{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/254cdc8207e1c0a15d5eda2f8c09cce7c/hermann", "tags" : [ "Landslides;","Large","Method;","Non-zero","Point","Slope","condition;","deformation;","failure}","kinematic","{Material" ], "intraHash" : "54cdc8207e1c0a15d5eda2f8c09cce7c", "interHash" : "9516033bc080c419374a68c96ee08473", "label" : "Numerical modelling of seismic slope failure using MPM", "user" : "hermann", "description" : "", "date" : "2017-05-18 11:32:12", "changeDate" : "2017-05-18 09:32:12", "count" : 2, "pub-type": "article", "journal": "COMPUTERS AND GEOTECHNICS","publisher":"ELSEVIER SCI LTD","address":"THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND", "year": "{2016}", "url": "", "author": [ "Tushar Bhandari","Fursan Hamad","Christian Moormann","K. G. Sharma","Bernhard Westrich" ], "authors": [ {"first" : "Tushar", "last" : "Bhandari"}, {"first" : "Fursan", "last" : "Hamad"}, {"first" : "Christian", "last" : "Moormann"}, {"first" : "K. G.", "last" : "Sharma"}, {"first" : "Bernhard", "last" : "Westrich"} ], "volume": "75","pages": "126-134","abstract": "The Finite Element Method (FEM) is widely used in the simulation of\n geotechnical applications. Owing to the limitations of FEM to model\n problems involving large deformations, many efforts have been made to\n develop methods free of mesh entanglement. One of these methods is the\n Material Point Method (MPM) which models the material as Lagrangian\n particles capable of moving through a background computational mesh in\n Eulerian manner. Although MPM represents the continuum by material\n points, solution is performed on the computational mesh. Thus, imposing\n boundary conditions is not aligned with the material representation. In\n this paper, a non-zero kinematic condition is introduced where an\n additional set of particles is incorporated to track the moving\n boundary. This approach is then applied to simulate the seismic motion\n resulting in failure of slopes. To validate this simulation procedure,\n two geotechnical applications are modelled using MPM. The first is to\n reproduce a shaking table experiment where the results of another\n numerical method are available. After validating the present numerical\n scheme for relatively large deformation problem, it is applied to\n simulate progression of a large-scale landslide during the Chi-Chi\n earthquake of Taiwan in which excessive material deformation and\n transportation is taking place. (C) 2016 Elsevier Ltd. All rights\n reserved.", "author-email" : "bhandaritushar1390@gmail.com\n fursan.hamad@igs.uni-stuttgart.de\n christian.moormann@igs.uni-stuttgart.de\n kgsharmaiitd@gmail.com\n bmwest@gmx.de", "issn" : "0266-352X", "keywords-plus" : "MATERIAL-POINT METHOD; ERH-SHAN LANDSLIDE; IN-CELL METHOD; CHI-CHI;\n EARTHQUAKE; CENTRIFUGE; TAIWAN", "funding-acknowledgement" : "German Academic Exchange Service (DAAD); Institute of Geotechnical\n Engineering (IGS), Stuttgart", "research-areas" : "Computer Science; Engineering; Geology", "eissn" : "1873-7633", "number-of-cited-references" : "25", "affiliation" : "Moormann, C (Reprint Author), Pfaffenwaldring 35, D-70569 Stuttgart, Germany.\n Bhandari, Tushar; Sharma, K. G., Indian Inst Technol Delhi, Dept Civil Engn, New Delhi, India.\n Hamad, Fursan; Moormann, Christian; Westrich, Bernhard, Univ Stuttgart, Inst Geotech Engn, D-70174 Stuttgart, Germany.", "web-of-science-categories" : "Computer Science, Interdisciplinary Applications; Engineering,\n Geological; Geosciences, Multidisciplinary", "language" : "English", "funding-text" : "The authors acknowledge the help of ``German Academic Exchange Service\n (DAAD)'' and ``Institute of Geotechnical Engineering (IGS),\n Stuttgart'' for providing the financial and physical resources\n required to carry out this research. We would also like to acknowledge\n ``Deltares, The Netherlands'' for providing access to their MPM source\n code, which was further developed in this paper.", "times-cited" : "1", "doi" : "10.1016/j.compgeo.2016.01.017", "bibtexKey": "ISI:000373647800012" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/21146cdb2cb2120cac1495799520c7522/hermann", "tags" : [ "Copula;","Inverse","Multiple","mixing;","modeling;","point","statistics}","{Random" ], "intraHash" : "1146cdb2cb2120cac1495799520c7522", "interHash" : "ebc1acb5c6a1065a9ad744fc313e15ef", "label" : "Random Mixing: An Approach to Inverse Modeling for Groundwater Flow and\n Transport Problems", "user" : "hermann", "description" : "", "date" : "2017-05-18 11:32:12", "changeDate" : "2017-05-18 09:32:12", "count" : 1, "pub-type": "article", "journal": "TRANSPORT IN POROUS MEDIA","publisher":"SPRINGER","address":"233 SPRING ST, NEW YORK, NY 10013 USA", "year": "{2016}", "url": "", "author": [ "Andras Bardossy","Sebastian Hoerning" ], "authors": [ {"first" : "Andras", "last" : "Bardossy"}, {"first" : "Sebastian", "last" : "Hoerning"} ], "volume": "114","number": "2, SI","pages": "241-259","abstract": "This paper presents a novel methodology for inverse modeling of\n groundwater flow and transport problems in a Monte Carlo framework,\n i.e., multiple solutions to the inverse problem are generated. The\n methodology is based on the concept of random mixing of spatial random\n fields. The conditional target hydraulic transmissivity field is\n obtained as a linear combination of unconditional spatial random fields.\n The corresponding weights of the linear combination are selected such\n that the spatial variability of the hydraulic transmissivities as well\n as the actual observed transmissivity values are reproduced. The\n constraints related to the hydraulic head and contaminant concentration\n observations are nonlinear. In order to fulfill these constraints, a\n specific property of the presented approach is used. A connected domain\n of fields fulfilling all linear constraints is identified. This domain\n includes an infinite number of realizations, and in this domain, the\n head and concentration deviations are minimized using standard\n continuous optimization techniques. The methodology uses spatial copulas\n to describe the spatial dependence structure. A combination with\n multiple point statistics allows inversion under specific structural\n constraints.", "author-email" : "andras.bardossy@iws.uni-stuttgart.de\n sebastian.hoerning@iws.uni-stuttgart.de", "issn" : "0169-3913", "keywords-plus" : "GRADUAL DEFORMATION; CONDITIONAL SIMULATION; ITERATIVE CALIBRATION;\n MEDIA", "funding-acknowledgement" : "German Science Foundation (DFG) [GRK 1398]", "research-areas" : "Engineering", "eissn" : "1573-1634", "number-of-cited-references" : "28", "affiliation" : "Horning, S (Reprint Author), Univ Stuttgart, Inst Modeling Hydraul & Environm Syst, Dept Hydrol & Geohydrol, Stuttgart, Germany.\n Bardossy, Andras; Hoerning, Sebastian, Univ Stuttgart, Inst Modeling Hydraul & Environm Syst, Dept Hydrol & Geohydrol, Stuttgart, Germany.", "web-of-science-categories" : "Engineering, Chemical", "language" : "English", "funding-text" : "Research for this paper was supported by the German Science Foundation\n (DFG) in the framework of the International Research Training Group\n NUPUS under Grant No. GRK 1398.", "times-cited" : "1", "doi" : "10.1007/s11242-015-0608-4", "bibtexKey": "ISI:000382094800003" } ] }