Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 116
Book Description
Pavement faulting study
Author: California PCC Pavement Faulting Studies : a Summary
Author: B. F. NealPublisher:
ISBN:
Category : Pavements, Concrete
Languages : en
Pages : 54
Book Description
California Pavement Faulting Study
Author: Donald L. SpellmanPublisher:
ISBN:
Category : Pavements
Languages : en
Pages : 146
Book Description
Pavement faulting study extend and severity of pavement faulting in Georgia
Author: Wouter GuldenPavement Faulting Study
Author: Wouter GuldenCalifornia Pavement Faulting Study
Author: California. Division of HighwaysPublisher:
ISBN:
Category : Pavements
Languages : en
Pages : 134
Book Description
Fault-removal Procedures for Rigid Pavements
Author: John M. VycePublisher:
ISBN:
Category : Grinding and polishing
Languages : en
Pages : 44
Book Description
This study was initiated to determine the most efficient method of rehabilitating faulted joints. Two methods of removing faults were investigated: (1) physically lifting slabs and grouting beneath them, and (2) diamond-blade grinding. Lifting and grouting proved difficult and time-consuming and did not completely remove all faulting, but grinding produced a level profile across the joints.
Long-term Pavement Performance, Automated Faulting Measurement
Author: Mahesh AgurlaPublisher:
ISBN:
Category : Pavements
Languages : en
Pages : 30
Book Description
This study focused on identifying transverse joint locations on jointed plain concrete pavements using an automated joint detection algorithm and computing faulting at these locations using Long-Term Pavement Performance (LTPP) Program profile data collected by the program's high-speed inertial profilers (HSIP). This study evaluated two existing American Association of State Highway and Transportation Officials R 36-12 automated faulting measurement (AFM) models: ProVAL (Method-A) and Florida Department of Transportation (FDOT) PaveSuite (Method-B). A new LTPP AFM was developed using LTPP profile data. The LTPP AFM is an automated algorithm to identify joint locations where faulting is also computed for each joint identified to replicate the manually collected faulting data using the Georgia Faultmeter (GFM), which has been used on LTPP test sections since the program's inception. The study compared the LTPP manual faulting measurements collected using the GFM with the ProVAL AFM and the LTPP AFM using LTPP profile data. Similarly, the FDOT GFM measurements were compared with the FDOT PaveSuite AFM and the LTPP AFM using the same FDOT profile data. The initial results for six LTPP test sections show that the LTPP AFM can identify joint locations with a joint detection rate (JDR) ranging from 95 to 100 percent. ProVAL's JDR range is from 58 to 99 percent for the same six LTPP test sections. Similarly, for the one FDOT test section available, the LTPP AFM's and FDOT PaveSuite's JDRs are approximately 96 percent. This study outlines the LTPP AFM algorithm, discusses the comparison of the three AFM results, and recommends future research needs in this area.
Distress Identification Manual for the Long-term Pavement Performance Project
Author: Publisher: Strategic Highway Research Program (Shrp)
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 164
Book Description
Performance Evaluation of Drained Pavement Structures
Author: T. S. RutkowskiPublisher:
ISBN:
Category : Pavements, Concrete
Languages : en
Pages : 46
Book Description
This research study focused on positive drainage of pavement structures. The open-graded base course concepts included non-stabilized, asphalt cement concrete (AC) stabilized and portland cement concrete (PCC) stabilized. Drainage systems included pipe in trenches, fin-type, pipe beneath transverse joints and retrofitted pipe. Non-drainage elements included 3.05 m (14 ft) wide driving lanes, and a 30.48 cm (12 in.) layer of "select embankment". Twelve projects were monitored, both portland cement concrete surface and asphaltic concrete surface. Measurement surveys included Pavement Distress Index (PDI), transverse joint faulting, International Roughness Index (IRI) ride quality, and coring at the transverse joints.