Comparison Of Direct And Superposition Methods Of The Coupled Horizontal And Rocking Vibration Of Block Machine Foundations
Geotechnical Engineering Project Topics
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The analysis and design of machine foundation requires more attention since it rninvolves both the static loads and the dynamic loads caused by the machine. The rnresponse of such foundation under machine induced vibration depends on several rnparameters such as the shape and size of the foundation, depth of embedment,rnstatic load, dynamic excitation frequency, and other geotechnical parameters. rn The main objective of this study focuses on the sensitivity and comparativernstudy of coupled horizontal and rocking vibration of block machine foundation byrnapplying a direct approach which directly considers the combined effect of forcernand moment without simplifications. This direct approach is compared with a superpositionrnmethodrnwhichrnusesrnsimplernsuperpositionrnofrnthernseparaternactionrnofrnthernrnforcernandrnthernmoment.rnInrnbothrnmethodsrnimpedancernfunctionsrnarernutilizedrnbyrnmakingrnusernofrncompiledrnclosedrnformrnexpressionsrnandrndimensionlessrngraphsrnforrnthernpurposernrnof determining frequency dependent dynamic stiffness and dashpot coefficients.rnrn rnrnTheoreticalrnresultsrnarernalsornvalidatedrnbyrncomparingrnresultsrnfromrnexistingrnexperimentalrninvestigationsrnonrnfieldrntest.rnTherncomparisonrnshowedrnanrnencouragingrnrnagreementrninrntherncasernofrnsurfacernfoundationrnforrnpredictionrnofrnnaturalrnfrequency.rnrnFurthermore,rnarnsensitivityrnstudyrnhasrnbeenrnconductedrnonrnreciprocatingrncompressorsrnrnbasedrnonrntherndynamicrnresponsernofrnsurfacernandrnembeddedrnblockrnfoundationsrnforrndifferentrnaspectrnratiornunderrncoupledrnmodernofrnvibrationrnforrndifferentrnembedmentrnratiornrnforrnclay,rngravelrnandrnsand.rnThernresultsrnindicaternthatrnasrnthernembedmentrndepthrnincreases,rnthernresonantrnamplituderndecreasesrnandrnresonantrnfrequencyrnincreases.rnInrnrntherncasernofrntherndampedrnnaturalrnfrequencyrnwhenrnthernaspectrnratiornincreasesrnhorizontalrnandrnangularrnamplitudernincreasernandrndampingrnratiorndecreases.rnOnrnthernotherrnrnhand,rninrntherncasernofrnthernundampedrnnaturalrnfrequencyrnhorizontalrnamplitude,rnangularrnamplitudernandrnfrequencyrnratiorndecrease.
Subsurface Intelligence & Critical Mineral Exploration
Modern Geology projects now focus on Machine Learning in Mineral Targeting, Carbon Capture & Storage (CCS) Geologic Modeling, and Critical Mineral Systems (Lithium, REEs). If your research involves Hydrogeological Connectivity, Seismic Inversion, or Geotechnical Site Characterization, ensure your analysis follows the JORC or NI 43-101 reporting standards and utilizes robust 3D Subsurface Visualization and Geochemical Fingerprinting frameworks.
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