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dc.contributor.authorDavid E. Kosnik
dc.contributor.authorWeizeng Zhang
dc.contributor.authorPablo L. Durango-Cohen
dc.date.accessioned2017-05-08T21:53:56Z
dc.date.available2017-05-08T21:53:56Z
dc.date.copyrightMarch 2014
dc.date.issued2014
dc.identifier.other%28asce%29la%2E1943-4170%2E0000021.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/65757
dc.description.abstractThe authors apply a statistical process control framework to support structural health monitoring of the Grace Church building in Charleston, South Carolina. Specifically, they conduct a post-hoc analysis of displacement data acquired via remote monitoring of delamination between two wythes of brick in a clerestory wall. The framework consists of formulation and estimation of statistical models to explain the progression of the measurements under ordinary conditions and use of control charts to detect unusual events. One such event was excessive displacement in September 2011 that led the engineer of record to close the building to public access and order immediate repairs. The analysis also reveals a few unusual events that were not apparent from visual interpretation of the data, including a possible precursor to the aforementioned event.
dc.publisherAmerican Society of Civil Engineers
dc.titleApplication of Statistical Process Control for Structural Health Monitoring of a Historic Building
dc.typeJournal Paper
dc.journal.volume20
dc.journal.issue1
dc.journal.titleJournal of Infrastructure Systems
dc.identifier.doi10.1061/(ASCE)IS.1943-555X.0000164
dc.treeJournal of Infrastructure Systems:;2014:;Volume ( 020 ):;issue: 001
dc.contenttypeFulltext


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