closure assumption
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Author(s):  
Daniel Kujawski

This paper presents a damaging stress intensity function K for analyses of R-ratio effects on fatigue crack growth (FCG) in metals. The proposed formulation is based on the sum of strain and complementary energy and its role in FCG rate behavior in threshold and Paris region at R-ratios ranging from -2 to 0.97. It doesn’t invoke a crack closure assumption or fitting parameters for R<0.5-0.6. For a high R>0.7 it utilizes an experimentally determine correction factor, which accounts for excessive plastic dissipation in the monotonic plastic zone (MPZ).


Author(s):  
Hui Wan ◽  
Carol S. Woodward ◽  
Shixuan Zhang ◽  
Christopher J. Vogl ◽  
Panos Stinis ◽  
...  

2017 ◽  
Vol 37 (5) ◽  
pp. 951-961 ◽  
Author(s):  
Gus Wathen ◽  
Nicholas Weber ◽  
Stephen Bennett ◽  
Nicolaas Bouwes ◽  
Chris E. Jordan

2016 ◽  
Vol 32 (3) ◽  
pp. 339-347
Author(s):  
MOHAMED JLELI ◽  
◽  
BESSEM SAMET ◽  

In this note, we obtain an improvement result for cyclic contractions by weakening the closure assumption that is usually supposed in the literature. We present some applications of the obtained result to prove the existence of solutions for a system of functional equations.


Ecography ◽  
2013 ◽  
Vol 36 (12) ◽  
pp. 1299-1309 ◽  
Author(s):  
Clint R. V. Otto ◽  
Larissa L. Bailey ◽  
Gary J. Roloff

Ecology ◽  
2013 ◽  
Vol 94 (3) ◽  
pp. 610-617 ◽  
Author(s):  
William L. Kendall ◽  
James E. Hines ◽  
James D. Nichols ◽  
Evan H. Campbell Grant

2012 ◽  
Vol 12 (4-5) ◽  
pp. 565-582 ◽  
Author(s):  
VLADIMIR LIFSCHITZ ◽  
KARL PICHOTTA ◽  
FANGKAI YANG

AbstractGeneralized relational theories with null values in the sense of Reiter are first-order theories that provide a semantics for relational databases with incomplete information. In this paper we show that any such theory can be turned into an equivalent logic program, so that models of the theory can be generated using computational methods of answer set programming. As a step towards this goal, we develop a general method for calculating stable models under the domain closure assumption but without the unique name assumption.


Author(s):  
Christopher T. Rota ◽  
Robert J. Fletcher Jr ◽  
Robert M. Dorazio ◽  
Matthew G. Betts

2009 ◽  
Vol 137 (2) ◽  
pp. 766-789 ◽  
Author(s):  
Nguyen Minh Truong ◽  
Tran Tan Tien ◽  
Roger A. Pielke ◽  
Christopher L. Castro ◽  
Giovanni Leoncini

Abstract From 24 to 26 November 2004, an extreme heavy rainfall event occurred in the mountainous provinces of central Vietnam, resulting in severe flooding along local rivers. The Regional Atmospheric Modeling System, version 4.4, is used to simulate this event. In the present study, the convective parameterization scheme includes the original Kain–Fritsch scheme and a modified one in which a new diagnostic equation to compute updraft velocity, closure assumption, and trigger function are developed. These modifications take the vertical gradient of the Exner function perturbation into account, with an on–off coefficient to account for the role of the advective terms. According to the event simulations, the simulated precipitation shows that the modified scheme with the new trigger function gives much better results than the original one. Moreover, the interaction between convection and the larger-scale environment is much stronger near the midtroposphere where the return flow associated with lower-level winter monsoon originates. As a result, the modified scheme produces larger and deeper stratiform clouds and leads to a significant amount of resolvable precipitation. On the contrary, the resolvable precipitation is small when the original scheme is used. The improvement in the simulated precipitation is caused by a more explicit physical mechanism of the new trigger function and suggests that the trigger function needs to be developed along with other components of the scheme, such as closure assumption and cloud model, as a whole. The formalistic inclusion of the advective terms in the new equation gives almost no additional improvement of the simulated precipitation.


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