scholarly journals Prediction of ultimate resistance by application of damage theory with special regard to HSS

ce/papers ◽  
2019 ◽  
Vol 3 (3-4) ◽  
pp. 737-742
Author(s):  
Simon Schaffrath ◽  
Markus Feldmann
2017 ◽  
Vol 69 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Václav Janda ◽  
Martin Kříž ◽  
Tereza Konvalinková ◽  
Jan Borovička
Keyword(s):  

2017 ◽  
Vol 8 (1) ◽  
pp. 75 ◽  
Author(s):  
Doc. Dr. Jelena Š. Novaković ◽  
PhD student Božana Tomić

Apart from personal pronouns which are by far the most used referring expressions in English and Serbian, reference can be established and maintained using demonstratives.Their function is to refer to the location or distance of a person or an object. The aim of this paper is to examine reference realised by demonstratives with special regard to the restrictions written discourse imposes on their usage. The texts we used for analysis are narrative stories written in the two languages.


Tellus ◽  
1966 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Anders AngstrÖm ◽  
Bertil Rodhe
Keyword(s):  

2000 ◽  
Vol 9 (2) ◽  
pp. 174-191
Author(s):  
L. C. CHAN ◽  
T. C. LEE ◽  
J. P. FAN ◽  
C. Y. TANG
Keyword(s):  

2014 ◽  
Vol 543-547 ◽  
pp. 195-198
Author(s):  
Li Jun Cao ◽  
Hui Bin Hu ◽  
Gui Bo Yu ◽  
Shu Hai Wang

The running system is the key part to finish training or battle tasks of complicated equipments. But formidable working conditions influence the measurement of load spectrums and it is difficult to analyze and forecast the reliability of running system. Actual vehicle experiments and virtual prototype are firstly combined to obtain complete load spectrum of running system. According to the materials S-N curve, stress and strain spectrums can be computed. Nominal stress method and local stress and strain method are combined with probability density accumulation damage theory to compute the probability density distribution function. Then, the reliability of running system can be forecasted, which provide adequate reference for the maintenance cycle confirmation and mission reliability prediction.


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