A multiscale synergistic damage mechanics approach for modeling progressive failure in composite laminates

Singh, Chandra Veer

doi:10.1016/b978-0-08-100137-0.00004-3

Cited by 3 publications

(1 citation statement)

References 48 publications

(53 reference statements)

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“…This is because different fatigue failure mechanisms create different AE signals. In composite materials, if changes Percentage of composite components in commercial aircrafts [34].…”

Section: Shm Of Composite Structures Using Ae Methodsmentioning

confidence: 99%

Application of Acoustic Emission to Detect Damage in Composites Materials

Mohammadi Esfarjani

2024

Fiber-Reinforced Composites - Recent Advances, New Perspectives and Applications

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In today’s modern world, the use of composite in the construction of various equipment and parts due to many advantages such as; weight reduction, design durability, flexibility, etc., is increasing. Damages may occur unintentionally in composite materials, either during the manufacturing process or during the normal lifetime of the part. Structural health monitoring (SHM) of composite structures is an industry requirement. The acoustic emission method can be used as an effective nondestructive testing (NDT) method to continuously monitor the development of damages in composites. In this chapter of the book, it has been prepared with the aim of application of AE to detect damage in composites. For this purpose, the literature done in the field of SHM of composite structures using the AE method is reviewed. The content of this chapter shows the importance of using the AE method for SHM of composite structures.

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“…This is because different fatigue failure mechanisms create different AE signals. In composite materials, if changes Percentage of composite components in commercial aircrafts [34].…”

Section: Shm Of Composite Structures Using Ae Methodsmentioning

confidence: 99%

Application of Acoustic Emission to Detect Damage in Composites Materials

Mohammadi Esfarjani

2024

Fiber-Reinforced Composites - Recent Advances, New Perspectives and Applications

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Nonlinear Kalman Filtering With Expensive Forward Models Via Measure Change

Burrows

Allaire

2019

Journal of Dynamic Systems, Measurement, and Control

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Filtering is a subset of a more general probabilistic estimation scheme for estimating the unobserved parameters from the observed measurements. For nonlinear, high speed applications, the extended Kalman filter (EKF) and the unscented Kalman filter (UKF) are common estimators; however, expensive and strongly nonlinear forward models remain a challenge. In this paper, a novel Kalman filtering algorithm for nonlinear systems is developed, where the numerical approximation is achieved via a change of measure. The accuracy is identical in the linear case and superior in two nonlinear test problems: a challenging 1D benchmarking problem and a 4D structural health monitoring problem. This increase in accuracy is achieved without the need for tuning parameters, rather relying on a more complete approximation of the underlying distributions than the Unscented Transform. In addition, when expensive forward models are used, we achieve a significant reduction in computational cost without resorting to model approximation.

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Analysis of Uncertainty Quantification Techniques for Vehicle Capability in Damaged Composite Aircraft

Burrows

Allaire

2019

AIAA Aviation 2019 Forum

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A multiscale synergistic damage mechanics approach for modeling progressive failure in composite laminates

Cited by 3 publications

References 48 publications

Application of Acoustic Emission to Detect Damage in Composites Materials

Application of Acoustic Emission to Detect Damage in Composites Materials

Nonlinear Kalman Filtering With Expensive Forward Models Via Measure Change

Analysis of Uncertainty Quantification Techniques for Vehicle Capability in Damaged Composite Aircraft

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