Stochastic modeling of large-scale transient unsaturated flow systems

1987 ◽  
Vol 23 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Aristotelis Mantoglou ◽  
Lynn W. Gelhar

2004 ◽  
Vol 27 (4) ◽  
pp. 399-410 ◽  
Author(s):  
M.Selim Uz Zaman ◽  
Lin A. Ferrand ◽  
Michael A. Celia

2005 ◽  
Vol 127 (11) ◽  
pp. 1280-1284 ◽  
Author(s):  
C. J. Kobus

The objective of this research is to investigate large-scale transient flow surges of the condensate leaving in-tube condensing flow systems because of perturbations in the inlet vapor flow rate, and the influence of the subcooled liquid inertia of the condensate on these transient responses. Small changes in the inlet vapor flow rate momentarily cause large transient flow surges in the outlet liquid flow rate. Condensate inertia is seen to destabilize the system into an underdamped behavior where the flow rate can overshoot the final steady-state position several times. A one-dimensional, two-fluid, distributed parameter system mean void fraction (SMVF) model of the time-dependent distribution of liquid and vapor within the two-phase region is developed for predicting these transient characteristics, which it is seen to do quite well, especially when consideration is given to the complex nature of the problem.


2014 ◽  
Vol 62 (5) ◽  
pp. 1179-1191 ◽  
Author(s):  
Adam Szymkiewicz ◽  
Insa Neuweiler ◽  
Rainer Helmig

2005 ◽  
Vol 12 (3) ◽  
pp. 251-299 ◽  
Author(s):  
JOHN CHEN ◽  
SRINIVAS BANGALORE ◽  
K. VIJAY-SHANKER

There has been a contemporary surge of interest in the application of stochastic models of parsing. The use of tree-adjoining grammar (TAG) in this domain has been relatively limited due in part to the unavailability, until recently, of large-scale corpora hand-annotated with TAG structures. Our goals are to develop inexpensive means of generating such corpora and to demonstrate their applicability to stochastic modeling. We present a method for automatically extracting a linguistically plausible TAG from the Penn Treebank. Furthermore, we also introduce labor-inexpensive methods for inducing higher-level organization of TAGs. Empirically, we perform an evaluation of various automatically extracted TAGs and also demonstrate how our induced higher-level organization of TAGs can be used for smoothing stochastic TAG models.


2014 ◽  
Vol 24 (6) ◽  
pp. 798-819 ◽  
Author(s):  
Neera Jain ◽  
Justin P. Koeln ◽  
Shreyas Sundaram ◽  
Andrew G. Alleyne

2016 ◽  
Vol 15 (3) ◽  
pp. vzj2015.07.0103 ◽  
Author(s):  
Zhao Liu ◽  
Yuanyuan Zha ◽  
Wenyuan Yang ◽  
Yi-Ming Kuo ◽  
Jinzhong Yang

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