Show simple item record

dc.contributor.authorBu, Guoping
dc.contributor.authorLee, Jaeho
dc.contributor.authorGuan, Hong
dc.contributor.authorBlumenstein, Michael
dc.contributor.authorLoo, Yew-Chaye
dc.date.accessioned2018-03-27T01:30:43Z
dc.date.available2018-03-27T01:30:43Z
dc.date.issued2014
dc.date.modified2014-07-07T22:14:10Z
dc.identifier.issn0887-3828
dc.identifier.doi10.1061/(ASCE)CF.1943-5509.0000421
dc.identifier.urihttp://hdl.handle.net/10072/61101
dc.description.abstractProbabilistic deterioration models such as state-based and time-based models are only capable of predicting future bridge condition ratings when a sufficient amount of condition data and reasonable data distribution are available. However, such are usually difficult to acquire from limited bridge inspection records. As a result, these probabilistic models cannot guarantee reliable long-term prediction for each of the bridge elements concerned. To minimise this shortcoming, this paper proposes an advanced integrated method to construct workable transition probabilities for predicting long-term bridge performance. A selection process within this method automatically chooses a suitable prediction procedure for a given situation in terms of available inspection data. The Backward Prediction Model (BPM) is also incorporated to effectively predict the bridge performance when sufficient inspection data is unavailable. Four different situations in regard to the available inspection data are predefined in this study to demonstrate the capabilities of the proposed integrated method. The outcomes show that the method can help develop an effective prediction model for various situations in terms of the quantity and distribution of available condition rating data. CE Database subject headings: Bridges; Deterioration; Performance; Predictions.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1120266 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherAmerican Society of Civil Engineers
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom330
dc.relation.ispartofpageto340
dc.relation.ispartofissue2
dc.relation.ispartofjournalJournal of Performance of Constructed Facilities
dc.relation.ispartofvolume28
dc.rights.retentionY
dc.subject.fieldofresearchInfrastructure Engineering and Asset Management
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchInterdisciplinary Engineering
dc.subject.fieldofresearchcode090505
dc.subject.fieldofresearchcode0905
dc.subject.fieldofresearchcode0915
dc.titleDevelopment of an Integrated Method for Probabilistic Bridge-Deterioration Modeling
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Engineering and Built Environment
gro.rights.copyright© 2014 American Society of Civil Engineers (ASCE). This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorLoo, Yew-Chaye
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorGuan, Hong
gro.griffith.authorLee, Jaeho
gro.griffith.authorBu, Guoping


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record