Larry William Purnell
Engineers at Wall St, Spokane, WA

License number
Colorado 15180
Issued Date
Oct 20, 1977
Renew Date
Jan 8, 1981
Expiration Date
Jan 8, 1981
Type
Professional Engineer
Address
Address
221 Wall St SUITE 446, Spokane, WA 99201

Personal information

See more information about Larry William Purnell at radaris.com
Name
Address
Phone
Larry Purnell
1614 Gordon Rd, Yakima, WA 98901
Larry Purnell
1614 1St Ave, Yakima, WA 98902

Professional information

See more information about Larry William Purnell at trustoria.com
Larry Purnell Photo 1
Pavement Inspection Apparatus

Pavement Inspection Apparatus

US Patent:
4958306, Sep 18, 1990
Filed:
Jan 6, 1988
Appl. No.:
7/141248
Inventors:
Joseph P. Powell - Veradale WA
Donald L. Bender - Spokane WA
Sam C. Saunders - Pullman WA
Larry W. Purnell - Spokane WA
Anwar S. Khattak - Spokane WA
Assignee:
Pacific Northwest Research & Development, Inc. - Spokane WA
International Classification:
G01B 1100, G01N 340
US Classification:
364550
Abstract:
A pavement inspection apparatus 10 is described for inspecting the condition of a full lane of pavement using a vehicle capable of traveling along the lane at normal traffic speeds, such as 55 miles per hour. The apparatus is capable of determing the elevational profile of the pavement and the size and shapes of surface distress features such as longitudinal cracks, transverse cracks, aligator cracks, design cracks, potholes and rutting. The apparatus 10 has two video array cameras 36 and 40 that project downward onto the pavement with overlapping fields of view for generating X-Y pixel data representing the intensities of reflected light from a full lane width of pavement as the vehicle moves over the pavement. The cameras 36 and 40 are mounted at acute angles with respect to each other to enable an elevational profile to be developed for the pavement from correlated pixel data from the two cameras. The apparatus 10 includes distress feature analysis electronics for determining the size, shape and location of surface distress features and evaluates such features against preset values to determine the severity of the determined features.