Pavement Preservation Journal - Winter 2009 - (Page 38)

Iowa State Hosts Grad Course in System Asset Management By Omar Smadi and Waddah Akili sset Management of civil infrastructure facilities and systems is gaining importance both in practice and academia as the public demands increased accountability in government, laws are passed requiring infrastructure asset management use, and growth and development accelerate the deterioration of already aged infrastructure. In response, more agencies adopt and develop their asset management practices and more academic institutions and continuing education programs develop courses and programs in civil infrastructure asset management. There are several transportation asset management courses being taught as part of undergraduate or graduate curricula or continuing education programs in the U.S. and the international community. In addition, a few institutions have succeeded in developing programs in infrastructure asset management, one being Iowa State University (ISU) at Ames. This summary describes a graduate level class on the topic of infrastructure asset management at the Civil, Construction, and Environmental Engineering department at ISU. The class is offered mainly to civil engineering and transportation planning graduate students. Main elements of the class include: • Condition Assessment. This topic covers the basic concepts of condition assessment covering items such as: system inventory, asset condition, condition segmentation, and quality assurance and quality control (QA/QC). • Performance Prediction. This material covers all aspects of performance modeling dealing with assets such as pavements, bridges, pavement marking, draining systems, railroad tracks and more. Deterministic and probabilistic models are discussed, and their impact on the decision making process are explained. • Data Integration. Covers the different aspects of how data integration techniques are used to address integration issues, to facilitate integration of data among different management systems (pavement, bridge, safety), and to allow decision makers to have a comprehensive look at their infrastructure needs. 38 pavement preservation journal Winter 2009 • Decision Support Tools. Techniques ranging from prioritization, multi-year heuristics and true optimization are presented using real examples from large and medium transportation agencies. The assignment for this class covered the use of a simple linear program in order to select the lowest life cycle cost for selecting alternatives for a paving project. • Management Systems. (Pavement, bridges, signs, pavement marking.) The major components of the different management are discussed, and examples are presented to cover the different aspects of theses system. The interaction between pavement maintenance (preservation) and pavement management is explained. Integrated decision making covering the different assets is discussed. This provided the basis of the class project. • Advanced Technologies in Asset Management. This is a brief overview of some of the advanced technologies such as: geographic information systems (GIS), global positioning systems (GPS) and database management tools. Examples utilizing data from the Iowa DOT and the Iowa Pavement Management Program are utilized to deliver the basic concepts. • Economic Tools, Valuation and GASB 34. More topics are presented on the economic analysis and the important roles these models play in the infrastructure asset management area. Economic tools such as HERSST are presented and examples from DOT applications are discussed. GASB 34 requirements are discussed, and the depreciation and modified approaches are presented. Valuation is used in presenting the second component of the class project. To take advantage of these topics, several special assignments and a comprehensive class project are required from the students. The assignments address basic aspects of the asset management system development, implementation and partial operation. Real data from different state and local agencies’ applications convey the intended learning component. The assignments include: • Performance Modeling. This group assignment focused on building performance models based on field data. Missing information, data that didn’t conform to the average condition and other factors were present and

Table of Contents for the Digital Edition of Pavement Preservation Journal - Winter 2009

Pavement Preservation Journal - Winter 2009
President’s Message
International Preservation Conference to Feature Flexible, Rigid Pavements
A Tribute to Jim Sorenson
Add Pavement Preservation to Boost Pavement Management
L.A. Street Preservation: It’s For, and About, the Public
StreetSaver Software Key to Bay Area Asset Management, Regional Fund Distribution
Integrating Pavement Preservation Practices
Revised Manual Provides Basics of Asphalt in Preservation
International Road Federation Hears from Lone Star State on Pavement Preservation
Iowa State Hosts Grad Course in System Asset Management
A New FP2 for Changing Times
Stimulus Package Boosts Preservation in Northeast
Calendar of Events
Index to Advertisers

Pavement Preservation Journal - Winter 2009