Scott D Batterman, Age 64109 Charlann Cir, Cherry Hill, NJ 08003

Scott Batterman Phones & Addresses

109 Charlann Cir, Cherry Hill, NJ 08003 (856) 424-3775 (856) 424-3781

Philadelphia, PA

Ocean City, NJ

109 Charlann Cir, Cherry Hill, NJ 08003

Mentions for Scott D Batterman

Scott Batterman resumes & CV records

Resumes

Scott Batterman Photo 11

Fellow

Location:
Cherry Hill, NJ
Industry:
Non-Profit Organization Management
Work:
Temple University Jan 2010 - Dec 2014
Adjunct Professor, Department of Mechanical Engineering
Batterman Engineering Jan 2010 - Dec 2014
Member and Partner
American Academy of Forensic Sciences Jan 2010 - Dec 2014
Fellow
Education:
University of Pennsylvania 1984 - 1989
Doctorates, Doctor of Philosophy, Mechanical Engineering
University of Pennsylvania 1982 - 1984
Master of Science, Masters, Civil Engineering
University of Pennsylvania 1978 - 1982
Bachelor of Science In Engineering, Bachelors, Engineering
Skills:
Mechanical Engineering, Biomechanics, Expert Witness, Research, Product Liability, Science, Public Speaking, Forensic Analysis, Failure Analysis, Analysis, Legal Research, Investigation, Teaching, Accident Reconstruction, Report Writing, University Teaching, Microsoft Office, Legal Writing, Forensic Engineering, Lecturing, Finite Element Analysis, Civil Engineering, College Teaching, Patents, Statistics
Interests:
Engineering Education
Structural Engineering
Products Liability
Accident Reconstruction
Biomechanics of Injury
Forensic Engineering
Slip and Fall Analysis
Scott Batterman Photo 12

Scott Batterman

Scott Batterman Photo 13

Scott Batterman

Location:
United States

Publications & IP owners

Us Patents

Method And System For Determining Occurrence Of Slips Leading To Falls

US Patent:
2005022, Oct 6, 2005
Filed:
Apr 6, 2004
Appl. No.:
10/818921
Inventors:
Scott Batterman - Cherry Hill NJ, US
Steven Batterman - Cherry Hill NJ, US
International Classification:
G06F017/00
US Classification:
702181000
Abstract:
The present invention provides a system and method for the prediction of macroslip on walkway surfaces. The slip prediction is based on a viscous shear model and incorporates anthropometric characteristics of an individual or substantially similar grouping of individuals as well as properties of the walkway surface. In the shear model, the prediction of slip is a function of walking speed, stride length and other anthropometric factors which affect gait, as well as the friction (shear) forces that develop at the shoe-floor interface. Mathematical relationships are developed relating the forward walking speeds to the stride lengths necessary for the onset of macroslip. Curves are then plotted which enable the prediction of macroslip for various footwear and walkway surface combinations under both wet and dry conditions.

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