Determination of Optimum “Multi-Channel Surface Wave Method” Field Parameters |
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Status | Complete View Final Report: PDF |
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Sequential Number | R292 | ||||
Identification Number | 00037370 | ||||
Matching Research Agency | Missouri University of Science & Technology, Civil Engineering | ||||
Principal Investigator | Neil Anderson Professor Missouri University of Science and Technology 125 McNutt Hall Rolla, MO 65401 (573) 341-4852 nanders@mst.edu |
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Student Involvement |
Funds will be used to support a PhD candidate. Graduate students will assist in the acquisition of field data. |
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Project Objective |
To statistically analyze the extent to which variations in field parameters can affect surface wave data (data quality, data utility, the output shear-wave velocity function and the output site classification). |
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Project Abstract |
Multi-channel surface wave methods (especially the m ulti-channel a nalyses of s urface w ave method; MASW) are routinely used to determine the shear-wave velocity of the subsurface to depths of 100 feet for site classification purposes. Users are aware that the output shear-wave velocity function at a specific site will vary if acquisition parameters (including array orientation, geophone spacing, shot-to-receiver offset) are varied. However, these variations have never been statistically analyzed (quantitatively or qualitatively). As part of this investigation, the researchers will acquire MASW data at multiple study areas in karst terrain with a view to statistically analyzing the extent to which variations in field parameters can affect data quality, data utility, the output shear-wave velocity function and the output site classification. |
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Anticipated Benefits |
A greater appreciation and understanding of the extent to which variations in field parameters can affect surface wave data (data quality, data utility, the output shear-wave velocity function and the output site classification). |
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Milestones |
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Relationship to other Research/Projects |
Anderson routinely acquires non-destructive imaging data in support of transportation-related investigations (geotechnical, concrete, pavement, bridge decks, utilities). |
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Technology Transfer Activities |
Presentation at conference, publication in thesis and publication in journal. |
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Transportation Research Board Keywords |
surface waves, shear wave velocities, site classification |