Structural Health Monitoring Studies of the Alamosa Canyon and I-40 Bridges
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Citations
The fundamental axioms of structural health monitoring
Online automatic identification of the modal parameters of a long span arch bridge
Machine learning algorithms for damage detection under operational and environmental variability
Assessment of highway bridge upgrading by dynamic testing and finite-element model updating
Application of time series analysis for bridge monitoring
References
Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
Engineering Applications of Correlation and Spectral Analysis
An eigensystem realization algorithm for modal parameter identification and model reduction
The Natural Excitation Technique (NExT) for modal parameter extraction from operating wind turbines
Related Papers (5)
Frequently Asked Questions (10)
Q2. What are the future works mentioned in the paper "Structural health monitoring studies of the alamosa canyon and i-40 bridges" ?
Quantifying the variability in the identified modal parameters led to the development of statistical analysis procedures that can be applied to experimental modal analysis results. The application of the statistical procedures to the I-40 Bridge test results gave particular insight into how statistical analysis can be used to enhance the vibration-based damage detection process. A. Variability Studies Before vibration-based damage identification procedures can be routinely applied to a bridge, particularly in a remote monitoring mode, the effects of variability sources on the modal-based parameters used by the damage identification algorithm must be quantified. Based on the results of the variability tests, it is conceivable that bounds can be developed for the base parameters that could be monitored by a damage identification system.
Q3. What is the author’s opinion on the Alamosa Canyon Bridge?
It is the authors’ opinion that if vibration-based damage detection technology is to be adopted on a wide scale, then it will have to be used in conjunction with a wireless data acquisition system.
Q4. What is the purpose of the study?
From 1994 to 1997 internal research grants from Los Alamos National Laboratory’s Laboratory Direct Research and Development (LDRD) office have been used to fund an effort aimed at studying vibration-based damage detection methods.
Q5. Who has been instrumental in establishing the Alamosa Canyon Bridge as a field test?
Professor Ken White at New Mexico State University and staff from the Alliance for Transportation Research have been instrumental in establishing this bridge as a field test site.
Q6. What was the main contribution of the study?
Another major contribution that came from this portion of the study was the extension of a strain-energy-based damage detection method to structures that exhibit plate-like bending or bending in two directions.
Q7. What is the need for additional global damage detection methods?
The need for additional global damage detection methods that can be applied to complex structures has led to the development of methods that examine changes in the global dynamic characteristics of the structure.
Q8. Where is the Alamosa Canyon Bridge located?
This bridge is located adjacent to Interstate 25 (I-25) approximately 16 km (10 miles) north of Truth or Consequences, New Mexico.
Q9. What is the author’s opinion on the impact of the I-40 Bridge tests?
It is the authors’ opinion that these statistical analysis procedures represent one of the major contributions of these studies to the vibration-based damage detection field.
Q10. How many do the LDRD researchers use to study the Alamosa Canyon Bridge?
To support this work, several field tests of the Alamosa Canyon Bridge have been performed to study various aspects of applying vibration–based damage detection methods to a real world in situ structure.