Prediction of compressive strength of rice husk ash concrete through different machine learning processes

A Iqtidar, N Bahadur Khan, S Kashif-ur-Rehman… - Crystals, 2021 - mdpi.com
Cement is among the major contributors to the global carbon dioxide emissions. Thus,
sustainable alternatives to the conventional cement are essential for producing greener …

Comparison of machine learning approaches with traditional methods for predicting the compressive strength of rice husk ash concrete

MN Amin, A Iqtidar, K Khan, MF Javed, FI Shalabi… - Crystals, 2021 - mdpi.com
Efforts are being devoted to reducing the harmful effect of the construction industry around
the globe, including the use of rice husk ash as a partial replacement of cement. However …

A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete

A Bassi, A Manchanda, R Singh, M Patel - Natural Hazards, 2023 - Springer
The cementitious behavior of Rice Husk Ash (RHA) has caused its possible addition as a
replacement material for cement which has been proven to influence the strength of …

Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches

N Ganasen, L Krishnaraj, KC Onyelowe… - Scientific Reports, 2023 - nature.com
In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …

Compressive strength prediction of rice husk ash concrete using a hybrid artificial neural network model

C Li, X Mei, D Dias, Z Cui, J Zhou - Materials, 2023 - mdpi.com
The combination of rice husk ash and common concrete both reduces carbon dioxide
emission and solves the problem of agricultural waste disposal. However, the measurement …

Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison

B Iftikhar, SC Alih, M Vafaei, MA Elkotb… - Journal of Cleaner …, 2022 - Elsevier
One of the largest sources of greenhouse gas (GHG) emissions is the construction concrete
industry which has alone 50% of the world's emissions. One possible remedy to mitigate the …

[HTML][HTML] Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models

M Alyami, M Khan, AWA Hammad… - Case Studies in …, 2024 - Elsevier
The construction sector is a major contributor to global greenhouse gas emissions. Using
recycled and waste materials in concrete is a practical solution to address environmental …

Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms

MN Amin, B Iftikhar, K Khan, MF Javed, AM AbuArab… - Structures, 2023 - Elsevier
The use of rice husk ash (RHA) in concrete serves a positive role. The compressive strength
of RHA in concrete is predicted using supervised machine learning approaches such as …

Sustainable of rice husk ash concrete compressive strength prediction utilizing artificial intelligence techniques

S Paul, P Das, A Kashem, N Islam - Asian Journal of Civil Engineering, 2024 - Springer
The rice husk ash (RHA) concrete minimizes greenhouse gas emissions while also solving
the issue of agricultural waste disposal. Though, the compressive strength prediction of rice …

Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete

P Hamidian, P Alidoust, EM Golafshani… - Journal of Building …, 2022 - Elsevier
The construction industry is facing challenges from the hazardous nature of Ordinary
Portland Cement (OPC) production as one of the main contributors to global warming and …