With the advancement of image processing technology, buildings, streets, and other scenes can now be displayed in 3D panoramas. This study employs 3D panoramic roaming technology, based on the spherical panoramic imag...
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In this article, we examine the technology of solar lighting in terms of increasing the level of insolation in classrooms and reducing electricity bills, improving the comfort of employees and students, considering th...
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With the advent of the big data era and the rise of Industrial Revolution 4.0,digital twins(DTs)have gained sig-nificant attention in various *** offer the opportunity to combine the physical and digital worlds and aid...
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With the advent of the big data era and the rise of Industrial Revolution 4.0,digital twins(DTs)have gained sig-nificant attention in various *** offer the opportunity to combine the physical and digital worlds and aid the digital transformation of the civilengineering *** this paper,605 documents obtained from the search werefirst analysed using CiteSpace for literature visualisation,and an author co-occurrence network,a keyword co-occurrence network,and a keyword clustering set were ***,through a literature review of 86 papers,this paper summarises the current status of DT application in civilengineering based on a review of the origins,concepts,and implementation techniques of DTs,and it introduces the application of DTs in the full project *** study shows that DTs have great potential to address many of the challenges faced by civil *** this regard,the paper also presents some thoughts on the future directions of DT research.
Objective: The seismic data monitoring is important for resource distribution, capacity planning, quality of service analysis, error monitoring and isolation, and safety management. The seismic optimization of buildin...
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English writing proficiency undoubtedly stands as a crucial metric in assessing students' English ability. It not only mirrors their vocabulary accrual and grammatical proficiency but also underscores their logica...
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The key to structural health monitoring in civilengineering is to optimize the configuration of sensors in the monitoring system to improve diagnostic accuracy and reduce the consumption of computing resources. In th...
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The prevention and control of air pollution is an important issue of social concern at present. With the acceleration of urbanization and the improvement of industrialization level, air pollution poses a serious threa...
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Infrared thermography (IRT) is an effective diagnostic methodology for existing buildings monitoring, whose efficiency is however affected by the operator’s technical knowledge. This paper presents experimental resea...
To investigate the vibration response of the comprehensive transportation hub structure under multiple-source excitations,an on-site vibration measurement was carried out at Wuhan Railway Station in *** characteristic...
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To investigate the vibration response of the comprehensive transportation hub structure under multiple-source excitations,an on-site vibration measurement was carried out at Wuhan Railway Station in *** characteristics of each floor vibration were obtained through the time domain and frequency domain *** on the vibration characteristic under multiple-source excitations,the proposed attenuation model was *** addition,a vibration comfort evaluation on the Wuhan Railway Station was *** results show that the effect of the number of vibration sources on horizontal acceleration is more significant than that regarding vertical *** the structure is under the effects two vibration sources with different frequencies,a high-frequency vibration can amplify a low-frequency *** derived attenuation model can precisely predict the vibration attenuation and reduce the subsequent vibration test *** on the annoyance rate model result,the annoyance rate of Wuhan Railway Station is high,which is harmful to the staff of the station.
Traditional machine learning(ML)encounters the challenge of parameter adjustment when predicting the compressive strength of reclaimed *** address this issue,we introduce two optimized hybrid models:the Bayesian optim...
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Traditional machine learning(ML)encounters the challenge of parameter adjustment when predicting the compressive strength of reclaimed *** address this issue,we introduce two optimized hybrid models:the Bayesian optimization model(B-RF)and the optimal model(Stacking model).These models are applied to a data set comprising 438 observations with five input variables,with the aim of predicting the compressive strength of reclaimed ***,we evaluate the performance of the optimized models in comparison to traditional machine learning models,such as support vector regression(SVR),decision tree(DT),and random forest(RF).The results reveal that the Stacking model exhibits superior predictive performance,with evaluation indices including R2=0.825,MAE=2.818 and MSE=14.265,surpassing the traditional ***,we also performed a characteristic importance analysis on the input variables,and we concluded that cement had the greatest influence on the compressive strength of reclaimed concrete,followed by ***,the Stacking model can be recommended as a compressive strength prediction tool to partially replace laboratory compressive strength testing,resulting in time and cost savings.
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