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Design of a Computational Model to Support the Calculation of a Structural Health Index for Bridges

  • Costa Rica Institute of Technology

Research output: Contribution to journalConference articlepeer-review

Abstract

In many Latin American countries, including Costa Rica, the poor condition of national road bridges significantly hinders socioeconomic progress. Addressing this issue, this article introduces a computational method designed to evaluate and monitor bridge health over time. It outlines a business intelligence model that facilitates data storage from bridge inspections and supports structural health index calculations. A Power BI prototype displays crucial visualizations that improve decision-making on infrastructure investments. This approach leverages business intelligence and hierarchical visualization techniques, offering a solution to quantitatively assess bridge health and prioritize investments in national infrastructure efficiently.

Original languageEnglish
JournalProceedings of the IEEE Central America and Panama Convention, CONCAPAN
Issue number2025
DOIs
StatePublished - 2025
Event43rd IEEE Central America and Panama Convention, CONCAPAN 2025 - San Salvador, El Salvador
Duration: 26 Nov 202528 Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Bridges
  • Business Intelligence
  • Index
  • Monitoring
  • Structural Health

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