Results 171 to 180 of about 38,779 (242)
Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley +1 more source
Editorial: Environmental geotechnics — a geotechnical engineer’s view [PDF]
openaire +1 more source
ABSTRACT Integrating interdisciplinary strategies with artificial intelligence (AI), particularly machine learning (ML), is an effective way of addressing urgent engineering challenges. Therefore, a thorough evaluation of existing methodologies is essential, taking into account their respective strengths, limitations and opportunities.
Lina‐María Guayacán‐Carrillo +2 more
wiley +1 more source
ABSTRACT Interparticle cohesive forces play a crucial role in governing the shear behavior of many soils; however, quantifying this effect remains challenging due to limited microscopic insights available from laboratory experiments. In this context, the current study aims to investigate the influence of microscale cohesion on the shear response using ...
Thao Doan +3 more
wiley +1 more source
Abstract A better understanding of the near‐surface aquifer system of the Caxambu Water Park, located in the Minas Gerais State, Brazil, has been achieved. The study aimed to identify groundwater reservoirs and flow patterns and contribute to the hydrogeological conceptual model using a multi‐scale geophysical approach.
Emanuele F. La Terra +5 more
wiley +1 more source
Mesh design for electrical resistivity imaging of agricultural dikes
Abstract Electrical resistivity imaging (ERI) shows promise for investigating earthen flood barriers. We are interested in the applicability of ERI for aiding maintenance and construction efforts on agricultural dikes in the upper Bay of Fundy, Canada.
Peter G. Lelievre +3 more
wiley +1 more source
Seismic imaging of the critical zone of dolerite dykes at Cap Fréhel in Brittany (France)
Abstract In June 2023, we measured ten near‐surface seismic profiles to image the critical zone of dolerite (diabase) dykes that cut the sandstone at Cap Fréhel in Brittany (France). Seismic ray tracing and inversion are used to determine the thickness of the regolith layer from first‐arrival P‐wave traveltimes.
M. Zillmer +4 more
wiley +1 more source
Neural network with signal parameters featuring for near‐surface velocity model building
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
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Investigation of Solution Accuracy in PFEM Simulations Using Benchmark Problems
ABSTRACT The simulation of large topological changes, such as those occurring in Cone Penetration Testing (CPT) and vibratory pile driving, remains a major challenge in computational geomechanics. Excessive mesh distortions render classical approaches like the Finite Element Method (FEM) unsuitable, emphasizing the need for alternative methodologies ...
Antaeus Bettmann +4 more
wiley +1 more source

