Predicting the compressive strength of the cement-fly ash–slag ternary concrete using the firefly algorithm (fa) and random forest (rf) hybrid machine-learning method

J Huang, MMS Sabri, DV Ulrikh, M Ahmad… - Materials, 2022 - mdpi.com
Concrete is the most widely used material in construction. It has the characteristics of strong
plasticity, good economy, high safety, and good durability. As a kind of structural material …

Prediction of the compressive strength for cement-based materials with metakaolin based on the hybrid machine learning method

J Huang, M Zhou, H Yuan, MMS Sabri, X Li - Materials, 2022 - mdpi.com
Cement-based materials are widely used in construction engineering because of their
excellent properties. With the continuous improvement of the functional requirements of …

A novel neural computing model applied to estimate the dynamic modulus (dm) of asphalt mixtures by the improved beetle antennae search

J Huang, M Zhou, MMS Sabri, H Yuan - Sustainability, 2022 - mdpi.com
To accurately estimate the dynamic properties of the asphalt mixtures to be used in the
Mechanistic-Empirical Pavement Design Guide (MEPDG), a novel neural computing model …

Intelligent design of building materials: Development of an ai-based method for cement-slag concrete design

F Zhu, X Wu, M Zhou, MMS Sabri, J Huang - Materials, 2022 - mdpi.com
Cement-slag concrete has become one of the most widely used building materials
considering its economical advantage and satisfying uniaxial compressive strength (UCS) …

Towards sustainable construction materials: A comparative study of prediction models for green concrete with metakaolin

J Huang, M Zhou, H Yuan, MMS Sabri, X Li - Buildings, 2022 - mdpi.com
Cement-based materials are widely used in transportation, construction, national defense,
and other fields, due to their excellent properties. High performance, low energy …

Intelligent design of construction materials: A comparative study of AI approaches for predicting the strength of concrete with blast furnace slag

X Wu, F Zhu, M Zhou, MMS Sabri, J Huang - Materials, 2022 - mdpi.com
Concrete production by replacing cement with green materials has been conducted in
recent years considering the strategy of sustainable development. This study researched the …

Data interpretation and forecasting of SHM heteroscedastic measurements under typhoon conditions enabled by an enhanced Hierarchical sparse Bayesian Learning …

QA Wang, Q Liu, ZG Ma, JF Wang, YQ Ni, WX Ren… - Measurement, 2024 - Elsevier
Abstract Rapid advances in Structural Health Monitoring (SHM) have led to a new era of Big
Data in the past decade. However, collected data may include a huge amount of …

Concise Historic Overview of Rail Corrugation Studies: From Formation Mechanisms to Detection Methods

QA Wang, XY Huang, JF Wang, YQ Ni, SC Ran, JP Li… - Buildings, 2024 - mdpi.com
Rail corrugation is a serious problem in a railway transportation system, aggravating the
operational risk and shortening the lifetime of train–track system. In order to ensure the …

A comparative study of AI-based international roughness index (IRI) prediction models for jointed plain concrete pavement (JPCP)

Q Wang, M Zhou, MMS Sabri, J Huang - Materials, 2022 - mdpi.com
The international roughness index (IRI) can be employed to evaluate the smoothness of
pavement. The previously proposed mechanical-empirical pavement design guide …

Compressive strength of waste-derived cementitious composites using machine learning

Q Tian, Y Lu, J Zhou, S Song, L Yang… - Reviews on Advanced …, 2024 - degruyter.com
Marble cement (MC) is a new binding material for concrete, and the strength assessment of
the resulting materials is the subject of this investigation. MC was tested in combination with …