Academic literature on the topic 'ROUGHNESS OF MODEL PILES'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'ROUGHNESS OF MODEL PILES.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "ROUGHNESS OF MODEL PILES"
Liu, Jun, Zhongwei Li, Guoliang Dai, and Weiming Gong. "Field Measurement and Theoretical Analysis of Sidewall Roughness on Shaft Resistance of Rock-Socketed Piles." Journal of Marine Science and Engineering 11, no. 8 (August 19, 2023): 1622. http://dx.doi.org/10.3390/jmse11081622.
Full textAlawneh, Ahmed Shlash, Abdallah I. Husein Malkawi, and Husein Al-Deeky. "Tension tests on smooth and rough model piles in dry sand." Canadian Geotechnical Journal 36, no. 4 (November 22, 1999): 746–53. http://dx.doi.org/10.1139/t98-104.
Full textWang, Yan Qiang, Rui Gao, and Ya Wu Zeng. "Model Test of Roughness’ Influence on Bearing Mechanism in Rock-Socketed Pile." Advanced Materials Research 243-249 (May 2011): 3072–77. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.3072.
Full textSubair, Aysar Hassan, and Ala Nasir Aljorany. "Shaft Resistance of Long (Flexible) Piles Considering Strength Degradation." Journal of Engineering 27, no. 3 (February 27, 2021): 54–66. http://dx.doi.org/10.31026/j.eng.2021.03.04.
Full textMuszyński, Zbigniew, and Marek Wyjadłowski. "Assessment of surface parameters of VDW foundation piles using geodetic measurement techniques." Open Geosciences 12, no. 1 (August 3, 2020): 547–67. http://dx.doi.org/10.1515/geo-2020-0042.
Full textTovar-Valencia, Ruben D., Ayda Galvis-Castro, Rodrigo Salgado, and Monica Prezzi. "Effect of Surface Roughness on the Shaft Resistance of Displacement Model Piles in Sand." Journal of Geotechnical and Geoenvironmental Engineering 144, no. 3 (March 2018): 04017120. http://dx.doi.org/10.1061/(asce)gt.1943-5606.0001828.
Full textBouafia, Ali. "Étude expérimentale du chargement latéral cyclique répété des pieux isolés dans le sable en centrifugeuse." Canadian Geotechnical Journal 31, no. 5 (October 1, 1994): 740–48. http://dx.doi.org/10.1139/t94-085.
Full textKhari, Mahdy, Khairul Anuar Kassim, and Azlan Adnan. "Development ofp-yCurves of Laterally Loaded Piles in Cohesionless Soil." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/917174.
Full textGALLAS, JASON A. C., and STEFAN SOKOLOWSKI. "GRAIN NON-SPHERICITY EFFECTS ON THE ANGLE OF REPOSE OF GRANULAR MATERIAL." International Journal of Modern Physics B 07, no. 09n10 (April 20, 1993): 2037–46. http://dx.doi.org/10.1142/s0217979293002754.
Full textAksoy, Huseyin Suha, Nichirvan Ramadhan Taher, Aykut Ozpolat, Mesut Gör, and Omer Muhammad Edan. "An Experimental Study on Estimation of the Lateral Earth Pressure Coefficient (K) from Shaft Friction Resistance of Model Piles under Axial Load." Applied Sciences 13, no. 16 (August 17, 2023): 9355. http://dx.doi.org/10.3390/app13169355.
Full textDissertations / Theses on the topic "ROUGHNESS OF MODEL PILES"
Nunez, Ian Louis. "Centrifuge model tension piles in clay." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.316783.
Full textJacobson, Linnea, and Viktor Karlsson. "Design Model for Driven Concrete Piles According to Eurocode." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-118573.
Full textSands, Timothy Bryan. "Interaction between model bored piles and swelling London clay." Thesis, University of Hertfordshire, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.289605.
Full textLopez, Sabater Carlos Joaquin. "An empirical model of hydraulic roughness for overland flow." Diss., The University of Arizona, 2001. http://hdl.handle.net/10150/280353.
Full textVilleneuve, Joey. "Laboratory Testing for Adfreeze Bond of Sand on Model Steel Piles." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37323.
Full textJeffrey, John. "Investigating the performance of continuous helical displacement piles." Thesis, University of Dundee, 2012. https://discovery.dundee.ac.uk/en/studentTheses/9877bf01-2251-4b34-aa8b-0ff9fc36a264.
Full textDapp, Steven Douglas. "Static Lateral Load Testing of Model Piles in Clay Soil Phase 1." DigitalCommons@USU, 2000. https://digitalcommons.usu.edu/etd/4544.
Full textNguyen, Van-Tri. "Thermal and thermo-mechanical behavior of energy piles." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1160/document.
Full textThe thermal and thermo-mechanical behavior of energy piles is investigated by various approaches: laboratory measurement on small soil samples, physical modeling on small-scale pile, experiments on real-scale pile, and analytical/numerical calculations. First, the thermal conductivity of unsaturated loess is measured simultaneously with moisture content and suction. The results show a unique relationship between thermal conductivity and moisture content during a wetting/drying cycle while a clear hysteresis loop can be observed on the relationship between thermal conductivity and suction. Second, thermal tests are performed on a full-scale experimental energy pile to observe heat transfer at the real scale. Third, an analytical solution is proposed to simulate conductive heat transfer from an energy pile to the surrounding soil during heating. The above-mentioned tasks related to the thermal behavior are then completed by studies on the thermo-mechanical behavior of energy piles. On one hand, experiments are performed on a small-scale pile installed either in dry sand or in saturated clay. Thirty thermal cycles, representing thirty annual cycles, are applied to the pile under various constant pile head loads. The results show irreversible pile head settlement with thermal cycles; the settlement is higher at higher pile head load. In addition, the irreversible thermal settlement is the most significant during the first cycles; it becomes negligible at high number of cycles. On the other hand, the experimental work with small-scale pile is completed with numerical calculations by using the finite element method. This approach is first validated with the results on small-scale pile prior to be used to predict the results of full-scale experiments
Louw, Hendrik. "Modelling horizontally loaded piles in the geotechnical centrifuge." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/73182.
Full textDissertation (MEng)--University of Pretoria, 2020.
The Concrete Institute
Concrete Society of Southern Africa
WindAfrica project
Civil Engineering
MEng (Structural Engineering)
Unrestricted
Silveira, Mariana Vela. "Neuronal model for prediction of settlements in cintinua auger piles, metal and excavated." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12232.
Full textEstimar o recalque em estacas à um problema muito complexo, incerto e ainda nÃo totalmente compreendido, devido Ãs muitas incertezas associadas aos fatores que afetam a magnitude desta deformaÃÃo. As RNA sÃo ferramentas que funcionam analogamente ao cÃrebro humano, e sua unidade principal, o neurÃnio artificial, trabalha de maneira semelhante ao neurÃnio biolÃgico. Esta ferramenta alternativa vem sendo aplicada com sucesso em muitos problemas de engenharia geotÃcnica, podendo, portanto ser utilizadas como uma ferramentas alternativas para avaliar recalques em estacas isoladas. Nessa pesquisa as RNA utilizadas foram do tipo perceptron de mÃltiplas camadas, empregando um treinamento supervisionado utilizando o algoritmo de retropropagaÃÃo do erro. O modelo desenvolvido relaciona o recalque em estacas isoladas com as propriedades geomÃtricas das estacas (diÃmetro e comprimento), a estratigrafia e as caracterÃsticas de compacidade, ou consistÃncia dos solos por meio dos resultados obtidos nos ensaios SPT, e a carga atuante, obtidas em provas de carga realizadas em estacas hÃlice contÃnua, cravada metÃlica e escavada. O conjunto de aprendizagem foi composto por 1947 exemplos de entrada e saÃda. Com auxilio do programa QNET2000 foram treinadas e validadas vÃrias arquiteturas de redes neurais. ApÃs comparar o desempenho da curva carga x recalque elaborada com os recalques estimados pelo modelo proposto com a curva carga x recalque resultante da prova de carga estÃtica e com a curva carga x recalque gerada pelo emprego do programa comercial baseado em elementos finitos tridimensionais PLAXIS 3D Foundation, constatou-se que as RNA foram capazes de entender o comportamento das fundaÃÃes profundas do tipo estacas hÃlice contÃnua, escavada e cravada metÃlica, possibilitando dentre outras coisas, a definiÃÃo das cargas de trabalho e cargas limites nas estacas.
Predicting the settlement in deep foundation is a very complex, uncertain and not yet fully understood, due to the many uncertainties associated with factors that affect the magnitude of this deformation. Artificial Neural Network (ANN) is a tool that works similarly to the human brain, its main unit, the artificial neuron, works in a similar way to the biological neuron. This alternative tool has been successfully applied in many geotechnical engineering problems and can therefore be used as an alternative tool to evaluate the behavior of settlement in isolated piles. In this paper, the ANN used were the multilayer perceptron type, employing a supervised training that uses the error back propagation algorithm. The model developed relates settlement in isolated piles with the type and the geometrical properties of the piles (diameter and length), the stratigraphy and characteristics of compactness or consistency of soils by means of the SPT tests results, and the load applied, obtained in static pile load tests performed in continuous helix, steel driven and excavated pile types. The data set used to model consisted of 1.947 samples of input and output. QNET 2000 was the program used to assist the training and validation of various architectures of neural networks. The architecture formed by 10 nodes in the input layer, 28 neurons distributed in 4 intermediate layers and one neuron in the output layer, corresponding to the measured discharge for cutting (A10: 14:8:4:2:1) was the one that showed the best performance, with the correlation coefficient between the estimated settlements and settlements measured during the validation phase of 0.94, such value can be considered satisfactory when considering the prediction of a complex phenomenon. After comparing the performance of the applied load x settlement estimated by model proposed curve with the applied load x settlement measured in static pile load test curve and the applied load x settlement estimated by an elasto-plastic model thru numerical simulation, it was found that the ANN were able to understand the behavior of deep foundations of continuous helix, steel driven and excavated piles type, allowing among other things, the definition of workloads and load limits at the pile.
Books on the topic "ROUGHNESS OF MODEL PILES"
Papagiannakis, A. T. A roughness model describing heavy vehicle-pavement interaction. [Olympia]: Washington State Dept. of Transportation, 1995.
Find full textUnited States. Federal Highway Administration. and Atkinson-Noland & Associates., eds. Centrifugal testing of model piles and pile groups. McLean, Va: U.S. Dept. of Transportion, Federal Highway Administration, 1985.
Find full textV, Vorburger T., and United States. National Bureau of Standards, eds. The Wind tunnel model surface gauge for measuring roughness. [Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.
Find full textHapke, Bruce. Applications of an energy transfer model to three problems in planetary regoliths: The solid-state greenhouse, thermal beaming, and emittance spectra. [Washington, DC: National Aeronautics and Space Administration, 1996.
Find full textBekbasarov, 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.
Full textHarder, Markus. Dynamik, Rauhigkeit und Alter des Meereises in der Arktis: Numerische Untersuchungen mit einem grossskaligen Modell = Dynamics, roughness, and age of Arctic sea ice : numerical investigations with a large-scale model. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 1996.
Find full textLake, G. C. The development of shaft friction and end bearing resistance for dynamically-driven model piles. 1986.
Find full textYust, Jason. Structural Networks and the Experience of Musical Time. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190696481.003.0005.
Full textMcAdams, Stephen, and Bruno L. Giordano. The perception of musical timbre. Edited by Susan Hallam, Ian Cross, and Michael Thaut. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199298457.013.0007.
Full textChan, Johnny C. L. Physical Mechanisms Responsible for Track Changes and Rainfall Distributions Associated with Tropical Cyclone Landfall. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190676889.013.16.
Full textBook chapters on the topic "ROUGHNESS OF MODEL PILES"
Hartung, M., K. Meier, and W. Rodatz. "Integrity testing on model piles." In Application of Stress-Wave Theory to Piles, 265–69. London: Routledge, 2022. http://dx.doi.org/10.1201/9781315137544-37.
Full textTang, Chong, and Kok-Kwang Phoon. "Evaluation of Design Methods for Helical Piles." In Model Uncertainties in Foundation Design, 457–518. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9780429024993-8.
Full textIskander, Magued. "Similitude between Model and Full Scale Piles." In Springer Series in Geomechanics and Geoengineering, 187–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13108-0_8.
Full textHelfrich, W., and B. Klösgen. "Adhesion and Roughness of Biological Model Membranes." In Springer Proceedings in Physics, 2–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76008-2_1.
Full textMcKeon, Beverley J. "Turbulent Channel Flow over Model “Dynamic” Roughness." In IUTAM Symposium on The Physics of Wall-Bounded Turbulent Flows on Rough Walls, 87–92. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9631-9_12.
Full textTrung, Do Duc, Trinh Kieu Tuan, Tran Quoc Hoang, Nguyen Van Tuan, and Luu Anh Tung. "Surface Roughness Model When Grinding 1066 Steel." In Advances in Engineering Research and Application, 897–908. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92574-1_92.
Full textEnglan, M. "Pile settlement behaviour: An accurate model." In Application of Stress-Wave Theory to Piles, 695. London: Routledge, 2022. http://dx.doi.org/10.1201/9781315137544-104.
Full textEngland, M. "Pile settlement behaviour: An accurate model." In Application of Stress-Wave Theory to Piles, 91–97. London: Routledge, 2022. http://dx.doi.org/10.1201/9781315137544-13.
Full textLiang, R. Y., and Yangjing Sheng. "Theoretical interpretation of Smith′ model parameters." In Application of Stress-Wave Theory to Piles, 111–16. London: Routledge, 2022. http://dx.doi.org/10.1201/9781315137544-16.
Full textHadi, Yasir, and Salah Gasim Ahmed. "Assessment of Surface Roughness Model for Turning Process." In IFIP International Federation for Information Processing, 152–58. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-34403-9_19.
Full textConference papers on the topic "ROUGHNESS OF MODEL PILES"
Kullolli, Borana, Matthias Baeßler, Pablo Cuéllar, Shilton Rica, and Frank Rackwitz. "An Enhanced Interface Model for Friction Fatigue Problems of Axially Loaded Piles." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96078.
Full textTovar-Valencia, Ruben D., Ayda Galvis-Castro, Monica Prezzi, and Rodrigo Salgado. "Effect of Surface Roughness on the Tensile and Compressive Shaft Resistance of Displacement Model Piles in Sand." In International Foundations Congress and Equipment Expo 2021. Reston, VA: American Society of Civil Engineers, 2021. http://dx.doi.org/10.1061/9780784483404.013.
Full textRaju, Devika. "AN EXPERIMENTAL INVESTIGATION ON BEHAVIOUR OF TIMBER PILE GROUPS IN SANDY SOIL." In International Conference on Innovations in Computing Materials & Communication Technologies. San International Scientific Publications, 2023. http://dx.doi.org/10.59646/proceedings/003.
Full textAinola, Leo, Tiit Koppel, Kalle Tiiter, and Anatoli Vassiljev. "Water Network Model Calibration Based on Grouping Pipes with Similar Leakage and Roughness Estimates." In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000. Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40517(2000)197.
Full textHartloper, C., K. K. Botros, J. Geerligs, H. Golshan, and K. Jensen. "Measurements and Evaluation of Internal Wall Surface Roughness of Small Diameter Pipes for High Pressure Natural Gas Systems." In 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33019.
Full textEbadi, Adel, Zohreh Mansoori, Majid Saffar-Avval, and Goodarz Ahmadi. "Wall Roughness Effect on Heat Transfer Rate of the Turbulent Gas-Solid Flow in Inclined Pipes." In ASME 2014 4th Joint US-European Fluids Engineering Division Summer Meeting collocated with the ASME 2014 12th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/fedsm2014-21778.
Full textBhatt, Chinmay P., and Stephen T. McClain. "Assessment of Uncertainty in Equivalent Sand-Grain Roughness Methods." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42105.
Full textAwad, M. M., and Y. S. Muzychka. "A Simple Asymptotic Compact Model for Two-Phase Frictional Pressure Gradient in Horizontal Pipes." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61410.
Full textPisarenco, Maxim, Bas van der Linden, Arris Tijsseling, Emmanuel Ory, and Jacques Dam. "Friction Factor Estimation for Turbulent Flows in Corrugated Pipes With Rough Walls." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79854.
Full textGhasvari-Jahromi, H., Gh Atefi, A. Moosaie, and S. Hormozi. "Analytical Solution of Turbulent Problems Using Governing Equation of Cosserat Continuum Model." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15837.
Full textReports on the topic "ROUGHNESS OF MODEL PILES"
Brown, Gary S. A New Composite Roughness Surface Scattering Model. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada248891.
Full textBrown, Gary S. A New Composite Roughness Surface Scattering Model. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada249810.
Full textVorburger, T. V., D. E. Gilsinn, E. C. Teague, C. H. W. Giauque, F. E. Scire, and L. X. Cao. The wind tunnel model surface gauge for measuring roughness. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3586.
Full textBane, Karl LF. The Resonator Impedance Model of Surface Roughness Applied to the LCLS Parameters. Office of Scientific and Technical Information (OSTI), March 1999. http://dx.doi.org/10.2172/9892.
Full textHitney, Herbert V. An Approximate Model for Vertical Polarization and Surface Roughness Using the Parabolic Equation. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada278091.
Full textStyles, Richard, Scott Glenn, and Mitchell Brown. An optimized combined wave and current bottom boundary layer model for arbitrary bed roughness. Coastal and Hydraulics Laboratory (U.S.), July 2017. http://dx.doi.org/10.21079/11681/22734.
Full textJackson, Darrell R., Paul D. Ingalis, and Kou-Ying Moravan. 100 Hz-10 kHz Bottom Backscattering Model: Generalized Treatment of Sediment Sound Propagation, Sediment Volume Scattering, and Interface-Roughness Scattering. Fort Belvoir, VA: Defense Technical Information Center, April 1994. http://dx.doi.org/10.21236/ada291323.
Full textLei, Jiangtao, Marcos Arroyo, Matteo Ciantia, and Ningning Zhang. Grain roughness effect on the critical state line of crushable sands. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001234.
Full textMcKnight, C., David May, and Keaton Jones. Numerical analysis of dike effects on the Mississippi River using a two-dimensional Adaptive Hydraulics model (AdH). Engineer Research and Development Center (U.S.), November 2022. http://dx.doi.org/10.21079/11681/46120.
Full textAgassi, Menahem, Michael J. Singer, Eyal Ben-Dor, Naftaly Goldshleger, Donald Rundquist, Dan Blumberg, and Yoram Benyamini. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, November 2001. http://dx.doi.org/10.32747/2001.7586479.bard.
Full text