Tag: data-driven optimization
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Data-driven Pressuremeter Modulus Prediction Using RSM for Smarter Geotechnical Design
Introduction: Bridging Classic Theory and Modern Analytics Geotechnical design has long rested on foundational theories of elasticity and soil behavior. Classic texts like Timoshenko and Goodier’s Theory of Elasticity provide essential backdrop for understanding how soils respond to stresses, while foundational field tests such as the pressuremeter test—pioneered by Ménard—offer practical measurements of soil modulus…
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Data-driven optimization and pressuremeter modulus prediction using response surface methodology for smarter geotechnical design
Introduction: The role of the pressuremeter in geotechnical design The pressuremeter test has long been a staple in geotechnical engineering for assessing soil modulus, stiffness, and deformation characteristics. By inflating a probe inside a borehole and measuring pressure, volume, and resultant soil response, engineers gain critical data about how soils behave under stress. Classic works,…