Results 141 to 150 of about 2,636 (243)
Global 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
Impact of extreme wildfires on the geotechnical properties of volcanic soils: A specific dataset from Central-Southern Chile. [PDF]
Data BriefParedes-Delgado EJ +6 more
europepmc +1 more source
Loess Studies in Aotearoa New Zealand
New 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
Author Correction: ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength. [PDF]
Sci RepJalal FE +5 more
europepmc +1 more source
Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
International 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
International 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
Minimum and Maximum Void Ratios of Sand-Rubber and Crushed Concrete-Rubber Mixtures. [PDF]
Materials (Basel)Kowalska M +4 more
europepmc +1 more source
International 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
Spatial soil temperature measurement data around an underground power cable under controlled thermal loading. [PDF]
Data BriefAhmad S, Rizvi ZH, Wuttke F.
europepmc +1 more source