Ethics of artificial intelligence and robotics in the architecture, engineering, and construction industry

CJ Liang, TH Le, Y Ham, BRK Mantha… - Automation in …, 2024 - Elsevier
Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

Multi-objective optimization control for tunnel boring machine performance improvement under uncertainty

W Liu, A Li, C Liu - Automation in Construction, 2022 - Elsevier
The tunnel boring machine (TBM) is an important and common construction method for
urban subways, and it requires a detailed and rational control strategy to ensure the safety …

Machine learning applications to predict the axial compression capacity of concrete filled steel tubular columns: a systematic review

A Narang, R Kumar, A Dhiman - Multidiscipline Modeling in Materials …, 2023 - emerald.com
Purpose This study seeks to understand the connection of methodology by finding relevant
papers and their full review using the “Preferred Reporting Items for Systematic Reviews and …

Prediction of gas explosion pressures: A machine learning algorithm based on KPCA and an optimized LSSVM

K Zhang, K Zhang, R Bao - Journal of Loss Prevention in the Process …, 2023 - Elsevier
A gas explosion, as a common accident in public life and industry, poses a great threat to the
safety of life and property. The determination and prediction of gas explosion pressures are …

Prediction of interface bond strength between ultra-high-performance concrete (UHPC) and normal strength concrete (NSC) using a machine learning approach

AIB Farouk, Z Jinsong - Arabian Journal for Science and Engineering, 2022 - Springer
Ultra-high-performance concrete (UHPC) is suitable for repairing and strengthening
damaged normal strength concrete (NSC) structures due to its excellent qualities. However …

Intelligent mix design of recycled brick aggregate concrete based on swarm intelligence

S Wang, P Xia, Z Wang, T Meng, F Gong - Journal of Building Engineering, 2023 - Elsevier
The mechanical properties of recycled brick aggregate concrete (RBAC) are significantly
affected by design parameters such as recycled brick aggregate (RBA) replacement ratio …

Comparison of extreme learning machine and deep learning model in the estimation of the fresh properties of hybrid fiber-reinforced SCC

C Kina, K Turk, E Atalay, I Donmez… - Neural Computing and …, 2021 - Springer
This paper studied the estimation of fresh properties of hybrid fiber-reinforced self-
compacting concrete (HR-SCC) mixtures with different types and combinations of fibers by …

Remote sensing–based urban green space detection using marine predators algorithm optimized machine learning approach

ND Hoang, XL Tran - Mathematical Problems in Engineering, 2021 - Wiley Online Library
Information regarding the current status of urban green space is crucial for urban land‐use
planning and management. This study proposes a remote sensing and data‐driven solution …

Combining artificial neural network and seeker optimization algorithm for predicting compression capacity of concrete-filled steel tube columns

P Hu, H Aghajanirefah, A Anvari, ML Nehdi - Buildings, 2023 - mdpi.com
Accurate and reliable estimation of the axial compression capacity can assist engineers
toward an efficient design of circular concrete-filled steel tube (CCFST) columns, which are …

Application of machine learning models in the capacity prediction of RCFST columns

K Megahed, NS Mahmoud, SEM Abd-Rabou - Scientific Reports, 2023 - nature.com
Rectangular concrete-filled steel tubular (RCFST) columns are widely used in structural
engineering due to their excellent load-carrying capacity and ductility. However, existing …