Results 151 to 160 of about 18,747 (246)

Anisotropic Initial Damage and Its Effect on Tensile Response of Plain Concrete

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 12, Page 4823-4845, 25 August 2026.
ABSTRACT Damage is often described as isotropic, implying that a scalar value describes its initial state. However, the prior micro‐cracking pattern at points of an existing building, that is, the initial damage, may be oriented by a preload. The degradation of the Volume Element due to oriented preloads shall be described as anisotropic and ...
A. Fau, A. A. Basmaji, U. Nackenhorst, R. Desmorat   +3 more
wiley   +1 more source

Correction: Enhanced characterization of hydraulic conductivity via standard penetration test for sandy soils and weathered rocks. [PDF]

Sci Rep
Seo W, Yang E, Yun TS.
europepmc   +1 more source

Modeling Biocemented Sands: Hypoplastic Model for MICP‐Based Ground Improvement

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 12, Page 4893-4912, 25 August 2026.
ABSTRACT Bio‐cementation offers a sustainable and low‐carbon alternative to conventional ground improvement methods, aligning with the growing demand for green geotechnical solutions. To enable reliable numerical simulation of bio‐cemented soil behavior in engineering applications, advanced constitutive models are required to account for the effects of
Merita Tafili, Hossam Abdellatif, Nazanin Irani, Torsten Wichtmann   +3 more
wiley   +1 more source

Probabilistic Aseismic Performance Assessment of Rubber-Sand-Concrete Tunnel Linings Considering Spatial Variability of Rock Mass. [PDF]

Materials (Basel)
Li K, Mei X, Li B, Sheng H, Cui Z, Wang Y, Wu H, Wang T.   +7 more
europepmc   +1 more source

Implications of heterogeneous embankment conditions for geoelectrical investigations on dams: A case study at Mactaquac Dam, Canada

Near Surface Geophysics, Volume 24, Issue 4, Page 303-324, August 2026.
Abstract Electrical resistivity tomography (ERT) has been shown to be effective for surveying and monitoring dams, due to the method's sensitivity to moisture content and relevant physical properties (e.g., porosity). Automated ERT systems, capable of time‐lapse monitoring, can be used to detect variations in ground conditions.
John S. Ball, Karl E. Butler, Jonathan E. Chambers, Paul B. Wilkinson, Andrew Binley   +4 more
wiley   +1 more source

Advanced Experimental Technology, Theory and Numerical Methods in Geomaterials and Concrete Materials. [PDF]

Materials (Basel)
Sun W, Li Y, Liu R, Yu S.
europepmc   +1 more source

3D effects of seawater on electrical resistivity tomography near shorelines—Challenges and possible solutions inferred from synthetic and field data

Near Surface Geophysics, Volume 24, Issue 4, Page 364-391, August 2026.
Abstract Electrical resistivity tomography (ERT) is one of the most widely used geophysical techniques for hydrogeological questions, such as investigating the groundwater transition zone between land and sea. The interpretation of 2D coast‐parallel ERT profiles is challenging because most of the electrical current flows through the highly conductive ...
Simon Levin Fischer, Ercan Erkul, Jasper Justus Lutz Hoffmann, Şerif Barış, Ertan Pekşen, İsmail Kaplanvural, Wolfgang Rabbel   +6 more
wiley   +1 more source

Comparison of GRNN-MC and RF models for predicting soil hydrogeological and geotechnical profile using borehole data. [PDF]

Sci Rep
Darzi AG, Sadeghi H, Moezzi SMM.
europepmc   +1 more source

Geotechnical Engineering [PDF]

, 2017
openaire   +1 more source

Modeling Transient Flow in Heterogeneous Aquifers With the Mixed Pressure‐Velocity Formulation of Physics Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha, Marwan Fahs, Hussein Hoteit, Thomas Nagel, François Lehmann   +4 more
wiley   +1 more source