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Network Level Data Collection for Asset Management of Bridge Approach Slabs
Asset management is a relatively new concept in geotechnical engineering. In general, the nature of performance data and response of structures within the realm of geotechnical engineering render the concept of asset management a valuable tool that, if effectively implemented, can lead to increased operation efficiency and cost control. Work in this paper focuses on comparing two network-level approaches for collection of data related to settlement of bridge approach slabs. These two approaches are the use of LiDAR scans and deformation profilometer. International roughness index (IRI) values and riding number (RN) values are used as output indicators of the quality of data collected in the field. Results demonstrate aspects of data collection on a network level of the bridge approach slab and summarize important features of the two approaches and data manipulation.
Network Level Data Collection for Asset Management of Bridge Approach Slabs
Asset management is a relatively new concept in geotechnical engineering. In general, the nature of performance data and response of structures within the realm of geotechnical engineering render the concept of asset management a valuable tool that, if effectively implemented, can lead to increased operation efficiency and cost control. Work in this paper focuses on comparing two network-level approaches for collection of data related to settlement of bridge approach slabs. These two approaches are the use of LiDAR scans and deformation profilometer. International roughness index (IRI) values and riding number (RN) values are used as output indicators of the quality of data collected in the field. Results demonstrate aspects of data collection on a network level of the bridge approach slab and summarize important features of the two approaches and data manipulation.
Network Level Data Collection for Asset Management of Bridge Approach Slabs
Gabr, Mohammed A. (author) / Park, Young Jin (author)
Geo-Congress 2014 ; 2014 ; Atlanta, Georgia
Geo-Congress 2014 Technical Papers ; 3383-3392
2014-02-24
Conference paper
Electronic Resource
English
Network Level Data Collection for Asset Management of Bridge Approach Slabs
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