Ming Peng, Jiacheng Xia, Lu Jing, Gordon G. D. Zhou, Limin Zhang, Jianfeng Chen
{"title":"How Volume Increases the Mobility of Geophysical Granular Flow: A Unified Rheological Perspective","authors":"Ming Peng, Jiacheng Xia, Lu Jing, Gordon G. D. Zhou, Limin Zhang, Jianfeng Chen","doi":"10.1029/2025gl119975","DOIUrl":null,"url":null,"abstract":"Geophysical granular flows, involving rapidly flowing granular materials, can exhibit volume-enhanced mobility. Lacking a mechanistic understanding of such size effects limits the applications of lab-scale findings to natural events. Using discrete element method simulations, we find that increasing granular system size suppresses energy-dissipating velocity fluctuations while promoting sustained creeping motion. This nonlocal phenomenon of granular materials enhances the mobility in various granular column collapse scenarios. This mechanism is reflected in the rheological data, which deviate from traditional <span data-altimg=\"/cms/asset/0eacf7e7-1056-4419-af9a-a91f5919db0e/grl72502-math-0001.png\"></span><mjx-container ctxtmenu_counter=\"235\" ctxtmenu_oldtabindex=\"1\" jax=\"CHTML\" role=\"application\" sre-explorer- style=\"font-size: 103%; position: relative;\" tabindex=\"0\"><mjx-math aria-hidden=\"true\" location=\"graphic/grl72502-math-0001.png\"><mjx-semantics><mjx-mrow data-semantic-annotation=\"clearspeak:simple\" data-semantic-children=\"0,4\" data-semantic-content=\"5,0\" data-semantic- data-semantic-role=\"simple function\" data-semantic-speech=\"mu left parenthesis upper I right parenthesis\" data-semantic-type=\"appl\"><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-operator=\"appl\" data-semantic-parent=\"6\" data-semantic-role=\"simple function\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-mo data-semantic-added=\"true\" data-semantic- data-semantic-operator=\"appl\" data-semantic-parent=\"6\" data-semantic-role=\"application\" data-semantic-type=\"punctuation\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mrow data-semantic-children=\"2\" data-semantic-content=\"1,3\" data-semantic- data-semantic-parent=\"6\" data-semantic-role=\"leftright\" data-semantic-type=\"fenced\"><mjx-mo data-semantic- data-semantic-operator=\"fenced\" data-semantic-parent=\"4\" data-semantic-role=\"open\" data-semantic-type=\"fence\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo><mjx-mi data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic- data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\"><mjx-c></mjx-c></mjx-mi><mjx-mo data-semantic- data-semantic-operator=\"fenced\" data-semantic-parent=\"4\" data-semantic-role=\"close\" data-semantic-type=\"fence\" style=\"margin-left: 0.056em; margin-right: 0.056em;\"><mjx-c></mjx-c></mjx-mo></mjx-mrow></mjx-mrow></mjx-semantics></mjx-math><mjx-assistive-mml display=\"inline\" unselectable=\"on\"><math altimg=\"urn:x-wiley:00948276:media:grl72502:grl72502-math-0001\" display=\"inline\" location=\"graphic/grl72502-math-0001.png\" xmlns=\"http://www.w3.org/1998/Math/MathML\"><semantics><mrow data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-children=\"0,4\" data-semantic-content=\"5,0\" data-semantic-role=\"simple function\" data-semantic-speech=\"mu left parenthesis upper I right parenthesis\" data-semantic-type=\"appl\"><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-operator=\"appl\" data-semantic-parent=\"6\" data-semantic-role=\"simple function\" data-semantic-type=\"identifier\">μ</mi><mo data-semantic-=\"\" data-semantic-added=\"true\" data-semantic-operator=\"appl\" data-semantic-parent=\"6\" data-semantic-role=\"application\" data-semantic-type=\"punctuation\"></mo><mrow data-semantic-=\"\" data-semantic-children=\"2\" data-semantic-content=\"1,3\" data-semantic-parent=\"6\" data-semantic-role=\"leftright\" data-semantic-type=\"fenced\"><mo data-semantic-=\"\" data-semantic-operator=\"fenced\" data-semantic-parent=\"4\" data-semantic-role=\"open\" data-semantic-type=\"fence\" stretchy=\"false\">(</mo><mi data-semantic-=\"\" data-semantic-annotation=\"clearspeak:simple\" data-semantic-font=\"italic\" data-semantic-parent=\"4\" data-semantic-role=\"latinletter\" data-semantic-type=\"identifier\">I</mi><mo data-semantic-=\"\" data-semantic-operator=\"fenced\" data-semantic-parent=\"4\" data-semantic-role=\"close\" data-semantic-type=\"fence\" stretchy=\"false\">)</mo></mrow></mrow>$\\mu (I)$</annotation></semantics></math></mjx-assistive-mml></mjx-container> rheology but are collapsed under a recent power-law rheology that incorporates velocity fluctuations. Moreover, this size-dependent power-law rheology exhibits universality in transient simulations with varied flow geometries, slope angles, and base roughness. This rheologically consistent framework, spanning inertial to quasi-static states, bridges small-scale investigations and continuum models for large-scale simulations, enabling improved predictive capability of the entire flow processes, from initiation to deposition, in natural geophysical flows.","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"111 3S 1","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2026-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysical Research Letters","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1029/2025gl119975","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Geophysical granular flows, involving rapidly flowing granular materials, can exhibit volume-enhanced mobility. Lacking a mechanistic understanding of such size effects limits the applications of lab-scale findings to natural events. Using discrete element method simulations, we find that increasing granular system size suppresses energy-dissipating velocity fluctuations while promoting sustained creeping motion. This nonlocal phenomenon of granular materials enhances the mobility in various granular column collapse scenarios. This mechanism is reflected in the rheological data, which deviate from traditional rheology but are collapsed under a recent power-law rheology that incorporates velocity fluctuations. Moreover, this size-dependent power-law rheology exhibits universality in transient simulations with varied flow geometries, slope angles, and base roughness. This rheologically consistent framework, spanning inertial to quasi-static states, bridges small-scale investigations and continuum models for large-scale simulations, enabling improved predictive capability of the entire flow processes, from initiation to deposition, in natural geophysical flows.
期刊介绍:
Geophysical Research Letters (GRL) publishes high-impact, innovative, and timely research on major scientific advances in all the major geoscience disciplines. Papers are communications-length articles and should have broad and immediate implications in their discipline or across the geosciences. GRLmaintains the fastest turn-around of all high-impact publications in the geosciences and works closely with authors to ensure broad visibility of top papers.