Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Alireza Entezam"'
Autor:
Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Hadi Nourizadeh, Kevin McDougall, Warna Karunasena, Naj Aziz, Shima Entezam, Alireza Entezam
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5232 (2024)
The main objective of implementing primary ground-controlling methods, such as applying rock bolting systems, is to increase the strength of surrounding rock mass. Among all rock bolting systems, fully grouted rock bolting systems are the most popula
Externí odkaz:
https://doaj.org/article/b4938676942c497092149a3b15f3cf4a
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 8, Iss 2, Pp 83-101 (2024)
In this article, a novel approach has been employed to identify structural damage in the wooden bridge structure by utilizing vibration data. This method encompasses the Fourier decomposition method that decompose the response of the bridge into a se
Externí odkaz:
https://doaj.org/article/e5f73eedc87d4e729a357f0b81b90dd9
Publikováno v:
Buildings, Vol 14, Iss 4, p 1118 (2024)
In the realm of architectural computing, this study explores the integration of parametric design with machine learning algorithms to advance the early design phase of tall buildings with outer diagrid systems. The success of such an endeavor relies
Externí odkaz:
https://doaj.org/article/80cfb684f18947cf9d25ef5a52dedbdb
Publikováno v:
Engineering Proceedings, Vol 58, Iss 1, p 54 (2023)
Small data analytics, at the opposite extreme of big data analytics, represent a critical limitation in structural health monitoring based on spaceborne remote sensing technology. Besides the engineering challenge, small data is typically a demanding
Externí odkaz:
https://doaj.org/article/7bd8b6ee107f4a419c150fa011af7029
Publikováno v:
Engineering Proceedings, Vol 58, Iss 1, p 56 (2023)
The ambient temperature is a critical factor affecting the deformation of long-span bridges, due to its seasonal fluctuations. Although there exist various sensor technologies and measurement techniques to extract the actual structural response in te
Externí odkaz:
https://doaj.org/article/1641157dd10043eaa48f3ac24c56de11
Publikováno v:
Engineering Proceedings, Vol 58, Iss 1, p 57 (2023)
An accurate prediction of the structural response in the presence of limited training data still represents a big challenge if machine learning-based approaches are adopted. This paper investigates and compares two state-of-the-art kernelized supervi
Externí odkaz:
https://doaj.org/article/e6da9c81df0c4e0f97e607aa18abdd82
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3503 (2023)
Temperature is an important environmental factor for long-span bridges because it induces thermal loads on structural components that cause considerable displacements, stresses, and structural damage. Hence, it is critical to acquire up-to-date infor
Externí odkaz:
https://doaj.org/article/5edcdcd5f8514ca5a40526f60db9738f
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3095 (2023)
Confounding variability caused by environmental and/or operational conditions is a big challenge in the structural health monitoring (SHM) of large-scale civil structures. The elimination of such variability is of paramount importance in avoiding eco
Externí odkaz:
https://doaj.org/article/176d6e6f422c4174bfa1451f4242aa38
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3357 (2022)
Structural health monitoring (SHM) by using remote sensing and synthetic aperture radar (SAR) images is a promising approach to assessing the safety and the integrity of civil structures. Apart from this issue, artificial intelligence and machine lea
Externí odkaz:
https://doaj.org/article/d7656c60883b422389bfb907fea82193
Publikováno v:
Sensors, Vol 22, Iss 13, p 4964 (2022)
The development of satellite sensors and interferometry synthetic aperture radar (InSAR) technology has enabled the exploitation of their benefits for long-term structural health monitoring (SHM). However, some restrictions cause this process to prov
Externí odkaz:
https://doaj.org/article/4922427d078341bd94b29c42f6f400c5