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 …

Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach

EM Golafshani, A Behnood - Construction and building materials, 2021 - Elsevier
The amount of waste materials obtained from industries is increasing every day, which has
been identified as one of the crucial issues in many countries. Waste foundry sand (WFS) is …

Modal testing and evaluation of cracks on cantilever beam using mode shape curvatures and natural frequencies

SSB Chinka, SR Putti, BK Adavi - Structures, 2021 - Elsevier
This paper presented the process of implementing and developing a novel damage
detection approach on beam like-structure using modal parameters. In Theoretical Modal …

Neural networks for predicting shear strength of CFS channels with slotted webs

VV Degtyarev - Journal of Constructional Steel Research, 2021 - Elsevier
Cold-formed steel channels are made with staggered courses of slots for reduced thermal
conductivity and improved energy efficiency of cold-formed steel buildings. The reduced …

Prediction accuracy of Random Forest, XGBoost, LightGBM, and artificial neural network for shear resistance of post-installed anchors

D Suenaga, Y Takase, T Abe, G Orita, S Ando - Structures, 2023 - Elsevier
Post-installed anchors and reinforcing bars are used to connect equipment or to fasten
strengthening members to reinforced concrete (RC) structures. For safety reasons …

Prediction of ultimate load of rectangular CFST columns using interpretable machine learning method

TT Le, HC Phan - Advances in Civil Engineering, 2020 - Wiley Online Library
The ultimate compressive load of concrete‐filled steel tubular (CFST) structural members is
recognized as one of the most important engineering parameters for the design of such …

SHM system for anomaly detection of bolted joints in engineering structures

D Ziaja, P Nazarko - Structures, 2021 - Elsevier
In this article, the elastic wave propagation phenomenon is applied as the basis for a system
designed to detect anomalies in the pre-tensioned connections of engineering structures. A …

PSO-LSSVR: A surrogate modeling approach for probabilistic flutter evaluation of compressor blade

BW Wang, WZ Tang, LK Song, GC Bai - Structures, 2020 - Elsevier
Compressor blade seriously affects the reliability and stability of aircraft engine. Probabilistic
flutter evaluation of compressor blade can effectively quantify failure risk and improve …

[HTML][HTML] Structural health monitoring of exterior beam–column subassemblies through detailed numerical modelling and using various machine learning techniques

G Santarsiero, M Mishra, MK Singh, A Masi - Machine Learning with …, 2021 - Elsevier
Structural health monitoring of beam–column joints is paramount, as they are critical load-
carrying components of reinforced concrete buildings. Evaluating the ultimate joint shear …

Neural network prediction of joint shear strength of exterior beam-column joint

S Alagundi, T Palanisamy - Structures, 2022 - Elsevier
Beam-Column joints are the critical locations in the reinforced concrete structures as they
experience a massive amount of deformations under earthquake. The shear failure of the …