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author:

Fu, Gongkang (Fu, Gongkang.) [1] | You, Ji (You, Ji.) [2]

Indexed by:

EI Scopus SCIE

Abstract:

The use of short-term load data to extrapolate or project remote future maximum load has been practiced in structural design code development and/or calibration. However, this approach has not been adequately evaluated or validated because of the absence of long-term data, which is important for the structures' safety governed by these codes. In this paper, the application of such extrapolations to highway bridge design is studied by taking advantage of available long-term truck weight data obtained from the weigh-in-motion technique. A new extrapolation method is proposed from the understanding of the importance of the load probability distribution's high tail. This approach significantly reduces the mathematical length of the extrapolation/projection and thus increases its reliability. Also presented in this paper are application examples. In addition, the extrapolation process proposed is evaluated with quantitative indexes. The application of a temporal extrapolation/projection can now be evaluated by using these indexes for its reliability and appropriateness. DOI: 10.1061/(ASCE)BE.1943-5592.0000175. (C) 2011 American Society of Civil Engineers.

Keyword:

Evaluation Highway bridges Load factors Project management Statistics Trucks

Community:

  • [ 1 ] [Fu, Gongkang]Guangdong Univ Technol, Guangzhou, Guangdong, Peoples R China
  • [ 2 ] [Fu, Gongkang]Fuzhou Univ, Fuzhou 350002, Peoples R China
  • [ 3 ] [You, Ji]Tongji Univ, Res Inst Struct Engn & Disaster Reduct, Shanghai 200092, Peoples R China
  • [ 4 ] [Fu, Gongkang]IIT, Dept Civil Architectural & Environm Engn, Chicago, IL 60616 USA
  • [ 5 ] [Fu, Gongkang]Wayne State Univ, Ctr Adv Bridge Engn, Dept Civil & Environm Engn, Detroit, MI 48202 USA

Reprint 's Address:

  • 傅公康

    [Fu, Gongkang]Guangdong Univ Technol, Guangzhou, Guangdong, Peoples R China

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Source :

JOURNAL OF BRIDGE ENGINEERING

ISSN: 1084-0702

Year: 2011

Issue: 4

Volume: 16

Page: 527-535

0 . 6 2 3

JCR@2011

3 . 1 0 0

JCR@2023

ESI Discipline: ENGINEERING;

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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