Karthik Gopalakrishnan

ORCID: 0000-0001-8266-1125
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About
Contact & Profiles
Research Areas
  • Ultrasonics and Acoustic Wave Propagation
  • Geophysical Methods and Applications
  • Advanced ceramic materials synthesis
  • Non-Destructive Testing Techniques
  • Rock Mechanics and Modeling
  • Heat Transfer Mechanisms
  • High-Velocity Impact and Material Behavior
  • Heat Transfer and Optimization
  • Nanofluid Flow and Heat Transfer
  • Photonic and Optical Devices
  • Structural Health Monitoring Techniques
  • Metal and Thin Film Mechanics
  • Adhesion, Friction, and Surface Interactions
  • Advancements in PLL and VCO Technologies
  • Structural Analysis of Composite Materials
  • Fatigue and fracture mechanics
  • Semiconductor Lasers and Optical Devices
  • Mechanical Behavior of Composites
  • Numerical methods in engineering
  • Astronomical Observations and Instrumentation
  • Nuclear materials and radiation effects
  • Epoxy Resin Curing Processes
  • Nuclear Materials and Properties
  • Tribology and Lubrication Engineering
  • Brake Systems and Friction Analysis

Michigan State University
2021-2023

Indian Institute of Science Bangalore
2020

University B.D.T College of Engineering
2020

University of Florida
2010-2014

Corning (United States)
2013

Inphi (United States)
2012

Identification of elastic properties is crucial for nondestructive material characterization as well in-situ condition monitoring. In this paper, we have used ultrasonic guided waves the identification a unidirectional laminate with stacked transversely isotropic lamina. The forward problem formulated and solved using Spectral Finite Element Method. data collected from model utilized to solve inverse property identification. A supervised regression-based 1D-Convolutional Neural Network...

10.1109/icphm49022.2020.9187057 article EN 2020-06-01

A key challenge in optical networking is the development of low-power transceivers that interface to sub-assemblies (TOSAs & ROSAs). While SiGe technologies are often selected for jitter performance with links, especially on egress path transmit optics, lower-power and higher levels digital integration result from CMOS approaches . This paper describes a generic 25-to-30Gb/s SerDes use within CDR or gearbox applications, targeting draft requirements OIF 28G-VSR standard suitable both...

10.1109/isscc.2012.6177032 article EN 2012-02-01

10.1016/j.jeurceramsoc.2014.03.019 article EN Journal of the European Ceramic Society 2014-07-24

Fracture surfaces of soda lime silica glass failed from controlled surface cracks in diametral compression, under mixed‐mode loading conditions were studied using fractography. Mode mixity was introduced by orienting indent precracks different directions with respect to the axis. The fracture characterized an absence mist region. hackle markings on appear as lances and differ those observed pure mode I. Atomic force microscopy revealed that features at regions are similar only scale....

10.1111/j.1551-2916.2012.05431.x article EN Journal of the American Ceramic Society 2012-09-24

ABSTRACT Engineering applications of ceramics can often involve mixed‐mode conditions involving both tensile and shear loading. Mixed‐mode fracture toughness parameters are evaluated for applicability to using the Brazilian disc test on silicon nitride. Semi‐elliptical centrally located surface flaws induced specimens Vickers indentation compression loaded with varying levels mode mixity. The modelled via 3D finite element analysis all three modes stress intensity factors computed along...

10.1111/j.1460-2695.2010.01457.x article EN Fatigue & Fracture of Engineering Materials & Structures 2010-05-05

10.1016/j.engfracmech.2011.11.019 article EN Engineering Fracture Mechanics 2011-12-06

This paper presents a point-wise damage mapping algorithm for composite aerospace structures wherein we classify each location of interest on structure as belonging to damaged part the or otherwise. The system employs an array transducers attached inducing guided waves in and recording resultant waveforms arriving at sensors. We present baseline signal-based supervised learning which measurements are made prior deploying it field signals recorded during inspection compared with their...

10.12783/shm2023/36864 article EN Proceedings of the 13th International Workshop on Structural Health Monitoring 2023-09-12
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