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Ground penetrating radar detection of steel fiber reinforced composite linings in shield tunnels:Experimental and field studies

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Frontiers of Structural and civil engineering 2025年第4期19卷 541-555页

作者： Kang LI Xiongyao XIE Hao CHEN Biao ZHOU Changfu HUANG College of Civil Engineering Tongji UniversityShanghai 200092China Innovation Base for Urban Geological Disaster Prevention and Control Technology of the Geological Society of China Shanghai 200030China Shanghai Tunnel Engineering Co. (Singapore)Pte.Ltd.Singapore 049712Singapore China Railway Construction Corporation Limited. Beijing 100855China

Steel fiber reinforced concrete-reinforced concrete(SFRC-RC)composite linings are popular in shield tunnel construction due to exceptional strength and waterproofing ***-destructive testing methods are essential for assessing the quality of these linings and ensuring tunnel construction *** study investigates the potential and parameters of ground penetrating radar(GPR)detection for the composite linings,using the Deep Tunnel Sewerage System-Phase 2 project in Singapore as a case *** gprMax simulations incorporated the random distribution and precise parameters of steel fibers to conduct preliminary frequency selection *** structural setup of the model experiments mirrored that of the actual tunnel,allowing for an analysis of GPR penetration capabilities at various *** testing provided authentic GPR data,validating conclusions drawn from simulations and model experiments and examining GPR power attenuation *** indicate that GPR is effective for the quality detection of composite *** optimal frequency for detecting SFRC-RC composite linings is 300 MHz,which resolves the interfaces of different layered *** on single-parameter exponential and power function fitting,empirical formulas for power attenuation quantitatively characterize GPR signal attenuation in SFRC-RC composite *** paper offers valuable references for GPR detection of SFRC-RC composite linings.

关键词： shield tunnel steel fiber reinforced concrete composite lining ground penetrating radar model experiment field test

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Incorporating Tomographic Static Correction in the Seismic Processing of a CBM Reservoir with Complex Surface Conditions

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Journal of Environmental and engineering Geophysics 2024年第4期29卷 143-152页

作者： Rong, Jing Wang, Jiabao Iqbal, Ibrar School of Civil Engineering Guangxi Polytechnic of Construction Guangxi Nanning China Geophysical Survey Center China Geological Survey Hebei Langfang China College of Earth Sciences Guilin University of Technology Guangxi Guilin China

The first step in processing the determination of near-surface velocity structures is critical. In addition to improper static adjustments, a poor near-surface velocity model causes the rays predicted by the model to deviate from their actual ray paths. Due to the cumulative nature of this ray path deviation, even a small error in the near-surface velocity model can result in momentous errors in calculating the ray path and travel time. Furthermore, the deviation can notably degrade the seismic image at depth, particularly in regions with significant lateral velocity variations. A seismic model with significant lateral velocity variations and bare bedrock was built to perform theoretical calculations. The concept of first arrival tomographic static correction was also examined. Numerical simulation techniques were used to study the conditions and application consequences of the first arrival tomographic static correction, providing a reference for the static correction of challenging surface coal bed methane (CBM) seismic data. The findings demonstrate that tomographic static correction is better suited for processing complicated surface CBM seismic data and can effectively handle the problems of surface undulation and lateral velocity fluctuation, which are critical for improving the accuracy of CBM exploration. © 2024 Society of Exploration Geophysicists, Inc. All rights reserved.

关键词： Seismic response

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Effect of Ground Improvement on the Seismic Performance of Quay Wall

Effect of Ground Improvement on the Seismic Performance of Q...

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Indian Geotechnical Conference, IGC 2022

作者： Pushpa, K. Prasad, S.K. Nanjundaswamy, P. Construction Technology and Management J.S.S. Science & Technology University Mysuru570006 India Civil Engineering Vidyavardhaka College of Engineering Mysuru570002 India Controller of Examinations SJCE JSSSTU Mysuru570006 India

ISBN: (纸本)9789819761678

Quay wall failures are mainly attributed to the properties of backfill soil and foundation soil. From the research available in the field of earthquake geotechnical engineering, it is evident that the failure of quay walls during Niigata earthquake of 1964, Bhuj Earthquake of 2001, Sumatra earthquake of 2004 and The Great Tohoku earthquake of 2011 are caused due to the failure of foundation soil and/or backfill soil. It has been observed that the improvement in the ground conditions leads to lesser deformation of seismic structures. It therefore becomes essential to strengthen the backfill soil and the foundation soil by suitable improvement methods and mitigate such catastrophic failures. The problem of liquefaction and associated deformation of backfill and foundation soil can be controlled by various ground improvement techniques such as densification of soil, providing drainage at suitable locations, dewatering, and introducing reinforcements (Kramer and Holtz, National Science Foundation, 1991). As an attempt to achieve improved performance, a detailed study is carried out on the effect of ground improvement adopting reinforced earth technique on backfill soil and foundation soil of quay wall systems. For this purpose, GEOSTUDIO, a finite element software has been used. An analytical model is prepared to represent a quay wall system comprising of the wall, the backfill soil and foundation soil and analyzed in 2D plane strain idealization. The influence of ground improvement on the permanent horizontal displacement, vertical settlement and amount of tilting of quay wall subjected to strong ground motion is studied. A comparative study is also made on the influence of strength and stiffness characteristics of foundation soil and backfill soil on the seismic displacement of the quay wall which will contribute towards performance-based design of seismic structures such as quay walls. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 202

关键词： Quay walls

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Design of flexible pavements through fuzzy inference system with genetic algorithm optimized rule base

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International Journal of Transportation Science and technology 2024年第1期13卷 284-301页

作者： M.A.Jayaram M.Chandana RASTA-Center for Road Technology VOLVO-Construction Equipment CampusPeenya Industrial AreaBengaluru 560058KarnatakaIndia Research Student Department of Civil EngineeringSiddaganga Institute of TechnologyB.H.RoadTumakuruKarnataka 572103India

In this paper,a novel method for the design of flexible pavements is *** method is based on fuzzy inference system with genetic algorithm(GA)aided optimized rule *** model is founded on layered fuzzy antecedent and consequent conjunctive *** data for the model consists of 300 flexible pavement design instances that breaks up in to 25%of the data drawn from research and real field applications and 75%of data generated in spread sheets compliant with Indian road congress(IRC)code *** the first step,the inputs and outputs were fuzzified and around 110 rules were generated using training data *** was implemented to find optimal and a compact rule *** was able to garner 35 rules that are adequate to predict the thickness of base course,sub base and surface course with high *** model with optimized rules was val idated using test data *** results of the evaluation are encouraging with low values of RMSE ranging between 3.6–11 for GSB,binder course(BC)and surface course(SC).The coefficient of determination is also high and between 0.85–0.90 indicating accuracy in pre *** coefficient values stood at an average of 0.92 indicating closeness between predicted and actual values of thickness of courses.

关键词： Flexible pavement Fuzzy system Genetic algorithm Fuzzy rule optimization

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Accuracy assessment of real-time hybrid testing for seismic control of an offshore wind turbine supporting structure with a TMD

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Smart Structures and Systems 2023年第6期31卷 601-619页

作者： Lin, Ging-Long Lu, Lyan-Ywan Lei, Kai-Ting Yeh, Shih-Wei Liu, Kuang-Yen Department of Construction Engineering National Kaohsiung University of Science and Technology 1 University Road Kaohsiung824 Taiwan Department of Civil Engineering National Cheng Kung University 1 University Road Tainan701 Taiwan National Center for Research on Earthquake Engineering Tainan Taiwan

In this study, the accuracy of a real-time hybrid test (RTHT) employed for a performance test of a tuned mass damper (TMD) on an offshore wind turbine (OWT) with a complicated jacket-type supporting structure is quantified and evaluated by comparing the RTHT results with the experimental data obtained from a shaking table test (STT), in which a 1/25-scale model for a typical 5-MW OWT controlled by a TMD was tested. In the RTHT, the jacket-type OWT structure was modelled using both multiple-DOF (MDOF) and single-DOF (SDOF) numerical models. When compared with the STT test data, the test results of the RTHT show that while the SDOF model, which requires less control computational time, is able to well predict the peak responses of the nacelle and TMD only, the MDOF model is able to effectively predict both the peak and over-all time-history responses at multiple critical locations of an OWT structure. This also indicates that, depending on the type of structural responses considered, an RTHT with either an SDOF or a MDOF model may be a promising alternative to the STT to assess the effectiveness of a TMD for seismic mitigation in an OWT context. Copyright © 2023 Techno-Press, Ltd.

关键词： Seismology

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Waste heat recovery, efficient lighting, and proper insulation: a comprehensive study of energy consumption and savings in the residential sector

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Asian Journal of civil engineering 2024年第3期25卷 2499-2508页

作者： Momeni, Saeed Kooban, Farhad Alipouri Niaz, Saman Niyafard, Sahel Soleimani, Alireza Department of Civil Engineering and Environment Faculty of Engineering Khavaran Institute of Higher Education Mashhad Iran Department of Civil and Environmental Engineering The Pennsylvania State University University Park 16802 PA United States Department of Technical and Engineering Construction Management Science and Research Branch. Islamic Azad University Tehran Iran Department of Structural Engineering Iran University of Science and Technology Tehran Iran Department of Energy Engineering Sharif University of Technology Tehran 11365‑11155 Iran

A comprehensive 14-period study was conducted to model the energy system of a residential area. The study aimed to compare actual energy consumption patterns with simulation results and evaluate potential energy savings. Various scenarios were explored, including strategies to reduce heating and cooling demand, implement efficient lighting, and improve insulation. The simulation results revealed that the residential area's current energy consumption amounted to 8.184 GWh of gas and 5.72 GWh of electricity over the 14 cycles. However, implementing the proposed scenarios could result in significant reductions in total energy consumption. The study highlighted the remarkable potential of waste heat recovery, showing that it could lead to a 26% reduction in the system's energy requirements. Additionally, adopting efficient lighting systems could achieve an impressive 40% reduction in electricity consumption. Overall, the study emphasized that energy-efficient measures, such as waste heat recovery, efficient lighting, and insulation, can contribute to a more sustainable and efficient residential energy system. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Energy efficiency Energy modeling Insulation Lighting Residential area Waste heat recovery

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Brief Discussion of Computer Simulation Analysis for Acoustic Parameters in Radio and Television Media Building

Brief Discussion of Computer Simulation Analysis for Acousti...

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2024 International Conference Optoelectronic Information and Optical engineering, OIOE 2024

作者： Wu, Chao Hu, Fei Wang, Xinshuang Zou, Yuan Guo, Jian General Contraction Company China Construction Third Engineering Bureau Co. Ltd. Wuhan430064 China School of Civil Engineering and Architecture Wuhan University of Technology Wuhan430070 China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

The article provides a brief exploration of the methods and feasibility of using computer simulation techniques to analyze acoustic parameters in radio and television media buildings. By simulating the impact of various acoustic parameters on the internal sound environment of the buildings, it offers a theoretical foundation and technical support for achieving optimized acoustic design and enhancing acoustic performance. The research results indicate that computer simulation technology holds vast potential for application in the acoustic design and analysis of radio and television media buildings. © 2025 SPIE.

关键词： Reverberation

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Research on Key construction Technologies for Large Span V-shaped Pier Rigid Frame Bridges

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ce/papers 2025年第2期8卷 1343-1357页

作者： Yang, Feng Huang, Xiaomin Yi, Zhiqiang Chen, Yingna Shen, Qing Ru, Xinglun Zhou, Tao Liu, Yunlong China Aluminum Southwest Construction Investment Co. Ltd. Yunnan China Faculty of Civil Engineering and Architecture Kunming University of Science and Technology Kunming Yunnan650500 China Yunnan Zhengfa Engineering Design Co. Ltd. Yunnan China

The V-shaped pier rigid frame bridge has flexible lines and smooth structure. How to effectively choose the appropriate construction design scheme to reduce the stress on the bridge is the key to bridge construction. In this paper, the structural optimization scheme of the bridge is obtained through finite element software simulation analysis, the pre-stressing system and camber degree are optimized, and the height and other aspects of the bridge are analyzed. Through simulation optimization, the stress distribution of V-shaped pier rigid frame bridge can be analyzed. And by improving the influence of structural parameters such as inclination ratio a and height ratio b, a bridge structure with more reasonable stress distribution can be obtained. Based on this design scheme, the key technology for the construction of large-span V-shaped pier rigid bridge is studied, and through the optimisation of the process, the structure of the bridge is made more stable, and finally, the optimised structural parameters are the inclination ratio a is selected as 0.48, and the height ratio b is 4.93. At this time, the tensile stresses on the outer limb legs and the bottom of the pier base are effectively reduced, and it provides the idea for the development of similar projects. © 2025 Ernst & Sohn GmbH.

关键词： Structural optimization

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A multi-objective design method for seismic retrofitting of existing reinforced concrete frames using pin-supported rocking walls

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Frontiers of Structural and civil engineering 2022年第9期16卷 1089-1103页

作者： Yue CHEN Rong XU Hao WU Tao SHENG Institute of Engineering Mechanics China Earthquake AdministrationKey Laboratory of Earthquake Engineering and Engineering Vibration of China Earthquake AdministrationHarbin 150088China Research Center of Industrialization Construction Technology of Zhejiang Province Ningbo University of TechnologyNingbo 315106China State Key Laboratory of Disaster Reduction in Civil Engineering Tongji UniversityShanghai 200092China College of Civil and Environmental Engineering Ningbo UniversityNingbo 315211China

Over the past several decades,a variety of technical ways have been developed in seismic retrofitting of existing reinforced concrete frames(RFs).Among them,pin-supported rocking walls(PWs)have received much attentions to researchers ***,it is still a challenge that how to determine the stiffness demand of PWs and assign the value of the drift concentration factor(DCF)for entire systems rationally and *** this paper,a design method has been exploited for seismic retrofitting of existing RFs using PWs(RF-PWs)via a multi-objective evolutionary ***,the method has been investigated and verified through a practical ***,a parametric analysis was executed to exhibit the strengths and working mechanism of the multi-objective design *** sum up,the findings of this investigation show that the method furnished in this paper is feasible,functional and can provide adequate information for determining the stiffness demand and the value of the DCFfor ***,it can be applied for the preliminary design of these kinds of structures.

关键词： pin-supported rocking wall reinforced concrete frame seismic retrofit stiffness demand drift concentration factor multi-objective design genetic algorithm Pareto optimal solution

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Predicting Cutter Wear in Shield Tunneling construction Using Machine Learning: A Case Study from Chunfeng Road Tunnel Project in China 5th

Predicting Cutter Wear in Shield Tunneling Construction Usin...

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5th International Conference on Information technology in Geo-engineering, ICITG 2024

作者： Ding, Xiaobin Yuan, Linxuan Huang, Weiran School of Civil Engineering and Transportation South China University of Technology Guangdong Guangzhou510641 China Guangdong Provincial Key Laboratory of Modern Civil Engineering Technology South China Institute of Geotechnical Engineering Guangdong Guangzhou510641 China Guangzhou Rail Transit Construction Supervision Co. Ltd. Guangzhou510010 China

ISBN: (纸本)9783031765278

Shield tunneling construction is a predominant method in metro infrastructure development, where the wear of tunnel boring machine (TBM) cutters is a critical issue that slows down its construction. The factors affecting cutter wear are multifaceted and complex. Traditional empirical formulas tend to oversimplify, being limited to specific engineering contexts and exhibiting low generalizability. Conventional cutter replacement is immensely time-consuming and labor-intensive. This study explored the application of machine learning techniques to predict cutter wear, utilizing six different models: Back Propagation Neural Network (BPNN), Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), and Convolutional Neural Network (CNN). A comparative analysis is established to evaluate the suitability of these algorithms for this task. Data sourced from the 15.2m diameter Chunfeng Road Tunnel project in Shenzhen, China, was enriched by proportionally distributing cumulative wear across each tunnel ring, followed by outlier removal using boxplot methodology and normalization of the data. Hyper-parameter optimization, including grid search techniques, is applied to model optimization. The outcomes revealed the 1D-CNN model’s superior ability to predict cutter wear trends, yielding a test set R2 of 0.872 and MAPE of 0.077, outperforming other machine learning models. Additionally, in cumulative cutter opening sections, the 1D-CNN model only has three sections with error percentages exceeding the 30% margin, satisfying the accuracy requirements. Extensive experimental investigations revealed that the 1D-CNN is preferentially selected for this cutter wear prediction task, providing empirical insights beneficial for cutter replacement decisions in construction. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

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