Assessment of Construction Smoothness Specification Pay Factor Limits Using Artificial Neural Network Modeling-Reference-Cited by-同舟云学术

Assessment of Construction Smoothness Specification Pay Factor Limits Using Artificial Neural Network Modeling

Published:2005-07 Issue:7 Volume:131 Page:563-570
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Chou Shao-Fan¹²,Pellinen Terhi K.¹²

Affiliation:

1. Graduate Research Assistant, School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907-2051.

2. Assistant Professor, School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907-2051.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282005%29131%3A7%28563%29

Reference18 articles.

1. Carey W. N. and Irick P. E. (1960). “The pavement serviceability-performance concept.” Transp. Res. Rec.TRREDM0361-1981 250 Transportation Research Board Washington D.C. 40–58.

2. Devore J. Hossain M. and Parcells W. (1995). “Automated system for pavement profile analysis from profilograph traces.” Transp. Res. Rec.TRREDM0361-1981 1505 Transportation Research Board Washington D.C. 47–56.

3. Federal Highway Administration (FHWA). (1998). “Status of the nation’s highways bridges and transit: conditions and performance.” Rep. to Congress Washington D.C. ⟨http://www.fhwa.dot.gov////policy/1999cpr/index.htm⟩ accessed August 9 2003).

4. Fernando E. G. (1998). “Development of a profile-based smoothness specification for asphalt concrete overlays.” Project Summary Rep. No. 1378-S Texas Transportation Institute Texas A&M Univ. College Station Tex.

5. Hoerner T. E. Darter M. I. Khazanovith L. Titus-Glover L. and Smith K. L. (2000). “Improved prediction models for PCC pavement performance related specifications Volume I.” Final Rep. No. FHWA-RD-00-130 Federal Highway Administration Washington D.C.

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