
LABORATORY FOR ADVANCED NONDESTRUCTIVE TESTING, IN-SITU MONITORING AND EVALUATION (LANDTIE)
Exploring the Wonders of Science
The Laboratory for Advanced NonDestructive Testing, In-situ monitoring and Evaluation (LANDTIE) is a research lab in Department of Manufacturing Engineering at Georgia Southern University in Statesboro, GA. The lab was founded in 2018 with a focus on fundamental and applied research projects on Nondestructive Testing and Evaluation, In-line monitoring, and Metrology for Advanced Manufacturing, Materials, Systems, and Infrastructures. We are proud to have created a creative, collaborative, and open-minded lab environment where each member both offers and receives support from one another.
LANDTIE
Laboratory for Advanced NonDestructive Testing, In-situ monitoring and Evaluation
Merriam-Webster Definition of LANDTIE:
a tie rod or chain used to connect a retaining wall, an outside flight of steps, or other structure to an anchor plate embedded in the earth behind it
LANDTIE FOR SOIL NAILING

LANDTIE AS SOIL NAIL WALL

RESEARCH

IN-SITU MONITORING & NDE FOR ADDITIVE MANUFACTURING
STRUCTURAL HEALTH MONITORING (SHM) AND INFRASTRUCTURE ASSESSMENTS


3D PRINTING OF META-MATERIALS, COMPOSITES, AND ELECTRONICS
METROLOGY, MODELING, AND 3D PRINTING OF
BIOINSPIRED MATERIALS AND COMPONENTS, ONE-HEALTH APPLICATIONS


ULTRASONIC NONDESTRUCTIVE TESTING AND CHARACTERIZATION - RESONANCE & ACOUSTIC TESTING
METALLOGRAPHY, MICROSCOPY, SURFACE METROLOGY, AND FAILURE/FRACTURE ANALYSIS


MECHANICAL TESTING AND CHARACTERIZATION
SPONSORS
Funded Projects

GDOT
Georgia Department of Transportation

MXV
MxV Rail

NSF
National Science Foundation

KSB
GIW Minerals

ALCON
Alcon Vision LLC

FRA
Federal Railroad Administration (FRA)

TPAC
The Phased Array Company

ANTON PAAR
Anton Paar USA
FACILITIES AND EQUIPMENT
TEAM
PUBLICATIONS
References and Links to Papers
IN-SITU PROCESS MONITORING
H. Taheri, L. W. Koester, T. A. Bigelow, E. J. Faierson, and L. J. Bond, “In Situ Additive Manufacturing Process Monitoring With an Acoustic Technique: Clustering Performance Evaluation Using K-Means Algorithm,” J. Manuf. Sci. Eng., vol. 141, no. 4, pp. 41010–41011, Feb. 2019.
DATA DRIVEN STRUCTURAL HEALTH MONITORING
Seyyed Pooya Hekmati Athar, Mohammad Taheri, Jameson Secrist, and Hossein Taheri "Neural network for structural health monitoring with combined direct and indirect methods," Journal of Applied Remote Sensing 14(1), 014511 (21 January 2020).
PRECISION LIVESTOCK FARMING
Azarpajouh, S., Calderón Díaz, J.A., Taheri, H. (2020). "Precision livestock farming; when technology improves on-farm piglet welfare monitoring". National Hog Farmer; Blueprint piglet welfare. April 2020. pp: 16-18.
https://secure.viewer.zmags.com/publication/2d764962#/2d764962/16.
GOOGLE SCHOLAR
Please check the google scholar links for full list of publications
NEWS
TEACHING
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MFGE 5538(G) Nondestructive Testing and Evaluation Techniques
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MFGE 5336(G) Smart and Sustainable Manufacturing
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TMFG 6230 International Manufacturing
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MFGE 2142 Engineering Mechanics
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ENGR 2231 Statics
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ENGR 2232 Dynamics
COLLABORATORS
Get Involved
RESEARCH CENTERS, NATIONAL LABs, ORGANIZATIONS
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Oakridge National Laboratory (ORNL)
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Savannah River National Laboratory (SRNL)
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Center for Nondestructive Evaluation (CNDE) at Iowa State University
INDUSTRY COLLABORATIONS
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Gulfstream Aerospace
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MISTRAS Group, Inc.
INTERNATIONAL COLLABORATIONS
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Department of Industrial Engineering - German Jordanian University
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Département de génie mécanique | Université du Québec à Trois-Rivières
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University of Waterloo, Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Centre for Advanced Materials Joining (CAMJ)
INTERNAL COLLABORATORS
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Center for Advanced Materials Science (CAMS)
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Institute for Health Logistics & Analytics (IHLA)





