|Table of Contents|

Present Situation and Prospect of Intelligent Demolition Technology for Long-span Prestressed Concrete Bridge(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2022年04期
Page:
1-23
Research Field:
Publishing date:

Info

Title:
Present Situation and Prospect of Intelligent Demolition Technology for Long-span Prestressed Concrete Bridge
Author(s):
LIU Yong-jian1; 2; 3;  TANG Zhi-wei1; 3;  XIAO Jun3; 4;  LIU Jiang1; 3;  GONG Bo-xu1; 3;  WANG Zhuang1; 3
(1.School of Highway,Chang'an University,Xi'an 710064,Shaanxi,China;2.Research Center of Highway Large Structure Engineering on Safety,Ministry of Education,Chang'an University,Xi'an 710064,Shaanxi,China;3.Shaanxi Province “Four Bodies-One Union” College-Enterprise Union Research Center of Bridge Engineering Intelligent Construction Technology,Xi'an 710199,Shaanxi,China;4.Engineering Design and Research Institute of CCCC Second Highway Engineering Bureau Co.,Ltd,Xi'an 710199,Shaanxi,China)
Keywords:
long-span prestressed concrete bridge;  intelligent demolition;  life cycle;  condition assessment;  digital twin;  new generation of information technology
PACS:
U445.6
DOI:
10.19815/j.jace.2022.03028
Abstract:
In order to achieve the safety and controllability of the demolition of long-span prestressed concrete bridges, the concept of intelligent bridge demolition based on digital twin technology was made clear by analyzing the characteristics and existing technical problems of bridge demolition. The development stage of intelligent bridge demolition technology was clarified. The application prospects of intelligent bridge demolition based on digital twin technology were forecasted and the research status of digital twin technology in bridge engineering was reviewed. Combined with a bridge demolition project, the internal force state prediction and control accuracy of bridge demolition process were continuously improved to avoid the secondary damage of reuse components through the exploration and application of digital twin technology. The results show that the demolition of long-span prestressed concrete bridges has the characteristics of uncertain internal force state under dead load and uncontrollable construction state. The structural mechanical behavior is an instantaneous release process during the demolition. When the dead load bending moment of the main beam can not match the positive bending moment provided by the prestress, there is a risk of floor cracking and roof collapse at the beam section of the pier-beam junction. The structural performance of the service bridge continues to deteriorate under the long-term coupling effect of load and environment. Due to the insufficient maintenance, the bridge enters the period of high disease incidence prematurely, and it is urgent to maintain and strengthen to improve the structural performance. However, the degradation rate of structural performance of overtreatment bridge structure will continue to accelerate after long-term operation, which will greatly shorten the service life of the bridge. Therefore, taking appropriate maintenance measures at the best maintenance time can effectively prolong the service life of the bridge. However, a series of maintenance and reinforcement measures will make accurate assessment and prediction of bridge structure more difficult. With the help of a new generation of information technology, intelligent bridge demolition can grasp the real stress state of the whole process of bridge demolition in real time. Through data-driven virtual bridge in the demolition process, self-perception, self-evolution, self-learning, self-assessment, self-decision-making and self-execution are carried out, and the construction innovation mode of man-machine collaborative demolition and automatic intelligent demolition is gradually realized. With the help of three-dimensional laser scanner and electronic total station, the digital reconstruction of the bridge structure is carried out to accurately grasp the dead load distribution of the bridge and the weight of the removed beam section. Through the state inversion method, the state verification and model correction of the appearance disease before the demolition and the structural response during the demolition are carried out. The cause and evolution law of the disease are clarified, the internal force state of the structure under dead load is mastered, and the monitoring threshold is dynamically adjusted to gradually approach the real stress state of the bridge, so as to identify the risk conditions in advance and take active and efficient safety control measures to realize the accurate prediction and control of the bridge demolition process. Accurate measurement, damage detection, durability test and long-term performance real-time monitoring of reusable components after bridge demolition are helpful to improve the measurement accuracy and efficiency of digital detection technology and promote the study of long-term performance evolution law of bridge structures. The research direction of bridge intelligent demolition based on digital twin technology should focus on the research of nondestructive testing technology and quantitative analysis method of bridge damage components, bridge structure disease and long-term performance evolution law, fine simulation technology of existing damaged bridge structure, bridge intelligent monitoring system based on internet of things technology, automatic construction technology of intelligent demolition robot based on data-driven and digital model construction, use, maintenance and management system in the whole life cycle of bridge.

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Last Update: 2022-07-10