Książki na temat „MODELED PILE”

Bekbasarov, Isabay. Study of the process of driving piles and dies on models. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1074097.

F, Van Impe W., red. Single piles and pile groups under lateral loading. Rotterdam: Balkema, 2001.

Paikowsky, Samuel G. Extrapolation of pile capacity from non-failed load tests. McLean, Va: Turner-Fairbank Highway Research Center, 1999.

International Conference on Vibratory Pile Driving and Deep Soil Compaction (2000 Louvain-la-Neuve, Belgium). Vibratory pile driving and deep soil compaction: TRANSVIB2002 ; proceedings of the International Conference on Vibratory Pile Driving and Deep Soil Compaction, Louvain-la-Neuve, Belgium, 9-10 September 2002. Lisse: Balkema, 2002.

Modak, Sukomal. Determination of rheological parameters of pile foundations for bridges for earthquake analysis. [Olympia]: Washington State Dept. of Transportation, 1997.

Cofer, William F. Determination of rheological parameters of pile foundations for bridges for earthquake analysis. [Olympia]: Washington State Dept. of Transportation, 1997.

Ananat, Elizabeth Oltmans. The power of the pill for the next generation. Cambridge, Mass: National Bureau of Economic Research, 2007.

Kikō, Genshiryoku Anzen Kiban. OECD/NEA T-jikan benchi māku kaiseki: Heisei 21-nendo. [Tokyo]: Genshiryoku Anzen Kiban Kikō, 2010.

Ross, Darrell W. Estimating aboveground biomass of shrubs and young ponderosa and lodgepole pines in southcentral Oregon. Corvallis, Or: Forest Research Laboatory, College of Forestry, Oregon State University, 1986.

Wright, Clinton S. Estimating volume, biomass, and potential emissions of hand-piled fuels. Portland, Or: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2010.

Osika, Jan. Modelowanie matematyczne i symulacja procesu pielgrzymowania rur na zimno. Kraków: Wydawnictwa AGH, 1994.

Krohelski, J. T. Hydrologic investigation of Powell Marsh and its relation to Dead Pike Lake, Vilas County, Wisconsin. Middleton, Wis. (8505 Research Way, Middleton 53562-3586): U.S. Geological Survey, 2002.

J, Zarnoch Stanley, i Southeastern Forest Experiment Station (Asheville, N.C.), red. Growth and crown vigor of 25-year-old shortleaf pine progenies on a littleleaf disease site. Asheville, N.C. (P.O. Box 2680, Asheville 28802): U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1994.

Gaztelurrutia, M. del Río. Modelo de simulación de claras en masas de Pinus sylvestris L. Madrid: Instituto nacional de investigación y tecnología agraria y alimentaria, 2001.

All fluid-flow-regimes simulation model for internal flows. New York: Nova Science Publishers, 2011.

Kaganovich, B. M. Ėlementy teorii geterogennykh gidravlicheskikh t͡s︡epeĭ. Novosibirsk: "Nauka", Sibirskoe predprii͡a︡tie RAN, 1997.

I͡A︡, Khasilev V., i Sukharev Mikhail Grigorʹevich, red. Teorii͡a︡ gidravlicheskikh t͡s︡epeĭ. Moskva: "Nauka", 1985.

Stephens, Jerry E. Performance of steel pipe pile-to-concrete bent cap connections subject to seismic or high transverse loading, phase II: Final report. Helena]: Montana Dept. of Transportation, 2005.

Stephens, Jerry E. Performance of steel pipe pile-to-concrete bent cap connections subject to seismic or high transverse loading, phase II: Project summary report. Helena, Mont: Montana Dept. of Transportation, 2005.

Tait, D. E. The stand dynamics of lodgepole pine. Vancouver: Forest Economics and Policy Analysis Research Unit, University of British Columbia, 1988.

McClure, Joe P. A comparison of regional and site-specific volume estimation equations. Asheville, N.C: U.S. Dept. of Agriculture, Forest Service, Southeastern Forest Experiment Station, 1987.

Nigh, Gordon D. Growth intercept, years-to-breast-height, and juvenile height growth models for ponderosa pine. Victoria: British Columbia Ministry of Forests, Forest Science Program, 2002.

Pacific Northwest Research Station (Portland, Or.), red. Stocking levels and underlying assumptions for uneven-aged ponderosa pine stands. [Portland, Or.] (333 S.W. First St., P.O. Box 3890, Portland 97208-3890): U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1992.

R, Mohan, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology. i Battelle Memorial Institute, red. Development of a J-estimation scheme for internal circumferential and axial surface cracks in elbows. Washington, DC: Division of Engineering Technology, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1996.

Volobuev, A. N. Osnovy nessimetrichnoĭ gidromekhaniki. Saratov: SamLi︠u︡ksPrint, 2011.

Wylie, E. Benjamin. Fluid transients in systems. Englewood Cliffs, NJ: Prentice Hall, 1993.

Bauer, Christopher. Low Reynolds number [kappa]-[epsilon] and empirical transition models for oscillatory pipe flow and heat transfer. [Washington, D.C: National Aeronautics and Space Administration, 1993.

Thies, W. G. A field guide to predict delayed mortality of fire-damaged ponderose pine: Application and validation of the Malheur model. Portland, OR: United States Dept. of Agriculture, Forest Service, Pacific Norhtwest Research Station, 2008.

Nelson, Trisalyn. Using conditional spatial randomization to identify insect infestation hot spots. Victoria, B.C: Pacific Forestry Centre, 2007.

1936-, Chang S. J., red. VB merch-lob: A growth-and-yield prediction system with a merchandising optimizer for planted loblolly pine in the West Gulf region. Asheville, N.C: United States Dept. of Agriculture, Forest Service, Southern Research Station, 2005.

Fietz, T. R. Analysis of pipe tests. Manly Vale, N.S.W: Water Research Laboratory, The University of New South Wales, 1989.

1936-, Chang S. J., red. VB merch-slash: A growth-and-yield prediction system with a merchandising optimizer for planted slash pine in the West Gulf region. Asheville, N.C: United States Dept. of Agriculture, Forest Service, Southern Research Station, 2005.

1959-, Leduc Daniel J., i United States. Forest Service. Southern Research Station., red. Predicting diameter distributions of longleaf pine plantations: A comparison between artificial neural networks and other accepted methodologies. Asheville, NC: U.S. Dept. of Agriculture, Forest Service, Southern Research Station, 2001.

Ganiev, Rivner Fazylovich. Nonlinear wave mechanics and technologies: Wave and oscillatory phenomena on the basis of high technologies. Redding, CT: Begell House, 2012.

A, Mulac Richard, Celestina Mark L i Lewis Research Center, red. A model for closing the inviscid form of the average-passage equation system. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, 1986.

Nigh, Gordon Donald. Identifying and modelling the spatial distribution dynamics of regenerating lodgepole pine. Victoria: British Columbia, Ministry of Forests, Research Program, 1997.

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

Battles, John. Projecting climate change impacts on forest growth and yield for California's Sierran mixed conifer forests: Final paper. Sacramento, Calif.]: California Energy Commission, 2009.

Björklund, Niklas. Source or sink stands: Can stand parameters be used to predict mountain pine beetle brood production with enough precision to be useful for assigning treatment priorities? Victoria, B.C: Pacific Forestry Centre, 2008.

United States. National Aeronautics and Space Administration., red. Numerical prediction of turbulent oscillating flow and heat transfer in pipes with various end geometries. [Washington, D.C: National Aeronautics and Space Administration, 1995.

Nigh, Gordon D. Identification and simulation of the spatial pattern of juvenile lodgepole pine in the sub-boreal spruce biogeoclimatic zone, stuart dry warm and babine moist cold variants. Victoria, B.C: Canada-British Columbia Partnership Agreement on Forest Resource Development, 1996.

Nigh, Gordon Donald. Juvenile height models for lodgepole pine and interior spruce: Validation of existing models and development of new models. Victoria, B.C: British Columbia, Ministry of Forests, Forest Science Program, 2004.

R, Ettema, Melville Bruce W, National Cooperative Highway Research Program i National Research Council (U.S.). Transportation Research Board, red. Evaluation of bridge-scour research: Abutment and contraction scour processes and prediction. Washington, D.C: National Cooperative Highway Research Program, Transportation Research Board of the National Academies, 2011.

Robertson, C. Preliminary risk rating for mountain pine beetle infestation of lodgepole pine forests over large areas with ordinal regression modelling. Victoria, B.C: Pacific Forestry Centre, 2009.

Robbins, Kay A. The Cray X-MP/Model 24: A case study inpipelined architecture and vector processing. New York: Springer-Verlag, 1989.

Robbins, Kay A. The Cray X-MP/Model 24: A case study in pipelined architecture and vector processing. New York: Springer-Verlag, 1989.

Runzer, K. Temporal composition and structure of post-beetle lodgepole pine stands: Regeneration, growth, economics and harvest implications. Victoria, B.C: Pacific Forestry Centre, 2008.

Yuan, S. P. A near-wall Reynolds-stress closure without wall normals. [Washington, DC: National Aeronautics and Space Administration, 1997.

C, So Ronald M., i United States. National Aeronautics and Space Administration., red. A near-wall Reynolds-stress closure without wall normals: Final report ... under grant number NAG-1-1772. Tempe, Ariz: College of Engineering and Applied Sciences, Arizona State University, 1997.

C, So Ronald M., i United States. National Aeronautics and Space Administration., red. A near-wall Reynolds-stress closure without wall normals: Under grant NAG1-1772. [Washington, DC: National Aeronautics and Space Administration, 1997.