Results 271 to 280 of about 50,173 (290)

Physical Modelling of Laterally Spreading Soil with and without Plant Root Analogues [PDF]

, 2019
Bengough, Glyn, Brennan, Andrew, Knappett, Jonathan, Robinson, Scott, Wang, Ke   +4 more
core   +1 more source

INVESTIGATING FLY ASH-BOTTOM ASH-SOIL COMPOSITE AS SUSTAINABLE LINERS FOR URBAN LANDFILLS: GEOTECHNICAL AND ADSORPTION ASSESSMENT

Kartika Sari, Ifayanti Ridwan, Asiyanthi Tabran Lando, Sitti Hijraini Nur, Mehdi Zariati   +4 more
openalex   +2 more sources

Methodology for generating diverse geotechnical datasets using Monte Carlo simulation and genetic algorithms

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5494-5511, 9 December 2025.
Abstract The reliability of machine learning heavily depends on training data; however, in the field of geotechnical engineering, it is challenging to obtain diverse datasets due to economic and accessibility limitations. The aim of this study is to propose a method for generating data for use in the training phase of machine learning by combining ...
Junghee Park, Hyung‐Koo Yoon
wiley   +1 more source

Optimizing the fracture resistance of clay liners through fiber content and moisture control. [PDF]

Sci Rep
Zaid M, Rizvi Z, Basu D, Wuttke F.
europepmc   +1 more source

Integrating triple attention convolutional network with multi‐objective optimization for excavation‐induced deformation prediction

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 29, Page 5534-5553, 9 December 2025.
Abstract Accurate and rapid prediction of deep excavation deformation is crucial for construction safety and environmental protection. Traditional finite element analysis is time‐consuming, while single‐objective optimization (SOO) tends to cause parameter compensation effects.
Ping He, Honggui Di, Zhiyao Tian, Zhanlin Cao, Shunhua Zhou   +4 more
wiley   +1 more source

Deep learning framework for mapping nitrate pollution in coastal aquifers under land use pressure. [PDF]

Sci Rep
Chahid M, El-Messari JES, Hilal I, Abdi N, Ali T, Chakrabortty R, Faqeih KY, Alamri SM, Alamery ER, Tariq A, Aqnouy M.   +10 more
europepmc   +1 more source

Behaviour study of monitored soft subsoil under embankment loads [PDF]

, 2013
Abdelah, Saihia, Abdelghani, Brikat, Aissi, Adel, Bensihamedi, Salim   +3 more
core  

Fly ash characterization with reference to geotechnical applications [PDF]

, 2004
N. S. Pandian
openalex  

Nature‐Based Profiling of Subsurface Soil Stiffness Driven by Tidal Forces

Geophysical Research Letters, Volume 52, Issue 21, 16 November 2025.
Abstract Accurate characterization of deformation modulus of soils is essential for seismic hazard assessments and resilient geotechnical infrastructure design. Conventional techniques often yield discontinuous or biased modulus estimates due to sample disturbance and limited spatial coverage.
Ke Fang, Dao‐Yuan Tan, Cheng‐Cheng Zhang, Song‐Ge Shi, Hong‐Wei Sang, Bin Shi   +5 more
wiley   +1 more source

Nonlinear behavior and energy harvesting performance of a new tunable quasi-zero stiffness system. [PDF]

Sci Rep
Wang X, Kang X, Zhang A.
europepmc   +1 more source