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Xu Bai, Yu Yang, Shouming Wei, Guanyi Chen, Hongrui Li, Yuhao Li, Haoxiang Tian, Tianxiang Zhang and Haitao Cui
Ground-penetrating radar (GPR) is a nondestructive testing technology that is widely applied in infrastructure maintenance, archaeological research, military operations, and other geological studies. A crucial step in GPR data processing is the detection...
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Riyadh S. Almukhtar, Ali Amer Yahya, Omar S. Mahdy, Hasan Shakir Majdi, Gaidaa S. Mahdi, Asawer A. Alwasiti, Zainab Y. Shnain, Majid Mohammadi, Adnan A. AbdulRazak, Peter Philib, Jamal M. Ali, Haydar A. S. Aljaafari and Sajda S. Alsaedi
Due to the significant increase in heavy feedstocks being transported to refineries and the hydrocracking process, the significance of adopting an ebullated bed reactor has been reemphasized in recent years. The predictive modelling of gas hold-up in an ...
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M. S. M. Al-kahtani, Han Zhu, Yasser E. Ibrahim, S. I. Haruna and S. S. M. Al-qahtani
Polymer-modified cement mortar has been increasingly used as a runway/road pavement repair material due to its improved bending strength, bonding strength, and wear resistance. The flexural strength of polyurethane?cement mortar (PUCM) is critical in ach...
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Luca Bertolini, Fabrizio D?Amico, Antonio Napolitano, Luca Bianchini Ciampoli, Valerio Gagliardi and Jhon Romer Diezmos Manalo
Monitoring of critical civil engineering infrastructures has become a priority for public owners and administrative authorities. Several laws and regulations have been issued on this topic, emphasizing the crucial role of Building Information Modeling (B...
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Tu T. Nguyen, Pham Thanh Tung, Nguyen Ngoc Tan, Nguyen Ngoc Linh and Trinh Tu Luc
The applications of the deep belief network (DBN) for addressing practical engineering issues have recently emerged all over the world thanks to its accuracy and availability of data. In this paper, a predictive model using DBN was employed to investigat...
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Eberechi Ichi, Faezeh Jafari and Sattar Dorafshan
Annotated datasets play a significant role in developing advanced Artificial Intelligence (AI) models that can detect bridge structure defects autonomously. Most defect datasets contain visual images of surface defects; however, subsurface defect data su...
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Jonathan M. Taylor and Isabel M. Morris
Determining the material properties and existing capacity of concrete infrastructure using nondestructive techniques is challenging due to evolving design requirements, unknown as-built conditions, and ongoing maintenance and deterioration. Concrete?s ma...
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Lukasz Drobiec, Radoslaw Jasinski and Wojciech Mazur
This paper presents test results from non-destructive testing performed to detect both metallic and non-metallic reinforcement laid in bed joints of the masonry wall.
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Xuyan Tan, Weizhong Chen, Luyu Wang and Jianping Yang
The investigation of concrete structural performance is crucial to maintain the stability of infrastructure. In order to assess structural stability, this work focuses on the development of an integrated framework to detect damaged conditions in the fiel...
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Kyle Hoegh, Roger Roberts, Shongtao Dai and Eyoab Zegeye Teshale
Asphalt pavement compaction quality control and quality assurance (QC/QA) are traditionally based on destructive drilled cores and/or nuclear gauge results, which both are spot measurements representing significantly less than 1 percent of the in-service...
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