RELATING RISKS TO PAY FACTORS FOR HIGHWAY PAVEMENTS THROUGH MONTE CARLO SIMULATION

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dc.contributor.advisorGoulias, Dimitrios Gen_US
dc.contributor.authorZhao, Yunpengen_US
dc.contributor.departmentCivil Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2020-02-06T06:35:15Z
dc.date.available2020-02-06T06:35:15Z
dc.date.issued2019en_US
dc.description.abstractThe majority of State Highway Agencies (SHAs) now employ statistical-based specifications for the acceptance of highway materials and pavement construction. The parameters of these statistical acceptance plans are specified based on engineering judgment and may result in a high level of risk to both agency and contractor. In order to appropriately apply such specifications to the pavement construction industry, the associated production quality (i.e., materials and construction variability) needs to be well understood by all parties involved and its potential impacts require to be assessed. To address this objective of this study was to: (i) quantify the risks to the agencies and contractors (i.e., Type I and Type II errors); (ii) examine how the key components in a statistical acceptance plan impact its performance; and, (iii) identify a methodology to balance the risks and pay factors. Risk and pay factor analysis were conducted for both single and multiple quality characteristics through Monte Carlo simulation, and the development of Operating Characteristic, OC, curves. Furthermore, case studies were presented to demonstrate the value of the analyses proposed in this study. The methodology and findings identified in the study can be applied elsewhere to evaluate the acceptance plans and the associated risks pertinent to pavement construction and the production of highway materials.en_US
dc.identifierhttps://doi.org/10.13016/yfiz-owjy
dc.identifier.urihttp://hdl.handle.net/1903/25534
dc.language.isoenen_US
dc.subject.pqcontrolledEngineeringen_US
dc.subject.pquncontrolledPavementen_US
dc.subject.pquncontrolledPay Factoren_US
dc.subject.pquncontrolledRisken_US
dc.subject.pquncontrolledStatistical Acceptance Planen_US
dc.titleRELATING RISKS TO PAY FACTORS FOR HIGHWAY PAVEMENTS THROUGH MONTE CARLO SIMULATIONen_US
dc.typeThesisen_US

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