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Phase distribution and properties identification of heterogeneous materials: a data-driven approach
dc.contributor.author | Valdés Alonzo, Gabriel Rolando |
dc.contributor.author | Binetruy, Christophe |
dc.contributor.author | Eck, Benedikt |
dc.contributor.author | García González, Alberto |
dc.contributor.author | Leygue, Adrien |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Civil |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2022-05-16T08:10:23Z |
dc.date.available | 2024-02-15T01:28:38Z |
dc.date.issued | 2022-02-15 |
dc.identifier.citation | Valdés, G. [et al.]. Phase distribution and properties identification of heterogeneous materials: a data-driven approach. "Computer methods in applied mechanics and engineering", 15 Febrer 2022, vol. 390, núm. article 114354. |
dc.identifier.issn | 0045-7825 |
dc.identifier.uri | http://hdl.handle.net/2117/367374 |
dc.description | © 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.description.abstract | This paper presents a new methodology to extend the Data-Driven Identification (DDI) to heterogeneous samples made of multiple elastic materials. By using the Correspondence Analysis (CA) technique to post-process DDI, we are able to identify multiple material databases representative of the material behavior of each phase. Simultaneously, we localize the different phases (matrix and inclusions) in the sample. For different contrasts between phases, the method is tested on synthetically generated data and a parametric study is performed. Furthermore, we show that it is possible to iterate between DDI and CA in order to improve the method’s predictions when it is limited by scarce input data. In all the cases studied, the methodology proves to be effective for estimating stresses, as well as for identifying the different phases in the sample. |
dc.description.sponsorship | This project is part of the Marie Sklodowska-Curie ITN-EJD ProTechTion funded by the European Union Horizon 2020 research and innovation program with Grant Number 764636. |
dc.language.iso | eng |
dc.rights | ©2022. Elsevier |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències |
dc.subject.lcsh | Elasticity |
dc.subject.lcsh | Strength of materials |
dc.subject.other | Data-driven computational mechanics |
dc.subject.other | Data-driven identification |
dc.subject.other | Correspondence analysis |
dc.subject.other | Digital image correlation |
dc.subject.other | Composites |
dc.title | Phase distribution and properties identification of heterogeneous materials: a data-driven approach |
dc.type | Article |
dc.subject.lemac | Elasticitat |
dc.subject.lemac | Resistència de materials |
dc.contributor.group | Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria |
dc.identifier.doi | 10.1016/j.cma.2021.114354 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::74 Mechanics of deformable solids::74B Elastic materials |
dc.subject.ams | Classificació AMS::74 Mechanics of deformable solids::74S Numerical methods |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/abs/pii/S0045782521006290?via%3Dihub |
dc.rights.access | Open Access |
local.identifier.drac | 32447507 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/764636/EU/Industrial decision-making on complex production technologies supported by simulation-based engineering/ProTechTion |
local.citation.author | Valdés, G.; Binetruy, C.; Eck, B.; Garcia, A.; Leygue, A. |
local.citation.publicationName | Computer methods in applied mechanics and engineering |
local.citation.volume | 390 |
local.citation.number | article 114354 |
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