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Structural Identification of Various Constructed to Inform Decisions
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Structural Identification of Various Constructed to Inform Decisions

Franklin Moon, A Aktan, David Lowdermilk and Lawrence Egan
01 Jan 2009

Abstract

With the recent collapse of the I-35 Bridge in MN, the societal challenges associated with our aging infrastructures were thrust to the Throughout the recent election season, issues, for the first time in recent memory, were alongside perennial political discussions related health care and education. These discussions and issues associated with infrastructure and renewal have resonated at both the and national levels. For example, Governors Rendell and Arnold Schwarzenegger along with Michael Bloomberg formed a non-partisan backed by the Rockefeller Foundation, aimed at infrastructure funding a national priority. In in early December of 2008, President-elect Barack indicated his administration would make the largest investment into the U.S. infrastructure the 1950s, when the interstate system was While the call for increased infrastructure is welcomed by owners; the reality is that civil engineering practices may not be capable of leveraging such funds for preservation and The traditional practice of using conservatism in face of uncertainty serves new design well, but owners with a poor picture of reality and has record budget shortfalls. This challenge demands capable of establishing accurate estimates of vulnerability and risk to facilitate rational and decisions. Over the last decade the Drexel Infrastructure Institute (DI3) has served infrastructure owners through the use of identification (St-Id) to more reliably assess vulnerability and risk as they meet this The objective of this paper is to outline some of experiences with a particular focus on the of the decision-maker. The paper begins with an of St-Id, which is followed by a summary of the of applications DI3 has been involved in. The between St-Id applications and risk-based making is then discussed and the paper is with a summary of the challenges related to using to support infrastructure decision-making.

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