The Experts below are selected from a list of 144216 Experts worldwide ranked by ideXlab platform
Michio Imai - One of the best experts on this subject based on the ideXlab platform.
-
Review: optical fiber sensors for Civil Engineering applications
2015Co-Authors: Christopher K Y Leung, Jin-ping Ou, Kai Tai Wan, Xiaoyi Bao, Hwai-chung Wu, Masoud Ghandehari, Wolfgang Habel, Wolfgang R. Habel, Zhi Zhou, Daniele Inaudi, Michio ImaiAbstract:Optical fiber sensor (OFS) technologies have developed rapidly over the last few decades, and various types of OFS have found practical applications in the field of Civil Engineering. In this paper, which is resulting from the work of the RILEM technical committee ``Optical fiber sensors for Civil Engineering applications'', different kinds of sensing techniques, including change of light intensity, interferometry, fiber Bragg grating, adsorption measurement and distributed sensing, are briefly reviewed to introduce the basic sensing principles. Then, the applications of OFS in highway structures, building structures, geotechnical structures, pipelines as well as cables monitoring are described, with focus on sensor design, installation technique and sensor performance. It is believed that the State-of-the-Art review is helpful to engineers considering the use of OFS in their projects, and can facilitate the wider application of OFS technologies in construction industry.
Hojjat Adeli - One of the best experts on this subject based on the ideXlab platform.
-
sustainable decision making in Civil Engineering construction and building technology
2018Co-Authors: Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene, Tatjana Vilutiene, Hojjat AdeliAbstract:Sustainable decision-making in Civil Engineering, construction and building technology can be supported by fundamental scientific achievements and multiple-criteria decision-making (MCDM) theories.
-
sustainable decision making in Civil Engineering construction and building technology
2017Co-Authors: Edmundas Kazimieras Zavadskas, Jurgita Antucheviciene, Tatjana Vilutiene, Hojjat AdeliAbstract:Sustainable decision-making in Civil Engineering, construction and building technology can be supported by fundamental scientific achievements and multiple-criteria decision-making (MCDM) theories. The current paper aims at overviewing the state of the art in terms of published papers related to theoretical methods that are applied to support sustainable evaluation and selection processes in Civil Engineering. The review is limited solely to papers referred to in the Clarivate Analytic Web of Science core collection database. As the focus is on multiple-criteria decision-making, it aims at reviewing how the papers on MCDM developments and applications have been distributed by period of publishing, by author countries and institutions, and by journals. Detailed analysis of 2015–2017 journal articles from two Web of Science categories (Engineering Civil and construction building technology) is presented. The articles are grouped by research domains, problems analyzed and the decision-making approaches used. The findings of the current review paper show that MCDM applications have been constantly growing and particularly increased in the last three years, confirming the great potential and prospects of applying MCDM methods for sustainable decision-making in Civil Engineering, construction and building technology.
-
neural networks in Civil Engineering 1989 2000
2001Co-Authors: Hojjat AdeliAbstract:The first journal article on neural network application in Civil/structural Engineering was published by in this journal in 1989. This article reviews neural network articles published in archival research journals since then. The emphasis of the review is on the two fields of structural Engineering and construction Engineering and management. Neural networks articles published in other Civil Engineering areas are also reviewed, including environmental and water resources Engineering, traffic Engineering, highway Engineering, and geotechnical Engineering. The great majority of Civil Engineering applications of neural networks are based on the simple backpropagation algorithm. Applications of other recent, more powerful and efficient neural networks models are also reviewed. Recent works on integration of neural networks with other computing paradigms such as genetic algorithm, fuzzy logic, and wavelet to enhance the performance of neural network models are presented.
Jang W Ra - One of the best experts on this subject based on the ideXlab platform.
-
training entry level engineers in Civil Engineering and design consulting firm
1995Co-Authors: James R Kinney, Jang W RaAbstract:This paper addresses the training of entry-level engineers for Civil Engineering and design consulting practice. A survey was conducted for both managers and engineers representing 26 firms in Alaska. Managers rated the entry-level engineer's skilis/kno,,:,ledge of design elements within the consulting-Engineering business, and the entry-level engmeers rated themselves in these areas. The discrepancies between the managers' and engineers' ratings are highlighted to provide focus areas for a consulting firm's internal training program and university Civil Engineering program curriculum.
Sergi Villalba - One of the best experts on this subject based on the ideXlab platform.
-
A review of distributed optical fiber sensors for Civil Engineering applications
2016Co-Authors: António Barrias, Joan R Casas, Sergi VillalbaAbstract:The application of structural health monitoring (SHM) systems to Civil Engineering structures has been a developing studied and practiced topic, that has allowed for a better understanding of structures’ conditions and increasingly lead to a more cost-effective management of those infrastructures. In this field, the use of fiber optic sensors has been studied, discussed and practiced with encouraging results. The possibility of understanding and monitor the distributed behavior of extensive stretches of critical structures it’s an enormous advantage that distributed fiber optic sensing provides to SHM systems. In the past decade, several R & D studies have been performed with the goal of improving the knowledge and developing new techniques associated with the application of distributed optical fiber sensors (DOFS) in order to widen the range of applications of these sensors and also to obtain more correct and reliable data. This paper presents, after a brief introduction to the theoretical background of DOFS, the latest developments related with the improvement of these products by presenting a wide range of laboratory experiments as well as an extended review of their diverse applications in Civil Engineering structures.
Christopher K Y Leung - One of the best experts on this subject based on the ideXlab platform.
-
Review: optical fiber sensors for Civil Engineering applications
2015Co-Authors: Christopher K Y Leung, Jin-ping Ou, Kai Tai Wan, Xiaoyi Bao, Hwai-chung Wu, Masoud Ghandehari, Wolfgang Habel, Wolfgang R. Habel, Zhi Zhou, Daniele Inaudi, Michio ImaiAbstract:Optical fiber sensor (OFS) technologies have developed rapidly over the last few decades, and various types of OFS have found practical applications in the field of Civil Engineering. In this paper, which is resulting from the work of the RILEM technical committee ``Optical fiber sensors for Civil Engineering applications'', different kinds of sensing techniques, including change of light intensity, interferometry, fiber Bragg grating, adsorption measurement and distributed sensing, are briefly reviewed to introduce the basic sensing principles. Then, the applications of OFS in highway structures, building structures, geotechnical structures, pipelines as well as cables monitoring are described, with focus on sensor design, installation technique and sensor performance. It is believed that the State-of-the-Art review is helpful to engineers considering the use of OFS in their projects, and can facilitate the wider application of OFS technologies in construction industry.