[HTML][HTML] Using artificial intelligence methods to predict the compressive strength of concrete containing sugarcane bagasse ash

G Pazouki, Z Tao, N Saeed, WH Kang - Construction and Building Materials, 2023 - Elsevier
Sugarcane bagasse ash is an agricultural and industrial waste material produced in millions
of tonnes annually. While traditionally used as a fertilizer or buried underground …

High strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm

MM Jibril, SI Malami, UJ Muhammad, A Bashir… - Asian Journal of Civil …, 2023 - Springer
The most crucial mechanical property of concrete is compression strength (CS). Insufficient
compressive strength can therefore result in severe failure, which can be beyond repair …

Evaluating machine learning algorithms for predicting compressive strength of concrete with mineral admixture using long short-term memory (LSTM) Technique

A Gogineni, MKD Rout, K Shubham - Asian Journal of Civil Engineering, 2024 - Springer
The prediction of compressive strength in concrete holds essential significance within the
construction industry, maintaining the structural reliability of important infrastructure like …

Predicting the compressive strength of self-compacting concrete by developed African vulture optimization algorithm-Elman neural networks

S Guo, H Kou, Y Bi, M Mamlooki - Scientific Reports, 2024 - nature.com
The compressive strength of concrete depends on various factors. Since these parameters
can be in a relatively wide range, it is difficult for predicting the behavior of concrete …

[HTML][HTML] Comprehensive framework for Integrated Construction Platforms (ICP) implementation and its effect on project success

F Althoey, M Houda, A Waqar, S Nisar - Ain Shams Engineering Journal, 2024 - Elsevier
The construction sector is one of the key factors in the economic development of a country
hence there is still a need to find the most effective ways to improve performance of …

Advances in the Integration of Artificial Intelligence and Ultrasonic Techniques for Monitoring Concrete Structures: A Comprehensive Review

G Angiulli, P Burrascano, M Ricci… - Journal of Composites …, 2024 - mdpi.com
This review examines the integration of advanced ultrasonic techniques and artificial
intelligence (AI) for monitoring and analyzing concrete structures, focusing on detecting and …

A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material

A Bashir, MM Jibril, UM Jibrin, SI Abba… - Journal of Building …, 2025 - Springer
It is important to point out that the precise prediction of water binder ratio “w/b ratio” or “W_C”
is indispensable for gaining the desirable characteristics of strength and duration of concrete …

[HTML][HTML] Redefining structural soundness in concrete constructions: A groundbreaking technique for water–cement ratio assessment in sustainable building integrated …

MM Jibril, UJ Muhammad, M Adamu, YE Ibrahim… - AIP Advances, 2024 - pubs.aip.org
Predicting concrete's compressive strength (CS) is a crucial and challenging task in civil
engineering as it directly impacts the longevity and structural integrity of infrastructure …

Prediction of fresh and hardened concrete properties using machine learning algorithms

PV Chechani, SB Kumar, S Chakraborty… - Innovative Infrastructure …, 2024 - Springer
Concrete stands as the paramount construction material today, renowned for its exceptional
moldability, strength, and durability. Its composition primarily involves cement, water, fine …

High-Performance Computing and Big Data: Emerging Trends in Advanced Computing Systems for Data-Intensive Applications

S Gathu - Journal of Advanced Computing Systems, 2024 - scipublication.com
The integration of High-Performance Computing (HPC) and Big Data has brought about
significant advancements in the field of advanced computing systems, revolutionizing how …