Title

Performance Modeling Of Spatio-Temporal Algorithms Over Geds Framework

Abstract

It is widely accepted and acknowledged that the civil infrastructure systems (CIS) all around the world are aging and becoming more vulnerable to damage and deterioration. As an example, many of the 600,000 highway bridges existing today in the United States were constructed from 1950 to 1970 for the interstate system. Having an approximately 50 year design life, most of these bridges are either approaching or have surpassed their intended design life (Figure 12.1). Highway agencies are struggling to keep up with the increasing demands on their highways, and deteriorating bridges are becoming severe choke points in the transportation network. It is estimated that more than 25% of the bridges in the United States (∼150,000) are either structurally deficient or functionally obsolete and that it will cost $1.6 trillion to eliminate all bridge deficiencies in the United States. In addition to highways and bridges, similar problems exist for other CIS such as buildings, energy systems, dams, levees, and water systems. Degradations, accidents, and failures indicate that there is an urgent need for complementary and effective methods for current assessment and evaluation of the CIS. At this point, structural health monitoring (SHM) offers a very promising tool for tracking and evaluating the condition and performance of different structures and systems by means of sensing and analysis of objective measurement data.

Publication Date

1-1-2012

Publication Title

International Journal of Grid and High Performance Computing

Volume

4

Number of Pages

63-84

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.4018/jghpc.2012070104

Socpus ID

85001578744 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85001578744

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