Limiting Tolerable Settlement and Angular Distortion for Building Foundations

2007 ◽  
Author(s):  
Limin Zhang ◽  
Agnes M. Y. Ng
Keyword(s):  
Angular Distortion

Numerical simulation and experimental validation of angular distortion and residual stresses in a T-joint

2015 ◽  
Vol 57 (7-8) ◽  
pp. 628-634
Author(s):  
Jing Chen ◽  
Liying Wang ◽  
Zhendong Shi ◽  
Zhen Dai ◽  
Meiqing Guo
Keyword(s):  
Numerical Simulation ◽  
Residual Stresses ◽  
Experimental Validation ◽  
Angular Distortion

Scale Distorted Target Recognition Based on Machine Vision

2014 ◽  
Vol 1006-1007 ◽  
pp. 760-763 ◽  
Author(s):  
Yu Chen ◽  
Fu Rong Huo ◽  
Li Qin Zheng
Keyword(s):  
Machine Vision ◽  
Background Noise ◽  
Target Recognition ◽  
Angular Distortion ◽  
Average Correlation ◽  
Optical Correlation ◽  
Hybrid Joint ◽  
Mach Filter ◽  
Human Eyes ◽  
Principle Of Maximum

<div> <p class="9"><span>Machine vision means to carry out measurement or judgment with machine instead of human eyes. In the field of target recognition, optical correlation technology is a main way to realize machine vision. Targets can be recognized and located with high precision</span><span> </span><span>taking advantage of optoelectronic hybrid joint </span><span>transform</span><span> correlator (OHJTC). However, when scale or angular distortion of the detected target exists relative to the reference template, the intensity of correlation peaks will decrease to a great extent, which restricted the recognition results greatly. In this paper, the development and principle of maximum average correlation height (MACH)</span><span> </span><span>algorithm is introduced. Through amounts of experiments, t</span><span>he control</span><span>ling</span><span> parameters</span><span> </span><span>of the synthesized filter</span><span> are optimized</span><span>, which makes MACH filter suppress background noise and widen recognition range of targets</span><span>. To show the feasibility of this algorithm, simulative and optical experiments of the improved MACH filter are carried out. As an example, the recognition results of a fighter target in sky</span><span> </span><span>are given, which shows </span><span>the </span><span>scale</span><span> </span><span>distortion tolerance can reach up </span><span>to </span><span>±</span><span>23%</span><span>. The actual effect of the improved MACH filter algorithm has been confirmed very well</span><span>.</span><span> <o:p></o:p></span></p> </div>

Two organophosphorus pesticides: methyl parathion and dicapthon

2014 ◽  
Vol 70 (10) ◽  
pp. 975-977
Author(s):  
Russell G. Baughman ◽  
Gabriel B. Hall
Keyword(s):  
Torsion Angle ◽  
Methyl Parathion ◽  
Organophosphorus Pesticides ◽  
Angular Distortion ◽  
Dihedral Angles ◽  
Structural Studies ◽  
Related Compounds

Structural studies performed in this laboratory of organophosphorus pesticides continue with these related compounds. The –NO2groups of methyl parathion (systematic name: dimethyl 4-nitrophenyl phosphorothioate, C8H10NO5PS) and dicapthon (systematic name: 2-chloro-4-nitrophenyl dimethyl phosphorothioate, C8H9ClNO5PS) make dihedral angles of 10.67 (8) and 5.8 (1)°, respectively, with the planes of their attached rings, which accompanies angular distortion at the ring C atoms to which the –NO2groups are attached. Similar distortions are observed at the C atom to which the thiophosphate groups are attached. Significant differences in distances and angles around the phenolic O,versusthe –OMe groups, explain why it is the site of hydrolysis for these compounds. A comparison of a torsion angle involving the thiophosphate group and phenolic O atom with similar pesticide structures is given and indicates steric influences on that angle.

scholarly journals Experimental and Numerical Study on Effect of Weld Reinforcement on Angular Distortion of SAW Square Butt Welded Plates

2018 ◽  
Vol 36 (2) ◽  
pp. 48-59 ◽  
Author(s):  
H. K. Narang ◽  
M. M. Mahapatra ◽  
P. K. Jha ◽  
PVSS Sridhar ◽  
P. Biswas
Keyword(s):  
Numerical Study ◽  
Angular Distortion

scholarly journals Numerical modelling of pile foundation angular distortion

2015 ◽  
Vol 55 (3) ◽  
pp. 614-625 ◽  
Author(s):  
Brian B. Sheil ◽  
Bryan A. McCabe
Keyword(s):  
Numerical Modelling ◽  
Pile Foundation ◽  
Angular Distortion
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