Full metadata record
DC FieldValueLanguage
dc.contributor.authorSu, HCen_US
dc.contributor.authorKinzelbach, Wen_US
dc.date.accessioned2014-12-08T15:43:53Z-
dc.date.available2014-12-08T15:43:53Z-
dc.date.issued2001-05-01en_US
dc.identifier.issn0253-3839en_US
dc.identifier.urihttp://hdl.handle.net/11536/29675-
dc.description.abstractTwo fields with random aperture distribution and different spatial structures are taken as models to study solute transport in fractures. One network has non-vaunishing long range correlations and represents a fractal pattern. The other one has a finite correlation length and an exponential covariance function. Based on these fields, two physical fracture models were produced and used to record the movement of a coloured solute by means of a CCD camera. The pictures obtained were analyzed with image processing methods. A front tracking algorithm shows that the growth law of the frontal variance is a power law of time with the exponent depending on the Hut-st coefficient of the aperture distribution in the case of the fractal pattern, while it is a linear function of time for the case of the finite correlation length.en_US
dc.language.isoen_USen_US
dc.subjectfractured porous mediaen_US
dc.subjectfractional Brownian motionen_US
dc.subjectHurst exponenten_US
dc.subjectcubic lawen_US
dc.titleApplication of 2-D random generators to the study of solute transport in fracturesen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF THE CHINESE INSTITUTE OF ENGINEERSen_US
dc.citation.volume24en_US
dc.citation.issue3en_US
dc.citation.spage397en_US
dc.citation.epage403en_US
dc.contributor.department土木工程學系zh_TW
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.identifier.wosnumberWOS:000168922800012-
dc.citation.woscount1-
Appears in Collections:Articles


Files in This Item:

  1. 000168922800012.pdf