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Overcoming Challenges on an International Project to Advance Systems engineering

Insight 2019年第3期22卷 41-48页

作者： Davidz, Heidi Ferris, T.L.J. Henry, Devanandham Hilburn, Thomas B. Hutchison, Nicole A.C. Olwell, David H. Prun, Daniel Pyster, Art Roussel, Jean-Claude Sillitto, Hillary Snoderly, John Squires, Alice F. Zemrowski, Ken Principal Engineer in Systems Engineering at Aerojet Rocketdyne currently in Systems Development Verification Queensland University of Technology University of South Australia Australia Stevens Institute of Technology United States Emeritus of Software Engineering at Embry-Riddle Aeronautical University Daytona BeachFL United States Hal and Inge Marcus School of Engineering at Saint Martin's University United States French Civil Aviation University France Volgenau School of Engineering at George Mason University United States Systems Engineering Senior Expert with 37 years of experience in different Aeronautics and Space Programs at Airbus INCOSE certified ESEP Toulouse France University of St Andrews United Kingdom Defense Acquisition University United States United States

The Body of Knowledge and Curriculum to Advance Systems engineering (BKCASE) project's dual product development cycle spanned a three-year period from the September 2009 to December, 2012. During this timeframe, BKCASE authors met quarterly at various locations, primarily in various regions of the United States, but also in Stockholm, Sweden;Toulouse, France;London, England;and Rome, Italy (BKCASE, 2009–2019). The team successfully worked through challenges and differences to produce The Guide to the Systems engineering Body of Knowledge (SEBoK) wiki and a Graduate Reference Curriculum for Systems engineering (GRCSE) publication. This article is a collection of personal stories from the team members that focus on overcoming obstacles to successfully produce the final published products. © 2019 International Council on Systems engineering.

关键词： Curricula

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Intelligent road inspection with advanced machine learning;hybrid prediction models for smart mobility and transportation maintenance systems

arXiv

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arXiv 2020年

作者： Karballaeezadeh, Nader Zaremotekhases, Farah Shamshirband, Shahaboddin Mosavi, Amir Nabipour, Narjes Csiba, Peter Várkonyi-Kóczy, Annamária R. Department of Civil Engineering Shahrood University of Technology Shahrood*** Singapore Department of Construction Management Louisiana State University Baton RougeLA70803 United States Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Information Technology Ton Duc Thang University Ho Chi Minh City Viet Nam School of the Built Environment Oxford Brookes University OxfordOX3 0BP United Kingdom Institute of Structural Mechanics Bauhaus University Weimar WeimarD-99423 Germany Faculty of Health Queensland University of Technology 130 Victoria Park Road Brisbane CityQLD4059 Australia Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam Department of Mathematics and Informatics J. Selye University Komarno94501 Slovakia Kalman Kando Faculty of Electrical Engineering Obuda University Budapest1034- Hungary

Prediction models in mobility and transportation maintenance systems have been dramatically improved through using machine learning methods. This paper proposes novel machine learning models for an intelligent road inspection. The traditional road inspection systems based on the pavement condition index (PCI) are often associated with the critical safety, energy and cost issues. Alternatively, the proposed models utilize surface deflection data from falling weight deflectometer (FWD) tests to predict the PCI. Machine learning methods are the single multi-layer perceptron (MLP) and radial basis function (RBF) neural networks as well their hybrids, i.e., Levenberg-Marquardt (MLP-LM), scaled conjugate gradient (MLP-SCG), imperialist competitive (RBF-ICA), and genetic algorithms (RBF-GA). Furthermore, the committee machine intelligent systems (CMIS) method was adopted to combine the results and improve the accuracy of the modeling. The results of the analysis have been verified through using four criteria of average percent relative error (APRE), average absolute percent relative error (AAPRE), root mean square error (RMSE), and standard error (SD). The CMIS model outperforms other models with the promising results of APRE=2.3303, AAPRE=11.6768, RMSE=12.0056, and SD=*** Codes 68T01 Copyright © 2020, The Authors. All rights reserved.

关键词： Multilayer neural networks

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Crack Detection of Concrete Surface Based on \Newline Convolutional Neural Networks 17

Crack Detection of Concrete Surface Based on \Newline Convol...

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17th International Conference on Machine Learning and Cybernetics, ICMLC 2018

作者： Yao, Gang Wei, Fu-Jia Qian, Ji-Ye Wu, Zhao-Guo School of Civil Engineering Chongqing University Chongqing400044 China Key Laboratory of New Technology for Construction of Cities in Mountain Area Ministry of Education China State Grid Chongqing Electric Power Co. Electric Power Research Institute Chongqing401123 China

ISBN: (纸本)9781538652121

Apparent quality of concrete is one of the important indexes of engineering quality assessment, occupying a very important position in the quality of engineering. As an important evaluation index of the apparent quality of concrete, the detection of cracks is particularly important. The traditional detection method mainly relies on the inspection personnel to carry out on-site inspection, which has low efficiency and large environmental limitations. In this paper, a method of crack image recognition based on convolution neural network is proposed, which can realize the automatic recognition of concrete surface cracks, and the recognition accuracy rate is as high as 93.7%. © 2018 IEEE.

关键词： Crack detection

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Correction to: Improved method to measure the strength and elastic modulus of single aggregate particles

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Materials and Structures 2020年第4期53卷 1-1页

作者： Silva, Natalia V. Angulo, Sérgio C. da Silva Ramos Barboza, Aline Lange, David A. Tavares, Luís M. Department of Construction Engineering Escola Politécnica University of Sao Paulo Sao Paulo Brazil Center of Technology Universidade Federal de Alagoas Maceió Brazil Department of Civil and Environmental Engineering University of Illinois at Urbana-Champaign Urbana USA Department of Metallurgical and Materials Engineering Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

The article ‘‘Improved method to measure the strength and elastic modulus of single aggregate particles’’, written by ‘‘Natalia V. Silva, Sérgio C. Angulo, Aline da Silva Ramos Barboza, David A. Lange, Luís M. Tavares’’, was originally published electronically on the publisher’s Internet portal (currently SpringerLink) on 6 July 2019 without open access.

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Experimental study and calculation of the shear capacity of rc columns strengthened with high ductile concrete

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Gongcheng Lixue/engineering Mechanics 2018年第3期35卷 159-166页

作者： Deng, Ming-Ke Zhang, Yang-Xi Hu, Hong-Bo School of Civil Engineering Xi'an University of Architecture & Technology Xi'anShaanxi710055 China Guangzhou Testing Center of Construction Quality and Safety Co. Ltd. GuangzhouGuangdong510440 China

Eight reinforced concrete columns were designed and strengthened with high ductile concrete (HDC) and grouting material. The failure modes, strength enhancement mechanics and shear capacities of the specimens were studied by static cyclic loading tests. The experimental results indicate that the HDC strengthening jacket could provide a good confinement for the core concrete. The failure mode is changed from brittle failure to ductile failure. The shear capacity and deformability of the specimens are significantly improved. Theoretical analysis is carried out on the strength enhancement mechanics for columns strengthened with HDC jackets. A calculation method of the shear capacity of strengthened columns is proposed based on the truss-arch model. The calculated results have good agreement with the test results. © 2018, engineering Mechanics Press. All right reserved.

关键词： Reinforced concrete

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Analytical development of seismic retrofit technique for RC beam-column joint using single diagonal haunch 24th

Analytical development of seismic retrofit technique for RC ...

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24th Australasian Conference on the Mechanics of Structures and Materials, ACMSM 2016

作者： Zabihi, A. Tsang, H.H. Gad, E. Wilson, J.L. Department of Civil and Construction Engineering Swinburne University of Technology Hawthorn Australia VIC Australia

ISBN: (纸本)9781138029934

Exterior beam-column joint is typically the weakest link in a limited-ductile RC frame structure. The use of diagonal haunch element has been considered as a desirable seismic retrofit option for preventing brittle failure of the joint. Previous research has been focused on implementing double haunches, whilst the performance of using single haunch element as a less-invasive and more architecturally favourable retrofit option has not been investigated. Hence, the feasibility of using single haunch system for retrofitting RC beam-column joint is explored in this study. This paper presents the analytical development of the technique and illustrates its effectiveness by showing the changes in the shear demand at the joint. © 2017 Taylor & Francis Group, London.

关键词： Retrofitting

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Reasons of expansion for Sicyos angulatus at lower than normal water levels along the Miharu dam reservoir shoreline and possibility of prevention

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Ecology and civil engineering 2019年第2期21卷 159-170页

作者： Azami, Kazuhiro Kageyama, Namiko Miura, Hiroyuki Ichiyanagi, Hidetaka Asaeda, Takashi OYO Corporation Global Environment Business Division 43 Miyukigaoka Tsukuba Ibaraki305-0841 Japan OYO Corporation Global Environment Business Division Ecology and Civil Engineering Institute 275 Aza Ishibatake Oaza Nishikata Miharu-machi Fukushima963-7722 Japan Miharu Dam Management Office Tohoku Regional Construction Bureau Ministry of Land Infrastructure Transport and Tourism 403-4 Aza Nakanouchi Oaza Nishikata Miharu-machi Fukushima963-7722 Japan Water Resources Environment Technology Center 2-14-2 Kouji-machi Chiyoda-ku Tokyo102-0083 Japan Saitama University Department of Environmental Science 255 Shimo-okubo Sakura-ku Saitama338-8570 Japan

In recent years, invasive alien plant species, Sicyos angulatus has been spreading across the shoreline area especially in the drawdown zone, where the water level fluctuates (8 m) between the flood and non-flood seasons, in the Miharu dam. Particularly, the expansion of the 5. angulatus community has been conspicuous since 2009, when the water level rise to the non-flood season has slowed along with the maintenance work for the reservoir shoreline in the end of the flood season. It is hypothesized that decrease in the number of flooding days given to the seeds of 5. angulatus during the non-flood season relates to the proliferation of 5. angulatus community. Hence, the research was focused on the ecological characteristics such as water tolerance of 5. angulatus seeds. It is found that many 5. angulatus fruits observed along the shoreline turning their color green to brown in October, leaving seeds to mature. Green and brown fruits had different water tolerant properties. All green fruits sank in the water in 178 days and were decayed, and the germination rates in the next spring were low. Therefore, it was considered that fruit germination could be reduced if the water level was raised to immerse 5. angulatus community by the middle of October, when the fruits were ripened. In the case of the Miharu dam, germination of 5. angulatus could be inhibited within the range of 2 m above drawn water level in flood season. On the other hand, about 40% of the brown mature fruits were floating even after the seven months of the flooding period, and more than 20% germinated in the next spring whether they are floating or sunken. Since the water level during the non-flood season is raised back near the normal high-water level and maintained in the Miharu dam, it was thought that the floating fruits were diffused near the normal high-water level and germinated as seedlings in the next spring. This could be the reason S. angulatus community in the Miharu dam was large near the n

关键词： Fruits

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Collapse assessment of building columns through multi-axis hybrid simulation 7

Collapse assessment of building columns through multi-axis h...

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7th International Conference on Advances in Experimental Structural engineering, AESE 2017

作者： Hashemi, M. Javad Yazdi, Hamidreza A. Al-Mahaidi, Riadh Gad, Emad Department of Civil and Construction Engineering Swinburne University of Technology MelbourneVIC3122 Australia

ISBN: (纸本)9788885701021

One of the major challenges in collapse assessment of building columns has been the lack of realistic data obtained from reliable experimental loading protocols that are capable of accurately quantifying the reserve capacity of these elements beyond the design level to the state of complete collapse. Until now, quasi-static (QS) symmetrically cyclic or monotonic tests with constant axial load have been commonly used, which are not adequate to accurately capture the actual response of a collapsing column in real earthquake events. Hybrid simulation (HS) can be considered as an attractive alternative to realistically simulate more complex boundary conditions and improve response prediction of a structure from elastic range to collapse. This paper presents a comparative experimental study on two identical large-scale limited-ductility RC columns that were tested to collapse through QS and HS, respectively. A state-of-the-art hybrid testing facility, referred to as the multi axis substructure testing (MAST) system, was used to simulate complex time-varying six-degrees-of-freedom (6-DOF) boundary effects on the physical specimens. Further, preliminary numerical simulations for a series of comparative hybrid simulations with two large-scale steel columns, namely, a prefabricated steel tubular (PST) column and a square concrete-filled steel tube (SCFT) column, is also presented. © 2017 International Conference on Advances in Experimental Structural Engineerin. All rights reserved.

关键词： Building columns Collapse experiments Hybrid simulation MAST system

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An investigation of seismic liquefaction damage and an anti-liquefaction technique for a gravity caisson wharf

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IOP Conference Series: Earth and Environmental Science 2020年第1期455卷

作者： Xiwen Zhang Shuaifang Zhang Zhen Wang Linlin Zhang School of Civil Engineering and Architecture University of Jinan Jinan 250022 China The engineering technology research center for urban underground engineering supporting and risk monitoring of Shandong Province Jinan 250022 China Department of Mechanical Engineering Penn State University State College PA 16803 USA Shuifa Planning & Design CO. LTD Jinan 250100 China China Construction Eighth Engineering Division Co. Ltd. Shanghai 200135 China

Gravity caissons are widely used in the construction of coastal ports owing to their simplicity, high capacity, and easy construction. The verification of resistance to seismic liquefaction and earthquakes is necessary and important in the design and construction of coastal ports. In this study, a numerical program was developed based on elasto-plastic theory and a coupled finite element–finite difference method. The seismic resistance of a caisson wharf was assessed using the proposed program. Furthermore, gravel piles were designed to resist liquefaction-induced disaster. It was found that the lateral spreading of liquefied soil would cause large sliding and rotational deformation in the gravity caisson. Adding gravel piles, it can decrease the deformation of the caisson foundation, and improve the stability of the caisson wharf.

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Research on Vegetable Oil Based Rejuvenating Agent and Properties of Recycled Asphalt

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IOP Conference Series: Earth and Environmental Science 2021年第3期719卷

作者： Haiyan Zhang Hui Tang Bin Xu Yahong Feng Lixia Feng Dongwei Cao Middle Road Construction (Beijing) Engineering Materials Technology Co. LTD No.22 Ronghua Middle Road Beijing Economic and Technological Development Zone Beijing 100088 P. R. China School of Civil Engineering Chongqing Jiaotong University No.66 Xuefu Avenue Nan'an District Chongqing 400074 P. R. China Zhong Lu Gao Ke (Beijing) Road Technology Co. Ltd No.8 Road Xitucheng Haidian District Beijing 100088 P. R. China Shijiazhuang Jiaojian Expressway Construction Management Co. LTD No.681 West Third Ring Road Shijiazhuang 050000 P. R. China

Based on theory of dissolution and dispersion and special chemical structure of vegetable oil, the article chooses four kinds of vegetable oil (Tung oil, Castor oil, Rapeseed oil and Linseed oil) and blended them with asphalt. And then Rejuvenating Agents of asphalt based on the four kinds of vegetable oil are prepared. The test results show that good exponent relationship is presented between Tung oil content and Brookfield viscosity of Tung-oil-based Rejuvenating Agent. Furthermore, this paper studies the performance of recycled asphalt by conventional indexes, adhesion, SHRP indexes. The data show it by improving the composition of aging asphalt, thereby enabling recycled asphalt indexes recovered to close to or above the level of original asphalt.

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