Advanced Soil Constitutive Models for Predicting Soil-Pile-Superstructure Interaction: Evaluating Liquefiable Soil Behavior Under Monotonic, Cyclic, and Seismic Loading | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Advanced Soil Constitutive Models for Predicting Soil-Pile-Superstructure Interaction: Evaluating Liquefiable Soil Behavior Under Monotonic, Cyclic, and Seismic Loading Mehdi Joneidi, Gertraud Medicus, Roshanak Shafieiganjeh, Iman Bathaeian, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6545044/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The predictive capability of advanced soil constitutive models under undrained cyclic loading conditions is critical to their practical application, for example, in the field of soil-structure interaction. The hypoplastic framework is one possibility for predicting cyclic responses; however, most hypoplastic models have limitations due to their inability to predict observed trends in strain evolution and excess pore water pressure buildup, which can lead to liquefaction. In this paper we use an improved version of hypoplasticity for undrained monotonic loading (Liao et al., 2024) and combine it with the intergranular strain concept. The new combination with the small-strain extension improves some limitations of the hypoplastic reference model (von Wolffersdorff, 1996) with intergranular strain for undrained cyclic loading. The results of the hypoplastic models are compared to the SANISAND model under different loading scenarios. The validation of the models was done by single-element simulations of experimental monotonic and cyclic triaxial tests. In addition, a 3D finite element model of a soil-pile-superstructure interaction was implemented in ABAQUS and compared with centrifuge test results (Wilson, 1998). SANISAND is effective in predicting the superstructure response; however, it overestimates pore water pressure accumulation. The modified hypoplastic model improves the simulated responses of the soil-pile-superstructure system in terms of pore water pressure and acceleration, compared to the hypoplastic reference model and SANISAND. Our study shows that reliable monotonic models are essential, as it is the basis for reliable cyclic predictions. Civil Engineering hypoplasticity Sanisand cyclic loading stress path liquefaction Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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