ML-powered prediction of concrete compressive strength and carbon emissions using optimized CatBoost models. Helps engineers and manufacturers make data-driven, eco-conscious material choices.
Predicting the Concrete Compressive Strength Using ML Models
ANN-based prediction of 28-day compressive strength of generic and geopolymer concrete using NADAM backpropagation
LaTeX source for the article 'Evaluation of Different Binder Combinations of Cement, Slag and CKD for S/S Treatment of TBT Contaminated Sediments' (Lindh & Lemenkova, Acta Mechanica et Automatica 2021, 15(4):236-248). Solidification/stabilisation of dredged sediments, UCS strength evaluation.
LaTeX source for the article 'Effects of Water–Binder Ratio on Strength and Seismic Behavior of Stabilized Soil from Kongshavn, Port of Oslo' (Lindh & Lemenkova, Sustainability 2023, 15(15):12016).
LaTeX source for the article 'Permeability, compressive strength and Proctor parameters of silts stabilised by Portland cement and ground granulated blast furnace slag (GGBFS)' (Lindh & Lemenkova, Archive of Mechanical Engineering 2022, 69(4):667-692).
Optimization of SCC with Recycled Coarse Aggregate and Quarry Dust as Partial Replacement Using Machine Learning Techniques (Hybrid Models)
LaTeX source for the article 'Seismic velocity of P-waves to evaluate strength of stabilized soil for Svenska Cellulosa Aktiebolaget Biorefinery Östrand AB, Timrå' (Lindh & Lemenkova, Bulletin of the Polish Academy of Sciences: Technical Sciences 2022, 70(4):e141593).
LaTeX source for the article 'Geotechnical Properties of Soil Stabilized with Blended Binders for Sustainable Road Base Applications' (Lindh & Lemenkova, Construction Materials 2023, 3(1):110-126). Simplex-lattice mixture design and P-wave/UCS strength evaluation of clayey soil stabilised with blended binders.
LaTeX source for the article 'Shear Bond and Compressive Strength of Clay Stabilised with Lime/Cement Jet Grouting and Deep Mixing: A Case of Norvik, Nynäshamn' (Lindh & Lemenkova, Nonlinear Engineering 2022, 11(1):693-710). Binder-recipe evaluation by shear bond, UCS and P-wave velocity.
Machine learning model for predicting compressive strength of fiber-reinforced concrete with waste rubber.
混凝土抗压强度智能预测：最小二乘线性回归与手写 ANN 对比 (R²=0.9654)
Experimental study on sustainable concrete using foundry sand as partial replacement of fine aggregate
LaTeX source for the article 'Utilising Pareto Efficiency and RSM to Adjust Binder Content in Clay Stabilisation for Yttre Ringvägen, Malmö' (Lindh & Lemenkova, Acta Polytechnica 2023, 63(2):140-157). Response surface methodology and Pareto optimisation of binder content for soil strength (UCS).
LaTeX source for the article 'Dynamics of Strength Gain in Sandy Soil Stabilised with Mixed Binders Evaluated by Elastic P-Waves during Compressive Loading' (Lindh & Lemenkova, Materials 2022, 15(21):7798). Non-destructive P-wave monitoring of UCS strength gain over 90-day curing.
LaTeX source for the article 'Seismic Monitoring of Strength in Stabilized Foundations by P-Wave Reflection and Downhole Geophysical Logging for Drill Borehole Core' (Lindh & Lemenkova, Journal of the Mechanical Behavior of Materials 2023, 32(1):20220290). Crosshole P-wave and borehole logging for geotechnical site characterisation.
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