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Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system dynamic model

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Frontiers of engineering Management 2021年第1期8卷 32-47页

作者： Yan ZHANG His-Hsien WEI Dong ZHAO Yilong HAN Jiayu CHEN Department of Architecture and Civil Engineering City University of Hong KongHong KongChina Department o f Building and Real Estate The Hong Kong Polytechnic UniversityHong KongChina School of Planning Design and ConstructionMichigan State UniversityEast LansingMI 48824USA Department of Construction Management and Real Estate School of Economics and ManagementTongji UniversityShanghai 200092China

Innovation and knowledge diffusion in megaprojects is one of the most complicated issues in project *** with conventional projects,megaprojects typically entail large-scale investments,long construction periods,and conflicting stakeholder interests,which result in a distinctive pattern of innovation ***,traditional investigation of innovation diffusion relies on subjective feedback from experts and frequently neglects inter-organizational knowledge creation,which frequently emerges in ***,this study adopted project network theory and modeled innovation diffusion in megaprojects as intra-and interorganizational learning *** addition,system dynamics and flizzy systems were combined to interpret experts9 subject options as quantitative coefficients of the project network *** integrated model will assist in developing an insightful understanding of the mechanisms of innovation diffusion in *** typical network structures,namely,a traditional megaproject procurement organization(TMO),the environ megaproject organization(EMO),and an integrated megaproject organization(IMO),were examined under six management scenarios to verify the proposed analytic *** of project network productivity suggested that the projectivity of the TMO was insensitive to technical and administrative innovations,the EMO could achieve substantial improvement from technical innovations,and the 1MO trended incompatibly with administrative ***,industry practitioners and project managers can design and reform agile project coordination by using the proposed quantitative model to encourage innovation adoption and reduce productivity loss at the start of newly established collaborations.

关键词： megaproject innovation adoption project network system dynamic fuzzy logic

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Constitutive relation of stiffened square CFST Columns 6

Constitutive relation of stiffened square CFST Columns

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6th International Conference on Hydraulic and Civil engineering, ICHCE 2020

作者： Xinzhi, Zheng Shuang, Zheng Yuanhong, Zhang Ecological Architecture and Environment Construction Henan Province Engineering Laboratory Henan Polytechnic University Jiaozuo Henan454000 China College of Civil Engineering Henan Polytechnic University Jiaozuo Henan454000 China Guangdong Tianwei Construction Co. LTD Guangzhou Guangdong510310 China School of Civil Engineering Tsinghua University Beijing100004 China Department of Architectural Engineering Tianjin University Renai College Tianjin301636 China Shanyang District Housing and Urban-Rural Development Bureau Jiaozuo Henan454150 China

Using the constitutive model of a square CFST column with binding bars, the constrained mechanism of the stiffened square CFST columns is analyzed in great detail. The equivalent constitutive model under uniaxial compression is established for square CFST columns. The model is then used to describe the stress-strain curve process for concrete and to calculate the bearing capacity. Models of ten concrete-filled square steel tubular columns under axial compression specimens are created with constitutive relation. The results are compared with the axial compression test of an ordinary square CFST specimen column and stiffened square CFST specimens. Our results show that the bearing capacity and stress-strain curves under axial compression are consistent with the actual test measurements. Analysis can be applied to the square stiffened CFST columns, the square CFST columns with binding bars, and the ordinary square CFST columns. © Published under licence by IOP Publishing Ltd.

关键词： Axial compression

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Geophysical Study: Estimation of Deposit Depth Using Gravimetric Data and Euler Method (Jalalabad Iron Mine, Kerman Province of IRAN)

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Open Journal of Geology 2021年第8期11卷 340-355页

作者： Adel Shirazy Aref Shirazi Hamed Nazerian Keyvan Khayer Ardeshir Hezarkhani Department of Mining Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran Department of Civil Engineering and Architecture University of Catania Catania Italy Faculty of Mining Petroleum & Geophysics Engineering Shahrood University of Technology Shahrood Iran Amirkabir University of Technology Tehran Iran

Mineral exploration is done by different methods. Geophysical and geochemical studies are two powerful tools in this field. In integrated studies, the results of each study are used to determine the location of the drilling boreholes. The purpose of this study is to use field geophysics to calculate the depth of mineral reserve. The study area is located 38 km from Zarand city called Jalalabad iron mine. In this study, gravimetric data were measured and mineral depth was calculated using the Euler method. 1314 readings have been performed in this area. The rocks of the region include volcanic and sedimentary. The source of the mineralization in the area is hydrothermal processes. After gravity measuring in the region, the data were corrected, then various methods such as anomalous map remaining in levels one and two, upward expansion, first and second-degree vertical derivatives, analytical method, and analytical signal were drawn, and finally, the depth of the deposit was estimated by Euler method. As a result, the depth of the mineral deposit was calculated to be between 20 and 30 meters on average.

关键词： Geophysical Study Depth Estimation Gravimetric Data Euler Method Jalalabad Iron Mine

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Investigating the Deviation between Prediction Accuracy Metrics and Control Performance Metrics in the Context of an Ice-Based Thermal Energy Storage System

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SSRN 2023年

作者： Wang, Xiao Liu, Xue Wang, Yanfang Kang, Xuyuan Geng, Ruoxi Li, Ao Xiao, Fu Zhang, Changhao Yan, Da Building Energy Research Center School of Architecture Tsinghua University Beijing100084 China State Grid Corporation of China China State Grid Digital Technology Holding CO. LTD. China Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Hong Kong

Extensive research on cooling load prediction has been conducted to improve the prediction accuracy. The existing studies mainly use statistical metrics to evaluate prediction accuracy. However, under these metrics, accurate cooling load prediction models do not always lead to better application performance of downstream control optimization. This study demonstrates the phenomenon in a real case of an ice-based thermal energy storage system. There are 180 cooling load prediction models from six different data-driven algorithms developed to test the prediction accuracy and control performance. Four prediction accuracy metrics are investigated, including mean absolute percentage error (MAPE), coefficient of variation of mean absolute error (CV-MAE), coefficient of variation of root mean squared error (CV-RMSE), and coefficient of variation of root weighted squared error (CV-RWSE). To quantitatively evaluate the deviation between prediction accuracy metrics and control performance metrics, the Spearman correlation coefficient is applied. The results show that the prediction model with the highest accuracy does not always lead to the best control performance, which indicates that it is crucial to customize prediction accuracy metrics for specific control problems. Spearman correlation coefficient can effectively evaluate the monotonicity and concentration between prediction accuracy and control performance, which can support better design of application-oriented prediction accuracy metrics and facilitate the interaction between cooling load prediction and control tasks. © 2023, The Authors. All rights reserved.

关键词： Ice

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Integration of critical state theory into a micromechanical model for granular materials accounting for fabric evolution

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Computers and Geotechnics 2025年 186卷

作者： Hai-Lin Wang Xiaoqiang Gu Zhen-Yu Yin Chao-Fa Zhao Department of Geotechnical Engineering College of Civil Engineering Tongji University Shanghai China Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China Department of Civil Engineering College of Civil Engineering and Architecture Zhejiang University Hangzhou China

In geotechnical engineering, the development of efficient and accurate constitutive models for granular soils is crucial. The micromechanical models have gained much attention for their capacity to account for particle-scale interactions and fabric anisotropy, while requiring far less computational resources compared to discrete element method. Various micromechanical models have been proposed in the literature, but none of them have been conclusively shown to agree with the critical state theory given theoretical proof, despite the authors described that their models “approximately” reach the critical state. This paper modifies the previous CHY micromechanical model that is compatible with the critical state theory based on the assumption that the microscopic force–dilatancy relationship should align with the macroscopic stress–dilatancy relationship. Moreover, under the framework of the CHY model, the fabric anisotropy can be easily considered and the anisotropic critical state can be achieved with the introduction of the fabric evolution law. The model is calibrated using drained and undrained triaxial experiments and the results show that the model reliably replicates the mechanical behaviors of granular materials under both drained and undrained conditions. The compatibility of the model with the critical state theory is verified at both macroscopic and microscopic scales.

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Genetic algorithm for calibration and leakage identification in water distribution system 3

Genetic algorithm for calibration and leakage identification...

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3rd IEEE International Conference on Knowledge Innovation and Invention, ICKII 2020

作者： Nicolini, Matteo Falcomer, Luca University of Udine Polytechnic Department of Engineering and Architecture Udine33100 Italy Idrostudi S.r.l. AREA Science Park Trieste34149 Italy

ISBN: (纸本)9781728193335

The paper introduces the development of a methodology for calibrating the simulation model of a water distribution system (WDS), based on a synergy between evolutionary algorithms (EAs) and the numerical modeling of WDSs. In particular, the implemented genetic algorithm (GA) allows the fine tuning, on one hand, of pipe roughness coefficients (depending on their material) and, on the other, of leakage characteristics (parameters and spatial distribution). A case study is also illustrated. © 2020 IEEE.

关键词： Genetic algorithms

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Approximations for the Nucleation Temperature of Water

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SSRN 2023年

作者： Skripov, Pavel Bar-Kohany, Tali Antonov, Dmitrii V. Strizhak, Pavel Aleksandrovich Sazhin, Sergei S. Institute of Thermal Physics Ural Branch of RAS Ekaterinburg Russia School of Mechanical Engineering Tel Aviv University Tel Aviv Israel Mechanical Engineering Department nrcn Israel Heat and Mass Transfer Laboratory National Research Tomsk Polytechnic University Lenin Avenue Tomsk634050 Russia Advanced Engineering Centre School of Architecture Technology and Engineering University of Brighton BrightonBN2 4GJ United Kingdom

The previously developed experimental methodologies for determining the nucleation temperatures of water at atmospheric pressure are critically reviewed. Particular attention is focused on the methodology, in which a special approach that regulates the details of the setup of the experiments and the procedure for translating primary data into required liquid temperatures at the onset of boiling is set out. It is pointed out that following the latter methodology, either partially or fully, leads to a prediction of higher nucleation temperatures of water at atmospheric pressure compared with most previous predictions of this temperature in the range of heating rates (T˙) 106 K/s to 109 K/s. New approximations for the nucleation temperature as a function of the heating rate are suggested in the ranges 102 K/s to 104 K/s and 106 K/s to 109 K/s, based on the amended and revised experimental data. These approximations are expected to have a wide range of applications including in the analysis of timing of puffing/micro-explosion in composite water/fuel droplets. © 2023, The Authors. All rights reserved.

关键词： Heating rate

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The “15-minutes station”: a case study to evaluate the pedestrian accessibility of railway transport in Southern Italy

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Transportation Research Procedia 2023年 69卷 536-543页

作者： Martina Fazio Fabio Borghetti Nadia Giuffrida Michela Le Pira Michela Longo Matteo Ignaccolo Giuseppe Inturri Roberto Maja University of Catania Department of Physics and Astronomy Via Santa Sofia 64 Catania 95125 Italy Politecnico di Milano Design Department Mobility and Transport Laboratory Via Candiani 72 Milano 20158 Italy Polytechnic University od Bari Via Edoardo Orabona 4 70126 Bari BA Italy University of Catania Department of Civil Engineering and Architecture Via Santa Sofia 64 Catania 95125 Italy Politecnico di Milano Department of Energy Via La Masa 36 Milano 20156 Italy University of Catania Department of Electrical Electronic and Computer Engineering Via Santa Sofia 64 Catania 95125 Italy

The recent sustainability challenges that our world is facing have raised, more than ever, the attention to the mobility of passengers and freight in the European and international agendas. The energy transition that has begun globally requires identifying and adopting safe, resilient, and increasingly sustainable mobility solutions. In this perspective, the modal split of passengers plays an essential role. One of the main encouraged policies is to promote an efficient mass rapid transit in urban and suburban areas. More in detail, when considering rail transport, it is necessary to analyze and evaluate the role of stations from at least two points of view: i) the ease of access to the station; ii) the opportunities that can be easily reached in its surroundings, following the concept of the “15-minutes” city. These two issues should be properly addressed to guarantee the role of railway stations as an access point to the transport system and an infrastructural element that can enhance a territory. Starting from these considerations, this research proposes a GIS-based methodology able to analyse railway stations from two points of view: i) walkability, considering the main functional characteristics of the transport network, and ii) impact on the territory, by identifying the services located in an area corresponding to “15-minutes” distances using active modes. For each railway station, the main activities in a 15-minute walking isochrone can be evaluated, both considering the walking distance on the pedestrian network and taking into account the current walkability of each link based on arc characteristics. This allows to study the accessibility of railway stations based on the current pedestrian network and the potential one with ideal characteristics. The method is applied to a case study located in Sicily (Italy), in the case of some urban stations. The final scope is to design a decision-support framework useful for railway station operators and local decisio

关键词： 15-minute city mass rapid transit sustainable mobility urban mobility GIS transport planning urban planning walkability Decision Support tool

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Dem Study on the Macro- and Micromechanical Behaviours of Breakable Granular Materials Under Cyclic Loading

SSRN

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SSRN 2022年

作者： Nie, Yuxing Gong, Jian Fang, Chuanfeng Chen, Zhibo Huang, Chuhan Department of Civil and Environmental Engineering The Hong Kong Polytechnic University 999077 Hong Kong College of Civil Engineering and Architecture Guangxi University Nanning530004 China School of Civil Engineering Central South University Changsha410075 China Zijin School of Geology and Mining Fuzhou University Fuzhou350108 China

The effect of cyclic loading on the macro- and micromechanical behaviours of breakable granular materials was investigated via DEM. Breakable particle models composed of Voronoi cells with realistic shapes were constructed. A series of confined cyclic loading tests were performed at different loading amplitudes. The macroscopic deformation behaviours were investigated in terms of the cumulative plastic strain and dynamic resilience modulus. Then, particle breakage characteristics, including the extent of particle breakage, crack orientation distribution, breakage pattern and correlation between the particle breakage and energy input, were explored. Furthermore, micromechanical results, including the coordination number, sliding contact and contact orientation anisotropy, were examined. We found that both particle breakage and cumulative plastic strain increase rapidly in the early stage of loading. In the stable state, both showed an S-shaped increase with increasing loading amplitude. This study highlights that particle breakage is one of the main sources of permanent deformation. © 2022, The Authors. All rights reserved.

关键词： Granular materials

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An Analytical Study of Optimal Spectral Characters of Solar Absorbing Coating and Thermal Performance Potential of Solar Power Tower

SSRN

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SSRN 2022年

作者： Wang, Qiliang Li, Guiqiang Pei, Gang Hu, Mingke Cao, Jingyu Yang, Hongxing Department of Building Services Engineering The Hong Kong Polytechnic University Hong Kong Department of Thermal Science and Energy Engineering University of Science and Technology of China Hefei230027 China Department of Architecture and Built Environment University of Nottingham University Park NottinghamNG7 2RD United Kingdom College of Civil Engineering Hunan University Changsha410082 China

The solar power tower (SPT) is one of the dominant applications of concentrating solar power technology. The tower receiver, as the core component of the SPT system, is responsible for solar absorption and conversion in virtue of the solar absorbing coating (SAC) deposited on the receiver surface. The SAC exerts crucial roles in the activity of the solar-thermal conversion process. However, the high nonuniformity of the solar flux and temperature distributions on the tower receiver, especially in the next-generation SPT system, challenges the rationality of the SAC in terms of spectral selectivity characters. To explore the optimal spectral characters and tradeoff of radiation properties of the SAC, a novel spectral heat transfer model of the tower receiver is established and verified. And the universal rules of the optimal cutoff wavelength of the ideal SAC varied with concentration ratios and temperatures are revealed. The results revealed the design principle for the advanced SAC used in the next-generation SPT should focus more on the thermal emittance. The thermal efficiency of the tower receiver with the ideal SAC coating reaches 0.97, which is significantly improved by 40.6 and 21.7% compared to the conventional tower receivers covered with black Pyromark and TaSi2 multilayer coatings. © 2022, The Authors. All rights reserved.

关键词： Solar energy

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