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dc.contributor.authorShu, Heping
dc.contributor.authorMa, Jinzhu
dc.contributor.authorYu, Haichao
dc.contributor.authorHurlimann Ziegler, Marcel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2019-01-29T13:24:45Z
dc.date.available2019-01-29T13:24:45Z
dc.date.issued2018-12
dc.identifier.citationSgu, H. [et al.]. Effect of density and total weight on flow depth, velocity, and stresses in loess debris flows. "Water", Desembre 2018, vol. 10, núm. 12, p. 1-21.
dc.identifier.issn2073-4441
dc.identifier.urihttp://hdl.handle.net/2117/127815
dc.description.abstractDebris flows that involve loess material produce important damage around the world. However, the kinematics of such processes are poorly understood. To better understand these kinematics, we used a flume to measure the kinematics of debris flows with different mixture densities and weights. We used sensors to measure pore fluid pressure and total normal stress. We measured flow patterns, velocities, and depths using a high-speed camera and laser range finder to identify the temporal evolution of the flow behavior and the corresponding peaks. We constructed fitting functions for the relationships between the maximum values of the experimental parameters. The hydrographs of the debris flows could be divided into four phases: increase to a first minor peak, a subsequent smooth increase to a second peak, fluctuation until a third major peak, and a final continuous decrease. The flow depth, velocity, total normal stress, and pore fluid pressure were strongly related to the mixture density and total mixture weight. We defined the corresponding relationships between the flow parameters and mixture kinematics. Linear and exponential relationships described the maximum flow depth and the mixture weight and density, respectively. The flow velocity was linearly related to the weight and density. The pore fluid pressure and total normal stress were linearly related to the weight, but logarithmically related to the density. The regression goodness of fit for all functions was >0.93. Therefore, these functions are accurate and could be used to predict the consequences of loess debris flows. Our results provide an improved understanding of the effects of mixture density and weight on the kinematics of debris flows in loess areas, and can help landscape managers prevent and design improved engineering solutions.
dc.format.extent21 p.
dc.language.isoeng
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de sòls
dc.subject.lcshLandslides
dc.subject.otherdebris flow
dc.subject.otherflume experiments
dc.subject.otherloess
dc.subject.otherChina
dc.titleEffect of density and total weight on flow depth, velocity, and stresses in loess debris flows
dc.typeArticle
dc.subject.lemacEsllavissades
dc.contributor.groupUniversitat Politècnica de Catalunya. EnGeoModels - Monitoring and Modelling in Engineering Geology
dc.identifier.doi10.3390/w10121784
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2073-4441/10/12/1784
dc.rights.accessOpen Access
local.identifier.drac23632443
dc.description.versionPostprint (published version)
local.citation.authorSgu, H.; Ma, J.; Yu, H.; Hurlimann, M.
local.citation.publicationNameWater
local.citation.volume10
local.citation.number12
local.citation.startingPage1
local.citation.endingPage21


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