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2020

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Articles 31 - 34 of 34

Full-Text Articles in Other Engineering

A Novel Structural Health Monitoring Method For Reinforced Concrete Bridge Decks Using Ultrasonic Guided Waves, Ece Erdogmus, Eric Garcia, Ahmad Shoaib Amiri, Michael Schuller Jan 2020

A Novel Structural Health Monitoring Method For Reinforced Concrete Bridge Decks Using Ultrasonic Guided Waves, Ece Erdogmus, Eric Garcia, Ahmad Shoaib Amiri, Michael Schuller

Durham School of Architectural Engineering and Construction: Faculty Publications

This article presents the latest improvements in a recently developed nondestructive testing (NDT) approach for early detection of various flaws (corrosion, delamination, and concrete cracking) in reinforced concrete (RC) bridge decks. The proposed method involves the use of internal steel reinforcement as a wave guide for transmitting ultrasonic waves through the system and the measurement of leaked energy from the surface of the concrete. This paper builds upon the progress made in the previously published phases of the project and aims to further explore the capabilities and practicality of the proposed NDT method. Specifically, the limits of propagation distance, effect …

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Reinventing High School: Understanding The Challenges And Successes Of Transforming Education To Meet Student, Society, And Industry Needs, Scott R. Bartholomew, Greg J. Strimel, Anne M. Lucietto, Mesut Akdere Jan 2020

Reinventing High School: Understanding The Challenges And Successes Of Transforming Education To Meet Student, Society, And Industry Needs, Scott R. Bartholomew, Greg J. Strimel, Anne M. Lucietto, Mesut Akdere

Faculty Publications

Efforts to revamp existing educational systems and approaches result in various new models in STEM education. Accordingly, a new urban public charter school, located in a Midwest state in the United States, was established in partnership with the state’s land-grant university to create a transformed integrated STEM educational environment characterized by industry-focused and design-based learning to help prepare students for the future of work and learning. This article presents findings from an exploratory study that examined the experiences of teachers and administrative staff of this innovative high school (IHS) during the first year of school operation. A purposive sample of …

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Exploring The Curricular Content Of Engineering Ethics Education In Ireland, Diana Adela Martin, Eddie Conlon, Brian Bowe Jan 2020

Exploring The Curricular Content Of Engineering Ethics Education In Ireland, Diana Adela Martin, Eddie Conlon, Brian Bowe

Conference papers

Our contribution aims to determine the main curricular themes employed in engineering ethics instruction. In the use of the term `curricular content", the study is guided by an understanding of curriculum in terms of the syllabus content of a specific discipline or set of units taught to students. The research study has been conducted in cooperation with the national accrediting body Engineers Ireland and includes 23 Engineering programmes from 6 institutions in Ireland that underwent accreditation between 2017-2019. The research method employed is a documentary analysis of the materials prepared by the programmes for accreditation or made available on the …

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A Direct Data-Cluster Analysis Method Based On Neutrosophic Set Implication, Florentin Smarandache, Sudan Jha, Gyanendra Prasad Joshi, Lewis Nkenyereya, Dae Wan Kim Jan 2020

A Direct Data-Cluster Analysis Method Based On Neutrosophic Set Implication, Florentin Smarandache, Sudan Jha, Gyanendra Prasad Joshi, Lewis Nkenyereya, Dae Wan Kim

Branch Mathematics and Statistics Faculty and Staff Publications

Raw data are classified using clustering techniques in a reasonable manner to create disjoint clusters. A lot of clustering algorithms based on specific parameters have been proposed to access a high volume of datasets. This paper focuses on cluster analysis based on neutrosophic set implication, i.e., a k-means algorithm with a threshold-based clustering technique. This algorithm addresses the shortcomings of the k-means clustering algorithm by overcoming the limitations of the threshold-based clustering algorithm. To evaluate the validity of the proposed method, several validity measures and validity indices are applied to the Iris dataset (from the University of California, Irvine, Machine …

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