Conference proceeding
System-identification of multi-domain (human, natural, and engineered) infrastructure systems
BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, pp.1265-1268
01 Jan 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Existing infrastructure management approaches have led to unintended consequences as a result of unforeseen interactions among human, natural, and engineered systems. Holistic, lifecycle asset management approaches are needed that are based on systems-level thinking, yet archive and maintain data on the component level. This paper describes a five step process for the design of such a holistic asset management system. The process begins at the system level with a consideration of decision making processes, interactions among systems, data collection, and forecasting needs. These systemic needs are then used to design a database and user interface to provide the information needed for holistic, lifecycle management of infrastructure systems.
Metrics
2 Record Views
Details
- Title
- System-identification of multi-domain (human, natural, and engineered) infrastructure systems
- Creators
- A. R. Pradhan - Drexel Univ, Philadelphia, PA 19104 USAP. L. Gurian - Drexel UniversityF. A. Montalto - Drexel UniversityF. Moon - Drexel Univ, Philadelphia, PA 19104 USAA. E. Aldan - Drexel Univ, Philadelphia, PA 19104 USA
- Contributors
- D M Frangopol (Editor)R Sause (Editor)C S Kusko (Editor)
- Publication Details
- BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE-CYCLE OPTIMIZATION, pp.1265-1268
- Publisher
- Taylor & Francis
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Center for Public Policy
- Identifiers
- 991019170557204721
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web of Science research areas
- Engineering, Civil
- Engineering, Mechanical
- Materials Science, Characterization & Testing