaleztorre@gmail.com
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 0142-9418 ISBN Medium
Area Expedition Conference
Notes WOS:000382798300009 Approved
Call Number UAI @ eduardo.moreno @ Serial 651
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