Dynamic characterization and damage detection in the I-40 bridge over the Rio Grande

Farrar, C.R.; Baker, William E.; Bell, T.M.; Cone, Kerry; Darling, T. W.; Duffey, T.A.; Eklund, Alice; Migliori, A.

doi:10.2172/10158042

Cited by 238 publications

(155 citation statements)

References 36 publications

(41 reference statements)

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“…One specific example of the large level of damage not being easily detectable with frequency changes has been observed with the I-40 bridge over the Rio Grande. A 96.4% reduction in the cross-sectional stiffness at the center of a main plate girder (which reduces the bending stiffness of the overall bridge crosssection by 21%) did not result in significant reductions of the observed modal frequencies [54].…”

Section: Frequency Changesmentioning

confidence: 88%

Design and Analysis of Advanced Materials in a Thermal/Acoustic Environment. Delivery Order 0007: Volume 1 - Structural Health Monitoring

Grandhi¹,

Tobe²

2010

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Department of Defense, Washington Headquarters Services, Directorate for Information , 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YY) REPORT TYPE 3. DATES COVERED (From -To)March 2010 0A PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBERWright State University Department of Mechanical and Materials Engineering Dayton, OH 45435 SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Air Force Research Laboratory SPONSORING/MONITORING AGENCY ACRONYM(S)Air ABSTRACTAir vehicles flying at hypersonic speeds encounter extreme thermal, aerodynamic and acoustic loads, utilizing thermal protection systems to shield the main structure from these 1oads.One type of failure in a mechanically attached thermal protection system is fastener failure. Determining structural health monitoring on the fastener health of the thermal protection system is needed and can be completed by analyzing changes in the dynamic characteristics of the system due to fastener failure. The damage detection metrics include the existing modal parameters-modal assurance criterion (MAC), partial (PMAC), and coordinate (CMAC)-as well as two new modal parameters-normalized coordinate MAC and normalized coordinate MAC X summation were investigated. Two new modal parameters were formulated to identify mode shape changes in a structure due to global damage to the structure. Two damage states caused a minimal change to the low-frequency structural dynamics and could not be localized with any of the investigated damage metrics. After the finite element model is validated for the healthy state with free-free boundary conditions, the global boundary conditions and fastener failure damage states are implemented. This damage simulation allows a better understanding of how the damage states cause low-frequency dynamic changes without requiring a experimental data for each of the damage states of interest. SUBJECT TERMSThe damage detection metrics include the existing modal parameters-modal assurance criterion, partial modal assurance criterion, and coordinate modal assurance criterion-as well as two new modal parameters-normalized coordinate modal assurance criterion and normalized coordinate modal assurance criterion summation. The existing modal parameters provide data...

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Section: Frequency Changesmentioning

confidence: 88%

Design and Analysis of Advanced Materials in a Thermal/Acoustic Environment. Delivery Order 0007: Volume 1 - Structural Health Monitoring

Grandhi¹,

Tobe²

2010

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“…Changes in frequency due to temperature can often be mistaken for structural damage [80,81] and, in some cases, can also mask true damage events, as Farrar et al [82] discovered when investigating a bridge girder subjected to incrementally induced damage events. The expectations of the assessment were that the inflicted damage would reduce the girder's stiffness and thus reduce its natural frequencies.…”

Section: Problematic Effects Of Environmental and Operational Conditionsmentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

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“…(15), (16), and (17) are used to evaluate the quantity of damage for each parameter. This evaluation has led to very good results shown in Figs.…”

Section: Bowstring Truss Examplementioning

confidence: 99%

“…13,14 Cawley and Adams 15 used changes in natural frequencies to identify damage in composite materials. Farrar et al 16 implemented the shifts in natural frequencies to identify damage on an I-40 bridge and noted that shifts in the natural frequencies were not adequate for detecting damage of small faults. Lei et al proposed an algorithm for detecting structural damage with limited input and output measurement signals.…”

Section: Introductionmentioning

confidence: 99%

Application of Improved Accelerated Random Search Algorithm for Structural Damage Detection

Boubakir¹,

Touat²,

Kharoubi³

et al. 2017

IJAV

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Finite element (FE) model updating technique belongs to the class of inverse problems in classical mechanics. According to the continuum damage mechanics, damage is represented by a reduction factor of the element stiffness and mass. The objective of the optimization problem is to minimize the difference between measured and numerical FE vibration data. In this study a new method is presented for structural damage detection called Improved Modified Accelerated Random Search algorithm (IMARS). The algorithm uses model updating procedure to detect damages in a decoupled fashion. First, detecting the location and the number of damaged elements is evaluated by multi-run process. Knowing damage number, the quantification step is then applied using simple computing procedure. The effectiveness of the algorithm is first tested on mathematical benchmark functions. The algorithm is then applied in damage detection of 2D beam structure and 2D truss structure. These two cases have different boundary conditions and different damage scenarios. The simulated experimental modal data have been taken as reference values. A real cantilever beam with experimental modal parameters is used to validate the proposed method for real single and double damages. Results show that the proposed method is accurate and robust in structural damage identification.

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Dynamic characterization and damage detection in the I-40 bridge over the Rio Grande

Abstract: Thirty-two second time histories comparing vertical accelerations measured on a pier (location 3) and on the plate girder (location 1).

Cited by 238 publications

References 36 publications

Design and Analysis of Advanced Materials in a Thermal/Acoustic Environment. Delivery Order 0007: Volume 1 - Structural Health Monitoring

Design and Analysis of Advanced Materials in a Thermal/Acoustic Environment. Delivery Order 0007: Volume 1 - Structural Health Monitoring

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

Application of Improved Accelerated Random Search Algorithm for Structural Damage Detection

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