Prediction and quantification models of bridge condition in Korea

Kwang Joo Lee, Seong Hyun Park, Chang Ho Park, Kyung Hoon Park, Jun g Sik Kong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In Bridge Management Systems (BMS), the role of condition profiles is important to predict the condition in the future subject to diverse circumstances. The accuracy of the profiles is directly related to the accuracy of BMS and the reliability of the profiles is important to produce the optimal solution to distribute a maintenance budget reasonably. To predict the future condition of bridges, condition rating models based on experts' opinions have been used widely because of the lack of quantitative inspection and maintenance records. A weakness of these conventional systems is that experts' opinions are very subjective, moreover, the quality of condition profile is not good enough to be used for more advanced BMS. To overcome this limitation, an advanced regression technique is suggested to make reasonable condition profiles. To apply the suggested technique, the database of the Highway Bridge Management System (HBMS) in Korea is used and condition profiles are produced.

Original languageEnglish
Title of host publicationLife-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08
Pages589-594
Number of pages6
Publication statusPublished - 2008 Dec 1
Event1st International Symposium on Life-Cycle Civil Engineering, IALCCE'08 - Varenna, Lake Como, Italy
Duration: 2008 Jun 112008 Jun 14

Other

Other1st International Symposium on Life-Cycle Civil Engineering, IALCCE'08
CountryItaly
CityVarenna, Lake Como
Period08/6/1108/6/14

Fingerprint

Highway bridges
Inspection

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computational Mechanics

Cite this

Lee, K. J., Park, S. H., Park, C. H., Park, K. H., & Kong, J. G. S. (2008). Prediction and quantification models of bridge condition in Korea. In Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08 (pp. 589-594)

Prediction and quantification models of bridge condition in Korea. / Lee, Kwang Joo; Park, Seong Hyun; Park, Chang Ho; Park, Kyung Hoon; Kong, Jun g Sik.

Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08. 2008. p. 589-594.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Lee, KJ, Park, SH, Park, CH, Park, KH & Kong, JGS 2008, Prediction and quantification models of bridge condition in Korea. in Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08. pp. 589-594, 1st International Symposium on Life-Cycle Civil Engineering, IALCCE'08, Varenna, Lake Como, Italy, 08/6/11.
Lee KJ, Park SH, Park CH, Park KH, Kong JGS. Prediction and quantification models of bridge condition in Korea. In Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08. 2008. p. 589-594
Lee, Kwang Joo ; Park, Seong Hyun ; Park, Chang Ho ; Park, Kyung Hoon ; Kong, Jun g Sik. / Prediction and quantification models of bridge condition in Korea. Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08. 2008. pp. 589-594
@inproceedings{626231959cd94b14862d6def170290ab,
title = "Prediction and quantification models of bridge condition in Korea",
abstract = "In Bridge Management Systems (BMS), the role of condition profiles is important to predict the condition in the future subject to diverse circumstances. The accuracy of the profiles is directly related to the accuracy of BMS and the reliability of the profiles is important to produce the optimal solution to distribute a maintenance budget reasonably. To predict the future condition of bridges, condition rating models based on experts' opinions have been used widely because of the lack of quantitative inspection and maintenance records. A weakness of these conventional systems is that experts' opinions are very subjective, moreover, the quality of condition profile is not good enough to be used for more advanced BMS. To overcome this limitation, an advanced regression technique is suggested to make reasonable condition profiles. To apply the suggested technique, the database of the Highway Bridge Management System (HBMS) in Korea is used and condition profiles are produced.",
author = "Lee, {Kwang Joo} and Park, {Seong Hyun} and Park, {Chang Ho} and Park, {Kyung Hoon} and Kong, {Jun g Sik}",
year = "2008",
month = "12",
day = "1",
language = "English",
isbn = "0415468574",
pages = "589--594",
booktitle = "Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08",

}

TY - GEN

T1 - Prediction and quantification models of bridge condition in Korea

AU - Lee, Kwang Joo

AU - Park, Seong Hyun

AU - Park, Chang Ho

AU - Park, Kyung Hoon

AU - Kong, Jun g Sik

PY - 2008/12/1

Y1 - 2008/12/1

N2 - In Bridge Management Systems (BMS), the role of condition profiles is important to predict the condition in the future subject to diverse circumstances. The accuracy of the profiles is directly related to the accuracy of BMS and the reliability of the profiles is important to produce the optimal solution to distribute a maintenance budget reasonably. To predict the future condition of bridges, condition rating models based on experts' opinions have been used widely because of the lack of quantitative inspection and maintenance records. A weakness of these conventional systems is that experts' opinions are very subjective, moreover, the quality of condition profile is not good enough to be used for more advanced BMS. To overcome this limitation, an advanced regression technique is suggested to make reasonable condition profiles. To apply the suggested technique, the database of the Highway Bridge Management System (HBMS) in Korea is used and condition profiles are produced.

AB - In Bridge Management Systems (BMS), the role of condition profiles is important to predict the condition in the future subject to diverse circumstances. The accuracy of the profiles is directly related to the accuracy of BMS and the reliability of the profiles is important to produce the optimal solution to distribute a maintenance budget reasonably. To predict the future condition of bridges, condition rating models based on experts' opinions have been used widely because of the lack of quantitative inspection and maintenance records. A weakness of these conventional systems is that experts' opinions are very subjective, moreover, the quality of condition profile is not good enough to be used for more advanced BMS. To overcome this limitation, an advanced regression technique is suggested to make reasonable condition profiles. To apply the suggested technique, the database of the Highway Bridge Management System (HBMS) in Korea is used and condition profiles are produced.

UR - http://www.scopus.com/inward/record.url?scp=79952182954&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952182954&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:79952182954

SN - 0415468574

SN - 9780415468572

SP - 589

EP - 594

BT - Life-Cycle Civil Engineering - Proceedings of the 1st International Symposium on Life-Cycle Civil Engineering, IALCCE '08

ER -