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Purdue University

A Methodology to Determine Non-Fixed Performance Based Thresholds for Infrastructure Rehabilitation Scheduling

Abstract

dc:description.abstract

In an era of increasing demand and loading, aging infrastructure, and funding shortfalls, infrastructure agencies continue to seek cost-effective solutions to persistent and pervasive questions regarding the upkeep of their physical assets. One such question is the appropriateness of the current fixed condition thresholds used at several agencies for rehabilitation timing purposes, whether there is the possibility of having flexible rather than fixed thresholds, and determining what these thresholds should be. A related question is how these flexible thresholds may vary, depending on the objectives of the decision maker, the relative weight of agency and user costs, and the form of expression of the life-cycle cost associated with the candidate rehabilitation schedules. Fortunately, a number of past researchers have developed inputs that are valuable for addressing this issue. Also, there exists data from in-service infrastructure that could be used to test the hypotheses regarding the sensitivity of the optimal schedules.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Civil Engineering
Year
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Murillo Hoyos, Jackeline Murillo Hoyos
Contributors dc:contributor
  • Samuel Labi
  • Kumares C. Sinha
  • Jon D. Fricker
  • Fred L. Mannering
  • Thomas Morin

Subjects

dc:subject × 6

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:docs.lib.purdue.edu:open_access_dissertations-2478

Chain of custody

source
Harvested from
Purdue University
Base URL
docs.lib.purdue.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Murillo Hoyos, Jackeline Murillo Hoyos. A Methodology to Determine Non-Fixed Performance Based Thresholds for Infrastructure Rehabilitation Scheduling. Dissertation thesis, 2016. https://docs.lib.purdue.edu/open_access_dissertations/1262