Locating damaged members in a truss structure using modal test data - A demonstration experiment

Smith, Suzanne; Mcgowan, Paul E.

doi:10.2514/6.1989-1291

Cited by 10 publications

(6 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 37 shows a COMAC with the dark blue area predicting damage once again at the top right corner (damage to bolt 13) when the damage is actually located at its neighboring bolt 14. Similarly, Figure 38 demonstrates a predicted damage state for one of the bolts along the upper edge of plate 3 (bolts [25][26][27][28] corresponding to the lowest values of the COMAC. Since Figure 38 represents damage at bolt 27, it accurately captures a region containing the damaged bolt, but could not localize the Figure 39.…”

Section: Low-level Damage Resultsmentioning

confidence: 99%

“…Additional damage detection research originating in the late 1980s and the 1990s involved trusses [25][26][27], plates [28][29][30][31][32], buildings [33,34], concrete beams [35,36], shells and frames [37][38][39], horizontal axis wind turbine blades [40], and aircraft structures [41]. The global methods used in these damage detection investigations will be mentioned in more detail in Section 2.2.3.…”

Section: Historical Perspectivementioning

confidence: 99%

See 1 more Smart Citation

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

Grandhi¹,

Tobe²

2010

View full text Add to dashboard Cite

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...

show abstract

Section: Low-level Damage Resultsmentioning

confidence: 99%

Section: Historical Perspectivementioning

confidence: 99%

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

Grandhi¹,

Tobe²

2010

View full text Add to dashboard Cite

show abstract

“…Smith and McGowan [36] used a scaled truss model for locating a crack in structures. Their approach was also based on frequency measurement.…”

Section: Damage Quantification Based On Natural Frequencymentioning

confidence: 99%

The role of dynamic response parameters in damage prediction

Zai

Khan

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

This article presents a literature review of published methods for damage identification and prediction in mechanical structures. It discusses ways which can identify and predict structural damage from dynamic response parameters such as natural frequencies, mode shapes, and vibration amplitudes. There are many structural applications in which dynamic loads are coupled with thermal loads. Hence, a review on those methods, which have discussed structural damage under coupled loads, is also presented. Structural health monitoring with other techniques such as elastic wave propagation, wavelet transform, modal parameter, and artificial intelligence are also discussed. The published research is critically analyzed and the role of dynamic response parameters in structural health monitoring is discussed. The conclusion highlights the research gaps and future research direction.

show abstract

“…Modal analysis techniques have proven effective for a wide variety of civil, mechanical and architectural engineering applications [14] [15] [16]. The aerospace engineering community has utilized the method as well, specifically in the arena of composite materials research [17] [18].…”

Section: Modal Parameter Analysismentioning

confidence: 99%

Experimental Detection and Quantitative Interrogation of Damage in a Jointed Composite Structure

Gentzen

Choi

Purekar³

et al. 2009

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

The aerospace field has concentrated substantial attention toward the development of structural health monitoring (SHM) systems for multidisciplinary applications. Research is motivated by catastrophic failures of operational systems which may have been avoided with the prior implementation of a successful damage prediction method. This research utilizes a smart sensor array to collect sensing information over a variety of damaged scenarios on a composite lap-joint assembly. Damage was implemented as bolt torque loss within the joint. A damage index was used as the key diagnostic feature to interrogate damage within the structure. Pattern recognition of the damage index, in addition to a rule-based, statistical discrimination method was employed to detect, localize and quantify damage due to bolt torque loss in the structure. The methodology accurately detected the presence of damage within the joint, localized the damage within the structures four quadrants, and assessed the level of torque loss.

show abstract

Locating damaged members in a truss structure using modal test data - A demonstration experiment

Cited by 10 publications

References 1 publication

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

The role of dynamic response parameters in damage prediction

Experimental Detection and Quantitative Interrogation of Damage in a Jointed Composite Structure

Contact Info

Product

Resources

About