An integrated health management system for real-time impact monitoring and prediction of impact-induced damage on composite structures

Abstract

Next generation technology of integrated health management systems for air-transportation structures will utilize SHM methods in combination with simulation techniques for the prediction of structural degradation induced by adverse events such as impacts. The contribution focuses on the development of an advanced real-time monitoring system for impact loads using passive sensing networks. Starting from the fundamental approach of real-time monitoring based on system identification models, problems of model order, signal conditioning and efficient model training will be addressed. Finally, the load monitoring system is interactively linked to a damage prediction module based on numerical failure analysis employing composite failure criteria. This module allows a prediction of impact-induced damage after detection of any adverse impact event making information available on developing degradation at the earliest possible state.

Piezoelectric Transducer-Based Structural Health Monitoring for Aircraft Applications

“…Many studies have been conducted for impact identification, including estimation of impact location and reconstruction of impact force history or energy [125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154]. There are two basic approaches for impact identification: one is the model-based technique, the other is the neural network-based technique.…”

“…This method does not rely on the full-scale mathematical model of structure, nor does it require large scale acquisition of training data to establish neural network, but obtains the transfer function which can reproduce the physical behavior of system through experimental testing [132]. Mueller et al improved the method proposed by Park, and presented a two-step model calibration method, which could simulate the impulse response in the training process of ARX model to reduce the simulation error of the numerical model in the early window and improve the accuracy [133]. Ahmari and Yang proposed a simplified method for detection of impact localization and energy of simple support plates based on finite uncertainty measurement [134,135].…”

Impact energy identification on a composite plate using basis vectors

“…It is commonly acknowledged that reliable and accurate solutions for inverse problems such as impact identification require careful calibration operations during data acquisition and processing [17]. These requirements are also suitable for the method presented in this study.…”

“…The reconstruction of impact force is naturally the inversion of the forward problem, which can be performed in the time, frequency or spectral domain (Zhang et al 2008 [4]). One of the classical methods is system-identification-based impact monitoring proposed by Park et al (2009) from the research team of Professor Chang at Stanford University [2,5,17]. This group assumed that the relationship between the impact force and the sensor data was linear and represented by a linear finite difference model; their method is applicable to complex structures and inspired selected other research studies.…”

Multi-Parameter Layup Optimization and the Effect of Layup Homogenization on the Bending Compliance Matrix of Coupled Composites

“…ductility [4,5], impact resistance [6,7] or fire retardancy [8,9]), they can be endowed with additional functionalities that can increase their advantage over competing structural materials. The additional functions can range from self-healing [10,11] to integrated health monitoring [12,13], but the coupled behaviour of composites might be the most fundamental of all. Coupling refers to a direct connection between loads and deformations of different modes (e.g.…”