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A machine learning approach for the prediction of very thin wearing layers asphalt concretes volumetric properties and performance

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AIP Conference Proceedings 2023年第1期2928卷

作者： Nicola Baldo Matteo Miani Fabio Rondinella Evangelos Manthos Jan Valentin Polytechnic Department of Engineering and Architecture (DPIA) University of Udine Via del Cotonificio 114 33100 Udine Italy. Department of Civil Engineering Aristotle University of Thessaloniki University Campus 54124 Thessaloniki Greece. Faculty of Civil Engineering Czech Technical University Thákurova 7 166 29 Prague Czech Republic.

In recent years, many researchers in the field of pavement engineering have worked with the aim of developing a model capable of predicting the mechanical behavior of a mixture starting from its composition’s parameters. This has been done following two different approaches. The first involved the use of advanced constitutive laws based on the materials mechanics; the second, instead of being physically based, was data-driven. The present work belongs to this second context and aims to present, implement and apply a strategy to develop the optimal model for solving an assigned predictive problem. Specifically, a Machine Learning approach, a Feedforward Backpropagation Shallow Neural Network, was investigated. The objective was to correlate stiffness modulus, air voids and voids in the mineral aggregate to the mixture main composition’s parameters identified in: bitumen content, particle size and a categorical variable distinguishing the bitumen type and production site. Since the maximum aggregate size is 10 mm, the sieves considered were of 10, 6.3, 2, 0.5 and 0.063-mm diameters. The present study focused on 92 variants of asphalt concretes for very thin road pavement wearing layers produced both in plant and in laboratory. Despite the wide variation ranges of each parameter considered, the optimal model returns fully satisfactory performance. The overall Pearson correlation coefficient is equal to 0.9490, also by virtue of the innovative algorithms implemented as k-fold Cross-Validation (CV) and Bayesian Optimization (BO). These algorithms have allowed on the one hand the improvement of the model’s predictive performance making them more reliable and, on the other hand, the optimization of hyperparameters and architecture. The methodology developed can become an important reference in this field since it is independent from the specific predictive application. In this sense, it can help other researchers in the fine-tuning of neural models in the field of pavement

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Influence of New Normal Economy Towards for engineering Management

Influence of New Normal Economy Towards for Engineering Mana...

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第七届工程管理国际学术研讨会

作者： YijunWANG Daqi XU Li YANG Department.of Engineering and Architecture Anhui Polytechnic University

Under the background of new normal economy(NNC), construction industry should be obtained sustainable development, which needs to be constantly strengthened and renewed the concept of engineering management. For further study the influence of NNC on engineering management, the questionnaire composed of construction industry converts and engineering management concept and requires, were carried out by using anonymous methods in this paper. This study shows that the biggest change of construction industry is slowing down. The belt and road, new urbanization construction puts forward higher requirement to engineering management, and so on. The study results can reflect the influence of NNC to project management, and also provide reference for construction enterprise to further improve engineering management.

关键词： Construction industry New normal economy engineering management Project management Questionnaire investigation

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Monitoring-assisted derailment prediction of a high-speed train running on a long-span cable-stayed bridge 12

Monitoring-assisted derailment prediction of a high-speed tr...

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12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019

作者： Wang, Sumei Duan, Yuanfeng Yau, Jongda Ni, Yi-Qing Hong Kong Branch of National Rail Transit Electrification Automation Engineering Technology Research Center Department of Civil and Environmental Engineering Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong College of Civil Engineering and Architecture Zhejiang University Hangzhou China Department of Architecture Department of Civil Engineering Tamkang University New Taipei City Taiwan

ISBN: (纸本)9781605956015

In this study, a novel approach considering the dynamic interaction of train-bridge system based on the Vector Form Intrinsic Finite Element (VFIFE) method is proposed for evaluating the risk of derailment of a train traveling over a long-span cable-stayed bridge under crosswinds. Making use of the VFIFE method, the train and bridge systems can be discretized into a group of mass particles with massless stiffness elements and each mass particle satisfies the Newton's second law. The internal forces induced by pure deformations in the massless elements are calculated using the fictitious reverse motion method, by which the conventional updating, factorizing and inverse procedures for solving structural matrices of the train-bridge system are skipped. As a result, the equation of each mass particle can be solved individually. For evaluating potential derailment of a running train under crosswinds, the running safety factors including derailment factor, offload factor and lateral wheel-rail force have been obtained. In the case study, a two-phase plot with safety and derailment regions is configured for a train running on a cable-stayed bridge under crosswinds. Results show that the wind-induced vibration of the system may affect significantly the running safety of the train. When the time-varying parameters required are available from online and onboard monitoring systems, the proposed model can be executed to assess the derailment risk in a real-time manner. © 2019 by DEStech Publications, Inc. All rights reserved.

关键词： Railroads

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Tensile testing on hemp stems

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AIP Conference Proceedings 2022年第1期2425卷

作者： Antonio Formisano Antonio Davino Department of Structures for Engineering and Architecture School of Polytechnic and Basic Sciences University of Naples “Federico II” P. le V. Tecchio 80125 Naples Italy

Because of its considerable impact on the environment and in line with the increasing worldwide attention to sustainability, the building industry is consistently looking for recyclable components for civil engineering applications. Among the available natural fibres, hemp has been used in bricks, blocks, panels, plasters, coats and screeds, as well as in thermal and acoustic insulation components. The stems of the plant could be used as basic reinforcing materials for seismic retrofitting applications based on fiber-reinforced mortars. In line with these goals, in this paper the mechanical properties of whole hemp stems under tensile loading have been assessed. After having assembled a suitable anchoring system, the prepared samples have been subjected to tensile tests. The results revealed intrinsic capability of the prepared specimens to bear high tensile stresses, which legitimize a potential use of hemp stems in the construction industry by collaborating with the bearing structure.

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Energy balance of mechanically ventilated photovoltaic double skin façade: a case study in summer

Energy and Built Environment

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Energy and Built Environment 2025年

作者： Xingjiang Liu Jihong Pu Chao Shen Lin LU Ministry of Industry and Information Technology Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology School of Architecture and Design Harbin Institute of Technology Harbin 150000 China Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Hong Kong 999077 China

Mechanical ventilation (MV) represents a promising solution to enhance the performance of photovoltaic double skin façade, whereas the trade-off issue between fans-consumed energy ( E fan ) and extra energy benefit remains a critical consideration. This study aims to assess the feasibility of MV during summer and provide insights into its effectiveness. Experimental investigations were conducted to compare the performance under natural and mechanical ventilation. The results indicate that MV enhances airflow and reduces indoor heat gain across the façade area by 18.77%. However, the operation of fans introduces an additional electricity consumption of 10–15 W, partially offsetting the benefits of reduced heat gain. By summarizing the experiment results, an optimization framework of limiting E fan is proposed with four specific approaches, which are believed to reoptimize this trade-off issue and help achieve the feasibility of mechanical ventilation. As one of these four approaches, adjusting the cavity depth has been experimentally verified to improve the energy performance by about 4-7%. This finding partly validates the effectiveness of the proposed optimization framework. In summary, this study highlights the potential of MV in reducing indoor heat gain and suggests avenues for optimizing its energy balance to achieve net energy gain.

关键词： Photovoltaic double skin façade Comparison experiment Mechanical ventilation Building-integrated photovoltaic Solar energy

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Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories

arXiv

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arXiv 2022年

作者： Otberdout, Naima Ferrari, Claudio Daoudi, Mohamed Berretti, Stefano Del Bimbo, Alberto University Mohammed VI Polytechnic Rabat Morocco The Department of Architecture Engineering University of Parma Italy Univ. Lille CNRS Centrale Lille Institut Mines-Télécom UMR 9189 CRIStAL F-59000 Lille France and IMT Nord Europe Institut Mines-Télécom Univ. Lille Centre for Digital Systems LilleF-59000 France Univ. of Florence Italy

In this work, we address the problem of 4D facial expressions generation. This is usually addressed by animating a neutral 3D face to reach an expression peak, and then get back to the neutral state. In the real world though, people show more complex expressions, and switch from one expression to another. We thus propose a new model that generates transitions between different expressions, and synthesizes long and composed 4D expressions. This involves three sub-problems: (i) modeling the temporal dynamics of expressions, (ii) learning transitions between them, and (iii) deforming a generic mesh. We propose to encode the temporal evolution of expressions using the motion of a set of 3D landmarks, that we learn to generate by training a manifold-valued GAN (Motion3DGAN). To allow the generation of composed expressions, this model accepts two labels encoding the starting and the ending expressions. The final sequence of meshes is generated by a Sparse2Dense mesh Decoder (S2D-Dec) that maps the landmark displacements to a dense, per-vertex displacement of a known mesh topology. By explicitly working with motion trajectories, the model is totally independent from the identity. Extensive experiments on five public datasets show that our proposed approach brings significant improvements with respect to previous solutions, while retaining good generalization to unseen data. © 2022, CC BY.

关键词： Luminance

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Understanding subway passenger alighting and boarding dynamics: Experiments and modelling

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Chinese Physics B 2025年第6期34卷 068901-068901页

作者： Chenrui Xuan Yuxin Li Yu Wang Eric Wai Ming Lee Yi Ma Wei Xie Sichuan University-The Hong Kong Polytechnic University Institute for Disaster Management and Reconstruction Sichuan University Chengdu 610207 China College of Foreign Languages and Cultures Sichuan University Chengdu 610065 China Department of Architecture and Civil Engineering City University of Hong Kong Kowloon 999077 Hong Kong China

Efficiency and safety are paramount concerns for commuters, operators, and designers in subway stations. This study conducted controlled experiments and developed a modified force-based model to investigate the dynamics of pedestrian counterflow at bottlenecks, utilizing subway passenger alighting and boarding as a case study. Specifically, the efficiency and safety of three distinct movement modes: the cooperative mode (Coop), the combination of cooperative and competitive mode (C & C), and the competitive mode (Comp), were examined and compared. The experimental findings revealed that the C & C mode exhibited a clear lane formation phenomenon and demonstrated a higher flow rate than the Comp and Coop modes. This observation suggests that a combination of cooperative and competitive behaviors among pedestrians can positively enhance traffic efficiency and safety during the alighting and boarding process. In contrast, pedestrians exhibited increased detouring in their paths and more fluctuating trajectories in the Comp mode. Additionally, a questionnaire survey assessing the level of competition and cooperation among pedestrians provided a comprehensive analysis of the psychological dynamics of passengers during the alighting and boarding activities. Lastly, the proposed force-based model was calibrated and validated, demonstrating a good performance in accurately replicating the overall characteristics of the experimental process. Overall, this study offers valuable insights into enhancing the pedestrian traffic efficiency and safety within subway systems.

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ISO 14001 standard: Literature review and theory-based research agenda

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Quality Management Journal 2019年第1期26卷 32-64页

作者： Sartor, Marco Orzes, Guido Touboulic, Anne Culot, Giovanna Nassimbeni, Guido Polytechnic Department of Engineering and Architecture University of Udine Udine Italy Faculty of Science and Technology Free University of Bozen – Bolzano Bozen Italy Business School University of Nottingham Nottingham United Kingdom

Environmental sustainability has gained momentum in the business world and academia. After about 20 years of research in this field, this paper presents a holistic literature review specifically focused on ISO 14001, which is widely considered the most important environmental certification. The authors apply an antecedents-process-consequences framework to analyze systematically the scientific debate in this field. They identify six streams of ISO 14001 research, that is, drivers, barriers, tools and methods, impact on performances, enabling factors affecting adoption, and enabling factors affecting performances. The authors then summarize these research streams and highlight conflicting results and unexplored research areas. Finally, they propose a theory-based research agenda. 2019 American Society for Quality

关键词： Environmental sustainability ISO 14001 Systematic literature review

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Climate adaptability of building passive strategies to changing future urban climate: A review

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Nexus 2025年第2期2卷

作者： Pengyuan Shen Yu Li Xiaoni Gao Shuxing Chen Xue Cui Yi Zhang Xing Zheng Haida Tang Meilin Wang Institute of Future Human Habitats Shenzhen International Graduate School Tsinghua University Shenzhen China Harbin Institute of Technology Harbin China Harbin Institute of Technology Shenzhen China Department of Building and Real Estate Faculty of Construction and Environment The Hong Kong Polytechnic University Hong Kong China Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong SAR China School of Architecture and Urban Planning Shenzhen University Shenzhen China

Buildings contribute about one-third of global CO 2 emissions, yet the adaptability of building passive energy-saving strategies to the impacts of both global climate change (GCC) and urban heat island (UHI) remains understudied. We find that ∼55% of existing research focused on residential buildings and ∼70% on developed nations, indicating geographical and typological skew and potential gaps in related research for more diverse urban environments, especially for the Global South. While existing studies have shown GCC will change building thermal demands across climate zones, the coupled effects of GCC and UHI on building energy performance need to be further understood. The performance of passive architectural design strategies (building shape, floor plan, etc.) and emerging materials (thermochromic and phase-change materials, etc.) in future urban climate remain understudied. Future research priorities include developing integrated climate models to capture coupled GCC-UHI effects, optimizing passive design for future urban climate scenarios, and evaluating passive measures' feedback to urban climate in various urban contexts. Efforts are needed to establish evaluation methods for future urban climate, develop climate-specific design guidelines, and create climate-adaptive building standards that evolve with climate projections.

关键词： urban climate climate change urban heat island building energy use passive strategies climate adaptation

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Corrigendum to ‘Research on Lightweight Anomaly Detection of Multimedia Traffic in Edge Computing’ Computer & Security, 111(2021) 102463

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Computers & Security 2023年 125卷

作者： Xu Zhao Guangqiu Huang Jin Jiang Ling Gao Maozhen Li School of Management Xi'an University of Architecture & Technology Xi'an 710055 China School of Computer Science Xi'an Polytechnic University Xi'an 710048 China Department of Electronic and Electrical Engineering Brunel University London Uxbridge UB8 3PH UK School of Humanities Xi'an Polytechnic University Xi'an 710048 China

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