Development of Parameters for Dynamic Modeling of Underground Haulage Vehicles
Public Domain
-
2016/11/11
-
-
Series: Mining Publications
Details
-
Personal Author:
-
Description:To address concerns of how mobile proximity detection systems will adapt to underground mobile haulage vehicles, researchers have collected and categorized data on the parameters of 145 mine haulage vehicles in 5 categories including load-haul-dump, shuttle car, roof bolter, haul truck, and mobile coal haulage (face drill, production drill, and others.) Statistical methods were used to determine the appropriate representative vehicle for each category. These representative vehicles' parameters and characteristics could then be used to develop a dynamic model that predicts their dynamic behavior on an underground haulageway surface. These models can be used in conjunction with worker escapability data and/or interaction with other vehicles to provide insight as to whether or not the proximity detection systems will be adequate for the underground mining workplace. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
Series:
-
ISBN:9780791850664
-
Publisher:
-
Document Type:
-
Genre:
-
Place as Subject:
-
CIO:
-
Division:
-
Topic:
-
Location:
-
Volume:12
-
NIOSHTIC Number:nn:20050115
-
Citation:Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition (IMECE2016), November 11-17, 2016, Phoenix, Arizona. New York: The American Society of Mechanical Engineers, 2016 Nov; 12:IMECE2016-65381
-
Contact Point Address:Peter T. Bissert, National Institute for Occupational Safety and Health, Pittsburgh, PA, USA
-
Federal Fiscal Year:2017
-
NORA Priority Area:
-
Peer Reviewed:False
-
Source Full Name:Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition (IMECE2016), November 11-17, 2016, Phoenix, Arizona
-
Collection(s):
-
Main Document Checksum:urn:sha-512:dc4a344c72b109fc4a520de136c22970a2585f2a240f05220a86117bd8e2167ecdc51181d77cc7866bf5b5dea54d20ae9f7fac382115ed8f84c58356de300412
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like