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• W2071171448 abstract "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." @default.
• W2071171448 created "2016-06-24" @default.
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• W2071171448 date "2014-02-24" @default.
• W2071171448 modified "2023-09-23" @default.
• W2071171448 title "Network Level Data Collection for Asset Management of Bridge Approach Slabs" @default.
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• W2071171448 doi "https://doi.org/10.1061/9780784413272.329" @default.
• W2071171448 hasPublicationYear "2014" @default.
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