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dc.contributor.advisorTran, Dan
dc.contributor.authorMohamed, Mamdouh
dc.date.accessioned2023-05-23T15:11:33Z
dc.date.available2023-05-23T15:11:33Z
dc.date.issued2022-05-31
dc.date.submitted2022
dc.identifier.otherhttp://dissertations.umi.com/ku:18260
dc.identifier.urihttps://hdl.handle.net/1808/34205
dc.description.abstractThe quality and durability of highway construction projects have been a major concern to highway agencies and contractors. Quality assurance (QA) of highway construction is defined as a tool or means by which the owner and contractors ensure that the roads are constructed in accordance with approved plans and specifications by the most economical, efficient, and safe method. To ensure the quality of highway construction projects, transportation agencies typically perform a series of tests for construction materials and inspect workmanship processes through their QA programs. Transportation agencies face the critical challenge of increased demand for highway system rehabilitation and construction work with limited inspection resources. These resources play a crucial role in asserting the quality of highway projects. The shortage of experienced QA inspection staff due to retirement or migration to the private sector has significantly impacted construction inspection capabilities. The objective of this dissertation is to develop a risk-based inspection (RBI) framework. This framework optimizes inspection and testing activities of highway construction projects based on criticality. It introduces a core list of QA inspection and testing activities for the rigid pavement, flexible pavement, bridge deck, and structural concrete. This list highly contributes to the QA of design service life and long-term performance of the highway. The prioritized list of activities may help transportation agencies allocate their limited resources to the most critical construction operations. Additionally, this dissertation provides a RBI model that serves as a risk assessment tools for highway construction quality levels and identifies causes of any quality shortfall. Bayesian belief network (BBN), fuzzy set (FS) theory, and Delphi techniques have been applied to develop the RBI model. Further, this dissertation discusses different strategies to alleviate the risk of highway construction inspection.
dc.format.extent170 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectCivil engineering
dc.subjectBayesian belief networks
dc.subjectFuzzy set
dc.subjectHighway
dc.subjectQuality assurance
dc.subjectRisk-based inspection
dc.titleA Risk-Based Model for Construction Inspection in Highways
dc.typeDissertation
dc.thesis.degreeDisciplineCivil, Environmental & Architectural Engineering
dc.thesis.degreeLevelPh.D.
dc.identifier.orcidhttps://orcid.org/0000-0003-3063-3864en_US
dc.rights.accessrightsopenAccess


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