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A Framework for Evaluating the Impact of Structural Health Monitoring on Bridge Management

  • Matteo Pozzi
  • , Daniele Zonta
  • , Wenjian Wang
  • , Genda Chen

Research output: Contribution to journalArticlepeer-review

Abstract

Although structural monitoring has been recognized as a powerful information tool, bridge managers often make decisions based on their experience or on common sense, somehow regardless of the action suggested by instrumental damage detection algorithms. In fact, managers weight differently the outcomes of the detection based on his/her príor perception of the state of the structure and decide keeping in mind the possible effects of the action he/she can undertake. In this paper we propose a rational framework to include the impact of the mentioned issues on decision making. The methodology is applied to the Bill Emerson Memorial Bridge, a new 1206 meter long cable-stayed structure across the Mississippi River, instrumented with an 84-channel seismic instrumentation system. Using a finite element model, we estimate the probability distributions of the response of the bridge for a possible damage scenarío involving formation of plastic hinges at the intersection of tower columns and cap beams. The example shows how it is possible to estimate the economic benefit of a monitoring system for any event which requires a damage assessment.

Keywords

  • Artificial Neural Network
  • Bridge Management
  • Cap Beams
  • Common Sense
  • Condition Assessment
  • Damage Assessments
  • Damage Detection
  • Decision-Making
  • Detection Algorithm
  • Economic Benefits
  • Emerson
  • Finite Element Models
  • Information Tools
  • Maintenance
  • Managers
  • Mississippi River
  • Monitoring System
  • Neural Networks
  • Plastic Hinges
  • Probability Distributions
  • Seismic Instrumentation
  • Structural Monitoring
  • Tower Column

Disciplines

  • Civil Engineering

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