Experimental research on damage identification of fully free beams based on modal shapes

Cheng, Haoyue; Guo, Jian; Zhang, Yin; Li, Wenzhuo

doi:10.1016/j.apor.2023.103689

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, test data can mislead sometimes if DUT is having defects and unknown to the testing person. H. Chang et al (2003) studied damage identification of ship under different damage conditions through numerical simulation and experimental verification done by COMAC based on orthogonality of modes before and after damage [5]. Influence of damage size onto vibration response of structure is studied with respect to undamaged unit through numerical simulation by Mehran K. et al (2002) [4].…”

Section: Introductionmentioning

confidence: 99%

Defect identification in electro-mechanical assembly using finite element method and modal assurance criterion

Singh,

Nalawade,

Pieczko

2023

Vib. proced.

View full text Add to dashboard Cite

Globally automotive industry is going through a critical transition from gasoline vehicle to electric and hybrid electric vehicle. These changes have challenged industry with completely different vehicle driveline architecture. These systems have more electro-mechanical components which need to be critically designed for the vibration, thermal, structural and shock related requirements. Design for vibration endurance has been a major requirement and robust matured design of these systems may take several design iterations. Finite element models give us freedom to simulate and analyze design performance before actual prototype building. Simulation results can be predicted more accurately if model fidelity is strong enough. To have strong model fidelity, modal test data correlation is an important step towards robust design. In this paper, study on Test-FE model correlation has been performed for an electro-mechanical assembly using Modal Assurance Criterion. During the entire correlation study, it was assumed that the DUT was undamaged and entire focus of the work was towards improving FE model fidelity. But obtained results pointed the inconsistency between the FE model and test results at a specific region which later has been captured as a defect in the DUT. The results of this paper can help in identifying anomalies in actual product samples and in taking decision on testing other samples.

show abstract

Section: Introductionmentioning

confidence: 99%

Defect identification in electro-mechanical assembly using finite element method and modal assurance criterion

Singh,

Nalawade,

Pieczko

2023

Vib. proced.

View full text Add to dashboard Cite

show abstract

Inversion of Lateral Impact Load Migration History and Trajectory Location Method for Deck Structures Based on the Time‐Slicing Method

Li,

Sheng,

et al. 2024

Shock and Vibration

View full text Add to dashboard Cite

The impact load transfer caused by the landing of a carrier aircraft is a complicated problem in engineering, especially for a deck structure with a known area but an unknown location. This is a crucial structural dynamics inverse problem. The traditional dynamics inverse problem is generally to divide and calibrate the known region through Green’s function, locate the region through the minimum norm of the load data obtained from the measurement response inversion, and obtain the time history. However, this method is mostly aimed at single‐peak impacts and cannot deal with impact load migration, that is, with multipeak impacts in the time domain. Therefore, based on the time‐slice method, this paper presents a method of locating the impact load migration trajectory and time history inversion for deck structures. A mathematical model is constructed independently through the segmentation and identification of the response, combining the Tikhonov regularization method and the generalized cross‐validation (GCV) regularization operator to achieve region calibration and time history inversion and then locating the migration trajectory using a load similarity criterion, thus overcoming the limitation that traditional methods cannot achieve multipeak recognition. At the same time, invalid data are avoided through slice screening, and the accuracy of trajectory recognition is greatly improved. The effectiveness and accuracy of the method are verified based on the influence of different slice lengths on the identification results. The influence of different incidence angles on the results is discussed, and the universality of the method is verified.

show abstract

Experimental research on damage identification of fully free beams based on modal shapes

Cited by 2 publications

References 15 publications

Defect identification in electro-mechanical assembly using finite element method and modal assurance criterion

Defect identification in electro-mechanical assembly using finite element method and modal assurance criterion

Inversion of Lateral Impact Load Migration History and Trajectory Location Method for Deck Structures Based on the Time‐Slicing Method

Contact Info

Product

Resources

About