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3D numerical prediction of thermal weakening effects on granite
Timo Saksala
Civil Engineering
Research output
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Contribution to journal
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Article
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Scientific
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peer-review
4
Citations (Scopus)
12
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Dive into the research topics of '3D numerical prediction of thermal weakening effects on granite'. Together they form a unique fingerprint.
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Keyphrases
Silica
100%
Numerical Prediction
100%
Weakening Effect
100%
Thermal Weakening
100%
Temperature Effect
66%
Material Properties
33%
Thermal Expansion
33%
Tensile Strength
33%
Numerical Methods
33%
Numerical Test
33%
Failure Mode
33%
Material Parameters
33%
Initial-boundary Value Problem
33%
Finite Element
33%
Coefficient of Thermal Expansion
33%
Material Degradation
33%
Feldspar
33%
Material Stiffness
33%
Rock Heterogeneity
33%
Rock Strength
33%
Viscoplastic Model
33%
Compressive Strength
33%
Granitic Rocks
33%
Uniaxial Compression Test
33%
Weibull Distribution
33%
Random Cluster
33%
Uniaxial Tension Test
33%
Mass Scaling
33%
Critical Time Step
33%
Thermomechanical
33%
Strength of Materials
33%
Anomalous Temperature Dependence
33%
Staggered Method
33%
Biotite
33%
Thermally Induced Cracking
33%
Drucker-Prager Criterion
33%
Rock Stiffness
33%
Non-circular
33%
Compressive Stiffness
33%
Macroscopic Defect
33%
Engineering
Numerical Prediction
100%
Silicon Dioxide
100%
Tensiles
66%
Temperature Dependence
66%
Boundary Value
33%
Expansion Coefficient
33%
Numerical Methods
33%
Failure Mode
33%
Material Parameter
33%
Input Data
33%
Rock Strength
33%
Target Temperature
33%
Induced Cracking
33%
Material Stiffness
33%
Compression Tests
33%
Finite Element Analysis
33%
Compressive Strength
33%
Compression Strength
33%
Material Science
Thermal Expansion
100%
Finite Element Method
50%
Compressive Strength
50%
Feldspar
50%
Surface (Surface Science)
50%
Weibull Distribution
50%
Materials Property
50%
Viscoplasticity
50%