Sustainable alkali-activated concrete modified with cement kiln dust and fly ash: an ai-based study DOI
Saif Saad Mansoor, Faidhalrahman Khaleel, Haitham Abdulmohsin Afan

и другие.

Innovative Infrastructure Solutions, Год журнала: 2025, Номер 10(6)

Опубликована: Май 30, 2025

Язык: Английский

Influence of strength grades of core concrete of reinforced concrete column with self-compacting mortar stay-in-place formwork DOI
Zainab Hashim Abbas, Maan S. Hassan, Iqbal N. Gorgis

и другие.

Innovative Infrastructure Solutions, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Performance prediction and sensitivity analysis of tunnel boring machine in various geological conditions using an ensemble extreme learning machine DOI

Lianhui Jia,

Lijie Jiang,

Yongliang Wen

и другие.

Automation in Construction, Год журнала: 2025, Номер 175, С. 106169 - 106169

Опубликована: Апрель 9, 2025

Язык: Английский

Процитировано

0

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview DOI Creative Commons
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi

и другие.

Deep Underground Science and Engineering, Год журнала: 2025, Номер unknown

Опубликована: Май 28, 2025

Abstract Tunnels are essential components of contemporary infrastructure, yet guaranteeing their safety, longevity, and efficiency remains a persistent challenge. Recent breakthroughs in artificial intelligence (AI) digital twin (DT) technology provide innovative solutions for the real‐time monitoring tunnel systems, suggesting proactive maintenance tactics improved safety protocols. This review paper offers comprehensive examination application AI DT methodologies surveillance. We explore core concepts applicability to structural monitoring, encompassing machine learning, computer vision, sensor integration. Through utilization these AI‐powered technologies, engineers equipped with unparalleled insights into state behavior tunnels, facilitating early identification irregularities optimization timelines. discuss array techniques utilized immediate emphasizing foundations, benefits, practical uses. Numerous studies have showcased effectiveness adaptability AI‐based systems various settings. Moreover, we address hurdles constraints inherent suggest strategies overcoming them, such as data augmentation, interpretable AI, edge computing, continuous monitoring. Ultimately, incorporation technologies surveillance signifies paradigm shift, offering substantial advantages over conventional techniques. By adopting AI‐driven operators can augment prolong lifespan decrease operational expenses, molding future subterranean infrastructure management.

Язык: Английский

Процитировано

0

Sustainable alkali-activated concrete modified with cement kiln dust and fly ash: an ai-based study DOI
Saif Saad Mansoor, Faidhalrahman Khaleel, Haitham Abdulmohsin Afan

и другие.

Innovative Infrastructure Solutions, Год журнала: 2025, Номер 10(6)

Опубликована: Май 30, 2025

Язык: Английский

Процитировано

0