A BIM-Based Visual Warning Management System for Structural Health Monitoring Integrated with LSTM Network

Hou, Gongyu; Li, Le; Xu, Zhedong; Chen, Qinhuang; Liu, Yijun; Qiu, Bing

doi:10.1007/s12205-021-0565-0

Cited by 22 publications

(12 citation statements)

References 34 publications

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“…Lu et al (2020b) linked DynamoDB, a 'Not only SQL (NoSQL)' database supported by Amazon web services, with wireless sensor networks and IoT technology for developing building, asset, and space management systems. Hou et al (2021) proposed a 'Web-BIM' technology to convert the IFC file of the initial model built to a JSON format file and to act as a more accessible tool for visualizing the final 3D digital BIM model. It facilitates the creation of a lightweight model from the initial one for a faster and more efficient means of rendering and uploading the model to the end user's visualization.…”

Section: Theoretical and Software Development In Dts Relating To Shmmentioning

confidence: 99%

Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure

Sakr,

Sadhu

2024

Smart Mater. Struct.

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Digital Twins (DTs) have witnessed a paramount increase in interest in multidisciplinary engineering systems. With advancements in Structural Health Monitoring (SHM) methods and implementations, DT-based maintenance and operation stages have been implemented significantly during the life cycle of civil infrastructure. Recent literature has started laying the building blocks for incorporating the concept of DTs with SHM of large-scale civil infrastructure. This paper undertakes a systematic literature review of studies on DT-related applications for SHM of civil structures. It classifies the articles based on thematic case studies: transportation infrastructure (i.e., bridges, tunnels, roads, and pavements), buildings, off-shore marine infrastructure and wind turbines, and other civil engineering systems or assets. The proposed review is further uniquely sub-classified using diverse modelling approaches such as Building Information Modeling, Finite Element Modeling, 3D representation, surrogate and hybrid modeling used in DT implementations. This paper is solely focused on applications relating DTs to SHM practices for various civil engineering infrastructures, disregarded implementations in the fields of manufacturing, aerospace, education, health, and others, and deals with all technological advancements used in this specific field of study hence highlighting its novelty over previous reviews. Gaps and limitations emerging from the systematic review are presented, followed by the articulation of future research directions and key conclusions.

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Section: Theoretical and Software Development In Dts Relating To Shmmentioning

confidence: 99%

Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure

Sakr,

Sadhu

2024

Smart Mater. Struct.

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“…For the above mechanical model, the original secondary stress field distribution shown in the model is solved based on the Drucker‐Prager yield criterion and Levy–Mises plastic constitutive relation, 30,31 and the following formula is obtained:

\left\{\begin{array}{c}{\sigma }_{r}^{p}=\tfrac{k}{3\alpha }{\left(\tfrac{r}{{R}_{0}}\right)}^{\tfrac{6\alpha }{1-3\alpha }}-\tfrac{k}{3\alpha },\\ {\sigma }_{\theta }^{p}=\tfrac{1+3\alpha }{1-3\alpha }\tfrac{k}{3\alpha }{\left(\tfrac{r}{{R}_{0}}\right)}^{\tfrac{6\alpha }{1-3\alpha }}-\tfrac{k}{3\alpha },\\ {R}_{p}={R}_{0}{\left[\tfrac{(1-3\alpha )(3\alpha \gamma H+k)}{k}\right]}^{\tfrac{1-3\alpha }{6\alpha }},\\ {\sigma }_{z}^{p}=\tfrac{{\sigma }_{r}^{p}+{\sigma }_{\theta }^{p}}{2},\end{array}\right.

where

{\sigma }_{r}^{p}

{\sigma }_{\theta }^{p}

, and

{\sigma }_{z}^{p}

are the radial stress, tangential stress, and axial stress of the surrounding rock in the plastic zone, respectively;

H

is the buried depth of the coal seam;

\gamma

is the average unit weight of...…”

Section: Mechanical Criterion Of Creep Rockburst Occurrencementioning

confidence: 99%

“…For the above mechanical model, the original secondary stress field distribution shown in the model is solved based on the Drucker-Prager yield criterion and Levy-Mises plastic constitutive relation, 30,31 and the following formula is obtained:…”

Section: Relationship Between Ground Stress and Creep Rockburstmentioning

confidence: 99%

Static creep rockburst mechanism and CT inversion verification of deep thick coal seam roadways

Zhang

Zhao

2022

Energy Science & Engineering

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Compared with the traditional “dynamic‐static” load rockburst induced by working face mining, a new typical disaster with concealment characteristics has appeared in deep thick coal seam roadways, namely, static creep rockburst, the occurrence mechanism of which remains unclear. Through the method of combining theory with practice, this paper elucidated the mechanical mechanism of static creep rockburst of deep thick coal seam roadways, along with the CT inversion of its rockburst risk. Next, by establishing the creep model and three‐dimensional creep formula under static conditions, it was observed that the main conditions for the unstable creep of deep thick coal seam roadway were high stress and thick coal seam. In addition, by analyzing the unstable creep failure process of surrounding rock in static roadways, it was found that the weakening of surrounding rock strength and stress relief were the reasons for starting rockburst and reducing impedance. The mechanical conditions of creep rockburst caused by stress superposition in weak areas of the roadway under static conditions were proposed, and the criterion of rockburst possibility was given. Finally, according to the characteristics of spontaneity and time delay of such a rockburst disaster, the static creep rockburst evaluation of thick coal seam roadway before mining was achieved by CT inversion, and the research conclusions were thoroughly verified.

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“…In this regard, various methods, such as cluster analysis, expert systems, neural networks, fuzzy logic, and some other smart algorithms, have been used in monitoring data analysis and structure assessment. [25][26][27][28] However, for special engineering projects, such as building uplifting projects and translocation projects, the method used to assess the safety of the building based on monitoring data also requires further investigation.…”

Section: Introductionmentioning

confidence: 99%

Structural health monitoring of a historic building during uplifting process: system design and data analysis

Xie

et al. 2023

Structural Health Monitoring

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The south building of Huadong Hospital is a well-known historic building in Shanghai, China. In August 2021, the building was lifted by 1.30 m to correct the subsidence caused by long-term use and to expand the usable space of the building. To ensure structural safety during uplifting of the historic building, a structural health monitoring system is devised to monitor the overall status of the structure and the state of critical components. The structural health monitoring system comprises sensor, data acquisition, and data management systems. The content that is monitored includes vertical displacement, horizontal displacement, inclination, differential settlement, cracks, strains, and acceleration. The overview and uplifting scheme of the historic building are first introduced. The monitoring system’s design and sensor installation are then thoroughly discussed, followed by monitoring data analysis to investigate the state of the structure before and after uplifting. Furthermore, a structural safety assessment based on multisource monitoring data and neural networks is conducted. Huadong Hospital’s south building is currently the largest uplifted historic building in terms of construction area in China. The building’s structural health monitoring system played an exemplary and promoting role in structural health monitoring during uplifting of historic buildings, and it also has referential significance for similar engineering projects.

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A BIM-Based Visual Warning Management System for Structural Health Monitoring Integrated with LSTM Network

Cited by 22 publications

References 34 publications

Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure

Recent progress and future outlook of digital twins in structural health monitoring of civil infrastructure

Static creep rockburst mechanism and CT inversion verification of deep thick coal seam roadways

Structural health monitoring of a historic building during uplifting process: system design and data analysis

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