File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1061/(ASCE)TE.1943-5436.0000018
- Scopus: eid_2-s2.0-68049084706
- WOS: WOS:000268067100006
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Framework development of performance prediction models for concrete bridges
Title | Framework development of performance prediction models for concrete bridges |
---|---|
Authors | |
Keywords | Best management practice Bridge maintenance Bridges, concrete Markov process Predictions |
Issue Date | 2009 |
Publisher | American Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/te.html |
Citation | Journal Of Transportation Engineering, 2009, v. 135 n. 8, p. 545-554 How to Cite? |
Abstract | Sound performance prediction models are essential for maintenance decision making in bridge management systems (BMSs). Markov chain models have been extensively used for performance prediction in BMSs. However, these models have some limitations, for example, being previously based on constant inspection time intervals and/or on the Markov property assumption. Furthermore, these models do not make reference to the region-specific nature of the available condition data that may affect their effectiveness and applicability. This paper identifies some limitations of the Markov performance prediction models used in many state-of-the-art BMSs and proposes a framework that can address these limitations. The developed framework incorporates the semi-Markov approach in addition to the widely used Markov chain modeling. This combined approach is expected to improve the effectiveness and applicability of performance prediction models. © 2009 ASCE. |
Persistent Identifier | http://hdl.handle.net/10722/71129 |
ISSN | 2018 Impact Factor: 1.520 2020 SCImago Journal Rankings: 0.571 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yang, YN | en_HK |
dc.contributor.author | Pam, HJ | en_HK |
dc.contributor.author | Kumaraswamy, MM | en_HK |
dc.date.accessioned | 2010-09-06T06:29:10Z | - |
dc.date.available | 2010-09-06T06:29:10Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Journal Of Transportation Engineering, 2009, v. 135 n. 8, p. 545-554 | en_HK |
dc.identifier.issn | 0733-947X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/71129 | - |
dc.description.abstract | Sound performance prediction models are essential for maintenance decision making in bridge management systems (BMSs). Markov chain models have been extensively used for performance prediction in BMSs. However, these models have some limitations, for example, being previously based on constant inspection time intervals and/or on the Markov property assumption. Furthermore, these models do not make reference to the region-specific nature of the available condition data that may affect their effectiveness and applicability. This paper identifies some limitations of the Markov performance prediction models used in many state-of-the-art BMSs and proposes a framework that can address these limitations. The developed framework incorporates the semi-Markov approach in addition to the widely used Markov chain modeling. This combined approach is expected to improve the effectiveness and applicability of performance prediction models. © 2009 ASCE. | en_HK |
dc.language | eng | en_HK |
dc.publisher | American Society of Civil Engineers. The Journal's web site is located at http://www.pubs.asce.org/journals/te.html | en_HK |
dc.relation.ispartof | Journal of Transportation Engineering | en_HK |
dc.rights | Journal of Transportation Engineering. Copyright © American Society of Civil Engineers. | en_HK |
dc.subject | Best management practice | en_HK |
dc.subject | Bridge maintenance | en_HK |
dc.subject | Bridges, concrete | en_HK |
dc.subject | Markov process | en_HK |
dc.subject | Predictions | en_HK |
dc.title | Framework development of performance prediction models for concrete bridges | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0733-947X&volume=135 No 8&spage=545&epage=554&date=2009&atitle=Framework+Development+of+Performance+Prediction+Models+for+Concrete+Bridges | en_HK |
dc.identifier.email | Pam, HJ:pamhoatjoen@hku.hk | en_HK |
dc.identifier.email | Kumaraswamy, MM:mohan@hkucc.hku.hk | en_HK |
dc.identifier.authority | Pam, HJ=rp00071 | en_HK |
dc.identifier.authority | Kumaraswamy, MM=rp00126 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1061/(ASCE)TE.1943-5436.0000018 | en_HK |
dc.identifier.scopus | eid_2-s2.0-68049084706 | en_HK |
dc.identifier.hkuros | 164571 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-68049084706&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 135 | en_HK |
dc.identifier.issue | 8 | en_HK |
dc.identifier.spage | 545 | en_HK |
dc.identifier.epage | 554 | en_HK |
dc.identifier.isi | WOS:000268067100006 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Yang, YN=35217441200 | en_HK |
dc.identifier.scopusauthorid | Pam, HJ=6602976141 | en_HK |
dc.identifier.scopusauthorid | Kumaraswamy, MM=35566270600 | en_HK |
dc.identifier.citeulike | 5174923 | - |
dc.identifier.issnl | 0733-947X | - |