Projects per year
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Objective Stochastic Modeling of Quasibrittle Damage and Fracture
THE NATIONAL SCIENCE FOUNDATION
8/1/22 → 7/31/25
Project: Research project
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Objective Stochastic Modeling of Quasibrittle Damage and Failure Through Mechanistic Mapping of Random Fields
8/1/22 → 7/31/25
Project: Research project
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Collaborative Research: Cellular Metamaterials That Localize Stress. Towards A Topological Protectionagainst Fracture
THE NATIONAL SCIENCE FOUNDATION
12/15/20 → 11/30/24
Project: Research project
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Probabilistic Failure Criterion of SiC/SiC Composites Under Multi-Axial Loading
U.S. DEPARTMENT OF ENERGY (USDOE)
10/1/18 → 9/30/22
Project: Research project
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Collaborative Research: Cellular Metamaterials that Localize Stress - Towards a Topological Protection against Fracture
Gonella, S., Labuz, J. F., Firth, D. D. & Hamilton, I. I.
9/1/18 → 11/30/23
Project: Research project
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Determination of mode I fracture toughness of brittle materials with a new method
Fu, J., Haeri, H., Labuz, J. F., Sarfarazi, V., Ebneabbasi, P., Aliha, M. R. M., Karimi, H. R., Jahanmiri, S. & Marji, M. F., Feb 2024, In: Acta Mechanica Sinica/Lixue Xuebao. 40, 2, 423236.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Experimental investigation of probabilistic failure of SiC/SiC composite tubes under multiaxial loading
Hu, C., Le, J. L., Koyanagi, T. & Labuz, J. F., May 1 2024, In: Composite Structures. 335, 118002.Research output: Contribution to journal › Article › peer-review
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Microcracking Characterization in Tensile Failure of Hard Coal: An Experimental and Numerical Approach
Wang, X., Liu, X., Wang, E., Liu, S., Shan, T. & Labuz, J. F., 2024, (Accepted/In press) In: Rock Mechanics and Rock Engineering.Research output: Contribution to journal › Article › peer-review
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Numerical Investigation on Fracture Propagation Mechanism of Pre-Existing Symmetrical Cracks Emanating from the Circular Blast Holes
Wang, L., Fu, J., Haeri, H., Labuz, J. F. & Liu, M., 2024, (Accepted/In press) In: Strength of Materials.Research output: Contribution to journal › Article › peer-review
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A machine learning framework for in situ sensing of pile length from seismic cone penetrometer data
Kennedy, D. V., Guzina, B. B. & Labuz, J. F., Jul 2023, In: Computers and Geotechnics. 159, 105505.Research output: Contribution to journal › Article › peer-review
2 Scopus citations
Datasets
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Experimental data on pore moduli of porous rock
Labuz, J. F. & Tarokh, A., Data Repository for the University of Minnesota, 2018
DOI: 10.13020/D6RX0J, https://doi.org/10.13020/D6RX0J
Dataset