H
Harry Millwater
Researcher at University of Texas at San Antonio
Publications - 142
Citations - 2291
Harry Millwater is an academic researcher from University of Texas at San Antonio. The author has contributed to research in topics: Finite element method & Probabilistic logic. The author has an hindex of 22, co-authored 134 publications receiving 1948 citations. Previous affiliations of Harry Millwater include Southwest Research Institute & University of Texas at Austin.
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Advanced probabilistic structural analysis method for implicit performance functions
TL;DR: An advanced mean-based method is presented, capable of establishing the full probability distributions to provide additional information for reliability design and can be used to solve problems involving nonmonotonic functions that result in truncated distributions.
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Analysis of rate of penetration (ROP) prediction in drilling using physics-based and data-driven models
TL;DR: The authors have formulated a method to calculate the uncertainty (confidence interval) of ROP predictions, which can be useful in engineering based drilling decisions and provide a better fit than traditional models.
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Probabilistic methods for design assessment of reliability with inspection
TL;DR: The probabilistic fatigue analysis methodology developed for DARWIN to address hard alpha material anomalies is presented and it is shown that the life approximation function and importance sampling methods significantly reduce computation time compared to the Monte Carlo method.
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Probabilistic analysis of preload in the abutment screw of a dental implant complex
TL;DR: Examination of material properties, surface interactions, and applied torque in an implant system to determine the probability of obtaining desired preload values and to identify the significant variables that affect the preload suggests materials with higher elastic moduli be used in the manufacture of the abutment screw to achieve a higher preload.
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A New Tool for Design and Certification of Aircraft Turbine Rotors
TL;DR: Recent enhancements to a probabilistic damage tolerance software code, DARWIN, that can be used for design certification of aircraft jet engine titanium disks/rotors that may contain melt-related anomalies are summarized.