Application of the Monte Carlo Technique to Fatigue-Failure Analysis under Random Loading

2009 ◽  
pp. 168-168-17 ◽  
Author(s):  
H Itagaki ◽  
M Shinozuka
Keyword(s):  
Monte Carlo ◽  
Failure Analysis ◽  
Fatigue Failure ◽  
Monte Carlo Technique ◽  
Random Loading

Application of the Monte Carlo Method for the Prediction of Behavior of Peptides

2019 ◽  
Vol 20 (12) ◽  
pp. 1151-1157 ◽  
Author(s):  
Alla P. Toropova ◽  
Andrey A. Toropov
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Natural Sciences ◽  
Monte Carlo Technique ◽  
Quantitative Structure ◽  
Structure Property ◽  
The Monte Carlo Method ◽  
Modern Natural

Prediction of physicochemical and biochemical behavior of peptides is an important and attractive task of the modern natural sciences, since these substances have a key role in life processes. The Monte Carlo technique is a possible way to solve the above task. The Monte Carlo method is a tool with different applications relative to the study of peptides: (i) analysis of the 3D configurations (conformers); (ii) establishment of quantitative structure – property / activity relationships (QSPRs/QSARs); and (iii) development of databases on the biopolymers. Current ideas related to application of the Monte Carlo technique for studying peptides and biopolymers have been discussed in this review.

scholarly journals Fatigue failure analysis of drilling tools for ultra-deep wells in shunbei Block

2018 ◽  
Vol 423 ◽  
pp. 012190
Author(s):  
Biao Liu ◽  
Zhongxi Zhu ◽  
Jun Zhang ◽  
Wanneng Lei ◽  
Baichuan Wu
Keyword(s):  
Failure Analysis ◽  
Fatigue Failure ◽  
Deep Wells ◽  
Drilling Tools
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