Prediction of the durability of high-performance concrete using an integrated RF-LSSVM model

Y Liu, Y Cao, L Wang, ZS Chen, Y Qin - Construction and Building Materials, 2022 - Elsevier
In extremely cold and complex marine environments, strong concrete chloride ion
penetration resistance is the key to ensuring the durability of buildings (structures). Quickly …

An RF and LSSVM–NSGA-II method for the multi-objective optimization of high-performance concrete durability

H Chen, T Deng, T Du, B Chen, MJ Skibniewski… - Cement and Concrete …, 2022 - Elsevier
The development of cost-effective high-performance concrete (HPC) has long been a focus
of concrete research. Multiple objectives are required for the design of the HPC mix …

Application of gated recurrent unit (GRU) neural network for smart batch production prediction

X Li, X Ma, F Xiao, F Wang, S Zhang - Energies, 2020 - mdpi.com
Production prediction plays an important role in decision making, development planning,
and economic evaluation during the exploration and development period. However …

[HTML][HTML] Applied random forest for parameter sensitivity of low salinity water Injection (LSWI) implementation on carbonate reservoir

F Hidayat, TMS Astsauri - Alexandria Engineering Journal, 2022 - Elsevier
This study applied a Machine Learning Algorithm based on Random Forest Regression for
eliminating the insignificant parameter and evaluating the correlation between each …

Evaluating deterioration of tunnels using computational machine learning algorithms

MO Ahmed, R Khalef, GG Ali… - Journal of construction …, 2021 - ascelibrary.org
Tunnels are an integrated part of the transportation infrastructure. Structural evaluation and
inspection of tunnels are vital tasks to assess the deterioration of tunnels and maintain their …

Intelligent prediction of the frost resistance of high-performance concrete: a machine learning method

J Zhang, Y Cao, L Xia, D Zhang, W Xu… - Journal of Civil …, 2023 - ijspm.vgtu.lt
Frost resistance in very cold areas is an important engineering issue for the durability of
concrete, and the efficient and accurate prediction of the frost resistance of concrete is a …

An improved method for lithology identification based on a hidden Markov model and random forests

P Wang, X Chen, B Wang, J Li, H Dai - Geophysics, 2020 - library.seg.org
Subsurface petrophysical properties usually differ between different reservoirs, which affects
lithology identification, especially for unconventional reservoirs. Thus, the lithology …

Systematic knowledge-based product redesign: An empirical study of solar power system for unmanned transport ship

J Wang, Z Zhang, KY Lin, L Feng - Advanced Engineering Informatics, 2023 - Elsevier
Product redesign is widely required in the process of product innovation, which greatly
depends on a series of innovative theories of product. Traditional product redesign can …

Parameter identification of minifrac numerical tests using a gradient boosting‐based proxy model and genetic algorithm

R Abreu, C Mejia, D Roehl… - International Journal for …, 2024 - Wiley Online Library
In recent years, the petroleum industry has devoted considerable attention to studying fluid
flow inside fracture channels due to the discovery of naturally fractured reservoirs. The …

[HTML][HTML] Data-driven model falsification and uncertainty quantification for fractured reservoirs

J Fang, B Gong, J Caers - Engineering, 2022 - Elsevier
Many properties of natural fractures are uncertain, such as their spatial distribution,
petrophysical properties, and fluid flow performance. Bayesian theorem provides a …