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2022 International Conference on Algorithms, Network and Computer technology, ICANCT 2022

作者： Gu, Gaohong Fan, Shengjie Zhang, Shuiliang Song, Hui Jiangxi Provincial Key Laboratory of Hydraulic & Civil Engineering Infrastructure Security Nanchang Institute of Technology Jiangxi Nanchang330099 China Ningbo City Construction Engineering Testing Co. Ltd Zhejiang Ningbo315175 China College of Water Conservancy & Ecological Engineering Nanchang Institute of Technology Nanchang330099 China

Elastic modulus affects the stiffness of pervious concrete, and stiffness is one of the elements restricting the durability of pervious concrete. To explore the deterioration of dynamic elastic modulus of pervious concrete under sulfate attack, this paper measured the variation of pervious concrete's mass and density with water-cement ratio of 0.28, 0.31, and 0.34 under sulfate attack. A nondestructive ultrasonic tests were also used to determine the change of the ultrasonic wave velocity reflected from pervious concrete. In addtion, the evolution of the dynamic elastic modulus were analyzed. The results show that the pervious concrete manifests an upward curve followed by a downward movement in its density and dynamic elastic modulus as the corrosion lasting. The pervious concrete with a 0.28 water-cement ratio suffers from the worst deterioration, while the concrete with 0.31 ratio experiences the lightest degeneration. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Deterioration

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Impact of mica on geotechnical behavior of weathered granitic soil using macro and micro investigations

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Journal of Rock Mechanics and Geotechnical engineering 2024年第6期16卷 2250-2266页

作者： Xianwei Zhang Xinyu Liu Haodong Gao Gang Wang Ran An Zhu Liang State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China School of Civil and Hydraulic Engineering Huazhong University of Science and TechnologyWuhan430074China College of Urban Construction Wuhan University of Science and TechnologyWuhan430065China University of Chinese Academy of Sciences Beijing100049China Guangzhou Urban Planning&Design Survey Research Institute Guangzhou510000China Guangdong Enterprise Key Laboratory for Urban Sensing Monitoring and Early WarningGuangzhou510000China

The micaceous weathered granitic soil(WGS)is frequently encountered in civil engineering worldwide,unfortunately little information is available regarding how mica affects the physico-mechanical behaviors of *** study prepares reconstituted WGS with different mica contents by removing natural mica in theWGS,and then mixes it with commercial mica *** geotechnical behavior as well as the microstructures of the mixtures are *** addition of mica enables the physical indices of WGS to be specific combinations of coarser gradation and high permeability but high Atterberg ***,high mica content in WGS was found to be associated with undesirable mechanical properties,including increased compressibility,disintegration,and swelling potential,as well as poor compactability and low effective frictional *** analysis indicates that the influence of mica on the responses of mixtures originates from the intrinsic nature of mica as well as the particle packing being formed *** exists in the mixture as stacks of plates that form a spongy structure with high compressibility and swelling *** among the plates give the soil high water retention and high Atterberg *** pores are also generated by soil particles with bridging packing,which enhances the permeability and water-soil interactions upon *** study provides a microlevel understanding of how mica dominates the behavior of WGS and provides new insights into the effective stabilization and improvement of micaceous soils.

关键词： Weathered granitic soil(WGS) Mica Microstructure Physical properties Mechanical properties Mechanism

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Strength And Stability Of Concrete Samples Produced With Electric Arc Furnace Slag

Strength And Stability Of Concrete Samples Produced With Ele...

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Green Buildings (ATiGB), Applying New technology in

作者： Duy-Hai Vo Huynh Vo Duyen Anh Chao-Lung Hwang Chien-Ming Lu Thi Thu Ha Truong Thanh-Quang Tran Department of Civil Engineering The University of Danang University of Technology and Education Danang Vietnam Civil Engineering Department The University of Danang - University of Technology and Education Danang Vietnam Department of Civil and Construction Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (数字)9798331505042

ISBN: (纸本)9798331505059

This research investigated the hardened properties of concrete specimens produced with electric arc furnace (EAF) slag as aggregate. The concrete mix proportions were calculated following the Densified Mixture Design Algorithm (DMDA) method with various water-to-binder (w/b) ratios at 0.3,0.4 and 0.5. To examine the hardened characteristics, the strength development including compressive strength, splitting tensile strength, and ultrasonic pulse velocity (UPV) tests were conducted, while the expansion under autoclave conditions was observed to the stability of concrete samples. The concrete specimens exhibited a compressive strength range of 19.1-57.9 MPa and splitting tensile strength of 1.76-3.82 MPa at 28-day, significantly reducing with increasing w/b ratio. The UPV results were higher than 3660m/s, while the concrete samples were stable in shape under the autoclave condition test.

关键词： Shape Aggregates Furnaces Production Slag Curing Concrete Raw materials Manufacturing Thermal stability

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Performance and compressive axial behavior of new design partially confined concrete columns with encased-FRP/Grid strips

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Asian Journal of civil engineering 2022年第6期23卷 801-815页

作者： Djenad, Sonia Si Salem, Abdelmadjid Bouzidi, Mohamed Amin Laboratory of Construction Engineering and Architecture (LGCA) Faculty of Technology University of Bejaia Bejaia 06000 Algeria Civil Engineering Department University Mouloud Mammeri of Tizi Ouzou 15000 Tizi Ouzou Algeria

A new confined concrete columns design with encased-FRP/Grid components is introduced in this paper. Indeed, partial hexagonal FRP and steel wire grid were discontinuously embedded as strips in the concrete matrix. In this work, a sum of 12 columns specimen were casted and tested under axial compression loading, including concrete-encased-hexagonal FRP strips (FC) and concrete-encased-steel grid strips columns (GC) and unconfined concrete cylinders (P). Experimental results indicate a significant enhancement in the behavior of the composite columns, namely when considering double concrete-encased-strips columns (FGC). In addition, a new confinement model that can be used to predict the axial stress–strain behavior of confined concrete columns is proposed. The confrontation between test and predicted results shows a good agreement. Finally, a parametric analysis was realized to assess the impact of various parameters on the axial behavior of the proposed confinement design technique. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Analytical model Axial behavior Encased-steel grid Hexagonal FRP strips Partially confined concrete

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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth

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engineering Applications of Computational Fluid Mechanics 2024年第1期18卷

作者： Chou, Jui-Sheng Molla, Asmare Department of Civil and Construction Engineering National Taiwan University of Science and Technology

This paper presents a pioneering artificial intelligence (AI) solution–the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges. This prediction system amalgamates the strengths of hybrid models by uniting a metaheuristic optimization algorithm with weighted features and least squares support vector regression (WFLSSVR). The metaheuristic algorithm concurrently optimizes all hyperparameters of constituent WFLSSVR models, resulting in a highly effective system. Validation involves a comprehensive assessment using two case studies, which include datasets of scour depths across various complexities and pier foundation types. Comparative analyses against single AI models, conventional ensemble models, hybrid techniques, and empirical methods demonstrate that ATO-WFLSSVR's reliability outperforms others in performance evaluation metrics. Specifically, for the field dataset, ATO-WFLSSVR achieves MAPE and R values of 20.92% and 0.9435, respectively, and for scour depth data at complex pier foundations, it records MAPE and R values of 6.49% and 0.9384, respectively. The automated predictive analytics underscore the robustness, efficiency, and stability of ATO-WFLSSVR compared to existing methods. This study's notable contributions include the development of an innovative optimization algorithm named Arctic Terns Optimizer (ATO), proficiency in solving high-dimensional optimization problems, and the creation of a user-friendly graphical interface system, a promising tool for civil engineers to estimate scour depth at bridges. Further testing and evaluation of ATO-WFLSSVR across diverse datasets encompassing more complex scenarios are recommended. The data and source code for this study are currently accessible at https://***/profile/Jui-Sheng-Chou/publications. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis

关键词： Artic Tern Optimizer (ATO) least squares support vector regression machine learning metaheuristic algorithm Scour depth at bridges tuning hyperparameter in machine learning weighted feature-based method

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基于Seed-PCG法的列车-轨道-地基土三维随机振动GPU并行计算方法

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Journal of Central South University 2024年第1期31卷 302-316页

作者：朱志辉冯杨杨啸李昊邹有 National Engineering Research Center of High-speed Railway Construction Technology Changsha 410075China School of Civil Engineering Central South UniversityChangsha 410075China School of Computer Science and Engineering Center South UniversityChangsha 410083China Information and Network Center Central South UniversityChangsha 410083China

为了解决列车-轨道-地基土三维有限元模型随机多样本计算效率低的问题,本文提出了一种基于Seed-PCG法的高效并行计算方法。基于有限元法和虚拟激励法建立轨道不平顺激励下的三维列车-轨道-地基土耦合随机振动分析模型;针对车致地基土随... 详细信息

为了解决列车-轨道-地基土三维有限元模型随机多样本计算效率低的问题,本文提出了一种基于Seed-PCG法的高效并行计算方法。基于有限元法和虚拟激励法建立轨道不平顺激励下的三维列车-轨道-地基土耦合随机振动分析模型;针对车致地基土随机振动分析产生的多右端项线性方程组求解问题,采用Seed-PCG方法进行求解。通过PCG方法求解种子系统得到的Krylov子空间进行投影,以改进其余线性方程组的初始解和对应的初始残量,有效提高了PCG法的收敛速度,最后,在MATLABCUDA混合平台上开发了并行计算程序。数值算例表明:相同计算平台下的该方法相比多点同步算法获得了104.2倍的加速;相比PCG法逐个求解方案减少了18%的迭代次数,获得了1.21倍的加速。

关键词： Seed-PCG法多右端项线性方程组随机振动 GPU并行计算列车-轨道-地基土耦合模型

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BIM and IoT Sensors Data Integration for Improving the Efficienty of Concrete Curing Process

BIM and IoT Sensors Data Integration for Improving the Effic...

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engineering Informatics, IEEE

作者： Sagheer Ranjha Palaneeswaran Ekambaram Lei Shi Sourabh Dani Department of Civil and Construction Engineering School of Engineering Swinburne University of Technology Melbourne Australia Trades and Engineering Technologies Swinburne University of Technology Melbourne Australia School of Engineering Swinburne University of Technology Melbourne Australia

ISBN: (数字)9798331505776

ISBN: (纸本)9798331505783

Determining the early-age compression strength of concrete is an integral part of many construction projects. This paper investigates the feasibility of a method to monitor temperatures related to concrete curing using IoT and BIM technology. The research includes analysis of temperature data and whether it is practical to rely on sensor-based data gathering to determine the compressive strength of concrete. To achieve this, an arrangement of temperature sensors was fixed to a series of concrete core samples as they cured, and the temperature data feed was linked to a BIM platform. It was found that the integration between IoT and BIM technologies was functional and significantly contributed towards more cost effective, efficient and accurate practices. This is particularly important if predictions on future compressive strength can be made using current sensor information. Further testing would be required to determine the heat of hydration and accurately predict the compressive strength.

关键词： Temperature sensors Heating systems Temperature measurement Temperature distribution Accuracy Curing Concrete Real-time systems Internet of Things Testing

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A novel refined dynamic model of high-speed maglev train-bridge coupled system for random vibration and running safety assessment

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Journal of Central South University 2024年第7期31卷 2532-2544页

作者： MAO Jian-feng LI Dao-hang YU Zhi-wu CAI Wen-feng GUO Wei ZHANG Guang-wen School of Civil Engineering Central South UniversityChangsha 410075China National Engineering Research Center of High-speed Railway Construction Technology Changsha 410075China China Railway Group Limited Beijing 100039China China Railway Eryuan Engineering Group Co. Ltd.Chengdu 610031China

Running safety assessment and tracking irregularity parametric sensitivity analysis of high-speed maglev train-bridge system are of great concern,especially need perfect refinement models in which all properties can be well characterized based on various stochastic excitations.A three-dimensional refined spatial random vibration analysis model of high-speed maglev train-bridge coupled system is established in this paper,in which multi-source uncertainty excitation can be considered simultaneously,and the probability density evolution method(PDEM)is adopted to reveal the system-specific uncertainty dynamic *** motion equation of the maglev vehicle model is composed of multi-rigid bodies with a total 210-degrees of freedom for each vehicle,and a refined electromagnetic force-air gap model is used to account for the interaction and coupling effect between the moving train and track beam bridges,which are directly established by using finite element *** model is proven to be applicable by comparing with Monte Carlo *** applying the proposed stochastic framework to the high maglev line,the random dynamic responses of maglev vehicles running on the bridges are studied for running safety and stability ***,the effects of track irregularity wavelength range under different amplitude and running speeds on the coupled system are *** results show that the augmentation of train speed will move backward the sensitive wavelength interval,and track irregularity amplitude influences the response remarkably in the sensitive interval.

关键词： maglev train-bridge interaction electromagnetic force-air gap model stochastic dynamic analysis running safety assessment probability density evolution method

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Environmentally sustainable groundwater control during dewatering with barriers:A case study in Shanghai

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Underground Space 2021年第1期6卷 12-23页

作者： Zhi-Fei Xie Shui-Long Shen Arul Arulrajah Suksun Horpibulsuk Department of Civil Engineering School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Civil and Environmental Engineering Shantou UniversityShantouChina Key Laboratory of Intelligent Manufacturing Technology(Shantou University) Ministry of EducationShantouGuangdong 515063China Department of Civil and Construction Engineering Swinburne University of TechnologyVictoria 3122Australia School of Civil Engineering and Center of Excellence in Innovation for Sustainable Infrastructure DevelopmentSuranaree University of TechnologyNakhon Ratchasima 30000Thailand

This paper presents a case study on groundwater control and environmental protection during a deep excavation of the foundation pit for the Liyang Road Station of Metro Line 10 in Shanghai.A three-dimensional finite element simulation model was constructed to quantify the effects of a dewatering process on the environment around the excavation *** understand the decrease in the groundwater level around the foundation pit,the ground settlement and groundwater level were *** the excavation,environmental protection methods were used in the design of the optimal watering system to check its detrimental environmental *** effects of the diaphragm wall and horizontal barrier system were analyzed by varying their insertion depths and the resulting changes in the ground settlement and groundwater level were *** was found that increasing the insertion depth of the diaphragm wall reduced settlement near the excavation site but increased the construction *** diaphragm wall used in combination with a horizontal barrier was found to be effective in arresting the decrease in groundwater level and reducing settlement around the excavation site.

关键词： Dewatering Horizontal barrier Diaphragm wall Ground settlement Drawdown Confined water

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Geopolymer foam concrete: a review of pore characteristics, compressive strength and artificial intelligence in GFC strength simulations

Discover Concrete and Cement

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Discover Concrete and Cement 2025年第1期1卷 1-26页

作者： Abdellatief, Mohamed Hassanien, Alaa E. Mortagi, Mohamed Hamouda, Hassan Department of Civil Engineering Higher Future Institute of Engineering and Technology in Mansoura Mansoura Egypt Department of Chemistry Faculty of Science Mansoura University Mansoura Egypt Department of Structural Engineering Faculty of Engineering Mansoura University Mansoura Egypt Faculty of Engineering Mansoura National University Mansoura Egypt Civil and Architectural Construction Department Faculty of Technology and Education Suez University Suez Egypt

Geopolymer foam concrete (GFC) has emerged as a sustainable alternative in construction, utilizing waste-derived binders to enhance material properties while addressing environmental concerns. This review examines the impact of precursor materials, foam agents, nanomaterials, fibers, and curing temperatures on GFC’s pore structure and compressive strength. GFC typically achieves compressive strengths of 1–10 MPa, with porosity significantly influencing performance. For instance, GFC with densities of 280–865 kg/m3 exhibits compressive strengths of 1.10–8.13 MPa and thermal conductivities of 0.08–0.20 W/(m K), making it suitable for insulation applications. The integration of alternative materials, such as industrial by-products, enhances sustainability without compromising mechanical properties. Precise control over curing parameters, particularly heating rates, is critical to optimizing porosity and strength. The addition of nanomaterials improves mechanical performance and introduces self-sensing capabilities, expanding GFC’s potential for advanced industrial applications. Fibers further enhance toughness and crack resistance, broadening its usability. Machine learning algorithms offer promising tools for optimizing GFC formulations and structural designs, enabling the development of high-performance, sustainable materials tailored to specific engineering needs. By systematically evaluating the effects of alternative materials, nanotechnology, fibers, and curing conditions, this review highlights the potential of GFC to revolutionize sustainable construction. Finally, GFC represents a transformative advancement in eco-friendly construction materials. Its integration of waste-derived binders, nanomaterials, and advanced optimization techniques positions it as a key solution for sustainable infrastructure, balancing performance, durability, and environmental responsibility.

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