Results 131 to 140 of about 503 (252)

Embodied Intelligence for Soil Health toward Sustainable Smart Agriculture: Sensing the Soil with Flexible Geotextiles Sensors

open access: yesGlobal Challenges, Volume 10, Issue 6, June 2026.
This review examines the transition from rigid to flexible soil sensing technologies in the context of soil as a dynamic and heterogeneous environment. By integrating sensor types, sensing modalities, materials, fabrication and deployment strategies, and IoT‐enabled energy and communication approaches, it highlights geotextiles as scalable sensing ...
Ayse Feyza Yilmaz   +7 more
wiley   +1 more source

Loess Studies in Aotearoa New Zealand

open access: yesNew Zealand Journal of Geology and Geophysics, Volume 69, Issue 2, June 2026.
Loess in Aotearoa New Zealand (ANZ) has been studied since its first documented recognition (on Banks Peninsula) in 1878 by Julius von Haast. A decade later, John Hardcastle revealed that southern ANZ loess was both glacial in origin and contained signals of past climates.
Brent V. Alloway   +4 more
wiley   +1 more source

Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 8, Page 3331-3354, 10 June 2026.
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

Lessons Learned From Using Simple Supervised Learning Tools on Small‐Ensemble Data—Applicability to Tunnel Design and Monitoring

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 8, Page 3397-3411, 10 June 2026.
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

Numerical Investigation of the Influence of Interparticle Cohesion During the Shear Behavior of Granular Soil

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 9, Page 4020-4035, 25 June 2026.
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

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