Long-Term Pavement Performance Ohio SPS-1 and SPS-2 Dynamic Load Response Data Processing

Agurla, Mahesh; Lin, Sean; Engineering & Software Consultants, Inc.

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Long-Term Pavement Performance Ohio SPS-1 and SPS-2 Dynamic Load Response Data Processing

2015-03-01
By Agurla, Mahesh ; Lin, Sean

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English

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Details:

Creators:

Agurla, Mahesh ; Lin, Sean

Agurla, Mahesh ; Lin, Sean Less -
Corporate Creators:

Engineering & Software Consultants, Inc.
Corporate Contributors:

United States. Federal Highway Administration. Office of Infrastructure Research and Development
Subject/TRT Terms:

[+]

Asphalt Concrete Pavements Calibration Concrete Pavements Data Files Data Smoothing Dynamic Loads Linear Variable Differential Transformers Load Cells Location Sensors Strain Gages
Publication/ Report Number:

FHWA-HRT-14-088
Resource Type:

Tech Report
Geographical Coverage:

Ohio
Corporate Publisher:

United States. Federal Highway Administration
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-Design;NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance;
Abstract:

The dynamic load response (DLR) Study Team reinterpreted 4,290 Ohio Specific Pavement Studies (SPS)-1 (asphalt concrete pavements) raw traces and 9,240 Ohio SPS-2 (portland cement concrete pavements) raw traces, correcting the data issues identified by Long-Term Pavement Performance (LTPP) data analysis/operations feedback reports and the technical memorandum, "Investigation of Ohio DLR data in LTPP Database" for LTPP Standard Data Release (SDR) 22.0, including trace peak time lag shifts, incorrect sensor locations, and wheelpath offsets. The team calibrated and smoothed the SPS-1 and SPS-2 raw traces before categorizing those traces into three categories: good, maybe, and not good. For the SPS-1 data, approximately 24 percent of strain gauge traces, 55 percent of linear variable differential transformer (LVDT) traces, and 99 percent of pressure cell traces were categorized as good. For the SPS-2 data, only smoothed traces were categorized due to significant noise in the raw traces. Approximately 61 percent of strain gauge traces and 15 percent of LVDT traces were categorized as good. Only good traces were used for further extraction of trace peaks and valleys for SDR 27.0. In addition, the sensor locations and the corresponding wheelpath offsets were also corrected. The reinterpreted DLR data resolved the data issues and have been published in SDR 27.0. To aid future DLR data users in identifying the layout and status of each sensor from one test visit or run to another, appendices A through E show the sensor layouts in the Ohio SPS-1 and SPS-2 DLR test sections as well as the results of the 23 Ohio SPS-1 DLR tests and the 24 Ohio SPS-2 DLR tests.
Format:

PDF
Alternate URL:

https://www.fhwa.dot.gov/publications/research/infrastructure/pavements/ltpp/14088/14088.pdf
Funding:

DTFH61-12-C-00002
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha256:f25daa470cde5805c48707d85b95f97196558f2ec2539dcf9ae5a479406857dd
Download URL:

https://rosap.ntl.bts.gov/view/dot/35730/dot_35730_DS1.pdf
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Long-Term Pavement Performance Ohio SPS-1 and SPS-2 Dynamic Load Response Data Processing

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