UTILIZATION OF AN HYPERBOLIC MODEL FOR THE DETERMINATION OF THE CRITICAL LOAD IN SWIMMING RATS.

2002 ◽  
Vol 34 (5) ◽  
pp. S149 ◽  
Author(s):  
L Marangon ◽  
C A. Gobatto ◽  
M A. R. de Mello ◽  
E Kokubun
2011 ◽  
Vol 250-253 ◽  
pp. 2271-2275
Author(s):  
Cheng Wang ◽  
Qi Zhang

Vertical static load test is widely used in the determination of pile bearing capacity, the mathematical model used to fit test pile data in determining the bearing capacity is essential. From the perspective of analytic geometry, the paper analyzes the traditional method of hyperbola, of which the asymptotic line of equilateral hyperbola was used to determine the ultimate bearing capacity. By extending the equal-axed conditions, a more general form of hyperbolic equation is derived and feasibility of such method is also analyzed, which indicates that the maximum point of curvature in such hyperbolic curve can determine the ultimate bearing capacity and such method is proved to be reasonable in practical projects.


Author(s):  
N. Al-Shayea ◽  
S. Abduljauwad ◽  
R. Bashir ◽  
H. Al-Ghamedy ◽  
I. Asi

1993 ◽  
Vol 28 (3-5) ◽  
pp. 183-187 ◽  
Author(s):  
D. S. Jeffries ◽  
D. C. L. Lam

The operational definition of the “critical” load for wet SO4 deposition is that which does not increase the regional percent of lakes having pH≤6 for the portion of the population that historically had pH>6. Reviews of the effects of acidic deposition on aquatic biota show that the pH=6 threshold used to determine the critical load is sufficient to protect most organisms. It is inappropriate to specify a single critical load for the whole of eastern Canada due to variability in terrain sensitivity. The Atlantic provinces and easterr Quebec generally have very low critical loads (<8 kg. ha−1.yr−1). The terrain characteristics of this area dictate a critical load very close to background deposition. Lakes in southwestern Quebec and Ontario have critical loads of <8 to >20 kg.ha−1.yr−1 reflecting the wide range in terrain sensitivities that exist in each province.


2017 ◽  
Vol 107 ◽  
pp. 00050
Author(s):  
Evgeniy Galagurya ◽  
Maksym Kovalov ◽  
Larisa Kravtsiv ◽  
Igor Bychenok
Keyword(s):  

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