State-of-the-art AI-based computational analysis in civil engineering

C Wang, L Song, Z Yuan, J Fan - Journal of Industrial Information …, 2023 - Elsevier
With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …

Data mining techniques and applications–A decade review from 2000 to 2011

SH Liao, PH Chu, PY Hsiao - Expert systems with applications, 2012 - Elsevier
In order to determine how data mining techniques (DMT) and their applications have
developed, during the past decade, this paper reviews data mining techniques and their …

Modelling uniaxial compressive strength of lightweight self-compacting concrete using random forest regression

J Zhang, G Ma, Y Huang, F Aslani, B Nener - Construction and Building …, 2019 - Elsevier
Self-compacting concrete (SCC) can achieve compaction into every part of the formwork
through its own weight without any segregation of the coarse aggregate. Lightweight …

Efficient machine learning method for evaluating compressive strength of cement stabilized soft soil

C Zhang, Z Zhu, F Liu, Y Yang, Y Wan, W Huo… - … and Building Materials, 2023 - Elsevier
To meet the design strength of cement stabilized soft soil (cement soil) in different
application environments, numerous field and indoor geotechnical tests are often …

35 Years of (AI) in geotechnical engineering: state of the art

AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns

A Cascardi, F Micelli, MA Aiello - Engineering Structures, 2017 - Elsevier
Abstract Nowadays, Fiber Reinforced Polymers are extensively applied in the field of civil
engineering due to their advantageous proprieties such as high strength-to-weight ratio and …

Optimized neural network using beetle antennae search for predicting the unconfined compressive strength of jet grouting coalcretes

Y Sun, J Zhang, G Li, Y Wang, J Sun… - International Journal for …, 2019 - Wiley Online Library
This investigation studied the coalcrete, a new supporting material produced by jet grouting
(JG) for supporting surrounding coal seams. For support design, the unconfined …

Study on the mechanical properties of polyurethane (PU) grouting material of different geometric sizes under uniaxial compression

M Li, M Du, F Wang, B Xue, C Zhang, H Fang - Construction and Building …, 2020 - Elsevier
Polyurethane (PU) is increasingly adopted as grouting materials in the non-excavation
rehabilitation of infrastructures. The compressive strength of PU materials is the key to …

Prediction of the strength of rubberized concrete by an evolved random forest model

Y Sun, G Li, J Zhang, D Qian - Advances in Civil Engineering, 2019 - Wiley Online Library
Rubberized concrete (RC) has attracted more attention these years as it is an economical
and environmental‐friendly construction material. Normally, the uniaxial compressive …

Insights into TripAdvisor's online reviews: The case of Tehran's hotels

R Khorsand, M Rafiee, V Kayvanfar - Tourism Management Perspectives, 2020 - Elsevier
User-generated data in TripAdvisor. com consists of considerable amount of useful
information that can help managers to provide better services to their customers. This study …