Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend

R Kazemi - Engineering Reports, 2023 - Wiley Online Library
Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …

Mechanical properties and multi-layer perceptron neural networks of polyacrylonitrile fiber reinforced concrete cured outdoors

M Duan, Y Qin, Y Li, Y Wei, K Geng, H Zhou, R Liu - Structures, 2023 - Elsevier
The application range of polyacrylonitrile fiber (PANF) in concrete engineering in alpine
regions was clarified by performing six sets of mechanical tests of PANF-reinforced concrete …

Prediction and analysis of the severity and number of suburban accidents using logit model, factor analysis and machine learning: a case study in a developing …

M Ghasedi, M Sarfjoo, I Bargegol - SN Applied Sciences, 2021 - Springer
The purpose of this study is to investigate and determine the factors affecting vehicle and
pedestrian accidents taking place in the busiest suburban highway of Guilan Province …

Statistical analysis and accident prediction models leading to pedestrian injuries and deaths on rural roads in Iran

N Kamboozia, M Ameri… - International journal of …, 2020 - Taylor & Francis
The purpose of this study was to develop models to predict the severity of pedestrian
accidents on rural roads of Guilan, Iran. Therefore, the probability of occurrence of any type …

Artificial intelligence techniques for pavement performance prediction: a systematic review

J Kang, P Tavassoti, MNAR Chaudhry… - Road Materials and …, 2024 - Taylor & Francis
Pavement performance prediction is a major part of a pavement management system that
directly impacts the effectiveness of maintenance and rehabilitation decisions. The …

Performance evaluation of stone matrix asphalt mixtures and low-temperature properties of asphalt binders containing reclaimed asphalt pavement materials modified …

SA Saed, N Kamboozia… - Journal of Materials in Civil …, 2022 - ascelibrary.org
Due to several types of deterioration, such as rutting, fatigue cracking, and thermal cracking,
that occur in the structure of pavements, researchers have developed solutions, including …

Predicting the recovery and nonrecoverable compliance behaviour of asphalt binders using artificial neural networks

A Hamid, H Baaj, M El-Hakim - Processes, 2022 - mdpi.com
Additives are widely used to enhance the rheological and performance properties of asphalt
binder to satisfy the demands of extreme loading and climatic conditions. Meanwhile, adding …

Influence of roller-related factors on compaction meter value and its prediction utilizing artificial neural network

L Cao, J Zhou, T Li, F Chen, Z Dong - Construction and Building Materials, 2021 - Elsevier
With the continual innovation of modern technology, the construction of transportation
infrastructure is developing toward intelligentization, integration, and automatization. In such …

[HTML][HTML] Predicting abrasion resistance of concrete containing plastic waste, fly ash, and graphene nanoplatelets using an artificial neural network and response …

M Adamu, KU Rehman, YE Ibrahim, W Shatanawi - AIP Advances, 2023 - pubs.aip.org
The influence of plastic waste (PW) and fly ash as partial substitutes to coarse aggregate
and cement, respectively, and Graphene NanoPlatelets (GNPs) as additive to cement mass …

Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track

Y Wang, J Yan, W Huang, L Rutkowski… - Science China Information …, 2023 - Springer
Rutting deformation is typical damage to asphalt pavement and can be quantitatively
described as the time-varying mechanical deformation feature of the asphalt mixture during …