Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/24960
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPatel, Reena R.-
dc.contributor.authorRiveros, Guillermo A.-
dc.contributor.authorThompson, David S.-
dc.contributor.authorAcosta, Felipe J.-
dc.contributor.authorPerkins, Edward J.-
dc.contributor.authorHoover, Jan Jeffrey 1954--
dc.contributor.authorPeters, John F.-
dc.contributor.authorTordesillas, Antoinette.-
dc.date.accessioned2017-10-23T13:31:45Z-
dc.date.available2017-10-23T13:31:45Z-
dc.date.issued2017-10-
dc.identifier.urihttp://hdl.handle.net/11681/24960-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/24960-
dc.description.abstractThe area of bioinspired material design is fairly young and mainly unexploited. This research aims to gain fundamental understanding of the hierarchical lattice architecture in the paddlefish rostrum and use this knowledge to obtain new insights for a wide range of applications. This work presents an integrated, interdisciplinary approach that employs computational mechanics and the theory of network statistics to gain fundamental insights into the failure mechanisms of high performance, lightweight, structured composites by examining the geometry and material properties of the rostrum. Results from computational mechanics simulations and network flow analysis are presented with emphasis on the load transfer mechanism in the Bio-Structure. The structure is formed from a network of structural elements that carries forces through combinations, or chains, of structural members called force chains in reference to similar structures generally observed in granular media. These force chains are often aligned in the principal direction of the external stress to which the system is subjected. The current research presents a flow network analysis of the rostrum with and without the presence of the lattice architecture. Highly localized force chains were formed in the rostrum with similar loading conditions in absence of the lattice architecture. The flow network was also able to capture the stain localization in the tensile region of the rostrum and the asymmetrical response of the rostrum to uniform loading.en_US
dc.description.sponsorshipUniversity of Puerto Rico (Mayagüez Campus)-
dc.description.sponsorshipMississippi State University.-
dc.description.sponsorshipUniversity of Melbourne.-
dc.language.isoenen_US
dc.publisherInformation Technology Laboratory (U.S.)en_US
dc.publisherEnvironmental Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)en_US
dc.relation.ispartofseriesERDC;TR-17-11-
dc.subjectBiomechanicsen_US
dc.subjectStructural analysis (Engineering)en_US
dc.subjectKinematicsen_US
dc.subjectStress concentrationen_US
dc.subjectMorphologyen_US
dc.subjectMaterials--Elastic propertiesen_US
dc.titleEarly detection of failure mechanisms in resilient biostructures : a network flow studyen_US
dc.typeReporten_US
Appears in Collections:Technical Report

Files in This Item:
File Description SizeFormat 
ERDC TR-17-11.pdf5.42 MBAdobe PDFThumbnail
View/Open