Implementation of hybrid neuro-fuzzy and self-turning predictive model for the prediction of concrete carbonation depth: A soft computing technique

SI Malami, FH Anwar, S Abdulrahman, SI Haruna… - Results in …, 2021 - Elsevier
Carbonation is one of the critical problems that affects the durability of reinforced concrete; it
is a reaction between CO 2 gas and Ca (OH) 2 when H 2 O is available, which forms …

A Review of Concrete Carbonation Depth Evaluation Models

X Wang, Q Yang, X Peng, F Qin - Coatings, 2024 - mdpi.com
Carbonation is one of the critical issues affecting the durability of reinforced concrete.
Evaluating the depth of concrete carbonation is of great significance for ensuring the quality …

Prediction of compressive strength of concrete incorporated with jujube seed as partial replacement of coarse aggregate: a feasibility of Hammerstein–Wiener model …

M Adamu, SI Haruna, SI Malami, MN Ibrahim… - Modeling Earth Systems …, 2021 - Springer
The need for evaluation of compressive strength of a concrete is of utmost importance in civil
and structural engineering as one of the factors that determine quality of concrete. In this …

Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks

P Akpinar, ID Uwanuakwa - Materiales de …, 2020 - materconstrucc.revistas.csic.es
Carbonation is a deleterious concrete durability problem which may alter concrete
microstructure and yield initiation of corrosion in reinforcing steel bars. Previous studies …

[HTML][HTML] A case study for exploring the alkali-aggregate reactivity of Cyprus aggregates

A Zahedi, P Akpinar - Case Studies in Construction Materials, 2022 - Elsevier
Concrete is the most commonly used construction material in Cyprus Island as it is all
around the world. Even though thousands of tons of concrete are manufactured in both …

[HTML][HTML] Mixed-Curve Model for Evaluating the Carbonation Depth of Concrete at Different Ages

X Wang, Q Yang, H Cao, F Qin - Materials, 2024 - pmc.ncbi.nlm.nih.gov
To accurately quantify the variation in concrete carbonation depth, selecting an appropriate
mathematical curve model is crucial. Currently prevalent models, such as the Fick model …

An improved prediction of high-performance concrete compressive strength using ensemble models and neural networks

UJ Muhammad, II Aminu, IA Mahmoud, UU Aliyu… - AI in Civil …, 2024 - Springer
Traditional methods for proportioning of high-performance concrete (HPC) have certain
shortcomings, such as high costs, usage constraints, and nonlinear relationships …

Testing Artificial Intelligence Models for Solar Cook Stove Performance Prediction: Case Study of Agadez, Niger

AM Danjuma, SJ Kawu… - Knowledge …, 2024 - … journals.publicknowledgeproject.org
Solar cook stoves are becoming an increasingly popular and sustainable option for cooking
food, especially in areas where access to traditional cooking fuels is limited or where …

A Non-destructive Method for the determination of Carbonation Time for Nominal Concrete Cover Depth Using Non-Linear En-semble Prediction

SI Malami, P Akpinar - E3S Web of Conferences, 2024 - researchportal.hw.ac.uk
Carbonation, a process involving the reaction of carbon dioxide and moisture, results in the
for-mation of powdery calcium carbonate, a critical durability issue causing reinforcement …

Evaluation of carbonation depth evolution tendencies of reinforced concrete buildings located in coastal and inland areas of north cyprus

QAH Houseen, P Akpınar - IOP Conference Series: Materials …, 2020 - iopscience.iop.org
Carbonation is a critical concrete durability problem that is known to have potential adverse
effects both on the concrete cover and steel reinforcing bars. This study involves detailed …