Prediction model for compressive strength of rice husk ash blended sandcrete blocks using a machine learning models

N Sathiparan - Asian Journal of Civil Engineering, 2024 - Springer
Sandcrete blocks are popular for construction but their production relies on cement, which is
a major contributor to greenhouse gases. Rice husk ash (RHA), a waste product, can …

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 …

[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 …

[PDF][PDF] Comparison of machine learning approaches with traditional methods for predicting the compressive strength of rice husk ash concrete. Crystals 2021 (11), 779

MN Amin, A Iqtidar, K Khan, MF Javed, FI Shalabi… - 2021 - academia.edu
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 …

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 …

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 …

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 …

[HTML][HTML] Prediction of compressive strength of rice husk ash concrete: A comparison of different metaheuristic algorithms for optimizing support vector regression

Y Huang, Y Lei, X Luo, C Fu - Case Studies in Construction Materials, 2023 - Elsevier
Concrete made from rice husk ash (RHA) is stronger and more durable than normal
concrete. It can also help reduce greenhouse gas emissions. A feasible prediction model to …

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 …

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 …