Computational Models for Gas Cloud Temperature Analysis in Fires

Gas Cloud Temperature Constrains Dark Matter

Physics ◽

10.1103/physics.11.95 ◽

2018 ◽

Vol 11 ◽

Author(s):

Adam Becker

Keyword(s):

Dark Matter ◽

Cloud Temperature ◽

Gas Cloud

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Computation of Residual Stresses due to Multipass Welds in Piping Systems

Journal of Pressure Vessel Technology ◽

10.1115/1.3454614 ◽

1979 ◽

Vol 101 (2) ◽

pp. 149-154 ◽

Cited By ~ 97

Author(s):

E. F. Rybicki ◽

R. B. Stonesifer

Keyword(s):

Residual Stresses ◽

Computational Models ◽

Stress Distributions ◽

Laboratory Measurements ◽

Temperature Analysis ◽

Analysis Model ◽

Temperature Dependent ◽

Piping Systems ◽

Stress Reversals ◽

Good Agreement

In this paper, a computational model is developed to calculate the magnitude and distribution of residual stresses for multipass girth-butt welded pipes. The model consists of two parts, a temperature analysis model and a finite element stress analysis model. Elastic-plastic temperature dependent mechanical properties and unloading due to stress reversals are included in the model. While computational models for predicting residual stress distributions due to one- and two-pass welds have been developed, there are certain difficulties associated with predicting the behavior of multipass welds in an economical way. An approach for handling these types of problems is described. Residual stresses obtained with the model for a seven-pass weld and a thirty-pass weld are compared with residual stresses obtained from laboratory measurements. Good agreement is found between the computed and measured values of residual stresses for for both welds.

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Computational Models for Turbulent Reacting Flows

10.1017/cbo9780511610103 ◽

2003 ◽

Cited By ~ 368

Author(s):

Rodney O. Fox

Keyword(s):

Computational Models ◽

Reacting Flows ◽

Turbulent Reacting Flows

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Sequential Difficulty Effects During Strategy Execution

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000157 ◽

2012 ◽

Vol 59 (5) ◽

pp. 295-301 ◽

Cited By ~ 35

Author(s):

Kim Uittenhove ◽

Patrick Lemaire

Keyword(s):

Computational Models ◽

Preceding Trial ◽

Human Cognition ◽

Strategy Execution ◽

Strategy Performance ◽

Empirical Implications

In two experiments, we tested the hypothesis that strategy performance on a given trial is influenced by the difficulty of the strategy executed on the immediately preceding trial, an effect that we call strategy sequential difficulty effect. Participants’ task was to provide approximate sums to two-digit addition problems by using cued rounding strategies. Results showed that performance was poorer after a difficult strategy than after an easy strategy. Our results have important theoretical and empirical implications for computational models of strategy choices and for furthering our understanding of strategic variations in arithmetic as well as in human cognition in general.

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Does Viotin Activate Violin More Than Viocin?

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000223 ◽

2014 ◽

Vol 61 (1) ◽

pp. 23-29 ◽

Cited By ~ 15

Author(s):

Manuel Perea ◽

Victoria Panadero

Keyword(s):

Word Recognition ◽

Visual Word Recognition ◽

Developmental Dyslexia ◽

Computational Models ◽

Error Rates ◽

Visual Word ◽

Base Word ◽

Similar Response ◽

Skilled Readers ◽

Young Readers

The vast majority of neural and computational models of visual-word recognition assume that lexical access is achieved via the activation of abstract letter identities. Thus, a word’s overall shape should play no role in this process. In the present lexical decision experiment, we compared word-like pseudowords like viotín (same shape as its base word: violín) vs. viocín (different shape) in mature (college-aged skilled readers), immature (normally reading children), and immature/impaired (young readers with developmental dyslexia) word-recognition systems. Results revealed similar response times (and error rates) to consistent-shape and inconsistent-shape pseudowords for both adult skilled readers and normally reading children – this is consistent with current models of visual-word recognition. In contrast, young readers with developmental dyslexia made significantly more errors to viotín-like pseudowords than to viocín-like pseudowords. Thus, unlike normally reading children, young readers with developmental dyslexia are sensitive to a word’s visual cues, presumably because of poor letter representations.

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