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Gender differences in air movement preference after moderate-intensity exercise

Frontiers of Architectural Research 2025年第1期14卷 198-209页

作者： Shiwu Zhang Shengkai Zhao Zhen Sun Yongchao Zhai Shanghai Jiao Tong University School of Naval ArchitectureOcean and Civil EngineerinShanghai 200230China China Construction Eighth Engineering Division.Corp.LTD Shanghai 200120China College of Architecture Xi’an University of Architecture and TechnologyXi’an 710055China State Key Laboratory of Green Building Xi’an University of Architecture and TechnologyXi’an 710055China

This study investigates the air movement preference of males and females aftermoderate-intensity exercise. 35 participants dressed in 0.6 clo exercised for 15 min in a roomat 30℃ and then entered another room at 24℃/26℃/28℃. During the experiment, participants were able to adjust the fan speed according to their own thermal comfort needs. Theresults indicate that after a change in metabolic rate, female prefer higher fan usage andgreater air movement compared to males. When the body returns to thermal comfort, malehave higher fan usage and prefer higher air movement than female. There were no differencein subjective evaluation and skin temperature between female and male. However, the skinevaporative heat loss of female was significantly lower than that of male. The correlation between air temperature, air speed and the time after entering the room tailored to the thermalrequirements of distinct genders following moderate-intensity exercise has been established,which can provide a comprehensive control strategy for achieving both comfortable and energy-efficient thermal environments.

关键词： Thermal comfort Air movement Gender differences Metabolic down-step transient

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Exploring a recurrent neural network (RNN) earned value based model for predicting lost labour value in construction projects

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Discover civil engineering 2024年第1期1卷 1-18页

作者： Egwunatum, Samuel I. Osadola, Opeyemi A. Oboshior, Joel Department of Quantity Surveying Construction Economics Unit Federal University of Technology Owerri Nigeria Department of Construction Federal University of Technology Owerri Nigeria Department of Civil Engineering Ambrose Alli University Ekpoma Nigeria

This study explores the application of deep learning techniques in forecasting labour losses in construction projects. By leveraging the predictive capabilities of ManHour Earned and Estimated ManHour values, this research aims to develop an accurate and reliable model for labour loss forecasting. Utilizing a dataset comprising 105 work items from industry practitioners who employed the Leonard and Moselhi methodology, this study investigates the efficacy of a Recurrent Neural Network (RNN) architecture with Long Short-Term Memory (LSTM) cells. The model's performance is optimized through backpropagation and hyperparameter tuning, focusing on key parameters such as learning rate, batch size, dropout rate, and number of epochs. To ensure the model's generalizability and mitigate overfitting, regularization strategies and performance monitoring are employed. The predictive potential of the model is evaluated through integration into a real-time sequence production job and deployment into an enabled environment. Results demonstrate the model's capacity for accurate labour loss forecasting, enabling proactive measures to enhance productivity and minimize unnecessary claims. Although this study focuses on building projects, its findings have broader implications for process and manufacturing engineering, where productivity losses and associated labour losses are significant concerns. The practical application of this research lies in its potential to assess and counter labour loss claims, disputes, warrants, and demands in construction projects, ultimately contributing to improved project management and reduced financial losses.

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Deep learning-based chatbot by natural language processing for supportive risk management in river dredging projects

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engineering Applications of Artificial Intelligence 2024年 131卷

作者： Chou, Jui-Sheng Chong, Pei-Lun Liu, Chi-Yun Department of Civil and Construction Engineering National Taiwan University of Science and Technology Taipei Taiwan UTRUST Technology Co. Ltd Taipei Taiwan

Dredging projects play a vital role in water conservation, especially for flood control, but they often encounter natural and human-induced risks. This study addresses these challenges by creating a comprehensive knowledge base for dredging risks. This knowledge base serves several essential functions: it aids in immediate and thorough risk prevention, provides practical risk management recommendations, and assists dredging personnel in making informed decisions when dealing with risks. Furthermore, the study introduces an advanced deep-learning model that enhances access to critical information. Users can quickly find relevant risk prevention strategies by inputting keywords. The model's distinctive feature is its ability to analyze unforeseen risks through natural language processing, predict the potential impact and frequency of unexpected events, and propose appropriate risk response measures. This empowers dredging personnel to conduct preliminary risk assessments confidently. The deep learning model seamlessly integrates into LINE's communication platform, creating a river dredging project risk knowledge chatbot. This user-friendly chatbot is accessible to personnel at all project stages, enabling real-time interaction. It offers a practical way to develop and implement risk prevention plans and response measures. In summary, this research presents an innovative approach that enhances the efficiency and safety of dredging projects. By merging a knowledge base with cutting-edge technology and real-time communication, it equips dredging personnel to manage known and unforeseen risks proficiently, ultimately contributing to the success of water conservancy and flood control projects. © 2023 Elsevier Ltd

关键词： Expert systems

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Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering

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Journal of Rock Mechanics and Geotechnical engineering 2022年第3期14卷 671-673页

作者： Wengang Zhang Kok-Kwang Phoon School of Civil Engineering Chongqing UniversityChina Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChina National University of Singapore Singapore Singapore University of Technology and Design SingaporeSingapore

We are privileged to be invited by the Honorary Editor-in-Chief,Professor Qihu Qian,Editor-in-Chief,Professor Xia-Ting Feng,and the editorial staff of the Journal of Rock Mechanics and Geotechnical engineering(JRMGE),to serve as Guest Editors for this Special Issue(SI).The purpose of this SI is to review the latest development of machine learning(ML)techniques including the soft computing(SC)and deep learning(DL)methods as well as their key applications in geotechnical underground engineering problems.

关键词： computing learning underground

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A Real-Time Monitoring System for Cable Tension with Vibration Signals Based on an Automated Algorithm to Sieve Out Reliable Modal Frequencies

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Structural Control and Health Monitoring 2023年第1期2023卷

作者： Wu, Wen-Hwa Chen, Chien-Chou Lin, Shang-Li Lai, Gwolong Department of Civil and Construction Engineering National Yunlin University of Science and Technology Yunlin640 Taiwan

Cables or suspenders are the critical force-transmitting components of cable-supported bridges, and their timely tension monitoring is consequently the most important issue in the corresponding structural health monitoring. However, very few works regarding the full automation of vibration-based tension estimation have been reported in the literature. To develop a monitoring system of cable tension based on real-time vibration signals, this research first employs an efficient stochastic subspace identification (SSI) method with tailored parameter selection to continuously identify the three frequencies of adjacent modes for the cables of Mao-Luo-Hsi Bridge. More importantly, an automated sieving algorithm is delicately established to obtain the stable modal frequencies by making the best of the specific modal frequency distribution for cables. The ratios between the frequency values identified from SSI analysis are exhaustively checked to systematically extract the qualified cable frequencies and decide their corresponding mode orders. The tension is finally computed with one available cable frequency according to the priority order predetermined by the statistics of identification rate. Demonstrated by analyzing the vibration signals measured from the stay cable of Mao-Luo-Hsi Bridge in real time for two full years, the effectiveness and robustness of this real-time monitoring system have been extensively testified. The long-term success rates for the immediate determination of dependable tension are found to be perfect for 15 of the 18 investigated cables. As for the other three cables, their corresponding success rates are still higher than 99.99% with very few cases of absent or false tension values. © 2023 Wen-Hwa Wu et al.

关键词： Stochastic systems

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Optimal parameters of tuned mass damper for the reduction of wind-induced vibration of high-rise buildings 71

Optimal parameters of tuned mass damper for the reduction of...

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71st International Conference on Vibroengineering

作者： Tan, Ke Xie, Yiming Cao, Fuchao Wang, Yiping Dong, Yinfeng Chongqing Design Group Co. Ltd. Chongqing China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing University Chongqing China School of Civil Engineering Chongqing University Chongqing China

At present, the use of a tuned mass damper (TMD) to control structural dynamic response under wind or earthquake excitations has become a common method for many high-rise structures. In previous studies, the amplitude of structural dynamic response which is usually viewed as a stochastic process is rarely used as a parameter to evaluate the vibration mitigation performance of a TMD system. In this paper, the motion equations of the structures controlled by a TMD system under wind excitation are established first. Then, the vibration mitigation performance of the TMD system under wind load is analyzed from the point of view of the reduction of the amplitude of response stochastic processes, during the analysis the influence of mass ratio is also taken into account. Finally, the vibration reduction coefficients are obtained as a function of frequency ratio and damping ratio, and the optimal frequency ratio and damping ratio of TMD system can be determined for which the minimum vibration reduction coefficient is achieved. The analysis results show that compared with the uncontrolled structure, the optimization method based on vibration reduction coefficient greatly reduces the amplitude of structure response under wind load and has certain adaptability and reliability. © 2024 JVE International. All rights reserved.

关键词： Vibration analysis

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Evaluation of Ultimate Axial Strain Models for Fiber-Reinforced Polymer-Confined Concrete Cylinders 5

Evaluation of Ultimate Axial Strain Models for Fiber-Reinfor...

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2023 5th International Conference on Advanced Materials and Ecological Environment, AMEE 2023

作者： Chen, Junwei Wang, Yong Zhang, Yafeng Liang, Meng Shandong Quality Inspection and Testing Center of Construction Engineering Co. Ltd. Shandong Jinan China Shandong Academy of Building Research Co. Ltd. Shandong Jinan China Shandong Jianyan Testing and Inspection Technology Co. Ltd. Shandong Jinan China Tengzhou Engineering Construction Service Center Shandong Jinan China School of Civil Engineering and Architecture University of Jinan Shandong Jinan China

Fiber-reinforced polymer (FRP) composite has been widely applied to reinforce and rehabilitate concrete columns in civil engineering. It is necessary to deeply understand the ultimate deformation (i.e., the ultimate axial strain ϵcc ) of FRP-confined concrete columns. A large database including different types of FRP (conventional FRP and large-rupture-strain FRP), concrete compressive strengths (19.4 MPa-169.7 MPa), and cylinder sizes (51 mm-508 mm), as well as various concrete types, is collected in this study. For this reason, several existing ultimate axial strain modes for FRP-confined cylinders have been evaluated via some statistical parameters based on the database. The verification results illustrate that the prediction accuracy of axial strain models is not good enough due to the intrinsic difficulty in predicting deformation and variability of data source, although the available models with better performance can achieve the average ratio between experimental and predicted strain value ( ϵccexpe/ϵccpred ) below 10%. © Published under licence by IOP Publishing Ltd.

关键词： Cylinders (shapes)

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IoT sensor-based BIM system for smart safety barriers of hazardous energy in petrochemical construction

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Frontiers of engineering Management 2022年第1期9卷 1-15页

作者： Lieyun DING Weiguang JIANG Cheng ZHOU School of Civil&Hydraulic Engineering Huazhong University of Science&TechnologyWuhan 430074China Hubei Engineering Research Center for Virtual Safe and Automated Construction(ViSAC)Wuhan 430074China

The accidental release of hazardous energy is one of the causes of construction site *** risk is considerably increased during petrochemical plant construction because the project itself is complex in terms of process,equipment,and *** addition,a general construction safety barrier hardly isolates and controls site hazardous energy ***,this study proposes an Internet of Things(IoT)sensor-based building information modeling(BIM)system,which can be regarded as a new smart barrier design method for hazardous energy in petrochemical *** this system,BIM is used to support the identification of on-site hazardous energy,whereas IoT is used to collect the location of on-site personnel in real time.A hazardous energy isolation rule is defined to enable the system to generate a smart barrier on the web terminal window,thereby ensuring the safety of on-site *** system has been applied to a large-scale construction project in Sinopec for one year and accumulated substantial practical data,which supported the idea about the application of sensor and BIM technology in *** related effects of the system on hazardous energy management are also presented in this work.

关键词： IoT BIM smart safety barrier hazardous energy management petrochemical construction

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Research on buffer structure and flow field simulation of swash plate plunger type hydraulic transformer

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High technology Letters 2022年第4期28卷 425-433页

作者： WANG Xiaojing HUO Shuhang LI Wenjie Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicle Beijing University of Civil Engineering and ArchitectureBeijing 102616P.R.China Beijing Engineering Research Center of Monitoring for Construction Safety Beijing University of Civil Engineering and ArchitectureBeijing 102616P.R.China School of Mechanical and Power Engineering Harbin University of Science and TechnologyHarbin 150080P.R.China

In order to solve the problem of excessive noise and vibration during the operation of the hydraulic transformer,an optimization method of valve plate damping hole structure is proposed to alleviate the phenomenon of pressure ***,the mathematical model of oil pressure gradient in the plunger cavity is established,and the incremental equation of pressure change is ***,a kind of buffering structure is proposed,the corresponding relationship between the pressure change and the envelopment angle of the buffering hole and the aperture size is determined by analyzing the oil pressure change curve in the plunger ***,the flow field models with buffering holes are established,and the transient simulation of the pressure change process under the optimal solution is carried out with ANSYS software and the flow field pressure distribution contours are *** the analysis of simulation results,it is concluded that the optimal envelope angle of the three buffer holes ofA-T-B-Ais 5°,and the optimal aperture is 1.8 mm,1.6 mm,and 1.7 mm,*** buffer hole can achieve a better-buffering effect in the range of variable pressure angle[0°,101°].The buffer hole structure can effectively alleviate the pressure shock and reduce the noise level,which lays a foundation for the design and theoretical research of hydraulic transformers.

关键词： hydraulic transformer pressure shock buffer structure flow field simulation dynamic grid

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A review of bio-inspired geotechnics-perspectives from geomaterials,geo-components,and drilling&excavation strategies

Biogeotechnics

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Biogeotechnics 2023年第3期1卷 52-65页

作者： Wengang Zhang Jiaying Xiang Ruijie Huang Hanlong Liu Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing 400045China School of Civil Engineering Chongqing UniversityChongqing 400045China National Joint Engineering Research Center of Geohazards Prevention in the Reservoir Areas Chongqing UniversityChongqing 400045China

As urbanization progresses,the demand for high-rise buildings and underground spaces is growing,and the need for firm geotechnical construction materials,efficient excavation methods,accurate testing instruments,and innovative geotechnical engineering theories and technologies is *** investigating the phenomena of strengthening and toughening in nature,hydrophobic and ice-phobic,friction anisotropy and drilling as well as excavation,etc,researchers have found that organisms have distinctive external morphology and *** imitating the external morphology,structural characteristics or movement mechanism of organisms,novel ideas,new principles,and innovative theories can be provided for the innovation and sustainable development of geotechnical *** paper mainly expounds on the bio-inspired application in geotechnical engineering from three perspectives:geo-materials,geotechnical components,and drilling&excavation equipment,and lists typical application *** conclusion,this paper presents a summary and prospects of bio-inspired geotechnical engineering,offering fundamental insights for future research.

关键词： Bio-inspiration Geotechnical engineering Bio-inspired materials Bio-inspired component Bio-inspired equipment

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