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Journal of Infrastructure Intelligence and Resilience 2025年第2期4卷

作者： Cai, Kang Huang, Mingfeng Li, Qiang Wang, Qing Ni, Yi-Qing Institute of Structural Engineering College of Civil Engineering and Architecture Zhejiang University Hangzhou310058 China Center for Balance Architecture Zhejiang University Hangzhou310058 China Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hung Hom Kowloon China Hong Kong Branch of the National Engineering Research Center on Rail Transit Electrification and Automation Hung Hom Kowloon China School of Civil Engineering and Architecture Guangxi University Nanning530004 China School of Civil Engineering and Architecture Ningbo Tech University Ningbo315100 China Ningbo Research Institute Zhejiang University Ningbo315100 China Zhejiang Huadong Mapping and Engineering Safety Technology co. Ltd Hangzhou310014 China

This paper proposes a fractal-based technique for simulating multivariate nonstationary wind fields by the stochastic Weierstrass Mandelbrot function. Upon conducting a systematic fractal analysis, it was found that the structure function method is more suitable and reliable than the box counting method, variation method, and R/S analysis method for estimating the fractal dimension of the stochastic wind speed series. Wind field measurement at the meteorological gradient tower with a height of 356 m in Shenzhen was conducted during Typhoon Mandelbrot (1983). Significant non-stationary properties and fractal dimensions of typhoon wind speed data at various heights were analyzed and used to demonstrate the effectiveness of the proposed multivariate typhoon wind speed simulation method. The multivariate wind speed components simulated by the proposed fractal-based method are in good agreement with the measured records in terms of the fractal dimension, standard deviation, probability density function, wind spectrum and cross-correlation coefficient. © 2024 The Authors

关键词： Stochastic systems

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Quantifying the concentration and dispersion of carbon nanotube in cement nanocomposites via confocal Raman microspectroscopy

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Carbon 2025年 242卷

作者： Park, Jiseul Lee, Yangwoo Hwang, Hee-Young Hong, Sung-gul Poon, Chi-sun Moon, Juhyuk Department of Civil and Environmental Engineering Seoul National University Seoul08826 Korea Republic of Department of Civil and Environmental Engineering and Research Centre for Resources Engineering towards Carbon Neutrality The Hong Kong Polytechnic University Hong Kong 999077 China Department of Civil and Environmental Engineering Princeton University NJ08544 United States Department of Architecture and Architectural Engineering Seoul National University Seoul08826 Korea Republic of Institute of Construction and Environmental Engineering Seoul National University Seoul08826 Korea Republic of

Quantification of carbon nanotube (CNT) content in localized areas is crucial for quality assessment in scale-up applications of CNT/cement nanocomposites. However, the practical range (2 > 0.99) up to 0.5 wt%. For quantification above 0.5 wt%, the measurement conditions need to be adjusted because the dark color of CNTs can reduce the photon collection efficiency and laser-induced heating resulting in background shifts. The proposed method achieved high sensitivity with a detection limit below the lowest CNT dosage reported in literature without requiring destructive sample preparation. © 2025 Elsevier Ltd

关键词： Thermogravimetric analysis

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A GPR-based framework for assessing corrosivity of concrete structures using frequency domain approach

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Heliyon 2025年第4期11卷 e42641页

作者： Faris, Nour Khalil, Ahmed K. Abdelkareem, Mohamed A.A. Abdelkhalek, Sherif Fares, Ali Zayed, Tarek Alfalah, Ghasan Department of Building and Real Estate (BRE) Faculty of Construction and Environment (FCE) The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Mechanical Engineering Department Faculty of Engineering Helwan University Helwan Cairo Egypt Department of Mechanical Engineering The Hong Kong Polytechnic University Hong Kong Department of Architecture and Building Sciences King Saud University Riyadh Saudi Arabia

Ground-penetrating radar (GPR) is a prominent non-destructive testing (NDT) method for corrosivity evaluation in concrete structures. Most GPR interpretation methods rely solely on the absolute values of rebar reflection intensity, making them vulnerable to misinterpretation of the effects of complex factors. This study introduces a more comprehensive GPR data interpretation method, encompassing analysis in time and time-frequency domains. The developed method constitutes efficient GPR data collection and pre-processing, deep learning rebar recognition, and frequency domain analysis using the Short-Time Fourier Transform (STFT). The center frequency of rebar responses was normalized and depth-corrected to standardize the analysis method. The GPR condition mapping thresholds were optimized and validated using ground truth conditions from hammer tapping and reinforcement exposure of reinforced concrete walls. The method demonstrated superior performance compared to the traditional amplitude-based approach in detecting and quantifying the extent of corrosion-induced deterioration, with an average accuracy of 0.80 for active corrosion and 0.84 for active-corrosion with corrosion-induced delamination. © 2025 The Author(s)

关键词： Corrosion Ground penetrating radar Non-destructive testing Reinforced concrete structure Short-time fourier transform

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A hydrogen concentration evolution prediction method for hydrogen refueling station leakage based on the Informer model

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International Journal of Hydrogen Energy 2025年

作者： Wu, Qiulan Bi, Yubo Shi, Jihao Wang, Shilu Zhang, Chuntao Huang, Shenshi Gao, Wei Bi, Mingshu School of Chemical Engineering Dalian University of Technology Dalian116024 China China Automotive Engineering Research Institute Co. Ltd. Chongqing401122 China Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Kowloon Hong Kong School of Civil Engineering and Architecture Southwest University of Science and Technology Mianyang621010 China Shock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province Mianyang621010 China School of Architectural Engineering Shenzhen Polytechnic University Guangdong Shenzhen518000 China

The utilization of hydrogen energy contributes to the alleviation of energy crisis and environmental pollution. Hydrogen refueling stations are essential for hydrogen energy applications but operate under high-pressure storage, which increases the risk of hydrogen leakage. Safe use of hydrogen energy requires vigilance on leakage issues at refueling stations and implementation of practical monitoring and warning measures. This study focuses on predicting the evolution of hydrogen diffusion concentrations at refueling stations using deep learning, addressing the timeliness limitations of conventional gas concentration prediction methods. Therefore, we present H2-Informer, a model specifically designed for predicting the hydrogen diffusion process, built on the Informer architecture. Using sparse sensor concentration data along with wind speed, wind direction, and height information, H2-Informer predicts two-dimensional planar hydrogen diffusion distributions at multiple future time points, including the evolution of hydrogen diffusion at different heights. After hyperparameter tuning, the H2-Informer model achieves an R2 of 0.9775 and an MSE of 1.96 × 10−5, with an inference time of only 1.5 s. This significantly reduces prediction time compared to CFD simulation and meets real-time prediction requirements. Compared with the traditional Transformer model, the H2-Informer model predicts the hydrogen diffusion concentration distribution in the next 30 time steps with the R2 remaining above 0.9, which shows stronger fitting ability and shorter inference time in long series prediction. In summary, the H2-Informer prediction model is capable of quickly and accurately predicting the concentration evolution of hydrogen leak diffusion in hydrogen refueling stations. It helps the hydrogen refueling station to quickly take emergency measures in case of a leakage accident, and improves the safety management level of the station. © 2024 Hydrogen Energy Publications LLC

关键词： Hydrogen storage

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Geospatial analysis of neotectonics in the Jebel Gustar Mountain,northeastern Algeria

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Journal of Mountain Science 2025年第2期22卷 391-403页

作者： TAIB Hassan HADJI Riheb ZIGHMI Karim HAMED Younes GENTILUCCI Matteo BEDRI Khaoula Department of Geological Sciences Faculty of Earth SciencesGeography and Regional PlanningUniversitéFrères Mentouri-Constantine 1 BP325 Route d’Ain El Bey 25017ConstantineAlgeria Laboratory of Applied Research in Engineering Geology GeotechnicsWater Sciences and EnvironmentFerhat Abbas UniversitySetif 19137Algeria Department of Earth Sciences Institute of Architecture and Earth SciencesFerhat Abbas UniversitySetif 19137Algeria International Association of Water Resources in the Southern Mediterranean Basin Gafsa 2112Tunisia Department of Earth Sciences Faculty of Sciencesuniversity of GafsaCampus Universitaire Sidi Ahmed Zarroug–2112GafsaTunisia School of Science and Technology Geology DivisionUniversity of CamerinoVia Gentile III da Varano762032 Camerino MCItaly Mining Engineering Laboratory National Polytechnic School of Algiers10 Rue des Frères OUDEKEl Harrach 16200 AlgiersAlgeria

This research investigates dynamic earth processes within the South Setifian allochthonous ensemble,providing insights into landscape evolution and seismotectonic activity within the Tellian mountain *** on the Jebel Gustar and Kef Lahmar area,which includes 14 sub-basins,this research uses a DEM-based technique to assess Holocene activities,lineament characteristics,and stream *** geomorphic indices are used to assess relative active tectonics:the stream lengthgradient index(SL),drainage basin asymmetry(AF),valley-floor width to valley height ratio(VF),drainage basin shape(BS),and mountain front sinuosity(SMF).A weighted overlay of these five indices produces the Index of Relative Active Tectonics(IRAT)*** findings reveal significant neotectonic activity in the study area,supported by profound basement *** research highlights the morpho-structural processes and neotectonics activity in the Jebel Gustar,providing a framework for investigating the evolution of this ***,it enhances comprehension of the interactions between the alpine range's internal zones in Eastern Algeria and the Atlasic *** study proposes a systematic approach to evaluate the tectonic and geomorphological dynamics of the South Setif region.

关键词： Active tectonics Crustal deformation Holocene activities Geomorphic indices Neotectonic dynamics

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Inspection of lead aprons damage and evaluation of transmission rate with a ^99mTc point-source

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Nuclear engineering and Technology 2025年第10期57卷

作者： İpek Işıkcı, Nazenin Abuqbeitah, Mohammad Yeyin, Nami Akyol, Sinem Demir, Mustafa Department of Mechatronics Engineering İstanbul Nişantaşı University Faculty of Engineering and Architecture Istanbul Turkey Department of Nuclear Medicine İstanbul University-Cerrahpaşa Cerrahpaşa Faculty of Medicine Istanbul Turkey Palestine Polytechnic University College of Medicine and Health Sciences Hebron Palestine

The intent was to inspect the damage to lead aprons worn by radiation practitioners and experimentally measure the relative transmission rates for undamaged and damaged *** and X-ray scans were made for 281 lead aprons collected from various departments of a large-capacity hospital. Dose rate measurements were obtained using an ionization chamber detector and ^99mTc point source. The transmission rates of the undamaged and damaged aprons were calculated and statistically evaluated. Big tears and crack, besides unknown ones named type 1, type 2, type 3, and type 4. Only 14.5 % aprons were counted as damaged and 32 % were used in the operation room unit. The transmission rate of the undamaged aprons was determined as 50.88 %. The transmission rates calculated for Big tears, cracks, type 1, type 2, type 3, and type 4 damages were 91.30 %, 62.75 %, 53.22 %, 58.10 %, 57.88 %, and 55.54 %, respectively. The study revealed that aside from common damages like tears and cracks, various damages and defects may significantly affect radiation transmission. This is to conclude that periodic fluoroscopy and X-ray scans are essential to explore such invisible damages and enhance radiation protection among radiation workers. Future studies are recommended to investigate preventive measures for apron damage. © 2025 Korean Nuclear Society

关键词： 99mTc penetration Apron control Apron damages Radiation protection

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An Employability Skills Model for Built Environment Graduates: A Partial Least Squares Structural Equation Modeling Analysis

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International Journal of Construction Education and Research 2025年第1期21卷 74-93页

作者： Aliu, John Aghimien, Douglas Aigbavboa, Clinton Oke, Ayodeji Emmanuel Ebekozien, Andrew Institute for Resilient Infrastructure Systems College of Engineering University of Georgia Athens GA United States School of Art Design and Architecture Faculty of Arts Design and Humanities De Montfort University Leicester United Kingdom SARChi in Sustainable Construction Management and Leadership in the Built Environment Faculty of Engineering and the Built Environment University of Johannesburg Johannesburg South Africa Research Group on Sustainable Infrastructure Management Plus (RG-SIM+) Department of Quantity Surveying Federal University of Technology Akure Ondo Akure Nigeria CIDB Centre of Excellence Faculty of Engineering and Built Environment University of Johannesburg Auckland Park Gauteng South Africa School of Social Sciences Universiti Sains Malaysia Pulau Pinang Minden Malaysia Department of Quantity Surveying Auchi Polytechnic Edo Auchi Nigeria

This study presents a six-construct employability skills model for built environment graduates in the context of the Fourth Industrial Revolution (4IR). The model examines the influence of generic skills, discipline-specific skills, work-integrated learning, emotional intelligence, university-industry collaboration and 4IR knowledge on graduate employability. A mixed-method approach was employed, including the Delphi technique for qualitative analysis and a well-structured questionnaire for quantitative analysis. The findings highlight the significant impact of work-integrated learning on improved employability, while also revealing the direct influence of other exogenous variables. Notably, discipline-specific skills showed a weaker influence. This research contributes to the field by presenting a tailored employability skills model for built environment graduates, addressing the sector’s unique challenges in the 4IR era. The study also offers practical implications for stakeholders involved in employability skills development. Overall, this study provides a substantive contribution to the research area of engineering education and graduate employability in the context of 4IR. In an ever-evolving job market shaped by technological advancements, this study underscores the importance of equipping built environment graduates with a diverse set of skills and knowledge to thrive in the dynamic landscape of the 4IR. © 2024 Associated Schools of Construction.

关键词： Built environment construction education employability fourth industrial revolution higher education skills revolution

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Direct impact of climate change on groundwater levels in the Iberian Peninsula

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Science of the Total Environment 2025年 970卷 179009页

作者： Rouhani, Amir Ben-Salem, Nahed D'Oria, Marco Silva, Rafael Chávez García Viglione, Alberto Copty, Nadim K. Rode, Michael Barry, David Andrew Gómez-Hernández, J. Jaime Jomaa, Seifeddine Department of Aquatic Ecosystem Analysis and Management Helmholtz Centre for Environmental Research - UFZ Magdeburg Germany Department of Engineering and Architecture University of Parma Parma Italy Department of Environment Land and Infrastructure Engineering Polytechnic of Turin Turin Italy Institute of Environmental Sciences Boğaziçi University Istanbul Turkey Institute for Environmental Science and Geography University of Potsdam Potsdam Germany Lausanne Switzerland Institute of Water and Environmental Engineering Universitat Politècnica de València Valencia Spain

The Iberian Peninsula is a water-scarce region that is increasingly reliant on groundwater. Climate change is expected to exacerbate this situation due to projected irregular precipitation patterns and frequent droughts. Here, we utilised convolutional neural networks (CNNs) to assess the direct effect of climate change on groundwater levels, using monthly meteorological data and historical groundwater levels from 3829 wells. We considered temperature and antecedent cumulative precipitation over 3, 6, 12, 18, 24, and 36 months to account for the recharge time lag between precipitation and groundwater level changes. Based on CNNs performance, 92 location-specific models were retained for further analysis, representing wells spatially distributed throughout the peninsula. The CNNs were used to assess the influence of climate change on future groundwater levels, considering an ensemble of eight combinations of general and regional climate models under the RCP4.5 and RCP8.5 scenarios. Under RCP4.5, an average annual temperature increase of 1.7 °C and a 5.2 % decrease in annual precipitation will result in approximately 15 % of wells experiencing >1-m decline between the reference period [1986–2005] and the long-term period [2080–2100]. Under RCP8.5, with a 3.8 °C increase in temperature and a 20.2 % decrease in annual precipitation between the same time periods, 40 % of wells are expected to experience a water level drop of >1 m. Notably, for 72 % of the wells, temperature is the main driver, implying that evaporation has a greater impact on groundwater levels. Effective management strategies should be implemented to limit overexploitation of groundwater reserves and improve resilience to future climate changes. © 2025 The Authors

关键词： Water table depth Groundwater management Water scarcity Mediterranean Groundwater sustainability Convolutional neural networks

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Promoting sustainable water distribution networks: Modeling of water pipe failure factors and modes

Cleaner Engineering and Technology

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Cleaner engineering and Technology 2025年 26卷

作者： Taiwo, Ridwan Zayed, Tarek Elshaboury, Nehal Alfalah, Ghasan Abdelkader, Eslam Mohammed Department of Building and Real Estate The Hong Kong Polytechnic University Hung Hom Hong Kong Construction and Project Management Research Institute Housing and Building National Research Centre Giza Egypt Department of Architecture and Building Science College of Architecture and Planning King Saud University Riyadh 11362 Saudi Arabia Structural Engineering Department Faculty of Engineering Cairo University Giza 12613 Egypt

Water pipe failure significantly undermines the sustainability and resilience of water distribution networks (WDNs), leading to substantial environmental, economic, and social impacts. While previous studies have examined isolated failure factors, a comprehensive understanding of the interactions between multiple factors and their relationship with failure modes remains a critical research gap. This study addresses this gap by developing and validating an integrated framework that systematically categorizes thirty failure factors into four groups: pipe-related, operation-related, external-related, and soil-related factors. Through a global questionnaire-based survey and partial least square structural equation modeling (PLS-SEM), the study quantifies the relationships between these factors and five distinct failure modes. The results reveal that pipe age, diameter, and length are the most critical pipe-related factors;water alkalinity, leaks, and acidity dominate operation-related factors;temperature, precipitation, and frost are key external factors;and soil moisture, resistivity, and pH are crucial soil-related factors. The analysis establishes a significant relationship between failure factors and failure modes (β=0.567,p<0.05). This study provides a novel, statistically validated framework that captures the complex interactions between multiple factors and failure modes. Based on these findings, the study recommends that water utilities: (1) implement a risk-based maintenance strategy focusing on the identified critical factors, (2) develop integrated monitoring systems that track multiple failure factors simultaneously, and (3) adopt predictive maintenance approaches using the established factor-mode relationships. These recommendations provide water utilities with evidence-based strategies for infrastructure management, resource optimization, and failure prevention, ultimately contributing to enhanced WDN sustainability and resilience. © 2025 The Authors

关键词： Clean water Failure factors Failure modes PLS-SEM Structural model Sustainable infrastructure Water pipe failure

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An interactive DSS to improve decision-making in the (r,Q) policy

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IFAC-PapersOnLine 2019年第13期52卷 1438-1443页

作者： Molinaro, Margherita Romano, Pietro Battistutta, Marco da Re, Giulia Polytechnic Department of Engineering and Architecture University of Udine Udine Italy Polytechnic Department of Engineering and Architecture University of Udine Udine Italy Novalia Udine Italy Polytechnic Department of Engineering and Architecture University of Udine Udine Italy

This paper proposes a Decision Support System (DSS) to consistently improve decision-making in a (r,Q) policy-based inventory system. Although literature offers a wide selection of contributions on (r,Q) policy, a solution that provides a systemic way to set the related inventory parameters seems to be lacking. The purpose of this paper is to develop a DSS based on what-if analyses that aims to identify the most suitable balance between service level and inventory cost. The application of the DSS in a real case study shows the benefits of the proposed solution. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Decision making Decision support systems Inventory control Sensitivity analysis User interfaces Interactive user interfaces Performance evaluation Scenario analysis Sensitivity What if Analysis

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