DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 20...
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TODD, PPaul Todd
Ph.D. Director of the Bioprocessing and Pharmaceutical Research Center University City Science Center 3401 Market Street Suite 220 Philadelphia PA 19104.REFERENCES Universities Space Research Association Microgravity Biotechnology Working Group "Goals in Microgravity Biotechnology". 1985. Unpublished.Allen R.E. Rhodes P.H. Snyder R.S. Barlow G.H. Bier M. Bigazzi P.E. van Oss C.J. Knox R.J. Seaman G.V.F. Micale F.J. and Vanderhoff J.W. 1977. Column electrophoresis on the Apollo-Soyuz Test Project. Sep. Purif. Meth. 6: 1-59.|ISI|Snyder R.S. Rhodes P.H. Herren B.J. Miller R.Y. Seaman G.V.F. Todd P. Kunze M.E. and Sarnoff B.E. 1985. Analysis of free zone electrophoresis of fixed erythrocytes performed in microgravity. Electrophoresis 6: 3-9.|ISI|Tulp A. 1984. Density gradient electrophoresis of mammalian cells. In Methods of Biochemical Analysis 30: 148-198.Strickler A. and Sacks T. 1973. Continuous free-film electrophoresis: The crescent phenomenon. Prep. Biochem. 3: 269-277.|PubMed|ISI|ChemPort|Morrison D.R. Barlow G.H. Cleveland C. Grindeland R. Hymer W.C. Kunze M.E. Lanham J.W. Lewis M.L. Sarnoff B.E. Todd P. and Wilfinger W. 1984. Electrophoretic separation of kidney and pituitary cells on STS-8. Adv. Space Res. 4: 67-76.|Article|PubMed|ChemPort|Bier M. Palusinski O.A. Mosher R.A. and Saville D.A. 1983. Electrophoresis: Mathematical modeling and computer simulation. Science 219: 1281-1287.|PubMed|ISI|ChemPort|Albertsson P.A. 1971. Partition of Cell Particles and Macromolecules. Wiley- Interscience New York.Brooks D.E. and Bamberger S. 1982. Studies on aqueous two phase polymer systems useful for partitioning of biological material p. 233-240. In Materials Processing in the Reduced Gravity Environment of Space. G. E. Rindone (ed.) Elsevier Science Publ. Co. Inc. New York.Juarez-Salinas H. Engelhorn S.C. Bigbee W.L. Lowry M.A. and Stanker L.H. 1984. Ultrapurification of monoclonal antibodies by high-performanc
A methodology for the structural life assessment of a ship's structure is suggested. The methodology is based on probabilistic analysis using reliability concepts and the statistics of extremes. In this approach, ...
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A methodology for the structural life assessment of a ship's structure is suggested. The methodology is based on probabilistic analysis using reliability concepts and the statistics of extremes. In this approach, the estimation of structural life expectancy is based on selected failure modes. All possible failure modes of the ship must be investigated and the most likely paths to structural failure identified. For the purpose of illustration two failure modes are considered in this study. They are plate plastic deformation and fatigue cracking. Structural life based on these two failure modes is determined for an example vessel. The methodology determines the probability of failure of the ship's structural components according to the identified failure modes as a function of time. The results can be interpreted as the cumulative probability distribution function (CDF) of structural life. Due to the unknown level of statistical correlation between failure modes, limits or bounds on the CDF of the structural life are established. The limits correspond to the extreme cases of fully correlated and independent failure modes. The CDFs of structural life are determined for two inspection strategies; namely, inspection every year and inspection every two years with a warranty inspection at the end of the first year. The meaning of the results for the case investigated in this study is that, for example, given an inspection strategy of two years and a desired life of 15 years, there is a 72% chance that the vessel will not experience enough partial damage‘ in the failure modes identified to constitute reaching the “end of structural life” as defined.
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