Structural reliability supported in monitoring and instrumentation: application in a steel bridge

Authors

  • Edgar Muñoz Pontificia Universidad Javeriana (Colombia)
  • Federico Núñez Pontificia Universidad Javeriana (Colombia)
  • Wilson Rodríguez Pontificia Universidad Javeriana (Colombia)
  • Camilo Otalora Pontificia Universidad Javeriana (Colombia)
  • Daniel Ruiz Pontificia Universidad Javeriana (Colombia)

Keywords:

Reliability, Monitoring, Simulation, bridges, Steel, Optimization

Abstract

This article presents an analysis by structural reliability based on instrumentation applied to the bridge Puerto Salgar, considered one of most important of Colombia. This work included: surveying, mechanical testing, traffic counting, load test, optimization and calibration of the structural model, instrumentation, monitoring and numerical simulations. Based on the structural reliability analysis, there were probabilities of failure in some main elements of this bridge since they were not within the safety range that guarantees stability. In addition, important overloads were detected on some elements of the bridge which must be taken care of by the responsible organization since they affect the bridge safety. Additionally, it is recommended the review of Colombian code design loads for bridges since it assumes lower stresses than those measured on the field. Finally, this project showed the advantages of using method of structural reliability based on instrumentation for the revision of existing steel bridges.

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Author Biography

Edgar Muñoz, Pontificia Universidad Javeriana (Colombia)

Grupo Estructuras. Facultad de Ingeniería, Pontificia Universidad Javeriana, COLOMBIA 

Published

2008-08-30

How to Cite

Muñoz, E., Núñez, F., Rodríguez, W., Otalora, C., & Ruiz, D. (2008). Structural reliability supported in monitoring and instrumentation: application in a steel bridge. Revista Ingeniería De Construcción, 21(2), 87–100. Retrieved from https://ojs.uc.cl/index.php/ric/article/view/16789

Issue

Section

Original Research