Soil Failure Patterns and Load–sinkage Relationships under Interacting Shallow Footing and Wheel Arrangements

2004 ◽  
Vol 88 (3) ◽  
pp. 383-393 ◽  
Author(s):  
A. Javadi ◽  
G. Spoor
Keyword(s):  
Failure Patterns ◽  
Soil Failure ◽  
Shallow Footing

scholarly journals Chaos emerging in soil failure patterns observed during tillage: Normalized deterministic nonlinear prediction (NDNP) and its application

2017 ◽  
Vol 27 (3) ◽  
pp. 033115 ◽  
Author(s):  
Kenshi Sakai ◽  
Shrinivasa K. Upadhyaya ◽  
Pedro Andrade-Sanchez ◽  
Nina V. Sviridova
Keyword(s):  
Nonlinear Prediction ◽  
Failure Patterns ◽  
Soil Failure

Soil failure patterns and draft as influenced by consistency limits: An evaluation of the remolded soil cutting test

2014 ◽  
Vol 137 ◽  
pp. 58-66 ◽  
Author(s):  
A.A. Tagar ◽  
Changying Ji ◽  
Qishuo Ding ◽  
Jan Adamowski ◽  
F.A. Chandio ◽  
...  
Keyword(s):  
Failure Patterns ◽  
Cutting Test ◽  
Soil Failure ◽  
Soil Cutting

Finite element simulation of soil failure patterns under soil bin and field testing conditions

2015 ◽  
Vol 145 ◽  
pp. 157-170 ◽  
Author(s):  
A.A. Tagar ◽  
Ji Changying ◽  
Jan Adamowski ◽  
Julien Malard ◽  
Chen Shi Qi ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Field Testing ◽  
Testing Conditions ◽  
Failure Patterns ◽  
Soil Failure ◽  
Element Simulation ◽  
Soil Bin

Effect of tine rake angle and aspect ratio on soil failure patterns in dry loam soil

1996 ◽  
Vol 33 (5) ◽  
pp. 233-252 ◽  
Author(s):  
J.T. Makanga ◽  
V.M. Salokhe ◽  
D. Gee-Clough
Keyword(s):  
Aspect Ratio ◽  
Rake Angle ◽  
Failure Patterns ◽  
Soil Failure ◽  
Loam Soil

A method for dynamic measurement of soil failure patterns caused by tillage tools

1997 ◽  
Vol 41 (1-2) ◽  
pp. 119-125 ◽  
Author(s):  
C.Divaker Durairaj ◽  
M. Balasubramanian
Keyword(s):  
Dynamic Measurement ◽  
Failure Patterns ◽  
Soil Failure

Effect of Pile and Load Inclination on the Pile Resistance In both Compression and Tension

2014 ◽  
Vol 2 (1) ◽  
pp. 11-29
Author(s):  
Ahmad Jabber Hussain ◽  
Alaa Dawood Salman ◽  
. Nazar Hassan Mohammad
Keyword(s):  
Bearing Capacity ◽  
Inclination Angle ◽  
Theoretical Study ◽  
Pile Installation ◽  
Soil Failure ◽  
Inclined Pile ◽  
Uplift Resistance ◽  
Lift Forces ◽  
Batter Piles ◽  
Pile Resistance

      According to this theoretical study which was about loading of piles under different condition of loading (compression and up-lift forces ) and for deferent pile installation (vertical and inclined pile ) by which it called (positive batter pile ) when the inclination of the load and pile is in the same direction and called (negative batter pile) when the inclination of load is opposite to the pile inclination, and from studying these cases the results of analysis can be summarize in the flowing points: 1-Variation of load inclination on piles effects on the bearing capacity and uplift resistance. It was found that bearing capacity of the piles increase with increasing of load inclination up to the inclination angle (37.5ͦ) which represents the maximum bearing capacity and then the bearing capacity decrease with increasing of load inclination. 2- Variation of batter pile affects the bearing capacity of the pile and up-lift resistance. by which equivalent angle will be used as result between the load and piles inclination and this angle will be used in calculation of piles resistance . 3- It was noticed the shape of soil failure is highly affected by the inclination of pile. The shape of failure for the soil which is in contact with pile and this include (vertical and batter piles) is highly affected by the angle of inclination.

Classification of IC Process Deformation Characteristics Using Memory Fail Bitmaps

2004 ◽  
Author(s):  
T. Zanon ◽  
W. Maly
Keyword(s):  
Geometric Characterization ◽  
Deformation Characteristics ◽  
Analysis Study ◽  
Preliminary Results ◽  
Failure Patterns ◽  
Yield Learning ◽  
Sram Memory ◽  
Viable Approach ◽  
Ic Technology

Abstract Building a portfolio of deformations is the key step for building better defect models for the test and yield learning domain. A viable approach to achieve this goal is through geometric characterization and classification of failure patterns found on memory fail bitmaps. In this paper, we present preliminary results on how to build such a portfolio of deformations for an IC technology of interest based on a fail bitmap analysis study conducted on large, modern SRAM memory products.

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