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SSRN 2023年

作者： Yang, Binyu Liang, Xuanwen Xu, Susu Wong, Man Sing Ma, Wei Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong Department of Architecture and Civil Engineering City University of Hong Kong Hong Kong Department of Civil Engineering Stony Brook University New York United States Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic University Hong Kong The Hong Kong Polytechnic University Shenzhen Research Institute Guangdong Shenzhen China Research Institute for Sustainable Urban Development The Hong Kong Polytechnic University Hong Kong

With the rapid development of smart cities, urban infrastructure systems produce massive data that reflect their real-time operational conditions. These data provide insights for system monitoring and operation, and many existing studies develop various machine learning methods to understand recurrent system conditions. However, the extreme operational conditions, which could cause system failures, are not well explored. Importantly, methods for the recurrent conditions may not be suitable for modeling the failures. To fill this gap, this paper proposes a novel task of failure prediction, which aims to predict system failures before they happen. To solve this task, a generalized model that integrates survival analysis and the temporal convolutional networks, which is called TCNSurv in this paper, is developed to predict the distribution of system failure time. The model mainly contains three components: a data processing module, a time series module, and a survival analysis module. Specifically, the time series module employs Temporal Convolutional Networks to enable the modeling of temporal dependencies in time series data, and the survival analysis module explicitly formulates the probability of system failures. The proposed model is validated on three real-world datasets: vibration, traffic, and electricity, and results show that the developed model outperforms state-of-the-art regression-based models, survival analysis-based models, as well as integrated models. The research outcomes could help to understand the failure patterns of urban infrastructure systems and to develop early warning systems for smart cities. © 2023, The Authors. All rights reserved.

关键词： Time series

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Predicting jet-grout column diameter to mitigate the environmental impact using an artificial intelligence algorithm

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Underground Space 2021年第3期6卷 267-280页

作者： Zhi-Feng Wang Wen-Chieh Cheng School of Highway Chang’an UniversityXi’an 710064China Department of Statistics Virginia Polytechnic Institute and State UniversityBlacksburg 24060United States School of Civil Engineering Xi’an University of Architecture and TechnologyXi’an 710055China Shaanxi Key Laboratory of Geotechnical and Underground Space Engineering(XAUAT) Xi’an 710055China

This paper describes an approach for predicting the diameter of a jet-grout column using the support vector regression(SVR)technique,which is regarded as a novel learning machine based upon recent advances in statistical theory,in which the combined effects of the construction(construction methods and jetting parameters)and soil properties(soil type and shearing resistance)are *** different kernel functions,namely,a linear kernel function,polynomial kernel function,radial basis kernel function,and sigmoid kernel function,are integrated into the SVR technique.A large amount of field measured data on the diameter of jet-grout column are retrieved from the published literature for training and testing *** results indicate that the SVR technique with a radial basis kernel function provides predictions closest to the measured results,whereas the prepared design charts enable the ability to significantly widen the application of the proposed approach to the areas of ground improvement and environmental protection.

关键词： Jet grouting Support vector regression Machine learning Radial basis function

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Effects of Polymer Structure on the Physicochemical and Performance-Related Properties of Sbs-Modified Asphalt Binders Subjected to Short-Term Aging

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SSRN 2023年

作者： Zhu, Xiaoxu Wang, Yuhong Miljković, Miomir Li, Ruiming Hao, Gengren Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong Faculty of Civil Engineering and Architecture University of Niš Serbia NUS Environmental Research Institute National University of Singapore Singapore

The effects of styrene-butadiene-styrene (SBS) polymer structure on the physicochemical and performance-related properties of modified asphalt binders were investigated, with the consideration of two other influencing factors: polymer content and aging condition. The factorial experimental design involves three types of SBS polymers (diblock, linear triblock and radial), two polymer content (3 and 6 %), and four aging conditions. The results indicate that binder properties are influenced by both the main effects and interaction effects of the three factors. Polymer structure is a predominant factor affecting polymer particle morphologies in the modified binders and storage stability. Polymer content is the leading factor for the polymeric characteristic peaks in infrared spectrum (IR), elasticity, elastic recovery, and non-recoverable creep compliance of the binders, while aging condition contributes to the majority of variations in the binder oxidization, complex shear modulus, and "rutting factor" in Superpave specification. To fully take the advantages of SBS polymer modification, the joint influences of polymer structure, content, and aging must be considered. The findings are expected to assist in material design, construction process control, and quality assurance testing of SBS-modified asphalt. © 2023, The Authors. All rights reserved.

关键词： Binders

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Investigation of the ionic curing effect and performance of modified nano-montmorillonite on river sludge pastes: Influence of sludge substitution and MNMt dosage

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Construction and Building Materials 2023年第1期403卷

作者： Shi, Peng Falliano, Devid Carlo Marano, Giuseppe Huang, Yujie Chen, Zhuorui He, Bingjian Department of Structural Building and Geotechnical Engineering Politecnico di Torino Corso Duca degli Abruzzi 24 Turin10129 Italy Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong China Tower Company Limited by shares Ganzhou Branch Ganzhou341600 China School of Civil Engineering & Architecture Wenzhou Polytechnic Wenzhou325035 China

The effect of replacing cementitious materials with different dosages of river sludge on the properties of the cement-slag binary-based geopolymer composites was investigated. The application of this research is the possibility of reusing river sludge into environment-friendly unburned bricks. The influence of nano-montmorillonite on the solidification of heavy metals in the matrix was also explored. Samples containing sludge were characterized by lower fluidity and compressive strength, but prolonged hardening time;at 60% replacement, the strength was equal to 8 MPa and the final setting time was 4.5 h. The sample including 0.4% NMt helps to improve strength thanks to its ability to partially fill the capillary pores and promote the degree of hydration. The pastes containing NMt have less dangerous heavy metals like Cu (II) and Cr (VI). The reaction products and the microstructure of the mixes with modified-NMt are exploited to understand the mechanisms at the basis of the findings. © 2023 Elsevier Ltd

关键词： Rivers

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Assessing Climatic Stress in Vegetation: A Statistical-Driven Approach to Predict Thermal "Degradation" Parameters via Passive Thermography

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Macromolecular Symposia 2024年第3期413卷 2300199-2300199页

作者： Ogut, Ozge De Finis, Rosa Tzortzi, Nerantzia Julia Lamanna, Giuseppe Bertolin, Chiara Department of Mechanical and Industrial Engineering Norwegian University of Science and Technology Richard Birkelands vei 2B 7034 Trondheim Norway Department of Architecture Built environment and Construction Engineering Polytechnic University of Milan Via Giuseppe Ponzio 31 20133 Milano Italy Department of Innovation Engineering University of Salento Via Lecce-Monteroni 73047 Lecce Italy Department of Engineering University of Campania "Luigi Vanvitelli" Via Roma 9 81031 Aversa Italy

Vertical green structures (VGS) increase green spaces in compact urban areas offering benefits as an improved thermal insulation of the building envelope, and a decrease of the Urban Heat Island effect. Efficient species selection and quantitative evaluation of species’ reaction to hygro-thermal variations are needed to optimize VGS benefits. This study proposes a novel methodology to discriminate the thermal behavior between healthy and unhealthy leaves under hygrothermal stress. To this aim, the surface temperature on region of interests (ROIs) of target leaves of the Heuchera villosa species is measured using passive thermography (pIRT). Besides, an additively manufactured leaf is used as a reference shape for assessing geometrical changes between healthy and unhealthy leaves. The thermal data analysis procedure extracts a vegetative health index based on the third-order centered momentum of thermal data distribution, encompassing temperature anomalies, and geometric variations. The study demonstrates high potential to be further extended to a data-driven approach to automatically and non-destructively detect the healthy and unhealthy status of vegetation in VGS by pIRT. The findings contribute to advancing understanding of vegetative responses to environmental stressors and provide insights for effective monitoring and management of VGS. © 2024 The Author(s). Macromolecular Symposia published by Wiley-VCH GmbH.

关键词： Thermography (imaging)

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Modeling of Influence of Shupe Effect on Fiber-Optic Goniometer with different coil winding types 3

Modeling of Influence of Shupe Effect on Fiber-Optic Goniome...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Ivanov, Sergiy Oliinyk, Pavlo Virchenko, Gennadii Vanin, Volodymyr Tereschuk, Mykola Research and Development Institute of Telecommunications National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Department of Descriptive Geometry Engineering and Computer Graphics Kyiv Ukraine National Technical University of Ukraine 'Igor Sikorsky Kyiv Polytechnic Institute' Faculty of Physics and Mathematics Kyiv Ukraine Kyiv National University of Construction and Architecture Department of Architectural Constructions Kyiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

One of key errors of the classic interference-type fiber-optic goniometer is the thermo-optical zero shift. Its caused by the non-uniform change of temperature of different fiber sections in the loop under the influence of temperature;as a result of that, counter-rotating waves get different phase incursions during stretching of fiber in the loop, thus creating thermo-optical zero shift (Shupe effect). Difference of the phase incursions of counter-rotating waves is the bigger the higher speed of fiber length change is, and the higher difference of delay time of those waves. The current study is focused on the modeling of influence of the Shupe effect on on the precision of the fiber optic goniometer. The key features of the goniometer mentioned are use of the copper coil carcass and compound with high thermal conductivity (use of nanotubes is desired). Different coil winding types (simple, dipole quadrupole, modified quadrupole, bifilar, octupole) are considered from the point of view of minimizing the thermo-optical zero shift under self-heating and influence of the ambient temperature changes. Analysis is based on the transient thermal analysis of finite element model of the goniometer performed in ANSYS environment with subsequent data import and integration of phase incursion, calculated based on temperature data, along the fiber length. Study results show that best results during self-heating gives the use of quadrupole winding, at that goniometer's zero shift changes insignificantly (about 0.08°, compared to 1,35° for the simple winding). Change of ambient temperature for a given design has almost no influence on the zero shift, as device is heated uniformly. One should note that as during modeling not all factors could be taken into account, the result obtained should be checked and qualified during FOG tests. © 2022 IEEE.

关键词： 3D modeling

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Letter from Editors-in-Chief

Journal of Infrastructure Intelligence and Resilience

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Journal of Infrastructure Intelligence and Resilience 2022年第1期1卷

作者： Luo, Yaozhi Faber, Michael Havbro Ni, Yi-Qing Smyth, Andrew W. College of Architecture and Civil Engineering Zhejiang University China Department of the Built Environment Aalborg University Denmark Department of Civil and Environmental Engineering The Hong Kong Polytechnic University China Department of Civil Engineering and Engineering Mechanics Columbia University United States

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交通基础设施智能化研究进展

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engineering 2023年第5期24卷 239-252,I0007页

作者： Yan-Liang Du Ting-Hua Yi Xiao-Jun Li Xiao-Li Rong Long-Jun Dong Da-Wei Wang Yang Gao Zhen Leng College of Civil and Transportation Engineering Shenzhen UniversityShenzhen 518061China School of Civil Engineering Dalian University of TechnologyDalian 116023China School of Civil and Transportation Engineering Beijing University of Civil Engineering and ArchitectureBeijing 102616China Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Resources and Safety Engineering Central South UniversityChangsha 410083China School of Transportation Science and Engineering Harbin Institute of TechnologyHarbin 150090China School of Safety Engineering and Emergency Management Shijiazhuang Tiedao UniversityShijiazhuang 050043China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China

受最新材料科学、计算机技术、人工智能和自动控制技术的启发,新一代交通基础设施正在走向数字化和智能化。世界上许多主要发达国家都在因地制宜,积极推动智能创新技术在交通基础设施中的应用。本文首先简要介绍了交通基础设施智能化的... 详细信息

受最新材料科学、计算机技术、人工智能和自动控制技术的启发,新一代交通基础设施正在走向数字化和智能化。世界上许多主要发达国家都在因地制宜,积极推动智能创新技术在交通基础设施中的应用。本文首先简要介绍了交通基础设施智能化的基本概念、科学依据和发展历程。然后,按照设计、施工、运维、淘汰的全生命周期链条,系统分析了智能化技术的研究现状和面临的主要挑战。随后,以世界上第一条基于智能建设理念建设的铁路——北京-张家口高铁为例,全面介绍了智能技术的最新成就。最后,从标准体系、理论方法和人才培养三个维度对交通基础设施智能化的未来发展进行了探讨。

关键词：交通基础设施自动控制技术人工智能计算机技术全生命周期智能技术智能化技术人才培养

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Analyzing factors influencing defect-based conditions for sewer pipes using Bayesian networks

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Reliability engineering and System Safety 2025年 262卷

作者： Ma, Shihui Zayed, Tarek Xing, Jiduo Ren, Zhihao Department of Building and Real Estate Faculty of Construction and Environment The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Architecture and Civil Engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Tong Hong Kong

The failure and condition of sewer pipes are usually influenced by various uncertainties and factors. Therefore, it is vital to evaluate the defect-based condition of sewer pipes for maintenance and failure prevention. In contrast to relying on the existing domain knowledge, this paper proposes a data-driven Bayesian network (BN) model to analyze the impacts of different influence factors (IFs) on the sewer pipes’ defect-based condition based on the developed database about the Hong Kong sewer network. Specifically, fourteen IFs are collected to develop a multi-source integrated database that incorporates pipe physical, environment, and climate-related factors. Then, the structure of the BN model is learned by Bayesian searching algorithm, and the reliability of the proposed model is evaluated using sensitivity analysis methods. Moreover, special scenarios are assumed to explore possible configurations of IFs. The results reveal that age, diameter, population and soil type are the top four IFs affecting the condition of sewer pipes, among which pipes with some characteristics need to be closely monitored, such as pipe age greater than 50 years, diameter less than 200 mm, location with a population density less than 15,000, and location in fill or granitic rocks. This paper improves sewer pipe management by integrating a comprehensive database and enabling reliable pipe condition inferences. The insights provide practical suggestions for the sewer pipe layout, risk analysis, and maintenance strategy formulation. It is a precious tool for authorities to enhance the safety and efficiency of sewer system management. © 2025 Elsevier Ltd

关键词： Risk assessment

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Damage risk assessment of building materials with moisture hysteresis 8

Damage risk assessment of building materials with moisture h...

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8th International Building Physics Conference, IBPC 2021

作者： Libralato, Michele de Angelis, Alessandra D'Agaro, Paola Cortella, Giovanni Qin, Menghao Rode, Carsten Polytechnic Department of Engineering and Architecture University of Udine via delle Scienze 206 Udine33100 Italy Department of Civil Engineering Technical University of Denmark Brovej Building 118 Kongens Lyngby DK-2800 Denmark

Heat and Moisture Transfer (HMT) simulations are used to evaluate moisture related damage risks in building envelopes. HMT simulations are commonly performed accepting the hypothesis of not considering the moisture hysteresis of materials. The results of HMT simulation of a timber wall with hysteresis are presented, and compared to the results of three simplified models, showing the effects of hysteresis on the simulation results and on the assessment of the risk of decay. Moisture content is the most influenced variable, while temperature and relative humidity are slightly affected. The wood decay risk analysis is performed using the simplified 20% moisture content rule. Similar temperature values and relative humidity values are calculated as simplified models, while the moisture content annual average values have differences up to 2.3%. The wood decay risk obtained with the simplified models could be overestimated if the simulation is performed using the desorption curve, while it could be underestimated with the adsorption curve. The best approximation is obtained with the mean sorption curve, while the desorption curve and the adsorption curve could be used to calculate the upper and lower boundary of the moisture contents respectively. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Hysteresis

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