&lt;title&gt;Experimental algorithm for detecting damage applied to the I-40 bridge over the Rio Grande&lt;/title&gt;

Mayes, Randall L.

doi:10.1117/12.207729

Cited by 23 publications

(12 citation statements)

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“…This shows that the in#uence of operating conditions on the structure should be properly accounted for when developing calibrated models, and damage detection schemes. 7. CONCLUSIONS Understanding and quantifying variation in modal parameters, due to testing and analysis methods as well as structure's in-service condition, is very important for their use in practical applications.…”

Section: Effect Of Operating Conditionsmentioning

confidence: 99%

Effects of Testing, Analysis, Damage, and Environment on Modal Parameters

Alampalli

2000

Mechanical Systems and Signal Processing

122

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Section: Effect Of Operating Conditionsmentioning

confidence: 99%

Effects of Testing, Analysis, Damage, and Environment on Modal Parameters

Alampalli

2000

Mechanical Systems and Signal Processing

122

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“…This laboratory will allow strain data to be collected along with multi-inputlmulti-output structural dynamics data. Mayes (1995) applied the Structural Translation and Rotation Error Checking (STRECH) 'algorithm to modal data from the 1-40 Bridge. This method examines changes in displacement after damage normalized by the before damage value for a given load, referred to as the stretch ratio, to locate areas where the stiffness of the structure has been reduced.…”

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confidence: 99%

Damage detection algorithms applied to experimental modal data from the I-40 Bridge

Farrar¹,

Jauregui²

1996

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Because the 1-40 Bridges over the Rio Grande were to be razed during the summer of 1993, the investigators were able to introduce damage into the structure in order to test various damage identification methods. To support this research effort, NMSU contracted Los Alamos National Laboratory (LANL) to perform experimental modal analyses, and to develop experimentally verified numerical models of the bridge. Previous reports (LA-12767-MS and LA-12979-MS) summarize the results of the experimental modal analyses and the results obtained from numerical modal analyses conducted with finite element models. This report summarizes the application of five damage identification algorithms reported in the technical literature to the previously reported experimental and numerical modal data.Damage or fault detection, as determined by changes in the dynamic properties or response of structures, is a subject which has received considerable attention in the technical literature beginning approximately 30 years ago, and with a significant increase in reported studies appearing during the last five years. The basic idea is that modal parameters, notably frequencies, mode shapes, and modal damping, are a function of the physical properties of the structure (mass, damping, stiffness, and boundary conditions). Therefore, changes in physical properties of the structure, such as its stiffness or flexibility, will cause changes in the modal properties. Early methods for detecting damage based on changes in the structure's dynamic properties primarily examined changes in the resonant frequencies. However, this parameter has proved to be insensitive to lower levels of damage and does not provide a means to locate the damage. Current methods that have shown promise in both detecting damage at an early stage and locating the damage examine changes in the mode shapes of the structure.The major contribution of this study is a direct comparison of five damage identification methods that were applied to the same experimental and numerical modal data. The experimental data were measured on an actual highway bridge. The numerical data was generated from finite element models of the same bridge that had been benchmarked against the measured response. With the numerical models many more damage scenarios could be investigated to further study the relative accuracy of the various damage identification methods. In all cases, the numerical studies were intended to simulate the measurement techniques that would be used if these methods were to be incorporated into an on-line monitoring system for highway bridges. This restriction implies that dynamic properties must be measured from ambient traffic-induced vibration sources.

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“…The first two methods require the use of one or more mechanical, electromechanical, or servohydraulic actuators. Farrar et al 7,8,12 present several articles documenting typical experimental field tests of a large civil bridge structure using such active excitation. Field data collection and measurement techniques used here were designed to provide high-resolution spatial modal data while minimizing the impact of the measurement process on the usability of the structure.…”

Section: Sensor Layout and Measurement Methodologymentioning

confidence: 99%

Documentation of Changes in Modal Properties of a Concrete Box‐Girder Bridge Due to Environmental and Internal Conditions

Bolton

Stubbs

Park

et al. 2001

Computer aided Civil Eng

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The results of two modal tests preformed on a concrete box-girder bridge are presented. The two modal tests were performed on the bridge sequentially with a 9-month time interval between tests. This sequence of tests form the initial phase of a modal-based level IV nondestructive damage-evaluation process implemented to establish the rate of structural deterioration and remaining service life of the tested structure. A level IV process detects, locates, and sizes damage and determines the impact of the damage on the performance of the structure. A novel feature of the field testing is the execution of an incremental and minimally intrusive (to existing traffic flow) modal test procedure. The instrumentation, experimental test plan, and resulting modal analyses are discussed. In addition, the changes in the two modal data sets are discussed.

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<title>Experimental algorithm for detecting damage applied to the I-40 bridge over the Rio Grande</title>

Cited by 23 publications

References 0 publications

Effects of Testing, Analysis, Damage, and Environment on Modal Parameters

Effects of Testing, Analysis, Damage, and Environment on Modal Parameters

Damage detection algorithms applied to experimental modal data from the I-40 Bridge

Documentation of Changes in Modal Properties of a Concrete Box‐Girder Bridge Due to Environmental and Internal Conditions

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