Abstract

Global Positioning System (GPS) technology is reported in the literature as a reasonable alternative for the structural health monitoring (SHM) of bridges. However, more validations of GPS technology must be performed to extract the associated risk of bridges, particularly applying probabilistic concepts. This paper presents a probabilistic approach to evaluating the safety of bridges using real-time dynamic displacements obtained via geodetic-grade GPS receivers. The implementation of the probabilistic approach is demonstrated by the evaluation of the serviceability condition of a real-scale bridge. The structural evaluation involved the continuous extraction of GPS displacement data over the course of 1 h at three different periods of the day from Monday to Sunday. A comprehensive probabilistic study is developed based on dynamic displacements in terms of reliability index and probability of failure. Finally, based on the findings documented in this paper, the detection of unsafe serviceability conditions of bridges is possible by integrating GPS technology and the probabilistic approach presented in this research, which may help to inform decisions about the improvement or retrofit of bridge structures.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

This work was financially supported by several agencies of the government of Mexico. The authors would like to thank the Consejo Nacional de Ciencia y Tecnología (CONACYT) and Universidad Autónoma de Sinaloa (UAS). The results, observations, and conclusions presented in this paper are those of the authors and do not reflect the point of view of the sponsors.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 147Issue 2May 2021

History

Received: Apr 5, 2020
Accepted: Nov 18, 2020
Published online: Jan 22, 2021
Published in print: May 1, 2021
Discussion open until: Jun 22, 2021

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Professor, Dept. of Civil Engineering, Autonomous Univ. of Sinaloa, Culiacan, Sinaloa 80040, Mexico. ORCID: https://orcid.org/0000-0002-9230-8111. Email: [email protected]
J. Rene Vazquez-Ontiveros [email protected]
Ph.D. Student, Dept. of Earth and Space Sciences, Autonomous Univ. of Sinaloa, Culiacan, Sinaloa 80040, Mexico. Email: [email protected]
G. Michel Guzman-Acevedo [email protected]
Ph.D. Student, Dept. of Structural Health Monitoring, Mexican Institute of Transportation, Sanfandila, Queretaro 76703, Mexico. Email: [email protected]
Richard A. Bennett [email protected]
Professor, Dept. of Geosciences, Univ. of Arizona, Tucson, AZ 85721. Email: [email protected]
Assistant Professor, Structural Dynamics and Acoustic Systems Laboratory, Univ. of Massachusetts Lowell, Lowell, MA 01854. ORCID: https://orcid.org/0000-0003-1870-7891. Email: [email protected]
Professor, Dept. of Earth and Space Sciences, Autonomous Univ. of Sinaloa, Culiacan, Sinaloa 80040, Mexico (corresponding author). ORCID: https://orcid.org/0000-0002-8456-537X. Email: [email protected]

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