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Milo L Clauson

from Corvallis, OR
Age ~76
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Related to:
Florence O WillisKale M Clauson, 42Emily Jane WillisCharlotte C Meredith, 79Stephen E Willis, 74
Connected to:
Bethany E Clauson, 50Carol L Clauson, 79Cheryl A Clauson, 56Cynthia A Clauson, 72David J Clauson, 58Doug W Clauson, 45Erin L Clauson, 35Hailey Clauson, 29Jonathan R Clauson, 42Kris Clauson, 57

Milo Clauson Phones & Addresses

  • 921 NW 28Th St, Corvallis, OR 97330
  • Monmouth, OR
  • Bandon, OR

Work

Company: Oregon state university Position: Sr. faculty researcher

Skills

Data Analysis • Statistics • Research • Microsoft Excel • Science • Matlab

Industries

Civil Engineering

Resumes

Resumes

Milo Clauson Photo 1

Senior Faculty Researcher

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Location:
Corvallis, OR
Industry:
Civil Engineering
Work:
Oregon State University
Sr. Faculty Researcher
Skills:
Data Analysis
Statistics
Research
Microsoft Excel
Science
Matlab

Publications

Us Patents

Method And Apparatus For Testing Material Strengths

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US Patent:
56211724, Apr 15, 1997
Filed:
Apr 3, 1995
Appl. No.:
8/415500
Inventors:
James B. Wilson - Corvallis OR
Milo L. Clauson - Corvallis OR
Assignee:
State of Oregon Acting by and through the State Board of Higher
Education on Behalf of Oregon State University - Eugene OR
International Classification:
G01N 2920
US Classification:
73579
Abstract:
An apparatus and a non-destructive method for evaluating material strengths is described. One embodiment of the apparatus comprises a waveform generator that generates either (1) a sinusoidal waveform having a frequency that sweeps from a low frequency to a high frequency, or a high frequency to a low frequency, wherein the low frequency is from about 10 Hz to about 150 Hz, and the high frequency is from about 6,000 Hz to about 24,000 Hz, or (2) a pseudo random within the frequency range of from about 150 Hz to about 6,000 Hz. An electromechanical driver is electronically linked to the waveform generator and mechanically coupled to a test material, particularly in-service utility poles, at a drive position. Force and acceleration sensors are coupled to the test material at various positions. A microprocessor is used to collect digitized data from the force sensor and the accelerometers, perform a transfer function and determine the strength remaining in the test material using a neural network model.
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Milo L Clauson from Corvallis, OR, age ~76 Get Report