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Featured researches published by Luke Borkowski.


Journal of Intelligent Material Systems and Structures | 2013

Fully coupled electromechanical elastodynamic model for guided wave propagation analysis

Luke Borkowski; Kuang Liu; Aditi Chattopadhyay

Physics-based computational models play a key role in the study of wave propagation for structural health monitoring and the development of improved damage detection methodologies. Due to the complex nature of guided waves, accurate and efficient computation tools are necessary to investigate the mechanisms responsible for dispersion, coupling, and interaction with damage. In this article, a fully coupled electromechanical elastodynamic model for wave propagation in a heterogeneous, anisotropic material system is developed. The final framework provides the full three-dimensional displacement and electrical potential fields for arbitrary plate and transducer geometries and excitation waveform and frequency. The model is validated theoretically and proven computationally efficient. Studies are performed with surface-bonded piezoelectric sensors to gain insight into the physics of experimental techniques used for structural health monitoring. Collocated actuation of the fundamental Lamb wave modes is modeled over a range of frequencies to demonstrate mode tuning capabilities. The displacement of the sensing surface is compared to the piezoelectric sensor electric potential to investigate the relationship between plate displacement and sensor voltage output. Since many studies, including the ones investigated in this article, are difficult to perform experimentally, the developed model provides a valuable tool for the improvement of structural health monitoring techniques.


Proceedings of SPIE | 2014

Electromagnetomechanical elastodynamic model for Lamb wave damage quantification in composites

Luke Borkowski; Aditi Chattopadhyay

Physics-based wave propagation computational models play a key role in structural health monitoring (SHM) and the development of improved damage quantification methodologies. Guided waves (GWs), such as Lamb waves, provide the capability to monitor large plate-like aerospace structures with limited actuators and sensors and are sensitive to small scale damage; however due to the complex nature of GWs, accurate and efficient computation tools are necessary to investigate the mechanisms responsible for dispersion, coupling, and interaction with damage. In this paper, the local interaction simulation approach (LISA) coupled with the sharp interface model (SIM) solution methodology is used to solve the fully coupled electro-magneto-mechanical elastodynamic equations for the piezoelectric and piezomagnetic actuation and sensing of GWs in fiber reinforced composite material systems. The final framework provides the full three-dimensional displacement as well as electrical and magnetic potential fields for arbitrary plate and transducer geometries and excitation waveform and frequency. The model is validated experimentally and proven computationally efficient for a laminated composite plate. Studies are performed with surface bonded piezoelectric and embedded piezomagnetic sensors to gain insight into the physics of experimental techniques used for SHM. The symmetric collocation of piezoelectric actuators is modeled to demonstrate mode suppression in laminated composites for the purpose of damage detection. The effect of delamination and damage (i.e., matrix cracking) on the GW propagation is demonstrated and quantified. The developed model provides a valuable tool for the improvement of SHM techniques due to its proven accuracy and computational efficiency.


Proceedings of SPIE | 2016

A hybrid method for damage detection and quantification in advanced X-COR composite structures

Rajesh Kumar Neerukatti; Abhishek Rajadas; Luke Borkowski; Aditi Chattopadhyay; Daniel W. Huff

Advanced composite structures, such as foam core carbon fiber reinforced polymer composites, are increasingly being used in applications which require high strength, high in-plane and flexural stiffness, and low weight. However, the presence of in situ damage due to manufacturing defects and/or service conditions can complicate the failure mechanisms and compromise their strength and reliability. In this paper, the capability of detecting damages such as delaminations and foam-core separations in X-COR composite structures using non-destructive evaluation (NDE) and structural health monitoring (SHM) techniques is investigated. Two NDE techniques, flash thermography and low frequency ultrasonics, were used to detect and quantify the damage size and locations. Macro fiber composites (MFCs) were used as actuators and sensors to study the interaction of Lamb waves with delaminations and foam-core separations. The results indicate that both flash thermography and low frequency ultrasonics were capable of detecting damage in X-COR sandwich structures, although low frequency ultrasonic methods were capable of detecting through thickness damages more accurately than flash thermography. It was also observed that the presence of foam-core separations significantly changes the wave behavior when compared to delamination, which complicates the use of wave based SHM techniques. Further, a wave propagation model was developed to model the wave interaction with damages at different locations on the X-COR sandwich plate.


55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014 | 2014

Micromechanics model to link microstructural variability to fiber reinforced composite behavior

Luke Borkowski; Kuang C. Liu; Aditi Chattopadhyay

The microstructural variation in fiber-reinforced composites has a direct relationship with its local and global mechanical performance. When micromechanical modeling techniques for unidirectional composites assume a uniform and periodic arrangement of fibers, the bounds and validity of this assumption must be quantified. The goal of this research is to quantify the influence of microstructural randomness on effective homogeneous response and local inelastic behavior. The results indicate that microstructural progression from ordered to disordered decreases the tensile modulus by 5%, increases the shear modulus by 10%, and substantially increases the magnitude of local inelastic fields. The analyses presented in this paper show the importance of microstructural variability when small length scale phenomena drive global response.


54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference | 2013

Ab initio micromechanics based multiscale model of woven ceramic matrix composites

Luke Borkowski; Aditi Chattopadhyay

Multiscale models play a key role in capturing the inelastic response of woven carbon fiber reinforced ceramic matrix composites. Due to the mismatch in the thermal properties between the constituents of plain weave carbon fiber/silicon carbide composites, microcracks are present in the as-produced composite. Capturing the initial damage state of the composite requires the development of a multiscale thermoelastic constitutive damage model. The developed model is used to simulate the elastic and damage behavior of a plain weave C/SiC composite system under thermal and mechanical loads. It is shown to accurately predict the composite behavior and serves as a valuable tool in investigating the physics of damage initiation and progression and the evolution in effective composite elastic moduli as a result of temperature changes and damage.


Icarus | 2016

Scale-dependent measurements of meteorite strength: Implications for asteroid fragmentation

Desireé Cotto-Figueroa; Erik Asphaug; Laurence A. J. Garvie; Ashwin Rai; Joel Johnston; Luke Borkowski; Siddhant Datta; Aditi Chattopadhyay; Melissa A. Morris


Composite Structures | 2015

Multiscale model of woven ceramic matrix composites considering manufacturing induced damage

Luke Borkowski; Aditi Chattopadhyay


Cmc-computers Materials & Continua | 2013

From Ordered to Disordered: The Effect ofMicrostructure on Composite Mechanical Performance

Luke Borkowski; K.C. Liu; A. Chattopadhyay


Composite Structures | 2018

Inverse method for estimation of composite kink-band toughness from open-hole compression strength data

Luke Borkowski; Rajesh Kumar


2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference | 2018

Rapid Analysis Method for Composite Compression after Impact Strength Prediction

Luke Borkowski; Rajesh Kumar

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Joel Johnston

Arizona State University

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Rajesh Kumar

Indian Institute of Technology Indore

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Ashwin Rai

Arizona State University

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Erik Asphaug

Arizona State University

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Kuang C. Liu

Arizona State University

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Kuang Liu

Arizona State University

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