Digital twin and industry 4.0 enablers in building and construction: a survey

W Hu, KYH Lim, Y Cai - Buildings, 2022 - mdpi.com
With increasing interest in automatic and intelligent systems to enhance the building and
construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to …

[HTML][HTML] Infrastructure digital twin technology: A new paradigm for future construction industry

TD Moshood, JOB Rotimi, W Shahzad… - Technology in Society, 2024 - Elsevier
The construction industry has traditionally been slow to adopt digital technology, resulting in
inefficient workflows, frequent cost overruns, and delays. Moreover, its fragmented structure …

[HTML][HTML] Toward sustainability and resilience with Industry 4.0 and Industry 5.0

TD Moshood, G Nawanir, CK LEE, MA Fauzi - Sustainable Futures, 2024 - Elsevier
Digitalization and Industry 4.0 concepts promise substantial improvements in productivity
and coordination, their adoption across the entire project lifecycle remains sporadic and …

A novel model for the real-time evaluation of hole-cleaning conditions with case studies

M Al-Rubaii, M Al-Shargabi, D Al-Shehri - Energies, 2023 - mdpi.com
The main challenge in deviated and horizontal well drilling is hole cleaning, which involves
the removal of drill cuttings and maintaining a clean borehole. Insufficient hole cleaning can …

[HTML][HTML] A flow-directed minimal path sets method for success path planning and performance analysis

Z He, J Yang, Y Hong - Nuclear Engineering and Technology, 2024 - Elsevier
Emergency operation plans are indispensable elements for effective process safety
management especially when unanticipated events occur under extreme situations. In the …

DEVELOPING A NEURAL NETWORK MODEL TO PREDICT THE OPTIMAL MINIMUM FLOW RATE FOR EFFECTIVE HOLE CLEANING.

D Delikesheva, E Essembayev… - Eastern-European …, 2024 - search.ebscohost.com
The object of the study is effective well cleaning during drilling. The subject of the study is
the development of a machine learning model based on a neural network for predicting the …

Digital twin and AI enabled predictive maintenance in building industry

W Hu - 2024 - dr.ntu.edu.sg
The rapid advancement of information and communication technologies (ICT) and artificial
intelligence (AI) has catalysed a significant shift in maintenance practices within the building …

[PDF][PDF] Sustainable Futures

TD Moshood, G Nawanir, CK LEE, MA Fauzi - openrepository.aut.ac.nz
Digitalization and Industry 4.0 concepts promise substantial improvements in productivity
and coordination, their adoption across the entire project lifecycle remains sporadic and …