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Adaptive prediction of pavement performance
| dc.creator | Zulyaminayn, Mohammed | |
| dc.date.accessioned | 2012-06-07T23:19:46Z | |
| dc.date.available | 2012-06-07T23:19:46Z | |
| dc.date.created | 2002 | |
| dc.date.issued | 2002 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-2002-THESIS-Z65 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references (leaves 71-73). | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | A Visual Basic 6.0[TM] computer program for adjusting family performance curves in making reasonable predictions of individual pavement section performance has been developed under this study. The methodology formulated under Texas Department of Transportation (TxDOT) research project no. 0-4186 has been followed to adjust the family performance curves. It is assumed that pavement layer information and date of construction will be known. The appropriate performance curve, along with its basic curve modifiers α, p and β, can be selected from the family of performance curves. When the observed pavement performance does not match the family performance curve, the parameter [x] in the performance equation is varied to adjust the performance curve. This adjustment is considered for each category of pavement distress separately. The computer program has been tested using field data from Long Term Pavement Performance Project (LTPP) and TxDOT Pavement Management Information System (PMIS) data collected on highway sections in Texas. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | civil engineering. | en |
| dc.subject | Major civil engineering. | en |
| dc.title | Adaptive prediction of pavement performance | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | civil engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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