Developing an advanced ANN-based approach to estimate compaction characteristics of highway subgrade

X Wang, X Dong, J Li, Z Zhang, J Zhang… - Advanced Engineering …, 2023 - Elsevier
The current methodology of assessing the compaction characteristic of subgrade fillers is
time-consuming. The spot-sampling method and the following laboratory tests bring bias to …

Digital geotechnics: from data-driven site characterisation towards digital transformation and intelligence in geotechnical engineering

Y Wang, HM Tian - Georisk: Assessment and Management of Risk …, 2024 - Taylor & Francis
Geotechnical engineering is experiencing a paradigm shift towards digital transformation
and intelligence, driven by Industry 4.0 and emerging digital technologies, such as machine …

Mathematical model for approximating shield tunneling-induced surface settlement via multi-gene genetic programming

ZL Cheng, KKPM Kannangara, LJ Su, WH Zhou - Acta Geotechnica, 2023 - Springer
Obtaining an accurate estimation of surface settlement during tunnel excavation is
challenging due to the many factors that influence settlement. This study developed a …

Data-driven approximation of geotechnical dynamics to an equivalent single-degree-of-freedom vibration system based on dynamic mode decomposition

A Shioi, Y Otake, I Yoshida, S Muramatsu… - … and Management of …, 2023 - Taylor & Francis
The application of data science technologies in geotechnical and earthquake engineering is
a hot topic. This study aimed to identify the macroscopic dynamic properties of the soil from …

[图书][B] Sustainable pipe jacking technology in the urban environment

DEL Ong, M Barla, JWC Cheng, CS Choo, M Sun… - 2022 - Springer
The book “Sustainable Pipe Jacking Technology in the Urban Environment—Recent
Advances and Innovations” connects fundamental theories of the behavior of soils and rocks …

Effect and control of foundation pit excavation on existing tunnels: A state-of-the-art review

W Wu, H Lu, S Chen, D Zhang - Tunnelling and Underground Space …, 2024 - Elsevier
Foundation pit excavation near existing tunnels has become increasingly common in cities.
Excavation-induced unloading can inevitably affect existing tunnels and threaten their …

[PDF][PDF] Prediction of compressive strength of sustainable concrete using machine learning tools

L Choudhary, V Sahu1a, A Dongre2b… - Computers and …, 2024 - researchgate.net
The technique of experimentally determining concrete's compressive strength for a given
mix design is timeconsuming and difficult. The goal of the current work is to propose a best …

[HTML][HTML] Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular …

R Polo-Mendoza, J Duque, D Mašín - Case Studies in Construction …, 2024 - Elsevier
Abstract The California Bearing Ratio (CBR) and modified proctor parameters belong to the
soil geotechnical properties used to assess soil behavior. Direct measurement of these …

A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical …

E Yaghoubi, E Yaghoubi, A Khamees… - Neural Computing and …, 2024 - Springer
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

Predicting unconfined compression strength and split tensile strength of soil-cement via artificial neural networks

L Pereira, L Godinho, FG Branco - Geomechanics and …, 2023 - koreascience.kr
Soil properties make it attractive as a building material due to its mechanical strength,
aesthetically appearance, plasticity, and low cost. However, it is frequently necessary to …