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Study of interfacial transition zones between magnesium phosphate cement and Portland cement concrete pavement

Journal of Traffic and Transportation engineering(English Edition) 2024年第3期11卷 523-537页

作者： Fei Liu Baofeng Pan Changjun Zhou Ge Li Xiaocun Wang Jiaquan Li Faculty of Infrastructure Engineering Dalian University of TechnologyDalian 116024China Tongren City Transportation Bureau Tongren 554300China Beijing Civil Aviation Design and Research Institute of China Design Group Beijing 101318China

The Portland cement concrete pavement(PCCP)often suffers from different environmental distresses and vehicle load failure,resulting in slab corner fractures,potholes,and other *** repair has become one of the effective ways to open traffic *** this study,a novel type of rapid repair material,basalt fiber reinforced polymer modified magnesium phosphate cement(BFPMPC),is used to rapidly repair ***,the mechanical properties and characteristics of the repair interfaces which are named interfacial transition zones(ITZs)formed by BFPMPC and cement concrete are focused on as a decisive factor for the performance of the rapid *** changing trend of the elastic moduli was studied by nanoindentation experiments in the ITZs with the deconvolution analysis that the elastic moduli of certain kinds of substances can be *** experimental results show that the elastic modulus of ITZ-1 with a width of about20μm can be regarded as 0.098 times of the aggregate,and 0.51 times of the ordinary Portland cement(OPC)*** BFPMPC-OPC mortar ITZ has roughly the same mechanical properties as the ITZ between aggregate and BFPMPC.A multi-scale representative two-dimensional model was established by random aggregate and a two-dimensional extended finite element method(XFEM)to study the mechanical properties of the repair *** simulation results show that the ITZ formed by the interface of BFPMPC and OPC mortar and basalt aggregate is the most vulnerable to failure,which is consistent with the nano-indentation experimental results.

关键词： Portland cement concrete pavement Interfacial transition zone Magnesium phosphate cement Repair interface Nanoindentation Mechanical properties and characteristics

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Global sensitivity analysis of super high-rise structures under multi-hazards of earthquake and wind using polynomial chaos Kriging

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Earthquake engineering and engineering Vibration 2025年第2期24卷 395-411页

作者： Liu Canhua Li Hongnan Li Chao State Labrary of Coastal and Offshore Engineering Faculty of Infrastructure EngineeringDalian University of TechnologyDalian 116024China School of Civil Engineering Shenyang Jianzhu UniversityShenyang 110168China

Economic losses and catastrophic casualties may occur once super high-rise structures are struck by low-probability but high-consequence scenarios of concurrent earthquakes and winds. Therefore, accurately predicting multi-hazard dynamic responses to super high-rise structures has significant engineering and scientific value. This study performed a parametric global sensitivity analysis (GSA) for multi-hazard dynamic response prediction of super high-rise structures using the multiple-degree-of-freedom shear (MFS) model. Polynomial chaos Kriging (PCK) was introduced to build a surrogate model that allowed GSA to be combined with Sobol’ indices. Monte Carlo simulation (MCS) is also conducted for the comparison to verify the accuracy and efficiency of the PCK method. Parametric sensitivity analysis is performed for a wide range of aleatory uncertainty (intensities of coupled multi-hazard), epistemic uncertainty (bending stiffness, k_(m);shear stiffness, kq;density, ρ;and damping ratio, ξ), probability distribution types, and coefficients of variation. The results indicate that epistemic uncertainty parameters, k_(m), ρ, and ξ dramatically affect the multi-hazard dynamic responses of super high-rise structures;in addition, Sobol’ indices between the normal and lognormal distributions are insignificant, while the variation levels have remarkably influenced the sensitivity indices.

关键词： Sobol’indices sensitivity analysis dynamic-rising structures multi-hazard polynomial chaos Kriging

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Estimation of dam piezometric water level using new hybrid intelligent models for dam safety assessment

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International Journal of Energy and Water Resources 2024年第4期8卷 461-473页

作者： Ziggah, Y.Y. Issaka, Y. Department of Geomatic Engineering Faculty of Geosciences and Environmental Studies University of Mines and Technology Tarkwa Ghana School of Railways and Infrastructure Development University of Mines and Technology Essikado Sekondi‑Takoradi Ghana

The piezometric water level is a significant factor in seepage analysis for identifying and maintaining the stability of engineering structures like dams. Hence, unattended monitoring of the piezometric water level can lead to enormous disasters. To this end, this paper integrates the genetic optimisation algorithm (GA) with two artificial intelligence methods, including an emotional neural network (ENN) and an adaptive neuro-fuzzy inference system (ANFIS), to predict piezometric water level for three different piezometers located on the dam. In the study, the GA was used to evolve the initial weights and bias of the ENN and ANFIS to minimise their respective prediction errors. The prediction efficiency of the developed hybrid GA-ENN and GA-ANFIS models was compared with the artificial neural network (ANN), GA-ANN and ANFIS, respectively. The experimental results implied that GA-ENN and GA-ANFIS models demonstrated no absolute superiority between them but were superior to ANN, GA-ANN and ANFIS. This was evidenced by their excellent prediction accuracy for the three piezometers considered in terms of the root mean square error (RMSE), mean absolute error (MAE), maximum absolute relative error (errMax), scatter index (SI), correlation coefficient (R) and variance accounted factor (VAF). Thus, GA-ENN and GA-ANFIS had RMSE, MAE, errMax, SI, R and VAF in the range [3.01 × 10^–08, 1.06 × 10^–05], [2.60 × 10^–08, 9.66 × 10^–06], [-8.72 × 10^–07, 1.26 × 10^–05], [1.85 × 10^–10, 6.49 × 10^–08], [0.99999, 1] and [99.9999%, 100%], respectively. This study provides viable alternative models for dam engineers, engineering surveyors and allied professionals when predicting dam piezometric water level for seepage analysis. © The Author(s), under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University 2023.

关键词： Artificial intelligence Bio-inspired optimisation algorithm Dam deformation Seepage analysis

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Life-cycle failure probability analysis of deteriorated RC bridges under multiple hazards of earthquakes and strong winds

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Earthquake engineering and engineering Vibration 2022年第3期21卷 811-823页

作者： Zheng Xiaowei Li Hongnan Jiangsu Key Laboratory of Environmental Impact and Structural Safety in Engineering School of Mechanics and Civil EngineeringChina University of Mining and TechnologyXuzhou 221116China State Lab.of Coastal and Offshore Engineering Faculty of Infrastructure EngineeringDalian University of TechnologyDalian 116024China

engineering structures may be exposed to one or more extreme hazards during their *** structural design specifications usually treat multiple hazards separately in designing structures and there is a limited probabilistic basis on extreme load ***,the performance of engineering structures will be deteriorated by the aggressive environments during their service periods,such as chloride attack,concrete carbonation,and wind-induced *** study presents a probabilistic methodology to assess the time-dependent failure probability of RC bridges with chloride-induced corrosion under the multiple hazards of earthquakes and strong *** loss of cross-section area of reinforcements and the reduction in strength of reinforcing steel and concrete cover induced by the chloride attack are ***,the Poisson model is employed to obtain the occurrence probabilities of the individual and concurrent earthquake and strong wind *** convolution integral is used to determine the joint probability distribution of combined load effects under simultaneous earthquakes and strong *** results indicate that the structural failure probability under multiple hazards increases significantly during the bridge′s life-cycle due to the chloride corrosion *** contribution of each hazard event on the total structural failure probability varies with ***,neglecting the combined influences of multiple hazards and chloride-induced corrosion may bring erroneous predictions in failure probability estimates of RC bridges.

关键词： life-cycle multihazard chloride occurrence model failure probability

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Effectiveness of generative adversarial networks in denoising medical imaging (CT/MRI images)

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Multimedia Tools and Applications 2024年 1-25页

作者： Ramadass, Sudhir Narayanan, Sreekumar Kumar, Rajiv K, Thilagavathi Data Analytics Sterck Systems Private Limited Chennai Nungambakkam India Network and Infrastructure Management Faculty of Engineering and Technology Botho University Gaborone Botswana School of Computer Science Engineering and Technology Bennett University Uttar Pradesh Greater Noida India Department of Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India

For clinical analysis or medical intrusion, imaging technology is a potent tool for producing visual images of a body's inside. However, several existing methods include restricted access to high-quality and diverse datasets, overfitting, a lack of interpretability, high computational costs, varying medical imaging data, and ethical issues concerning patient privacy, consent, and bias. To overcome these issues, the effectiveness of generative adversarial networks in denoising medical imaging (CT/MRI images) is proposed. The input CT images are first gathered and preprocessed to reduce undesired noise using Altered Phase Preserving Dynamic Range Compression (APPDRC). The General Adversarial Network (GAN) is then given these preprocessed images to cope with the noisy areas of CT/MRI while also complying with maintaining image structures such as boundary details while preventing over-smoothing, and the weight parameters for the GAN are optimized using the Golden Eagle Optimization (GEO) technique. General Adversarial Network (GAN) has piqued the interest of academics studying medical image-denoising mechanisms and developing sophisticated medical image-denoising algorithms based on deep learning. In light of reducing the difficulty in feature learning and improving final diagnosis accuracy, data preprocessing is necessary and crucial in gan-based medical image denoising methods. This work focuses on GAN-based effective denoising approaches in CT/MRI. The potential challenges and research objectives are in the context of data preprocessing in medical image denoising. Because of how CT/MRI images are acquired, it was observed that noise in CT/MRI data follows the distribution. Generative Adversarial Networks (GANs) for denoising medical imaging, mainly CT and MRI images, have yielded promising results of 99% accuracy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Generative adversarial networks

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Estimation of aquifer transmissivity at Gushiegu and Karaga districts of Northern Ghana using Dar-Zarrouk parameters

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International Journal of Energy and Water Resources 2024年第1期8卷 55-71页

作者： Ewusi, A. Attobrah, B.N. Seidu, J. Department of Geological Engineering Faculty of Geosciences and Environmental Studies University of Mines and Technology (UMaT) Tarkwa Ghana School of Railways and Infrastructure Development University of Mines and Technology (UMaT) Essikado Sekondi-Takoradi Ghana

The main source of drinking water in Ghana's Northern Region is groundwater from boreholes and hand-dug wells. Over the years, several drilling projects have been conducted within the region which is focused on increasing the yield of boreholes. However, a number of these projects have resulted in low success rates, which may be attributed to the application of inefficient geophysical techniques. The objective of the present study is to estimate aquifer transmissivity from Dar-Zarrouk parameters that were derived from electrical resistivity data in the Gushiegu and Karaga districts of Northern Region, Ghana. A total of 40 vertical electrical sounding (VES) data were used to estimate the aquifer transmissivity in the study area. The field data obtained from the vertical electrical sounding were analyzed qualitatively and quantitatively using IPI2WIN software to determine the subsurface information such as layer thicknesses and depths. Based on the results, the study area is characterized by five major curve types which include simple H-type, HA-type, HK-type, QH-type and QHK-type curve types. The transmissivity and hydraulic conductivity in the area vary between 0.057 and 15.285 m/day, and 0.01 and 3.95 m²/day, respectively. Additionally, the Dar-Zarrouk parameters suggest that longitudinal conductance ranges from 0.0786 to 4.0374 Ω⁻¹ and the transverse resistance ranges from 230.1516 to 30,913.6550 Ω-m². It was also revealed that the effective resistivity ranges from 86.02 to 18,633.80 Ωm. Ultimately, in this study, geophysics has been used as a tool to improve the success rate of drilling sustainable boreholes. In areas where hydrogeological data are readily not available, the method used in this research can be employed because it is cost-effective. © The Author(s), under exclusive licence to Iranian Society of Environmentalists (IRSEN) and Science and Research Branch, Islamic Azad University 2023.

关键词： Dar-Zarrouk parameters Electrical resistivity Groundwater Transmissivity Vertical electrical sounding

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A Stable Fuzzy-Based Computational Model and Control for Inductions Motors

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Computer Modeling in engineering & Sciences 2024年第1期138卷 793-812页

作者： Yongqiu Liu Shaohui Zhong Nasreen Kausar Chunwei Zhang Ardashir Mohammadzadeh Dragan Pamucar School of Mechanical and Electrical Engineering Guangdong University of Science&TechnologyDongguan523083China School of Information Hunan Open UniversityChangsha410081China Department of Mathematics Faculty of Arts and SciencesYildiz Technical UniversityEsenlerIstanbul34220Turkey Multidisciplinary Center for Infrastructure Engineering Shenyang University of TechnologyShenyang110870China Faculty of Organizational Sciences University of BelgradeBelgrade11000Serbia College of Engineering Yuan Ze UniversityTaoyuan320315TaiwanChina

In this paper,a stable and adaptive sliding mode control(SMC)method for induction motors is *** the parameters of this system has been one of the existing *** solve this challenge,a new self-tuning type-2 fuzzy neural network calculates and updates the control system parameters with a fast *** to the dynamic changes of the system,in addition to the parameters of the SMC,the parameters of the type-2 fuzzy neural network are also updated *** conditions for guaranteeing the convergence and stability of the control system are *** the simulation part,in order to test the proposed method,several uncertain models and load torque have been ***,the results have been compared to the SMC based on the type-1 fuzzy system,the traditional SMC,and the PI *** average RMSE in different scenarios,for type-2 fuzzy SMC,is 0.0311,for type-1 fuzzy SMC is 0.0497,for traditional SMC is 0.0778,and finally for PI controller is 0.0997.

关键词： Sliding mode control self-tuning type-2 fuzzy systems inductions motor parameters uncertainty

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ML and CFD Simulation of Flow Structure around Tandem Bridge Piers in Pressurized Flow

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Computers, Materials & Continua 2023年第4期75卷 1711-1733页

作者： Aliasghar Azma Ramin Kiyanfar Yakun Liu Masoumeh Azma Di Zhang Ze Cao Zhuoyue Li School of Hydraulic Engineering Faculty of Infrastructure EngineeringDalian University of TechnologyDalian116024China Department of Art and Architecture Payame Noor UniversityShiraz19395-4697Iran School of Foreign Languages Nanjing Xiaozhuang UniversityNanjing211171China

Various regions are becoming increasingly vulnerable to the increased frequency of floods due to the recent changes in climate and precipitation patterns throughout the *** a result,specific infrastructures,notably bridges,would experience significant flooding for which they were not intended and would be *** flow field and shear stress distribution around tandem bridge piers under pressurized flow conditions for various bridge deck widths are examined using a series of three-dimensional(3D)*** is indicated that scenarios with a deck width to pier diameter(Ld/p)ratio of 3 experience the highest levels of turbulent *** addition,maximum velocity and shear stresses occur in cases with Ld/p equal to *** indicate that increasing the number of piers from 1 to 2 and 3 results in the increase of bed shear stress by 24%and 20%***,five machine learning algorithms,including Decision Trees(DT),Feed Forward Neural Networks(FFNN),and three Ensemble models,are implemented to estimate the flow field and the turbulent *** indicated that the highest accuracy for estimation of U,and W,were obtained using AdaBoost ensemble with R2=0.946 and 0.951,***,the Random Forest algorithm outperformed AdaBoost slightly in the estimation of V and turbulent kinetic energy(TKE)with R2=0.894 and 0.951,respectively.

关键词： Bridge pier scour process deck width machine learning turbulent structure

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Foundation for risk-based asset management for storm surge barriers 8th

Foundation for risk-based asset management for storm surge b...

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8th International Symposium on Life-Cycle Civil engineering, IALCCE 2023

作者： Kharoubi, Y. van den Boomen, M. Hertogh, M.J.C.M. van den Bogaard, J. Faculty of Civil Engineering and Geosciences Delft University of Technology Delft Netherlands Rijkswaterstaat Ministry of Infrastructure and the Environment Utrecht Netherlands

ISBN: (纸本)9781003323020

Due to climate change, the risk of flooding is increasing with potentially severe consequences on highly populated and economically developed coastal zones. Storm surge barriers protect against such events with the critical task of closing during extreme weather conditions to prohibit the propagation of water. This highlights the importance of maintaining the high reliability of these structures and the challenge to reach this goal for rarely operated and unique infrastructures. To deal with this challenge, the study creates a foundation to set an asset management approach for storm surge barriers or assets with similar characteristics. This is done by studying the case of The Netherlands with the aim to [1] describe the asset management approach, [2] identify key features of the approach, [3] investigate the connection between these features and the characteristics of the barriers, and [4] conclude the influence of the characteristics on the establishment of an asset management approach. © 2023 The Author(s).

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Biopolymer stabilization of clayey soil

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Journal of Rock Mechanics and Geotechnical engineering 2024年第7期16卷 2801-2812页

作者： Mahdieh Azimi Amin Soltani Mehdi Mirzababaei Mark B.Jaksa Nanjappa Ashwath College of Engineering and Aviation School of Engineering and TechnologyCQUniversityMelbourneVIC 3000Australia Institute of Innovation Science and Sustainabilityand Future Regions Research CenterFederation UniversityChurchillVIC 3842Australia Department of Infrastructure Engineering Faculty of Engineering and Information TechnologyThe University of MelbourneParkvilleVIC 3010Australia School of Architecture and Civil Engineering The University of AdelaideAdelaideSA 5005Australia School of Health Medical and Applied SciencesCQUniversityRockhamptonQLD 4701Australia

This study investigates the efficacy of sodium alginate(SA),xanthan gum(XG),guar gum(GG)and chitosan(CS)d each applied at five different solid biopolymer-to-water mass ratios(or dosages)and cured for 7 d and 28 d d on the unconfined compressive strength(UCS)performance of a high plasticity clayey ***,on identifying the optimum biopolymer-treatment scenarios,their performance was compared against conventional stabilization using hydrated *** a given curing time,the UCS for all biopolymers followed a riseefall trend with increasing biopolymer dosage,peaking at an optimum dosage and then subsequently decreasing,such that all biopolymer-stabilized samples mobilized higher UCS values compared to the unamended *** optimum dosage was found to be 1.5%for SA,XG and CS,while a notably lower dosage of 0.5%was deemed optimum for ***,for a given biopolymer type and dosage,increasing the curing time from 7 d to 28 d further enhanced the UCS,with the achieved improvements being generally more pronounced for XG-and CS-treated *** of the investigated biopolymers was able to produce UCS improvements equivalent to those obtained by the 28-d soilelime samples;however,the optimum XG,GG and CS dosages,particularly after 28 d of curing,were easily able to replicate 7-d lime stabilization outcomes achieved with as high as twice the soil’s lime ***,the fundamental principles of clay chemistry,in conjunction with the soil mechanics framework,were employed to identify and discuss the clayebiopolymer stabilization mechanisms.

关键词： Soil stabilization High plasticity clay Biopolymer dosage Hydrated lime Curing time Unconfined compressive strength(UCS)

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