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Experimental and machine learning prediction of compressive strength of chemically activated RHA based RAC using SHAP and PDP analysis. [PDF]

Sci Rep
Al-Naghi AAA, Ali T, Inam I, Qureshi MZ, Mahmood MS, Kahla NB, Ghazouani N.   +6 more
europepmc   +1 more source

Machine Learning-Driven Strength Prediction and Sustainability Analysis of Ultra-High-Performance Concrete. [PDF]

Materials (Basel)
Rong H, Sun W, Ma H, Luo M, You Z, Zhang G, Zhu P, Liu Z, Gómez-Zamorano LY.   +8 more
europepmc   +1 more source

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Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

Construction and Building Materials, 2020
In this paper, an intelligent approach based on the machine learning technique is proposed for predicting the compressive strength of concrete. This approach employs the adaptive boosting algorithm to construct a strong learner by integrating several ...
D. Feng, Zhen-Tao Liu, Xiao-Dan Wang, Yin Chen, Jianbo Chang, Dongmei Wei, Zhong-Ming Jiang   +6 more
semanticscholar   +1 more source

Super learner machine‐learning algorithms for compressive strength prediction of high performance concrete

Structural Concrete, 2022
Because the proportion between the compressive strength of high‐performance concrete (HPC) and its composition is highly nonlinear, more advanced regression methods are demanded to obtain better results.
Seunghye Lee, Ngoc Hung Nguyen, Armagan Karamanli, Jaehong Lee, T. Vo   +4 more
semanticscholar   +1 more source

Predicting Uniaxial Compressive Strength From Log Parameters

Proceedings of SPE Annual Technical Conference and Exhibition, 1986
ABSTRACT Models for prediction of in-situ rock behaviour often suffer from lack of relevant input data, especially rock strength data. Rock mechanical testing of cores provides only discrete data points. This paper presents a method which produces a continuous plot of uniaxial compressive strength.
K. Tokle, P. Horsrud, R. K. Bratli
openaire   +1 more source

Compressive Strength Predictions for Fiber Composites

Journal of Applied Mechanics, 1998
A new micromechanical model of fiber matrix composites has been presented in which the material is represented as a hexagonal array of round elastic fibers in an elastoplastic matrix. Using the compressive responses of such models, it was confirmed that the prebuckling and critical states predicted earlier by two dimensional idealizations of the ...
S.-Y. Hsu, T. J. Vogler, S. Kyriakides
openaire   +1 more source