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Statistics of Model Factors and Consideration in Reliability-Based Design of Axially Loaded Helical Piles
Publisher: American Society of Civil Engineers
Abstract: Geotechnical design codes have been migrating toward reliability-based design (RBD) concepts. ISO 2394 identified the characterization of model uncertainty as one of the critical elements in the geotechnical RBD process. ...
Prediction of Bearing Capacity of Ring Foundation on Dense Sand with Regard to Stress Level Effect
Publisher: American Society of Civil Engineers
Abstract: This paper uses finite-element formulation of the lower bound theorem to determine the bearing capacity of ring foundations on dense sand. The results are validated with the plasticity solutions, numerical analyses, ...
Database Calibration of Design Methods and LRFD Resistance Factors for Auger Cast-in-Place and Drilled Displacement Piles
Publisher: American Society of Civil Engineers
Abstract: AbstractAuger cast-in-place (ACIP) and drilled displacement (DD) piles are routinely considered
as an alternative to drilled shafts or driven piles. However, their acceptance to
support bridges has been lagging. The load ...
Variability in Geostructural Performance Predictions
Publisher: American Society of Civil Engineers
Abstract: AbstractPrediction is one of the core activities in geotechnical engineering. Because of our
limited knowledge of ground conditions and the imperfection of predictive models,
the resulting predictions would deviate from ...
Application of Press-Replace Method to Simulate Undrained Cone Penetration
Publisher: American Society of Civil Engineers
Abstract: A simplified numerical procedure to model a deep-penetration process, press-replace method (PRM), was used to simulate a cone penetration test (CPT) in undrained conditions with finite-element software. A detailed description ...
Pre-Bored PC Pile Capacity Prediction in Drained Soils Using Artificial Neural Network
Publisher: American Society of Civil Engineers
Abstract: AbstractThis study evaluated the performance of artificial neural network (ANN) in determining
pre-bored precast concrete (PC) pile capacities, utilizing a database of 39 drained
pile load tests under axial compression. ...
Special Section: Nonprobabilistic and Hybrid Approaches for Uncertainty Quantification and Reliability Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: With this special section issue, we hope to illustrate in which direction the research of nonprobabilistic research is moving. From the included papers, it is clear that nonprobabilistic and hybrid methods are highly ...
Database Assessment of Calculation Model Uncertainties for Axial Resistance and Displacement of Driven Cast-in-Situ Piles
Publisher: American Society of Civil Engineers
Abstract: AbstractDriven cast-in-situ (DCIS) piles (e.g., Franki, Simplex, and Vibro) are classified
as displacement piles and their interaction with the surrounding soil is often analyzed
using the methods originally developed ...
Uncertainties in Modeling Undrained Shear Strength of Sensitive Clays Using Finite-Element Method
Publisher: American Society of Civil Engineers
Abstract: The present paper deals with uncertainties related to modeling undrained shear strength of soft sensitive clays using finite-element effective stress–based soil models. Two effective stress soil models, the isotropic Soft ...
Special Section on Resilience of Engineering Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Our modern life has grown to depend on many and nearly ubiquitous large complex engineering systems, such as tunnels, gas/oil pipelines, geotechnical infrastructures, etc. All of these are the backbones of our modern ...
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