Research on Construction Quality Monitoring and Evaluating Technology of Soil-Cement Mixing Piles

2021 ◽  
Vol 58 (1) ◽  
pp. 85-91
Author(s):  
Yu Wan ◽  
Lei Song ◽  
Zhiduo Zhu ◽  
Yuyi Peng
2011 ◽  
Vol 99-100 ◽  
pp. 768-772
Author(s):  
Ming Ru Zhou ◽  
Hao Jie Zhang ◽  
Ying He ◽  
Zhao Feng Ding ◽  
Xing Zhou Luo

Combining with a large number of concrete test and the moving reconstruction project of Qingyang petrochemical about three million tons, by adjusting “advance maintenance time”, monitor and research on the construction quality of mixed composite pumping antifreeze ordinary concrete in winter. Then provide reference and theoretical basis for construction of this winter antifreeze mixed composite pumping concrete.


2015 ◽  
Vol 49 ◽  
pp. 100-112 ◽  
Author(s):  
Yuxi Liu ◽  
Denghua Zhong ◽  
Bo Cui ◽  
Guiliang Zhong ◽  
Yongxin Wei

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 577
Author(s):  
Ziyuan Ma ◽  
Jingxiao Zhang ◽  
Simon P. Philbin ◽  
Hui Li ◽  
Jie Yang ◽  
...  

With the rapid development of new technologies, such as big data, the Internet of Things (IoT) and intelligent sensing, the traditional asphalt pavement construction quality evaluation method has been unable to meet the needs of road digital construction. At the same time, the development of such technologies enables a new management system for asphalt pavement construction. In this study, firstly, the dynamic quality monitoring system of asphalt concrete pavement is established by adopting the BeiDou Navigation Satellite System, intelligent sensing, the IoT and 5G technology. This allows key technical indicators to be collected and transmitted for the whole process of asphalt mixture, which includes the mixing plant, transport vehicle, paving and compaction. Secondly, combined with AHP and the entropy weight (EW) method, the index combination weight is calculated. The comprehensive index for the pavement digital construction quality index (PCQ) is proposed to reflect the impact of monitoring indicators on pavement quality. An expert decision-making model is formed by using the improved particle swarm optimization (PSO) algorithm coupled with radial basis function neural network (RBF). Finally, the digital monitoring index and pavement performance index are connected to establish a full-time and multi-dimensional digital construction quality evaluation model. This study is verified by a database created from the digital monitoring data of pavement construction collected from a highway construction project. The system proposed in this study can accurately reflect the quality of pavement digital construction and solve the lag problem existing in the feedback of construction site.


2014 ◽  
Vol 580-583 ◽  
pp. 2120-2123
Author(s):  
Xin Quan Wang ◽  
Hong Li ◽  
Shang Yu Han

The phenomenon of the actual situation leave the design index is very common during the civil project construction especially in the coastal levee construction. As the way to reduce the probability of diseases occurrence, from the aspect of quality accident analysis, construction quality monitoring moisture, quality inspection and accident early warning system, the paper studied the levee construction quality control monitoring system deeply and advanced some useful conclusion.


2018 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Walter Manuel Vicharra ◽  
Carlos Cabrera

The main objective of esta research is to determine the level of concentration of particulate materials of the size of 10 microns and 2.5 microns of an artisanal foundry, and to Evaluate the health in workers' respiratory diseases, as well as to find a relationship Between the particulate materials and the respiratory diseases, Which the project is located in the district of San Antonio, Department of Huarochiri, Department of Lima, Peru - 2017. The gravimetric analysis method approved by the General Directorate of Environmental Health DIGESA was used, with the Protocol for air quality monitoring and data management, to determine the level of concentration of particulate material and on the other hand Health Assessments in respiratory diseases Were used a survey made by a doctor in pulmonology, Which was Then backed by medical examinations performed on workers. It was Determined That the particulate materials of 10 microns and 2.5 microns Were above environmental quality standards, Which is Considered as risky for the health of people, and in respiratory diseases it was Concluded That some of the subjects of the population of study are With occupational diseases.


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