Results 121 to 130 of about 288 (174)

Innovative Machine Learning Approaches for Predicting the Asphalt Content During Marshall Design of Asphalt Mixtures. [PDF]

Materials (Basel)
Al-Ammari M, Dong R, Nasser M, Al-Maswari A.   +3 more
europepmc   +1 more source

Influence of coal liquefaction residues as fine aggregate substitution on asphalt mixture performance and adsorption characteristics. [PDF]

Sci Rep
Wang Z, Wang Z, Guo S, Sha C, Yang Y, Zhang M, Zhou X, Wang P.   +7 more
europepmc   +1 more source

Comparison of LTPP-Bind V3.1 and MEPDG for the Selection of Binder Grades

, 2019
openaire   +2 more sources

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Exploratory analysis of LTPP faulting data using statistical techniques

Construction and Building Materials, 2021
Abstract Long-Term Pavement Performance (LTPP) database that stores considerable and free-to-access pavement information provides beneficial resources to researchers to develop transverse joint faulting prediction models that are very useful for joint concrete pavement design, rehabilitation and management.
Robert L Lytton
exaly   +2 more sources

A LTPP study with a new device for vertical deformation measurements

International Journal of Pavement Engineering, 2005
On the occasion of rehabilitating the heavily travelled Swiss motorway A1 between Zurich and Bern with SMA, a long-term pavement performance study was initiated in 1998, combining permanent in situ measurements, periodic inspections and selected laboratory tests on pavement samples.
Manfred Partl
exaly   +2 more sources

LTPP Rigid Pavement FWD Deflection Analysis and Backcalculation Procedure

2000
This paper presents the results of a falling weight deflectometer (FWD) deflection analysis study performed as a part of data analysis study under the Long-Term Pavement Performance (LTPP) program. The paper presents backcalculation procedures for rigid pavements adapted in this study and discusses the results of backcalculation.
L Khazanovich, TJ McPeak, SD Tayabji
exaly   +2 more sources

Multi-input performance prediction models for flexible pavements using LTPP database

Innovative Infrastructure Solutions, 2020
Pavement performance prediction is a primary concern for pavement researchers and practitioners. The impact of climatic conditions and traffic characteristics on pavement performance is indisputable. The main objective of this study is to investigate the combined effect of both climate and traffic loading on pavement performance.
Ragaa T Abd El-Hakim
exaly   +2 more sources

Resilient Modulus Testing of Unbound Materials: LTPP's Learning Experience

2003
Resilient modulus is a key data element for characterizing unbound pavement materials within the LTPP program. Although the test has been around for nearly three decades, its implementation within the program has been a challenge. A suitable test protocol was not available when the program began in 1987.
GR Rada, JL Groeger, PN Schmalzer, A Lopez   +3 more
exaly   +2 more sources