Books on the topic 'Computational stress'

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1

Lin, Zhiang. Designing stress resistant organizations: Computational theorizing and crisis applications. Boston: Kluwer Academic Publishers, 2003.

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2

Gerstle, Walter. Introduction to practical peridynamics: Computational solid mechanics without stress and strain. New Jersey: World Scientific, 2016.

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3

Saravanos, D. A. Optimal fabrication processes for unidirectional metal-matrix composites: A computational simulation. [Washington, D.C.]: NASA, 1990.

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4

Mital, Subodh K. Fiber pushout test: A three-dimensional finite element computational simulation. [Washington, D.C.]: NASA, 1990.

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5

Kim, Sang-Wook. Computation of turbulent boundary layers flows with an algbraic stress turbulence model. [Washington, D.C: National Aeronautics and Space Administration, 1986.

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6

Brown, Douglas L. Computation of turbulent boundary layers employing the defect wall-function method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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7

Aichouni, Mohamed. Development and decay of turbulent pipe flows: An experimental and computational study. Salford: Universityof Salford, 1992.

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8

International Conference on Computational Methods and Experimental Measurements (4th 1989 Capri, Italy). Computers and experiments in stress analysis: Proceedings of the fourth International Conference on Computational Methods and Experimental Measurements, Capri, Italy, May 1989. Edited by Carlomagno G. M, Brebbia C. A, International Society for Computational Methods in Engineering., and Computational Mechanics Institute (Southampton, England). Southampton: Computational Mechanics, 1989.

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9

Doornbos, Richard. From scientific instrument to industrial machine: Coping with architectural stress in embedded systems. Dordrecht: Springer Netherlands, 2012.

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10

Zhu, Jiang. Calculations of diffuser flows with an anisotropic K-[epsilon] model. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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11

Chu, Chiang. Calculations of diffuser flows with an anisotropic K-[epsilon] model. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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12

Barkey, Derek A. Manual for program PSTRESS: Peel stress computation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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13

Lin, Hsiao. Numerical computation of stress waves in solids. Berlin: Akademie Verlag, 1996.

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14

Klein, Andreas. Stream Ciphers. London: Springer London, 2013.

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15

Demuren, A. O. Systematic study of Reynolds stress closure models in the computation of plane channel flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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16

Jim, Byrnes, and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Computational noncommutative algebra and applications. Dordrecht: Kluwer Academic Publishers, 2004.

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17

Oomens, C. W. J. Biomechanics: Concepts and computation. Cambridge: Cambridge University Press, 2009.

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18

Warfield, Matthew J. Computation of turbulent rotating channel flow with an algebraic Reynolds stress model. New York: AIAA, 1986.

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19

Cantariti, F. J. J. Computation of external aerodynamic flows using differential Reynolds stress modelling and unstructured grids. Manchester: UMIST, 1995.

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20

Greywall, Mahesh S. Computation of three-dimensional flows using two stream functions. Wichita, Kan: Wichita State University, National Institute for Aviation Research, 1991.

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21

Demuren, A. O. Systematic study of Reynolds stress closure models in the computations of plane channel flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1992.

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22

Thiriet, Marc. Tissue Functioning and Remodeling in the Circulatory and Ventilatory Systems. New York, NY: Springer New York, 2013.

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23

Saxcé, Géry. Limit State of Materials and Structures: Direct Methods 2. Dordrecht: Springer Netherlands, 2013.

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24

Brebbia, C. A. Computational Methods and Experimental Measurements VI: Stress Analysis. Computational Mechanics, 1993.

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25

(Editor), C. A. Brebbia, F. Paris (Editor), and J. Dominguez (Editor), eds. Boundary Elements XIV Vol. 2: Stress Analysis & Computational Aspects. Computational Mechanics, 1992.

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26

Lin, Zhiang (John), and Kathleen M. Carley. Designing Stress Resistant Organizations: Computational Theorizing and Crisis Applications. Springer London, Limited, 2013.

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27

Carley, Kathleen M., and Zhiang Lin. Designing Stress Resistant Organizations: Computational Theorizing and Crisis Applications. Springer, 2010.

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28

E, Schrock V., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Systems Research., and Lawrence Berkeley Laboratory, eds. A Computational model for critical flow through intergranular stress corrosion cracks. Washington, DC: Division of Systems Research, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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29

Carrera, Erasmo, Fiorenzo A. Fazzolari, and Maria Cinefra. Thermal Stress Analysis of Composite Beams, Plates and Shells: Computational Modelling and Applications. Elsevier Science & Technology Books, 2016.

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30

Stoddard Jr, Frederick J., David M. Benedek, Mohammed R. Milad, and Robert J. Ursano. Posttraumatic Stress Disorder. Edited by Frederick J. Stoddard, David M. Benedek, Mohammed R. Milad, and Robert J. Ursano. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190457136.003.0003.

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Posttraumatic stress disorder (PTSD) affects people of all ages and backgrounds and causes persistent suffering and impaired function, but its diagnosis offers the opportunity for early intervention. It is the subject of intensive developmental, epidemiological, genetic/genomic, translational, neurobiological, neuropsychological, and psychological research, and emerging computational methods with “big data,” statistical modeling, and machine learning are likely to accelerate this research. The findings from research on PTSD are changing education and the ways clinicians practice, offering the hope for improved care of those experiencing traumatic stress. Those at particular risk for PTSD include children and adolescents, women, soldiers, refugees and survivors of genocide, sexual orientation minorities, racial and ethnic minorities, patients with burns, injuries and medical trauma, and victims of rape, violence, accidents, and disasters. This chapter provides an overview of PTSD, covering Diagnostic and Statistical Manual of Mental Disorders (fifth edition) diagnostic criteria, epidemiology, neurochemistry and neurobiology, biological and psychological models, assessment, and treatment.
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31

Aamir, Shabbir, and United States. National Aeronautics and Space Administration., eds. Methods of ensuring realizability for non-realizable second order closures. [Washington, DC]: National Aeronautics and Space Administration, 1994.

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32

Lin, Zhiang (John), and Kathleen M. Carley. Designing Stress Resistant Organizations: Computational Theorizing and Crisis Applications (Information and Organization Design Series). Springer, 2003.

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33

S, Gillis, ed. Exploring artificial learning algorithms: Learning to stress Dutch simplex words. [Wilrijk, Belgium]: Universitaire Instelling Antwerpen, Departement Germaanse, Afdeling Linguïstiek, 1992.

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34

Shalev, Arieh Y., and Charles R. Marmar. Conceptual History of Post-Traumatic Stress Disorder. Edited by Charles B. Nemeroff and Charles R. Marmar. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190259440.003.0001.

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This chapter illustrates the conceptual and historical background of our current understanding of post-traumatic stress disorder (PTSD) and the implication of that history for current and future research and practice. It follows two parallel paths, conceptual and chronological, showing a progression in defining, recognizing, and diagnosing PTSD, The chapter discusses a stable conceptual space within which key clinical features of PTSD are conserved across time and cultures. The chapter also considers recent conceptual and definitional challenges emanating from new computational tools and advances in neurobehavioral research.
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35

Computation of turbulent boundary layers employing the defect wall-function method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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36

Carlomagno, G. M. Computers and Experiments in Stress Analysis: Proceedings of the Fourth International Conference on Computational Methods and Experimental Measurement. Springer-Verlag, 1989.

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37

A coupled/upcoupled computational scheme for deformation and fatique damage analysis of unidirectional metal-matrix composites. [Washington, DC: National Aeronautics and Space Administration, 1998.

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38

Ridha, Abid, and United States. National Aeronautics and Space Administration., eds. Prediction of complex aerodynamic flows with explicit algebraic stress models: 34th Aerospace Sciences Meeting & Exhibit, January 15-18, 1996/Reno, NV. Washington, D.C: American Institute of Aeronautics and Astronautics, 1996.

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39

Kagan, Vadim, Edward Rossini, and Demetrios Sapounas. Sentiment Analysis for PTSD Signals. Springer, 2013.

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40

B, Gatski T., and United States. National Aeronautics and Space Administration., eds. Time evolution of modeled Reynolds stresses in planar homogeneous flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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41

Kagan, Vadim, Edward Rossini, and Demetrios Sapounas. Sentiment Analysis for PTSD Signals. Springer London, Limited, 2013.

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42

Sentiment Analysis for PTSD Signals. Springer, 2013.

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43

Lehmann, Lutz. Wave Propagation in Infinite Domains: With Applications to Structure Interaction (Lecture Notes in Applied and Computational Mechanics). Springer, 2007.

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44

al, et, and C. Brebbia. Volume 1: Mathematical and Computational Aspects. Volume 2: Stress Analysis Applications. Volume 3: Fluid Flow and Potential Applications: Stuttgart, August/September 1987. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1987.

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45

Márquez Flórez, Kalenia M., Octavio Silva, Carlos A. Narváez Tovar, and Diego A. Garzón Alvarado. Contact stress distribution in the infant reduced hip joint with the pavlik harness treatment: a 3D computational model using discrete element analysis. Universidad Santo Tomas, 2014. http://dx.doi.org/10.15332/dt.inv.2021.02296.

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46

M, Sindir Munir, and United States. National Aeronautics and Space Administration., eds. Comparative study of advanced turbulence models for turbomachinery: Contract NAS8-38860, final report. [Washington, DC: National Aeronautics and Space Administration, 1996.

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47

Doornbos, Richard, and Sjir van Loo. From scientific instrument to industrial machine: Coping with architectural stress in embedded systems. Springer, 2012.

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48

Brebbia, C. A. ed. Volume 1: Mathematical and Computational Aspects. Volume 2: Heat Transfer, Fluid Flow, and Electrical Applications. Volume 3: Stress Analysis. Volume 4: ... and Vibrations: Southampton, UK, 1988. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1988.

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49

Final technical report for computational simulation of composite behavior: NASA grant number NAG3-1264 : grant duration, November 30, 1991 to November 2, 1996. [Washington, DC: National Aeronautics and Space Administration, 1997.

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50

Aerodynamic flow field measurements for automotive systems. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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