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Books on the topic 'R-curve'

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Published: 4 June 2021
Last updated: 9 February 2022

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1

Growth curve analysis and visualization using R. Boca Raton: CRC Press/Taylor & Francis Group, 2014.

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2

Orange, Thomas W. Estimating the R-Curve from residual strength data. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, 1985.

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3

Orange, Thomas W. Method and models for R-Curve instability calculations. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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4

Orange, Thomas W. Method and models for R-Curve instability calculations. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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5

Orange, Thomas W. Method and models for R-Curve instability calculations. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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6

Orange, Thomas W. Estimating the R-Curve from residual strength data. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, 1985.

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7

Bradt, R. C. Fracture Mechanics of Ceramics: Composites, R-Curve Behavior, and Fatigue. Boston, MA: Springer US, 1992.

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8

Shah, Priti Kotak. Direct J-R curve analysis: Application to testing of nuclear structural materials. Mumbai: Bhabha Atomic Research Centre, 2004.

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9

International Symposium on the Fracture Mechanics of Ceramics (7th 1999 Moscow, Russia). Crack-microstructure interaction, R-curve behavior, environmental effects in fracture, and standardization. New York: Kluwer Academic/Plenum, 2002.

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10

Hiser, A. L. Tensile and J-R curve characterization of thermally aged cast stainless steels. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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11

Hiser, A. L. Tensile and J-R curve characterization of thermally aged cast stainless steels. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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12

Bradt, R. C. Fracture Mechanics of Ceramics: Volume 13. Crack-Microstructure Interaction, R-Curve Behavior, Environmental Effects in Fracture, and Standardization. Boston, MA: Springer US, 2002.

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13

Mattei, Janet A. R Cygni light curves: 1900-2000. Cambridge, Mass: American Association of Variable Star Observers, 2002.

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14

Mattei, Janet A. R Scuti light curves: 1991-1996. Cambridge, Mass: American Association of Variable Star Observers, 1996.

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15

Mattei, Janet A. R Leonis light curves: 1905-2000. Cambridge, Mass: American Association of Variable Star Observers, 2002.

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16

Mattei, Janet A. R Scuti light curves: 1996-2000. Cambridge, Mass: American Association of Variable Star Observers, 2002.

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17

Mattei, Janet A. R Coronae Borealis light curves: 1991-1995. Cambridge, Mass: American Association of Variable Star Observers, 1996.

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18

Mattei, Janet A. R Coronae Borealis light curves: 1996-2000. Cambridge, Mass: American Association of Variable Star Observers, 2002.

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19

Repsold, H. Resistivity master curves for multiple-point resistivity measurements in boreholes: Layers of infinite thickness, normal and lateral arrays = : Widerstandsabweichungskurven für Mehrpunktwiderstandsverfahren in Bohrlöchern : Schichten mit unendlicher Mächtigkeit, Normal- und Lateral-Anordnung. Hannover: Bundesanstalt für Geowissenschaften und Rohstoffe und den Geologischen Landesämtern in der Bundesrepublik Deutschland, 1990.

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20

Hiser, A. L. Size effects on J-R curves for a 302-B plate. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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21

Hiser, A. L. Size effects on J-R curves for a 302-B plate. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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22

Chopra, O. K. Estimation of fracture toughness of cast stainless steels during thermal aging in LWR systems. Washington, D.C: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1991.

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23

Joyce, J. A. Comparison of J[subscript I][subscript c] and J-R curves for short crack and tensilely loaded specimen geometries of a high strength structural steel. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1992.

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24

1938-, Bradt R. C., and International Symposium on the Fracture Mechanics of Ceramics (5th : 1991 : Nagoya, Japan), eds. Composites, R-curve behavior, and fatigue. New York: Plenum Press, 1992.

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25

1938-, Bradt R. C., ed. R-curve behavior, toughness determination, and thermal shock. 1996.

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26

1938-, Bradt R. C., ed. R-curve behavior, toughness determination, and thermal shock. 1996.

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27

Center, Langley Research, ed. Multi-lab comparison of R-curve methodologies: Alloy 2024-T3. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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28

Center, Langley Research, ed. Multi-lab comparison of R-curve methodologies: Alloy 2024-T3. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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29

Multi-lab comparison of R-curve methodologies: Alloy 2024-T3. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1994.

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30

Fracture Mechanics of Ceramics: Composites, R-Curve Behavior, and Fatigue. Springer, 2012.

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31

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering., University of Tennessee Knoxville, and Oak Ridge National Laboratory, eds. Extrapolation of the J-R curve for predicting reactor vessel integrity. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1992.

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32

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering., University of Tennessee Knoxville, and Oak Ridge National Laboratory, eds. Extrapolation of the J-R curve for predicting reactor vessel integrity. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1992.

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33

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering., University of Tennessee Knoxville, and Oak Ridge National Laboratory, eds. Extrapolation of the J-R curve for predicting reactor vessel integrity. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1992.

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34

(Editor), R. C. Bradt, D. Munz (Editor), M. Sakai (Editor), V. Ya Shevchenko (Editor), and K. W. White (Editor), eds. Fracture Mechanics of Ceramics, Volume 13 - Crack-Microstructure Interaction, R-Curve Behavior,. Springer, 2002.

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35

(Editor), R. C. Bradt, D.P.H. Hasselman (Editor), D. Munz (Editor), M. Sakai (Editor), and V. Ya Shevchenko (Editor), eds. Fracture Mechanics of Ceramics: Volume 9: Composites, R-Curve Behavior, and Fatigue (Fracture Mechanics of Ceramics). Springer, 1992.

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36

Waagen, Elizabeth O., E. Grant Foster, and Janet A. Mattei. R Scuti Light Curves, 1985-1990. American Association of Variable Star Observe, 1991.

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37

A, Mattei Janet, and American Association of Variable Star Observers., eds. R Scuti light curves, 1963-1985. Cambridge, Mass., USA (25 Birch St., Cambridge 02138): American Association of Variable Star Observers, 1988.

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38

Dee, Miss, Dominique Cole, and Ariel Carter. Curves of Destruction: An R&B Anthology. Independently Published, 2018.

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39

Stoneman, Paul, Eleonora Bartoloni, and Maurizio Baussola. Empirical Evidence on the Determination of the Extent of Product Innovation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198816676.003.0008.

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This chapter considers determinants of product innovation across and within firms. Firms that are innovative in one dimension are also innovative in others; thus both what distinguishes the innovating firm and the literature based upon the analysis of various innovation indicators can give insight into the determinants of product innovation. It is concluded that (i) technological characteristics of industries matter; (ii) firm and market characteristics are related, but not linearly, to innovation; (iii) the two most important firm characteristics are internal finance and sales; (iv) there is an inverted U-curve relationship between competition and R&D; (v) competition in foreign markets is predominantly found to have positive effects on innovation at home; (vi) there are various spillover effects. Survey data on the constraints to innovation indicate that the issues considered to be of main importance are (i) innovation costs; (ii) risk and finance; and (iii) the availability of qualified labour.
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40

Waagen, Elizabeth O., E. Grant Foster, and Janet A. Mattei. R Coronae Borealis Light Curves, 1843-1990 (Aavso Monograph). American Association of Variable Star Observe, 1991.

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41

Peacock, Janet L., Sally M. Kerry, and Raymond R. Balise. Single group studies. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198779100.003.0006.

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Chapter 6 discusses single group studies, and covers prevalence, how to present results, screening studies, calculating, and presenting sensitivity and specificity. It discusses how to deal with calculations with a rare condition where the numbers are small. Finally, it discusses the use of receiver operating characteristic (ROC) curves. The chapter includes analyses using Stata, SAS, SPSS, and R.
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42

Waagen, Elizabeth O., E. Grant Foster, and Janet A. Mattei. R Scuti Light Curves, 1991-1995: Aavso Monograph 3, Supplement 2. American Association of Variable Star Observe, 1996.

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43

Series, Michigan Historical Reprint. Metric properties of nets of plane curves... by H. R. Kingston. Scholarly Publishing Office, University of Michigan Library, 2005.

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44

Waagen, Elizabeth O., E. Grant Foster, and Janet A. Mattei. R Coronae Borealis Light Curves, 1991-1995: Aavso Monograph 4, Supplement 1. American Association of Variable Star Observe, 1996.

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45

E, Nelson E., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering., and Modeling and Computing Services (Firm), eds. Improved model for predicting J-R curves from Charpy data: Phase I final report. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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46

E, Nelson E., U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering., and Modeling and Computing Services (Firm), eds. Improved model for predicting J-R curves from Charpy data: Phase I final report. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1989.

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47

Joyce, J. A. Extension and extrapolation of J-R curves and their application to the low upper shelf toughness issue. Supt. of Docs., U.S. G.P.O. [distributor], 1991.

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48

Plastics in Automotive Engineering 2016. VDI Verlag, 2016. http://dx.doi.org/10.51202/9783182443438.

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The lightness of design Lines and curves make the pavilion a dynamic and trimmed sculpture whose characteristics derive from the brand image of the vehicle manufacturer. Uniform, matt stainless steel sheets wrap the body shell seamlessly. In a similar way to monocoque design, which is used in lightweight construction in the automotive and aircraft industries, the space-creating shell of the building takes over the load-bearing function. A total of 620 stainless steel covering sheets with welded-on stiffening ribs were prefabricated in a shipyard in Stralsund and assembled on site Table of contents conference proceedings 5 Anspruchsvolle Oberflächen und Leichtbau in der Instrumententafel des neuen Volkswagen Tiguan Mielke, R. / Dierks, P. | 201 19 3D Simulation für den Leichtbau in der kunststoffverarbeitenden Industrie Kurz, M. | 2016 31 Neuartige PUR-Oberflächen. Selbstheilend und mehr Kleba, I. / Emig, J. | 2016 47 Mono-polymer lift-gate solution cuts CO2 emissions Liraut, ...
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49

U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering. and Argonne National Laboratory, eds. Estimation of fracture toughness of cast stainless steels during thermal aging in LWR systems. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1994.

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50

Maggiore, Michele. Gravitational Waves. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198570899.001.0001.

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A comprehensive and detailed account of the physics of gravitational waves and their role in astrophysics and cosmology. The part on astrophysical sources of gravitational waves includes chapters on GWs from supernovae, neutron stars (neutron star normal modes, CFS instability, r-modes), black-hole perturbation theory (Regge-Wheeler and Zerilli equations, Teukoslky equation for rotating BHs, quasi-normal modes) coalescing compact binaries (effective one-body formalism, numerical relativity), discovery of gravitational waves at the advanced LIGO interferometers (discoveries of GW150914, GW151226, tests of general relativity, astrophysical implications), supermassive black holes (supermassive black-hole binaries, EMRI, relevance for LISA and pulsar timing arrays). The part on gravitational waves and cosmology include discussions of FRW cosmology, cosmological perturbation theory (helicity decomposition, scalar and tensor perturbations, Bardeen variables, power spectra, transfer functions for scalar and tensor modes), the effects of GWs on the Cosmic Microwave Background (ISW effect, CMB polarization, E and B modes), inflation (amplification of vacuum fluctuations, quantum fields in curved space, generation of scalar and tensor perturbations, Mukhanov-Sasaki equation,reheating, preheating), stochastic backgrounds of cosmological origin (phase transitions, cosmic strings, alternatives to inflation, bounds on primordial GWs) and search of stochastic backgrounds with Pulsar Timing Arrays (PTA).
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