Numerical modelling of the plane problem of the stress state of a tube immersed in a liquid

2014 ◽  
Vol 78 (5) ◽  
pp. 518-523 ◽  
Author(s):  
A.O. Kazakova ◽  
A.G. Terent’ev
ce/papers ◽  
2017 ◽  
Vol 1 (2-3) ◽  
pp. 2128-2137
Author(s):  
Yadong Jiang ◽  
Bledar Kalemi ◽  
António Silva ◽  
José Miguel Castro ◽  
Ricardo Monteiro

2009 ◽  
Vol 46 (11) ◽  
pp. 1322-1336 ◽  
Author(s):  
Martin Fahey ◽  
Matthew Helinski ◽  
Andy Fourie

In current underground mining using “open stoping” methods, it is common to backfill mined-out voids (“stopes”) using hydraulically placed backfill, which is commonly composed of tailings, to which cement is often added. Knowledge of the stress state within a backfilled stope is required for safe design of drawpoint barricades and for other operational reasons. This stress state depends, inter alia, on the degree of “arching” that occurs, resulting from the development of shear stress between the fill and the stope walls. This paper presents a numerical modelling study of aspects of the arching phenomenon, carried using the computer code Plaxis. The backfill is characterized using the Mohr–Coulomb soil model, and both dry backfill and saturated backfill are considered to completely cover the full spectrum of backfill types that are used in practice. It is shown that even with dry backfill, the behaviour is governed by a complex interaction between the soil parameters. The behaviour is more complex with saturated backfill, with a key parameter being the permeability of the backfill relative to the rate of filling — i.e., whether the backfilling operation can be considered to be “drained” or “undrained” or somewhere between these two extremes.


2015 ◽  
Vol 31 (1) ◽  
pp. 20-30 ◽  
Author(s):  
William S. Helton ◽  
Katharina Näswall

Conscious appraisals of stress, or stress states, are an important aspect of human performance. This article presents evidence supporting the validity and measurement characteristics of a short multidimensional self-report measure of stress state, the Short Stress State Questionnaire (SSSQ; Helton, 2004 ). The SSSQ measures task engagement, distress, and worry. A confirmatory factor analysis of the SSSQ using data pooled from multiple samples suggests the SSSQ does have a three factor structure and post-task changes are not due to changes in factor structure, but to mean level changes (state changes). In addition, the SSSQ demonstrates sensitivity to task stressors in line with hypotheses. Different task conditions elicited unique patterns of stress state on the three factors of the SSSQ in line with prior predictions. The 24-item SSSQ is a valid measure of stress state which may be useful to researchers interested in conscious appraisals of task-related stress.


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