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Sensitivity of void mediated failure to geometric design features of porous metals.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781118445112.stat06216openalex-snapshot
Finite Mixture Distributions
inferredcites →https://doi.org/10.1002/adem.201700102openalex-snapshot
Extreme‐Value Statistics Reveal Rare Failure‐Critical Defects in Additive Manufacturing
inferredcites →https://doi.org/10.1007/0-306-48396-3openalex-snapshot
Fatigue of Structures and Materials
inferredcites →https://doi.org/10.1007/978-1-4612-1694-0_15openalex-snapshot
Information Theory and an Extension of the Maximum Likelihood Principle
inferredcites →https://doi.org/10.1007/bf00119932openalex-snapshot
Stochastic techniques for global optimization: A survey of recent advances
inferredcites →https://doi.org/10.1007/bf00367582openalex-snapshot
Comparison of stress concentration versus minimum solid area based mechanical property-porosity relations
inferredcites →https://doi.org/10.1007/bf00547593openalex-snapshot
Applicability of Weibull analysis for brittle materials
inferredcites →https://doi.org/10.1007/bf00561290openalex-snapshot
On estimating the Weibull modulus for a brittle material
inferredcites →https://doi.org/10.1007/s00158-017-1689-1openalex-snapshot
Concurrent topology optimization of multiscale structures with multiple porous materials under random field loading uncertainty
inferredcites →https://doi.org/10.1007/s10704-016-0090-1openalex-snapshot
Sandia fracture challenge 2: Sandia California’s modeling approach
inferredcites →https://doi.org/10.1007/s11222-006-8451-7openalex-snapshot
Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications
inferredcites →https://doi.org/10.1007/s11661-013-1814-8openalex-snapshot
The Morphology of Tensile Failure in Tantalum
inferredcites →https://doi.org/10.1016/0022-5096(88)90014-2openalex-snapshot
Void growth and failure in notched bars
inferredcites →https://doi.org/10.1016/j.addma.2020.101090openalex-snapshot
Size-dependent stochastic tensile properties in additively manufactured 316L stainless steel
inferredcites →https://doi.org/10.1016/j.cma.2020.113471openalex-snapshot
Modeling strength and failure variability due to porosity in additively manufactured metals
inferredcites →https://doi.org/10.1016/j.engfracmech.2017.10.027openalex-snapshot
Ductile fracture of a metal matrix composite studied using 3D numerical modeling of void nucleation and coalescence
inferredcites →https://doi.org/10.1016/j.ijplas.2011.12.006openalex-snapshot
Validation of a model for static and dynamic recrystallization in metals
inferredcites →https://doi.org/10.1016/j.jmbbm.2018.07.010openalex-snapshot
Measurement of deformation heterogeneities in additive manufactured lattice materials by Digital Image Correlation: Strain maps analysis and reliability assessment
inferredcites →https://doi.org/10.1016/j.tsf.2006.01.039openalex-snapshot
Description of brittle failure of non-uniform MEMS geometries
inferredcites →https://doi.org/10.1016/s0013-7944(01)00022-4openalex-snapshot
A numerical study on the application of the Weibull theory to brittle materials
inferredcites →https://doi.org/10.1016/s0020-7683(98)00239-xopenalex-snapshot
A void–crack nucleation model for ductile metals
inferredcites →https://doi.org/10.1016/s0169-7161(05)25016-2openalex-snapshot
Bayesian Modelling and Inference on Mixtures of Distributions
inferredcites →https://doi.org/10.1023/a:1026317303377openalex-snapshot
Probabilistic Weibull behavior and mechanical properties of MEMS brittle materials
inferredcites →https://doi.org/10.1038/s41378-019-0093-yopenalex-snapshot
Predicting strength distributions of MEMS structures using flaw size and spatial density
inferredcites →https://doi.org/10.1080/01621459.1997.10474044openalex-snapshot
Practical Bayesian Density Estimation Using Mixtures of Normals
inferredcites →https://doi.org/10.1088/1361-6439/abbf89openalex-snapshot
Shoulder fillet effects in strength distributions of microelectromechanical system components
inferredcites →https://doi.org/10.1109/dsaa.2018.00018openalex-snapshot
Explaining Explanations: An Overview of Interpretability of Machine Learning
inferredcites →https://doi.org/10.1109/tpami.2011.63openalex-snapshot
Bayesian Estimation of Beta Mixture Models with Variational Inference
inferredcites →https://doi.org/10.1111/1467-9868.00142openalex-snapshot
Local Maximum Likelihood Estimation and Inference
inferredcites →https://doi.org/10.1111/ffe.13077openalex-snapshot
Fatigue of additively manufactured 316L stainless steel: The influence of porosity and surface roughness
inferredcites →https://doi.org/10.1115/1.3042159openalex-snapshot
Efficient Random Field Uncertainty Propagation in Design Using Multiscale Analysis
inferredcites →https://doi.org/10.1137/s1052623496303470openalex-snapshot
Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
inferredcites →https://doi.org/10.1152/physrev.1961.41.2.281openalex-snapshot
Mechanical Properties of Lungs
inferredcites →https://doi.org/10.2307/2289504openalex-snapshot
Statistical Analysis of Finite Mixture Distributions.
inferredcites →https://doi.org/10.2307/2290971openalex-snapshot
Maximum Likelihood Estimation: Logic and Practice.
inferredcites →https://doi.org/10.26153/tsw/15300openalex-snapshot
Topology Optimization for Additive Manufacturing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4853032openalex-extracted
Multiscale Simulation of Spatially Correlated Microstructure Via a Latent Space Representation
inferred← citeshttps://doi.org/10.1016/j.triboint.2025.110674openalex-snapshot
Effect of porosity on surface deformation and subsurface layer produced by scratch tests of sintered low-alloy steel
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