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2023 IEEE IFEES World engineering Education Forum and Global engineering Deans Council, WEEF-GEDC 2023

作者： Sowinski, Andrew Dumond, Patrick Knox, David Bruce, David Foster, Jason Anis, Hanan University of Ottawa School of Engineering Design and Teaching Innovation Faculty of Engineering Ottawa Canada

ISBN: (纸本)9798350316025

A new three-year Bachelor of Multidisciplinary design - Experiential Learning program was approved by the Ontario Ministry of Colleges and Universities in 2022 at the University of Ottawa in Canada. The program is situated in the faculty of engineering and welcomed its first student cohort in the Fall of 2023. The program is designed for students who have a diverse set of interests, and who are passionate about combining technology with other fields, including social science, business, or arts, rather than those wanting to be engineers. The flexible program provides students with the skills required for modern multidisciplinary job markets, and with the opportunity to define and pursue their own career trajectory. As this type of flexibility and openness may seem daunting for first year students, sample learning paths were created based on current job market trends, with more learning paths in development. To support using these paths and developing new ones, a tool was developed to help students plan their path and select their courses. This paper focuses on the development of this unique program in the Canadian context, as well as the challenges associated with its development. Since this new program is not a traditional engineering discipline, and is targeting non-traditional students, recruitment efforts and marketing needed to be modified from those used elsewhere in the faculty. © 2023 IEEE.

关键词： Students

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A First Inventory of Investigational Concerns for Prognostic Systems Thinking based on an Extended Conceptual Framework

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Journal of Integrated design and Process Science 2025年第Pre-press期Pre-press卷 1-25页

作者： Horváth, Imre Department of Sustainable Design Engineering Faculty of Industrial Design Engineering Delft University ofTechnology Delft Netherlands

As the nature of systems changes, systems thinking must also change. A currently happening strong change is proliferation of highly intellectualized and socially deeply embedded engineered systems, which raise many novel and crucial technological, managerial, social, organizational, business, environmental, human, and so forth, issues. Considering the influences of this change, it is argued that there is a need for prognostic systems thinking (PST) that considers not only the observable manifestation of systems, but also the trends of their overall development. The reported research is based on a comprehensive literature study and concept relationship analysis. Its goal was deriving a comprehensive set of investigational concerns based on an extended conceptual framework. Rendered as a semantic network, this conceptual framework rests on a set of foundational concepts (semantically interconnected pillars). The paper (i) explains the reasons of the abovementioned need, (ii) identifies the pillars of contemporary analytic systems thinking as well as a set of up-and-coming new pillars, (iii) presents a first iteration of the novel conceptual framework, (iv) discusses the proposed investigation concerns for prognostic systemic analysis, and (iv) casts light on their implications with regard to PST. Furthermore, some currently open issues (such as determination of the boundaries of systems, completeness/sufficiency of a given set of concerns, and ranking/preference of concerns) and research opportunities (such as methodological support of deriving concerns, objective concerns assessment in various application contexts, and computer support of PST) are suggested. © 2022 – IOS Press. All rights reserved.

关键词： Systems thinking

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A Customizable Multidisciplinary design Program in a Traditional engineering faculty

A Customizable Multidisciplinary Design Program in a Traditi...

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World engineering Education Forum - Global engineering Deans Council (WEEF-GEDC)

作者： Andrew Sowinski Patrick Dumond David Knox David Bruce Jason Foster Hanan Anis School of Engineering Design and Teaching Innovation Faculty of Engineering University of Ottawa Ottawa Canada

A new three-year Bachelor of Multidisciplinary design – Experiential Learning program was approved by the Ontario Ministry of Colleges and Universities in 2022 at the University of Ottawa in Canada. The program is situated in the faculty of engineering and welcomed its first student cohort in the Fall of 2023. The program is designed for students who have a diverse set of interests, and who are passionate about combining technology with other fields, including social science, business, or arts, rather than those wanting to be engineers. The flexible program provides students with the skills required for modern multidisciplinary job markets, and with the opportunity to define and pursue their own career trajectory. As this type of flexibility and openness may seem daunting for first year students, sample learning paths were created based on current job market trends, with more learning paths in development. To support using these paths and developing new ones, a tool was developed to help students plan their path and select their courses. This paper focuses on the development of this unique program in the Canadian context, as well as the challenges associated with its development. Since this new program is not a traditional engineering discipline, and is targeting non-traditional students, recruitment efforts and marketing needed to be modified from those used elsewhere in the faculty.

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Adopting Graph Neural Networks to Understand and Reason about Dynamic Driving Scenarios

IEEE Open Journal of Intelligent Transportation Systems

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IEEE Open Journal of Intelligent Transportation Systems 2025年 6卷 579-589页

作者： Su, Peng Xiang, Conglei Chen, Dejiu KTH Royal Institute of Technology Faculty of Engineering Design Department Stockholm Sweden School Stockholm Sweden

With advances in Deep Neural Networks (DNN), Automated Driving Systems (ADS) enable the vehicle to perceive their surroundings in dynamic driving scenarios and perform behaviors by collecting operational data from sensors such as LiDAR and cameras. Current DNN typically detect objects by analyzing and classifying unstructured data (e.g., image data), providing critical information for ADS planning and decision-making. However, advanced ADS, particularly those required to perform the Dynamic Driving Task (DDT) autonomously, are expected to understand driving scenarios across various Operational design Domains (ODD). This capability requires the support for a continuous comprehension of driving scenarios according to operational data collected by sensors. This paper presents a framework that adopts Graph Neural Networks (GNN) to describe and reason about dynamic driving scenarios via analyzing graph-based data based on collected sensor inputs. We first construct the graph-based data using a meta-path, which defines various interactions among different traffic participants. Next, we propose a design of GNN to support both the classification of the node types of objects and predicting relationships between objects. As results, the performance of the proposed method shows significant improvements compared to the baseline method. Specifically, the accuracy of node classification increases from 0.77 to 0.85, while that of relationships prediction rises from 0.74 to 0.82. To further utilize graph-based data constructed from dynamic driving scenarios, the proposed framework supports reasoning about operational risks by analyzing the observed nodes and relationships in the graph-based data. As a result, the model achieves a MRR of 0.78 in operational risks reasoning. To evaluate the practicality of the proposed framework in real-world systems, we also conduct a real-time performance evaluation by measuring the average process time and the Worst Case Execution Time (WCET). Com

关键词： Graph neural networks

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Point cloud classification and part segmentation of steel structure elements

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Neural Computing and Applications 2025年第6期37卷 4387-4407页

作者： Daif, Hassan Marzouk, Mohamed Integrated Engineering Design Management Program Faculty of Engineering Cairo University Giza12613 Egypt Structural Engineering Department Faculty of Engineering Cairo University Giza12613 Egypt Badr City Cairo11829 Egypt

The classification and part segmentation of point clouds have gained significant attention in the field of artificial intelligence (AI), especially in the construction industry. However, addressing the dataset directly in AI models remains a challenge, as most existing methods are not well-suited for processing point cloud data. PointNet has emerged as an AI architecture algorithm. It transforms individual points independently to learn local and global features. This research aims to develop a comprehensive framework for classification and part segmentation for point clouds of steel structure elements. The framework enhances the accuracy of the PointNet algorithm, and it consists of three stages: (1) dataset creation;(2) model classification;and (3) part segmentation. First, the dataset creation procedure encompasses modeling steel columns, beams, and braces using Autodesk Revit software. For the classification dataset, a dataset comprising 580 columns and 920 beams is obtained. In the part segmentation dataset, five categories of steel braced frame elements are generated, yielding a total of 21,870 elements for braced frame structures. Several point cloud experiments have been applied, including adjusting the number of points in the point cloud, altering the batch size, and fine-tuning the number of epochs. These experimental settings were systematically investigated to identify the optimal combination that yields the highest (AI) model accuracy. PointNet model achieved 100% accuracy across all classification experiments, while part segmentation experiments reached up to 97.10% accuracy, with a mean intersection over union (MIOU) of 93.70%. The comprehensive analysis of the point cloud dataset is applied on an actual case study to demonstrate the practical features of the proposed research. © The Author(s) 2024.

关键词： Steel structures

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Nonlinear Post-Buckling Stability of Graphene Origami-Enabled Auxetic Metamaterials Plates

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Computer Modeling in engineering & Sciences 2025年第4期143卷 515-538页

作者： Salwa A.Mohamed Mohamed A.Eltaher Nazira Mohamed Rasha Abo-bakr Engineering Mathematics Department Faculty of EngineeringZagazig UniversityZagazig44519Egypt Mechanical Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Mechanical Design and Production Department Faculty of EngineeringZagazig UniversityZagazig44519Egypt Mathematical Department Faculty of ScienceZagazig UniversityZagazig44519Egypt

The nonlinear post-buckling response of functionally graded(FG)copper matrix plates enforced by graphene origami auxetic metamaterials(GOAMs)is investigated in the *** auxeticmaterial properties of the plate are controlled by graphene content and the degree of origami folding,which are graded across the thickness of the *** properties of the GOAM plate are evaluated using genetic *** nonlinear eigenvalue problems for the post-buckling response of the GOAM composite plate are derived using the virtual work principle and a four-variable nonlinear shear deformation theory.A novel differential quadrature method(DQM)algorithm is developed to solve the nonlinear eigenvalue *** parametric studies are presented to explore the effects of graphene content,folding degree,and GO distribution patterns on the post-buckling responses of GOAM *** show that high tunability in post-buckling characteristics can be achieved by using *** OrigamiAuxeticMetamaterials(FG-GOAM)plates can be used in aerospace structures to improve their structural performance and response.

关键词： Postbuckling nonlinear stability auxetic metamaterials higher order plate DQM numerical solution

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Review on integral stiffened panel of aircraft fuselage structure

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Defence Technology(防务技术) 2025年第4期46卷 1-11页

作者： Devi Chandra Y.Nukman Muhammad Adlan Azka S.M.Sapuan J.Yusuf Mechanical Engineering Department Faculty of EngineeringAndalas UniversityPadang25163Indonesia Department of Engineering Design and Manufacture Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia Advanced Engineering Materials and Composites(AEMC)Research Centre Department of Mechanical and Manufacturing EngineeringUniversiti Putra MalaysiaUPM Serdang43400SelangorMalaysia

The increasing demand to decrease manufacturing costs and weight reduction is driving the aircraft industry to change the use of conventional riveted stiffened panels to integral stiffened panels(ISP)for aircraft fuselage *** is a relatively new structure in aircraft industries and is considered the most significant development in a *** structures have the potential to replace the conventional stiffened panel due to the emergence of manufacturing technology,including welding,high-speed machining(HSM),extruding,and *** laser beam welding(LBW)and friction stir welding(FSW)have been applied in aircraft companies,many investigations into ISP continue to be *** this review article,the current state of understanding and advancement of ISP structure is addressed.A particular explanation has been given to(a)buckling performance,(b)fatigue performance of the ISP,(c)modeling and simulation aspects,and(d)the impact of manufacturing decisions in welding processes on the final structural behavior of the ISP during *** to riveted panels,machined ISP had a better compressive buckling load,and FSW integral panels had a lower buckling load than riveted *** residual stress decreased the stress intensity factor(SIF)rates,slowing down the growth of fatigue cracks as occurred in FSW and LBW ISP.

关键词： Integral stiffened panel Buckling Fatigue Friction stir welding Laser beam welding

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Effect of Al Content on Precipitation Behavior of AIN Inclusions during Unidirectional Solidification Process of Fe-(0.5-2.0)%Al-2.0%Mn Alloys

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Tetsu-To-Hagane/Journal of the Iron and Steel Institute of Japan 2025年第3期111卷 131-140页

作者： Imai, Kenta Kato, Kengo Ono, Hideki Graduate School of Science and Engineering University of Toyama Japan Academic Assembly Faculty of Sustainable Design University of Toyama Japan

Mn-TRIP steels of which composition is mainly Fe–(0.5–3mass%)Al–(2–10mass%)Mn are expected to be new advanced high-strength sheet steels. During the solidification process of Fe–Al–Mn alloy, AlN inclusions precipitate at the grain boundary, which leads to the severe deterioration of hot ductility. However, the precipitation behavior of AlN inclusion is not known enough. In this work, a unidirectional solidification experiment of Fe–(0.5–2.0)mass%Al–2.0mass%Mn alloys and numerical analysis on the forming condition of AlN were carried out, and the precipitation behavior of AlN inclusions was studied. Al2O3 inclusions were observed in the alloy with 0.5 mass%Al. On the other hand, AlN inclusions were observed in alloys with 1.0, 1.5, and 2.0 mass%Al. The volume fraction of AlN inclusions increased with increasing Al content of the alloy. The thermodynamic analysis revealed that AlN is thermodynamically unstable at temperatures above the liquidus of the alloy. When Al content of molten steel is increased, AlN becomes thermodynamically stable. Accordingly, the forming amounts of AlN in the alloys during the solidification were analyzed considering the segregation. The results show that the precipitation of AlN inclusions increases significantly during solidification due to the enrichment of Al in the liquid phase. In the Fe–(1.0–2.0)mass%Al–2.0 mass%Mn alloy, Al2O3–AlN inclusions were also observed, where AlN is present around Al2O3. These inclusions are considered to be formed by the precipitation of AlN, which becomes stable as the Al concentration increases due to solidification segregation, on Al2O3, which is stable and precipitated in the early stage of solidification (Figure Presented). © 2025 The Iron and Steel Institute of Japan.

关键词： Manganese alloys

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Precipitation Behavior of MnS from Molten Iron to Al2O3 during Solidification

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Tetsu-To-Hagane/Journal of the Iron and Steel Institute of Japan 2025年第3期111卷 112-121页

作者： Takeda, Akito Kurokawa, Takuma Kato, Kengo Ono, Hideki Graduate School of Science and Engineering University of Toyama Japan Academic Assembly Faculty of Sustainable Design University of Toyama Japan

Forming conditions and compositional changes of primary inclusions in molten steel have been studied due to the demand for high cleanliness of steels. MnS, a common inclusion in steel, does not form in molten steel, although it is observed in steel with oxide inclusions such as MnO, Al2O3 and SiO2. On the other hand, Mn and S are enriched in molten steel due to the segregation phenomenon during the solidification process which suggests that MnS form in molten steel during solidification. However, the precipitation behavior of MnS inclusions in molten steel due to the enrichment of Mn and S and the interaction between the primary inclusion and the molten steel is still unclear. In this work, a new experimental technique was developed and the precipitation behavior of MnS from molten steel onto solid Al2O3 was studied. Solid MnS precipitates were observed on the Al2O3 rod immersed in the sample with adding Al whereas precipitates containing MnO, A2O3 and MnS were observed on the Al2O3 rod in the sample without adding Al. Thermodynamic analysis revealed that Mn enriched in molten steel is oxidized to form MnAl2O4 when Al content is low and the MnAl2O4 reacts with S in molten iron to form molten MnO–Al2O3–MnS. MnS can precipitate from the molten MnO–Al2O3–MnS. On the other hand, Mn enriched in molten steel does not react with Al2O3 when Al content is high. Therefore, MnS can precipitate at the final period of solidification where Mn and S are significantly enriched in molten steel. © 2025 The Iron and Steel Institute of Japan.

关键词： Precipitates

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SEISMIC design FOR SUPER HIGH-RISE BUILDING WITH DAMPERS USING MULTIPLE STEP OPTIMIZATION Oil damper placement optimization and section optimization considering change of frame weight

Journal of Structural and Construction Engineering

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Journal of Structural and Construction engineering 2025年第830期90卷 457-468页

作者： Takei, Hideki Hamada, Hideaki Nihon Sekkei Inc. Japan Dept. of Architecture Faculty of Engineering and Design Hosei Univ. Japan

This paper proposes a seismic design method using optimization for super high-rise building with dampers. The method involves four steps: 1) Specifying frame stiffness distribution and natural period by optimizing the elastic response of moment frame to Lv1 seismic motion. 2) Specifying frame energy absorption performance by optimizing the elastic-plastic response of moment frame to Lv2 seismic motion. 3) With step 1) and 2) result, specifying damping device placement using placement optimization. 4) Based on step 3), specifying the member section using section optimization. The method’s effectiveness is demonstrated by the result of analyzing a 100-meter-high building with oil dampers. © 2025 Architectural Institute of Japan. All rights reserved.

关键词： Tall buildings

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