Critical issues related to a combined probabilistic numerical analysis of contaminant transport in porous media

Jeffrey D. Cawlfield, Ming-Chee Wu

研究成果: Conference contribution

摘要

Reliability algorithms provide attractive alternatives to Monte Carlo simulation and stochastic perturbation approaches for probabilistic analysis of contaminant transport in porous media. We describe results and issues for further study based on a first-order reliability analysis in conjunction with a two-dimensional finite element model of transport in porous media. Probabilistic sensitivity measures provide valuable information on the importance of the uncertain variables - particularly the spatially discretized permeability values. An example flow region is analyzed and longitudinal dispersivity, fluid density, solid grain density, and distribution coefficient have the greatest influence on the probabilistic outcome. These are all global uncertain variables, as opposed to the discretized permeability uncertain variables. The authors' previous work with analytical transport solutions indicated dispersivity had little influence on the probabilistic outcome; rather, those models were dominated by the uncertainty in flow velocity and the reaction terms.

原文English
主出版物標題Probabilistic Mechanics and Structural and Geotechnical Reliability, Proceedings of the Specialty Conference
發行者Publ by ASCE
頁面232-235
頁數4
ISBN(列印)0872628736
出版狀態Published - 1992 十二月 1
事件Proceedings of the 6th ASCE Specialty Conference on Probabilistic Mechanics, and Structural and Geotechnical Reliability - Denver, CO, USA
持續時間: 1992 七月 81992 七月 10

出版系列

名字Probabilistic Mechanics and Structural and Geotechnical Reliability, Proceedings of the Specialty Conference

Other

OtherProceedings of the 6th ASCE Specialty Conference on Probabilistic Mechanics, and Structural and Geotechnical Reliability
城市Denver, CO, USA
期間92-07-0892-07-10

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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