Towards designing durable sculptural elements: Ensemble learning in predicting compressive strength of fiber-reinforced nano-silica modified concrete

R Wang, J Zhang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Fiber-reinforced nano-silica concrete (FrRNSC) was applied to a concrete sculpture to
address the issue of brittle fracture, and the primary objective of this study was to explore the …

Prediction of compressive strength of geopolymer concrete landscape design: Application of the novel hybrid RF–GWO–XGBoost algorithm

J Zhang, R Wang, Y Lu, J Huang - Buildings, 2024 - mdpi.com
Landscape geopolymer concrete (GePoCo) with environmentally friendly production
methods not only has a stable structure but can also effectively reduce environmental …

[HTML][HTML] Decision tree models for the estimation of geo-polymer concrete compressive strength

J Zhou, Z Su, S Hosseini, Q Tian, Y Lu… - Mathematical …, 2024 - aimspress.com
The green concretes industry benefits from utilizing gel to replace parts of the cement in
concretes. However, measuring the compressive strength of geo-polymer concretes …

Mechanical framework for geopolymer gels construction: an optimized LSTM technique to predict compressive strength of fly ash-based geopolymer gels concrete

X Shi, S Chen, Q Wang, Y Lu, S Ren, J Huang - Gels, 2024 - mdpi.com
As an environmentally responsible alternative to conventional concrete, geopolymer
concrete recycles previously used resources to prepare the cementitious component of the …

Predicting grout's uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques

S Hosseini, S Entezam, B Jodeiri Shokri… - Neural Computing and …, 2024 - Springer
This study proposes a novel system for accurately predicting grout's uniaxial compressive
strength (UCS) in fully grouted rock bolting systems. To achieve this, a database comprising …