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3rd International Signal Processing, Communications and engineering Management Conference, ISPCEM 2023

作者： Wang, Houyan Xiao, Shuoting Ningbo Youzuo Construction Technology Company Zhejiang Ningbo China Institute of Civil Engineering and Architecture Ural Federal University Ekaterinburg Russia

ISBN: (纸本)9798350307023

As construction projects enter a new era, building crack width monitoring has entered a stage of high-quality development. It is necessary to propose image processing propositions that better meet the needs of crack width monitoring for building safety by focusing on the deep learning idea with image segmentation as the core. Based on the dynamic evolution of image processing development, according to the internal logic of the convolutional neural network, a theoretical analysis framework for the development of image segmentation is constructed. It can explain the image segmentation development mechanism jointly generated by the image processing mechanism and the optimization loop mechanism involved in image sampling and segmentation. From the perspective of quality change and practical deduction of image segmentation development, the possibility of moving towards the high-quality development goal of building crack width monitoring is further explored. The purpose of developing building crack width monitoring is to provide crack width estimates that meet expected standards for construction projects, which is committed to continuously improving the quality of crack width and improving the satisfaction of crack width monitoring. Therefore, it is necessary to strengthen the image segmentation control based on the quality of the inner loop of the convolutional neural network. Establishing an interaction and feedback mechanism between image segmentation and perception of the quality of a construction project, as well as establishing an evaluation system for image segmentation and monitoring of the crack width of a building, which will achieve high-quality development of building crack width monitoring, promote construction project safety, and truly meet the needs of construction projects. © 2023 IEEE.

关键词： Image segmentation

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Correlation Analysis Between Concrete Compressive Strength and Pore Structure Based on Grey System Theory 6th

Correlation Analysis Between Concrete Compressive Strength a...

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6th International Conference on Smart Monitoring, Assessment and Rehabilitation of civil Structures, SMAR 2022

作者： Zhang, Qingzhang Que, Liru Song, Li Xu, Ning He, Jiaming College of Civil Engineering Henan University of Technology Zhengzhou Henan450001 China National Engineering Research Center of High-Speed Railway Construction Technology Changsha Hunan410075 China School of Civil Engineering Central South University Changsha Hunan410075 China China MCC20 Group Corp. Ltd. Shanghai201999 China

ISBN: (纸本)9789819933617

In this paper, the influence degree of concrete micro-pore structure on its own compressive strength was studied. The mercury intrusion test and compressive strength test of concrete under different water-cement ratio and sand ratio were designed. The pore structure parameters such as porosity, most probable pore size, average pore size and critical pore size are quantitatively characterized. The mechanism of concrete compressive performance changes was clarified from the perspective of micro pore structure. The influence degree of different micro-pore structure parameters on concrete compressive strength was analyzed. And an empirical relationship model between pore size distribution and porosity with compressive strength was established. The test results shown that the compressive strength of concrete with different water cement ratio and sand ratio decreases with the increase of porosity. According to the grey theory analysis, the main factors affecting the compressive strength of concrete micro-pore structure were average pore size, median pore size, harmless pore content and harmful pore content, and their grey correlation degrees were above 0.8. Further regression analysis shown that the compressive strength has a good linear relationship with the average pore diameter, median pore diameter, harmless pore content and harmful pore content in the micro-pore structure. In addition, the parametric analysis of the empirical model shown that the effect of porosity on compressive strength increased with the increase of pore size. © Tongji University Press 2024.

关键词： Pore size

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Optimal normal force analysis of disc cutter based on test and characteristic particle size theory

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ce/papers 2025年第2期8卷 531-545页

作者： Liu, Yanxing Zhai, Shufang Yue, Qichao Zhou, Pin Yang, Jinping Wu, Fan Gong, Qiuming Henan expressway test testing Co. Limited Zhengzhou450000 China College of Civil Engineering Henan University of Technology Zhengzhou450000 China Beijing Urban Construction Design & Development Group Co. Limited Beijing100000 China Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Technology Beijing100124 China

The disc cutter is one of the most TBM cutting tools because of its excellent rock-breaking capacity. In order to improve the efficiency of the disc cutter, determining the appropriate normal force is an effective solution. The characteristics of rock chips formed by disc cutter are important indicators to comprehensively reflect the rock breaking efficiency. In order to research the relationship between characteristic particle size and the optimal normal force of the disc cutter, the linear cutting test is carried out and the effects of six sets of TBM disc cutter penetrations on the particle size distribution are investigated. The data of rock chips from test and the characteristic particle size theory are used to investigate the relationship when the TBM energy consumption is consistent with Kich similarity theory, Bond hypothesis and Rittinger new surface theory. It is found that the relationships between the rock-breaking consumption energy, characteristic particle size and penetration are both in accordance with the quadratic function. Moreover, the formulas between the optimal normal force and the characteristic particle size are obtained, which provide theoretical basis for excavation construction in the similar stratum. © 2025 Ernst & Sohn GmbH.

关键词： Cutting tools

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Geospatial Feature Extraction Based on Multimodal Image Sensor by Implementing a Digital Twin of Underground Utility Tunnel 9

Geospatial Feature Extraction Based on Multimodal Image Sens...

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9th IEEE Smart World Congress, SWC 2023

作者： Lee, Jaewook Lee, Yonghwan Park, Sangmi Hong, Changhee Korea Institute of Civil Engineering and Building Technology Department of Future & Smart Construction Research Korea Republic of Ceo Iansit Korea Republic of

ISBN: (纸本)9798350319804

The rising interest in digital twin technology, the digitalization of deteriorated Social Overhead Capital (SOC), and disaster response services have led to an increase in the use of three-dimensional spatial models for managing facilities and structures based on 3D spatial information. This study implemented a digital twin of an underground utility tunnel and extracted spatial objects using internal image sensors. The novelty of the study lies in its implementation of an algorithm that divided the structure of the underground utility tunnel into points, lines, and planes and recognized objects using a multimodal image sensor that included Light Detection and Ranging (LiDAR). The study followed a three-step process: implementing a digital twin of the underground utility tunnel based on Building Information Modelling integrated with Geographic Information System (BIM-GIS);defining a spatial object extraction methodology;applying image sensor-based segmentation and Random Sample Consensus (RANSAC). The proposed method enables the implementation of digital twins of underground spaces and extraction of spatial objects using internal image sensors, which allows for the detection of displacement and handling of future anomalies in structures. © 2023 IEEE.

关键词： building information modeling (BIM) digital twin geospatial feature extraction multimodal image sensor underground utility tunnel

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Study on the Optimal Preparation Method of Sasobit/Basalt Fiber Compound Modification Asphalt 11

Study on the Optimal Preparation Method of Sasobit/Basalt Fi...

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11th Academic Conference of Geology Resource Management and Sustainable Development 2023

作者： Chen, Chengxin Lin, Hui Zhang, Zhengwei Construction Technology Development Co. Ltd. Fuzhou350000 China Honghui Construction Engineering Co. Ltd. Fuzhou350000 China School of Civil Engineering Northeast Forestry University Harbin150040 China

ISBN: (纸本)9781713890973

The purpose of this study is to determine the optimal preparation method for Sasobit/basalt fiber composite modified asphalt. This article investigates the effects of six factors, including the order of adding the two modifiers, preparation temperature, stirring rate, stirring time, shear rate, and shear time on the penetration, softening point, and ductility of the composite modified asphalt. By using the single-factor analysis method and considering both the optimal high and low-temperature properties of the composite modified asphalt, the optimal preparation method of Sasobit/basalt fiber composite modified asphalt was determined. Experimental results show that, under the recommended dosage, the optimal order of adding the two modifiers is to add Sasobit first and then basalt fiber;the optimal preparation temperature for the composite modified asphalt is 170℃;the optimal stirring rate is 800r/min;the optimal stirring time is 30min;the optimal shear rate is 4000r/min;and the optimal shear time is 30min. © 2023 by Aussino Academic Publishing House. All Rights Reserved.

关键词： Shear flow

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Digitalisation in Slovakia: construction law under digital transformation 23

Digitalisation in Slovakia: Construction law under digital t...

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2023 Central and Eastern European eDem and eGov Days 2023, CEEE Gov Days 2023

作者： Mesaros, Peter Rucinsky, Rastislav Smetankova, Jana Institute of Construction Technology Economics and Manamgenet Faculty of Civil Engineering Technical University of Kosice Vysokoskolska 4 Kosice042 00 Slovakia

ISBN: (纸本)9798400700064

The current situation in the construction sector shows a number of problems that result from incorrectly set public administration, self-government and competences and, above all, from the lack of electronic procedures. Among all industries, construction is the slowest and least effective in applying new knowledge, materials or technologies to its processes. Faster implementation of innovations is a necessary step for the development, economy and ecological impact of the construction industry in Slovakia. Based on the above facts, the government of the Slovak Republic decided to update the construction law, which has not been changed for decades. The contribution provides a brief overview of the basic goals and steps that are part of the creation of the new construction law, defines the main milestones, benefits, solutions and tools that will help the design and gradual implementation of information and communication technologies in individual processes within the framework of building permits. © 2023 ACM.

关键词： construction industry

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Perceptions and Pedagogical Responses of construction Educators During COVID-19

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International Journal of construction Education and Research 2023年第4期19卷 405-425页

作者： Langar, Sandeep Mosier, Rachel Adhikari, Sanjeev School of Civil and Environmental Engineering and Construction Management The University of Texas at San Antonio San Antonio TX United States Francis and Kathleen Rooney Construction Engineering Technology Program Oklahoma State University Stillwater OK United States Department of Construction Management Kennesaw State University Atlanta GA United States

COVID-19 impacted academia across the globe. Given the scale and sudden pandemic onset, limited empirical studies identify the transition’s impact on the US construction educators and education imparted. The study determined the pedagogical responses of educators associated with construction programs within the US during COVID-19 and tested six relationships in the areas of university support, technological access and infrastructure, and educator proficiency improvements. An online survey method was utilized with the instrument emailed to nearly 1,883 educators associated with construction programs/departments across the US. The study used 163 complete responses from US educators based on predefined parameters and identified the baseline operational paradigm (pre-COVID) for construction educators and programs across the US. The study determined the changes after the transition and investigated the impacts of the transition on faculty proficiency with online teaching, existing technological infrastructure, and communication with students. The study identified a moderate relationship between the University’s level of support and educators’ experiences in developing and delivering online materials during the transition. A moderate relationship was also identified between proficiency with online content delivery and total teaching experience. Finally, only a few respondents felt construction education could be delivered entirely online, based on their experiences. © 2022 Associated Schools of construction.

关键词： construction educators COVID-19 impacts on academia online education pedagogical responses to COVID-19

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Numerical Simulation of Full-Scale Cyclic Physical Model Design Based on On-Site Monitoring 5th

Numerical Simulation of Full-Scale Cyclic Physical Model Des...

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5th International Conference on Transportation Geotechnics, ICTG 2024

作者： Liao, Chih-Ming Kuo, Chihping Ho, Kai-Jui Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan Department of Civil and Construction Engineering National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan

ISBN: (纸本)9789819782321

Maintaining the serviceability and safety of the railway transportation system is an essential national engineering project. Today, most railway systems still use ballast as the primary foundation. Frequent mud pumping occurs on the ballast foundation, which makes the railway system's safety and reliability questionable. It is immediately essential to explore the mechanism of mud pumping. If the key factors causing mud pumping can be clarified, it will significantly help reduce railway maintenance costs and improve reliability and safety in the future. Conducting a full-scale ballast foundation cyclic load test to simulate the mud pumping behavior and explore its development mechanism is critical research. To this end, this article will demonstrate using the train load measured on-site and numerical simulation methods to calibrate the model size for subsequent physical testing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Mud pumps

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A stacked multiple kernel support vector machine for blast induced flyrock prediction

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Geohazard Mechanics 2024年第1期2卷 37-48页

作者： Ruixuan Zhang Yuefeng Li Yilin Gui Danial Jahed Armaghani Mojtaba Yari School of Civil and Environmental Engineering Queensland University of TechnologyGardens PointQLD4000Australia School of Computer Science Queensland University of TechnologyGardens PointQLD4000Australia Centre for Materials Science Queensland University of TechnologyGardens PointQLD4000Australia Centre for Sustainable Engineered Construction Materials Queensland University of TechnologyGardens PointQLD4000Australia School of Civil and Environmental Engineering University of Technology SydneyUltimoNSW2007Australia Department of Mining Engineering Faculty of EngineeringMalayer UniversityMalayer65719-95863Iran

As a widely used rock excavation method in civil and mining construction works, the blasting operations and theinduced side effects are always investigated by the existing studies. The occurrence of flyrock is regarded as one ofthe most important issues induced by blasting operations, since the accurate prediction of which is crucial fordelineating safety zone. For this purpose, this study developed a flyrock prediction model based on 234 sets ofblasting data collected from Sugun Copper Mine site. A stacked multiple kernel support vector machine (stackedMK-SVM) model was proposed for flyrock prediction. The proposed stacked structure can effectively improve themodel performance by addressing the importance level of different features. For comparison purpose, 6 othermachine learning models were developed, including SVM, MK-SVM, Lagragian Twin SVM (LTSVM), ArtificialNeural Network (ANN), Random Forest (RF) and M5 Tree. This study implemented a 5-fold cross validationprocess for hyperparameters tuning purpose. According to the evaluation results, the proposed stacked MK-SVMmodel achieved the best overall performance, with RMSE of 1.73 and 1.74, MAE of 0.58 and 1.08, VAF of 98.95and 99.25 in training and testing phase, respectively.

关键词： Multiple kernel learning Support vector machine Stacked model Flyrock prediction

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基于简化计算模型的中国高速铁路桥梁横向地震分析

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Journal of Central South University 2023年第1期30卷 351-364页

作者：周旺保彭东航刘丽丽张云泰赖志鹏余建蒋丽忠 School of Civil Engineering Central South UniversityChangsha 410075China National Engineering Research Center of High-speed Railway Construction Technology Changsha 410075China

在高速铁路简支梁桥的地震分析中,轨道结构的约束作用不容忽视。尽管其计算效率很高,但由于未考虑轨道结构,桥梁模型可能会产生不合理的地震响应。考虑轨道结构的桥梁轨道模型非常复杂,其地震分析计算效率低。因此,建立高速铁路桥梁抗... 详细信息

在高速铁路简支梁桥的地震分析中,轨道结构的约束作用不容忽视。尽管其计算效率很高,但由于未考虑轨道结构,桥梁模型可能会产生不合理的地震响应。考虑轨道结构的桥梁轨道模型非常复杂,其地震分析计算效率低。因此,建立高速铁路桥梁抗震分析的简化计算模型具有重要的工程实用价值。本文通过在主梁之间设置非线性弹簧,建立了高速铁路桥梁横向地震分析的简化模型。这些弹簧可以精确模拟轨道结构对桥梁的约束作用。利用简化模型对一座五跨高速铁路桥梁进行了地震分析,并将其地震响应与不考虑轨道结构的模型和考虑轨道结构的模型进行了比较。结果表明,在不同地震记录下,桥梁模型和桥梁轨道模型的地震响应吻合良好,验证了简化模型的计算精度。与桥轨模型相比,简化模型的计算时间显著缩短。轨道结构在频繁地震下基本处于弹性阶段,而在设计地震和罕遇地震下,轨道结构的刚度将降低。

关键词：高速铁路桥梁 CRTSⅡ型无砟轨道简化模型计算效率轨道约束退化界限

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