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A data-assisted physics-informed neural network(DA-PINN)for fretting fatigue lifetime prediction

International Journal of Mechanical System Dynamics 2024年第3期4卷 361-373页

作者： Can Wang Qiqi Xiao Zhikun Zhou Yongyu Yang Gregor Kosec Lihua Wang Magd Abdel Wahab Soete Laboratory Department of Electrical EnergyMetalsMechanical Constructions and SystemsFaculty of Engineering and ArchitectureGhent UniversityGentBelgium Department of Engineering Mechanics School of Aerospace EngineeringHuazhong University of Science and TechnologyWuhanChina Key Laboratory for Mechanics Anhui Polytechnic UniversityWuhuChina Parallel and Distributed Systems Laboratory Jožef Stefan InstituteLjubljanaSlovenia School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghaiChina College of Engineering Yuan Ze UniversityTaiwanChina

In this study,we present for the first time the application of physics-informed neural network(PINN)to fretting fatigue *** PINN has recently been applied to pure fatigue lifetime prediction,it has not yet been explored in the case of fretting *** propose a data-assisted PINN(DA-PINN)for predicting fretting fatigue crack initiation *** traditional PINN that solves partial differential equations for specific problems,DA-PINN combines experimental or numerical data with physics equations as part of the loss function to enhance prediction *** DA-PINN method,employed in this study,consists of two main ***,damage parameters are obtained from the finite element method by using critical plane method,which generates a data set used to train an artificial neural network(ANN)for predicting damage parameters in other ***,the predicted damage parameters are combined with the experimental parameters to form the input data set for the DA-PINN models,which predict fretting fatigue *** results demonstrate that DA-PINN outperforms ANN in terms of prediction accuracy and eliminates the need for high computational costs once the damage parameter data set is ***,the choice of loss-function methods in DA-PINN models plays a crucial role in determining its performance.

关键词： crack initiation data-assisted fretting fatigue finite element method physics-informed neural network

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An evaluation method for searching the functional relationships between property prices and influencing factors in the detected data

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International Journal of Business Intelligence and Data Mining 2022年第1期21卷 23-47页

作者： Morano, Pierluigi Tajani, Francesco Del Giudice, Vincenzo De Paola, Pierfrancesco Di Liddo, Felicia Department of Civil Engineering Sciences and Architecture Polytechnic University of Bari Via Orabona 4 Bari70125 Italy Department of Architecture and Design Sapienza University of Rome Via Flaminia 359 Rome00196 Italy Department of Industrial Engineering University of Naples ‘Federico II’ Piazzale V. Tecchio Naples80125 Italy

The economic crisis of the last decade, started from the real estate sector, has spread the awareness of the importance of the use of advanced evaluation models, as a support in the assessments and in the periodic value updates of public and private property assets. With reference to a sample of recently sold properties located in the city of Rome (Italy), an innovative automated valuation model is explained and applied. The outputs are represented by different mathematical expressions, able to interpret and to simulate the investigated phenomena (i.e. the market prices formation). The application carried out outlines, in the selection phase of the best model, the fundamental condition that the valuer must adequately know the reference market. In this way, it is possible to identify the existing patterns in the detected data in terms of mathematical expressions, according to the empirical knowledge of the economic phenomena. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Genetic algorithms

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Erosion resistance of treated dust soils based on the combined enzymatically induced carbonate precipitation and polyacrylic acid

Biogeotechnics

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Biogeotechnics 2023年第4期1卷 68-76页

作者： Hengxing Wang Junjie Wang Xiaohao Sun Linchang Miao Wenbo Shi Linyu WU Junhao Yuan Institute of Geotechnical Engineering Southeast UniversityNanjing 210096China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina School of Intelligent Transportation Xuchang UniversityXuchang 461000China School of Civil Engineering and Architecture Wuhan Polytechnic UniversityWuhan 430023China

The majority of cities worldwide are grappling with the challenge of dust ***,the application potential of enzymatically induced carbonate precipitation(EICP),a novel environmentally friendly method,for dust control has been convincingly ***,the long-term durability of EICP treatment is consistently a significant concern,particularly in regions prone to recurrent erosion caused by *** a result,the erosion durability of the EICP-treated dust soils requires further *** address this,Polyacrylic acid(PAA)was added to the cementation solution in this study as the combined PAA and EICP treatment for dust *** results showed that the addition of PAA slightly affected urea degradation;however,the combined PAA and EICP treatment significantly improved surface strength from 300 kPa to 500 kPa,especially for the wind-erosion resistance compared with the EICP treatment *** surface strength of samples treated with the combined PAA and EICP still exhibited a decrease due to repeated rainfall erosion,along with a reduction in calcium carbonate(CaCO_(3))***,the decreasing slopes of surface strength(k=13.434,14.002,or 14.186)in response to repeated rainfall for EICP-PAA-treated slopes were much smaller than those for EICP-treated samples(k=14.271),as well as the decreasing slopes of CaCO_(3)contents,which suggested the slopes with the combined treatment had significantly improved *** comparing the cementation effect and the influence of repeated rainfalls on treated dust samples,the EICP-PAA(50 g/L)treatment achieved better dust control ***,the combined treatment of EICP-PAA shows promising potential for effectively suppressing dust generation and enhancing erosion durability.

关键词： Dust control Enzymatically induced carbonate precipitation Erosion durability Polyacrylic acid Crust layer

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The use of green infrastructure and irrigation in the mitigation of urban heat in a desert city

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Building Simulation 2024年第5期17卷 679-694页

作者： Kai Gao Shamila Haddad Riccardo Paolini Jie Feng Muzahim Altheeb Abdulrahman AI Mogirah Abdullatif Bin Moammar Mattheos Santamouris School of Built Environment Faculty of ArtsDesign and ArchitectureUniversity of New South WalesSydneyNSW 2052Australia Royal Commission of Riyadh City RiyadhSaudi Arabia Institute of Future Cities Chinese University of Hong KongHong KongChina Department of Building Environment and Energy Engineering The Hong Kong Polytechnic UniversityHong KongChina

Severe urban heat,a prevalent climate change consequence,endangers city residents ***-based mitigation strategies are commonly employed to address this ***,the Middle East and North Africa are under investigated in terms of heat mitigation,despite being one of the regions most vulnerable to climate *** study assesses the feasibility and climatic implications of wide-scale implementation of green infrastructure(GI)for heat mitigation in Riyadh,Saudi Arabia—a representative desert city characterized by low vegetation coverage,severe summer heat,and *** research forecasting model(WRF)is used to simulate GI cooling measures in Riyadh’s summer condition,including measures of increasing vegetation coverage up to 60%,considering irrigation and vegetation types(tall/short).In Riyadh,without irrigation,increasing GI fails to cool the city and can even lead to warming(0.1 to 0.3℃).Despite irrigation,Riyadh’s overall GI cooling effect is 50% lower than GI cooling expectations based on literature meta-analyses,in terms of average peak hour temperature *** study highlights that increased irrigation substantially raises the rate of direct soil evaporation,reducing the proportion of irrigation water used for transpiration and thus diminishing ***,water resource management must be tailored to these specific considerations.

关键词： green infrastructure evapotranspiration cooling desert city irrigation urban overheating

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The Verification of the Financial Feasibility of a Former School Reuse Intervention in a Small Town in South Italy

The Verification of the Financial Feasibility of a Former Sc...

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International Symposium on Networks, Markets and People, NMP 2024

作者： Morano, Pierluigi Di Liddo, Felicia Tajani, Francesco Anelli, Debora Department of Civil Environmental Land Building Engineering and Chemistry Polytechnic University of Bari Via Orabona 4 Bari70126 Italy Department of Architecture and Design Sapienza University of Rome Via Flaminia 359 Rome00196 Italy

ISBN: (纸本)9783031746789

Within the current issue related to the redevelopment of educational buildings, in the present research a case study concerning the reuse intervention of a former school is illustrated. By assuming the implementation of a Public Private Partnership procedure, the financial feasibility of the initiative (i.e. from the private investor point of view) is verified through the development of the Discounted Cash Flow Analysis. The paper intends to highlight the relevance of carrying out targeted interventions on this asset typology, in order to define effective strategies of functional reconversion and/or renovation of the existing public properties, due to their attested growing obsolescence state and their needs for greater security and energy efficiency. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Obsolescence

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Overview and Prospects of IT Education in Ukrainian Universities 4

Overview and Prospects of IT Education in Ukrainian Universi...

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4th IEEE International Conference on Smart Information Systems and Technologies, SIST 2024

作者： Yudicheva, Olha Romanenko, Olesia Bondar-Pidhurska, Oksana Alaverdian, Liudmyla Glebova, Alla Khlaponin, Yurii Department of Commodity Science and Commercial Activity in Construction Kyiv National University of Construction and Architecture Kyiv Ukraine Department of Management Poltava University of Economics and Trade Poltava Ukraine Department of Management and Logistics National University «Yuri Kondratyuk Poltava Polytechnic» Poltava Ukraine Department of Cybersecurity and Computer Engineering Kyiv National University of Construction and Architecture Kyiv Ukraine

ISBN: (纸本)9798350374865

The general goals of the political program of the digital decade until 2030 and the possibilities of their adaptation to the conditions of Ukraine are analyzed. Based on an analysis of global experience, the prospects for the development of IT education in Ukrainian universities have been identified. The object of the research was the activity of state and private universities in Ukraine. The world models of professional development for the IT education sphere were summarized, and the expediency of their innovative application in Ukraine was emphasized. The most significant challenges in the Ukrainian IT education system were identified (the need to improve cooperation between academia and industry, the introduction of dual education, and overcoming legislative obstacles). It was noted that the problems faced by educational systems in other countries are similar. This created the basis for solving these problems in the Ukrainian context based on the application of world experience. It is emphasized that a unique context-specific solution to the above-mentioned problems can be the strengthening of the specialized component of educational programs of Ukrainian universities in IT education, which are focused on its final product. It is recommended to strengthen their specialization and to form expert knowledge in each individual direction. © 2024 IEEE.

关键词： digitalization dual education IT Education IT industry IT professionals Ukrainian Universities (UU)

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Study on Transient Gap Resonance with Consideration of the Motion of Floating Body

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China Ocean engineering 2022年第6期36卷 994-1006页

作者： GAO Jun-liang LYU Jing WANG Jing-hua ZHANG Jian LIU Qian ZANG Jun ZOU Tao School of Naval Architecture and Ocean Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China Key Laboratory of Port Waterway and Sedimentation Engineering of MOTNanjing Hydraulic Research InstituteNanjing 210029China Department of Civil and Environmental Engineering the Hong Kong Polytechnic UniversityHong KongChina Centre for Infrastructure Geotechnical and Water Engineering(IGWE)Department of Architecture and Civil EngineeringUniversity of BathBA27AYU.K Shandong Provincial Key Laboratory of Ocean Engineering Qingdao 266100China

In this paper, the transient fluid resonance phenomenon inside a narrow gap between two adjacent boxes excited by the incident focused waves with various spectral peak periods and focused wave amplitudes is simulated by utilizing the open-sourced computational fluid dynamics software, Open FOAM. The weather-side box is allowed to heave freely under the action of waves, and the lee-side box keeps fixed. This paper mainly focuses on how both the spectral peak period and the focused wave amplitude affect the free-surface amplification inside the gap, the motion of the weather-side box, and the wave loads(including the vertical and the horizontal wave forces) acting on both *** comparison, another two-box system with both boxes fixed is also considered as a control group. It is found that the motion of the weather-side box significantly changes the characteristics of the transient gap resonance, and it would cause that the fluid resonant period becomes 1.4-1.6 times that of the two-box system with both boxes *** the concerned physical quantities(i.e., the free-surface amplification in the gap, the motion of the weather-side box, the wave loads) are found to closely depend on both the spectral peak period and the focused wave amplitude.

关键词： transient gap resonance focused waves free-surface amplification wave loads heave motion OpenFOAM

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Geodetector-based analysis of spatial variation and drivers in urban scale 5

Geodetector-based analysis of spatial variation and drivers ...

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5th International Conference on Geoscience and Remote Sensing Mapping, ICGRSM 2023

作者： Yuan, Shuai Yu, Shuosong School of Geomatics and Urban Spatial Information Beijing University of Civil Engineering and Architecture Beijing100044 China Department of Land Surveying and Geo-Informatics Hong Kong Polytechnic University 100872 Hong Kong

ISBN: (纸本)9781510672789

This paper addresses the current research gap regarding the morphological characteristics of urban agglomerations and the influence of multiple driving forces on building features at different scales. In the field of urban spatial analysis, there exists a significant scale dependency in the relationship between urban building changes and their driving factors. The driving forces identified at one scale may not necessarily apply to other scales in terms of urban spatial characteristic changes. To fill this research gap, a combined analysis of urban spatial characteristics and driving factors is proposed. By employing the geodetector model, this study investigates the patterns and mechanisms of multi-scale driving forces in urban spatial changes. The findings contribute to a better understanding of the process and mechanisms of urban spatial pattern changes, facilitating a more accurate comprehension of the patterns of regional urban spatial changes and enabling the rational and sustainable utilization of urban land resources. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Spatial variables measurement

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Rethinking building envelope design: Machine learning approaches to evaluate its impact on indoor ozone exposures

Rethinking building envelope design: Machine learning approa...

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2023 International Conference on the Built Environment in Transition, CISBAT 2023

作者： Ma, N. Zhang, Q. Braham, W.W. Department of Civil Environmental & Architectural Engineering Worcester Polytechnic Institute WorcesterMA01609 United States College of Architecture and Urban Planning Tongji University Shanghai200092 China Department of Architecture University of Pennsylvania PhiladelphiaPA19104 United States

Ozone is widely recognized as an ambient air contaminant that causes acute and chronic health effects. However, there is a limited number of studies investigating indoor exposures to ozone in occupied houses and linking design variables to the predictive power of indoor ozone levels. This study focuses on typical envelope airflow paths used in residences in the Philadelphia area in the United States. The model development draws from the field data, including indoor and outdoor ozone concentration, environmental parameters, and building characteristics from four building envelopes. Five machine learning algorithms (i.e., support vector machine, lasso regression, random forest, Bayesian bridge regression, and gradient boosting) are employed, with indoor ozone concentration as the dependent variable, as it indicates how the hot and sunny weather that might lead to the possibility of indoor air quality (IAQ) alerts due to ozone. The results showed that gradient boosting model based on all field measurements had the highest R-squared value of 0.974 and low enough root mean square error (RMSE) and mean absolute error (MAE) which are 1.182 and 0.788, respectively. We conclude that indoor ozone forecasting model based on inputting environmental survey (ES) in addition to either design variables or indoor environment characteristics can effectively predict and can therefore be used at the building design phase to improve healthy living environments. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Ozone

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Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”: 5 December 2023, Okayama Convention Center, Okayama, Japan

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Georisk 2024年第1期18卷 304-313页

作者： Leung, Andy Y.F. Phoon, Kok-Kwang Xiao, Te Shuku, Takayuki Ching, Jianye Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong Information Systems Technology and Design/Architecture and Sustainable Design Singapore University of Technology and Design Singapore Singapore Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology Hong Kong Okayama University Okayama Japan Department of Civil Engineering National Taiwan University Taipei Taiwan

The ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment Management Committee Fourth Machine Learning (ML) in Geotechnics Dialogue was held at the Okayama Convention Center on 5 December 2023. The dialogue focused on “machine learning supremacy projects”, which involve the use of novel ML techniques to analyse emerging data, potentially bringing disruptive value to transform research and practice. The discussions centred around four real-world projects covering tunnelling, pile foundations, and geophysical investigation, to showcase the latest developments and implementations of ML, exchange views on the associated technical and non-technical challenges, and explore further developments to transform practice on a broader scale. These projects highlight the need for efficient ML techniques to analyse large volumes of real-time data for 3D heterogeneous soil/rock domains, and the benefits of standardising data formats among practitioners and researchers. Meanwhile, as data become valuable assets, there is a need to establish guidelines or protocols to protect data privacy and ensure data trustworthiness while creating incentives for owners to share data. Several recommendations include (1) creating benchmark examples using real data and Class A prediction (i.e. prediction made before the event) exercises from real projects to accelerate research in ML methods and (2) involving regulators in future dialogue and exploring the incorporation of data-driven approaches in design codes to complement traditional methods. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Big data data-centric geotechnics digital transformation emerging data machine learning supremacy projects

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