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7th International Conference on FRP Composites in Civil Engineering, CICE 2014

作者： Zhang, Huawen Smith, Scott T. Wang, Zhenyu Southern Cross University Australia Department of Engineering Southern Cross University Australia Key Lab of Structures Dynamic Behavior and Control Ministry of Education China School of Civil Engineering Harbin Institute of Technology Heilongjiang Harbin150090 China

ISBN: (纸本)9781771363082

A common problem associated with the strengthening of reinforced concrete (RC) structures with externally bonded fibre-reinforced polymer (FRP) composites is the ability of the FRP to prematurely debond. The installation of anchorage devices is an intuitive and logical means with which to enhance the debonding resistance of such strengthening systems, however, there are limited comprehensive experimental studies to date. Anchors may also enhance the ductility of the strengthened member although experimental studies are particularly limited that investigate this phenomenon. This paper reports the results of seven reinforced concrete (RC) slab tests of which six slabs were strengthened in flexure with FRP plates. Five of the strengthened slabs were anchored with FRP anchors of different positioning and geometry. Depending on their position of installation, anchors are shown to enhance either the strength alone or both the strength and ductility of the FRP-strengthened slabs.

关键词： Anchors

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Establishment of frost resistance model for autoclaved fly ash bricks

Establishment of frost resistance model for autoclaved fly a...

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The 2014 IMSS International Conference on Future Manufacturing Engineering(ICFME 2014)

作者： Shuang Lu Zheng Wang Key Laboratory of Structures Dynamic Behavior and Control Ministry of EducationHarbin Institute of Technology

In cold area,the freeze-thaw cycling durability of building materials is one of the primary influence *** paper studied on the loss ratio of the relative dynamic elastic modulus of the autoclaved fly ash bricks,which is according to the ultrasonic speed after suffering different freeze-thaw *** that,the corresponding numerical model has been established *** results indicate that the calculated results by the model can fit with the experimental data very ***,the model can be applied to predict the service life by using environment parameters as the factors in the model.

关键词： fly ash brick freeze-thaw cycling model dynamic elastic modulus durability

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Retraction notice to "Study on damage rules on concrete under corrosion of freeze-thaw and saline solution" [Constr. Build. Mater. 304 (2021) 124617] (Construction and Building Materials (2021) 304, (S0950061821023722), (10.1016/***.2021.124617))

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Construction and Building Materials 2025年 474卷

作者： Chen, Dingshi Deng, Yuang Shen, Jiyang Sun, Guorui Shi, Jun School of Civil Engineering Central South University Changsha410075 China National Engineering Laboratory for High Speed Railway Construction Changsha China Bridge Design Institute CCCC First Highway Consultants Co. Ltd. Shaanxi Xi'an710075 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Laboratory of Bridge Detection and Reinforcement Technology of Ministry of Transport Chang'an University Shaanxi Xi'an710064 China

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://***/locate/withdrawalpolicy). This article has been retracted at the request of authors with approval of the Editor-in-Chief. Following correspondence with the corresponding author requesting to retract this paper over an authorship dispute, it was determined that significant content in this paper is based on a 2019 Chang'an University Master's thesis "Study on Damage Rules of Concrete under Corrosion of Freeze-Thaw and Saline Solution" [https://***/KCMS/detail/***?dbname=CMFD202001&filename= ***] submitted by Su Youbiao and supervised by Dr. Hu Dalin. The specimens reported as "schemes 0 through 9" in this paper are taken directly from the Chang'an University Master's thesis. Results for schemes 0 through 9 are fully reported in the Chang'an University Master's thesis (Chapter 3). No indication or acknowledgement of the source of this data is provided. Neither Su Youbiao nor Hu Dalin is credited as a coauthor. The authors agree with the need to retract this paper in order to uphold and maintain the highest standards of academic integrity. © 2025 Elsevier Ltd

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Data science and engineering for structural health monitoring 8

Data science and engineering for structural health monitorin...

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8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017

作者： Li, H. Bao, Y.Q. Li, S.L. Ou, J.P. Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Intelligent Disaster Mitigation of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

ISBN: (纸本)9781925553055

Structural health monitoring (SHM) technology study the damage or even characteristics of disaster evolving of structures by various types of sensors installed on structures and provide scientific support for the structural design, construction, maintenance and operation safety. The significant scientific issues of SHM can be concluded as 'sensing' and 'data'. According to the widely application of SHM on civil infrastructures and accumulation of huge quantities of data, it is well-recognized that data sciences and engineering for SHM is increasingly becoming a world-wide research focus. The issue of 'data' is core target of SHM which includes the data acquisition, transmission and management, data analysis and mining, structural damage identification and structural safety assessment and so on. This paper reviews the recent research development of data sciences and engineering on our research group which includes data acquisition by compressive sensing based on group sparse optimization, computer vison and deep learning methods for data anomaly detection and structure condition assessment, the identification and modeling of spatio-temporal distribution of vehicle loads, and corrosion damage and crack identification by computer vision ***, the artificial intelligence in civil engineering is the extension of SHM technique, and will make the civil structure have ability of "see", "sensing", "thinking","talking", "action and "adapation" (2S+2T+2A). © 2017 International Society for Structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.

关键词： Structural health monitoring

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Numerical simulation of separated and reattached flows around a backward-facing step

Numerical simulation of separated and reattached flows aroun...

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International Conference on Measuring Technology and Mechatronics Automation

作者： Yinsong Li Chaorong Zheng Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 China

ISBN: (纸本)9781467371445

Separated and reattached flows around a backward-facing step (BFS) controlled by continuous suction was numerically investigated using the turbulence model of large eddy simulation (LES) based on the dynamic kinetic energy subgrid-scale model. The effect of suction control on the flow fields was described by the suction flow coefficient, and the results indicate that suction is not only very effective in shortening the reattachment length, but also very influential in reducing the turbulence fluctuations of the reattached flows. With increasing increments of the absolute suction flow coefficient, the effect of suction control is more significant. Furthermore, comparisons of the time-averaged statistics between the numerical simulation and corresponding experiment are conducted, and it shows that the LES can acquire exact results. Therefore, feasibility of the numerical methods to simulate suction-controlled models is validated.

关键词： Backward-facing step suction large eddy simulation flow control reattachment length

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Isolation research of friction pendulum bearings in K8 single-layer reticulated domes

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Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology 2015年第12期47卷 9-15页

作者： Kong, Dewen Fan, Feng Zhi, Xudong Key Lab of Structures Dynamic Behavior and Control Harbin Institute of Technology Ministry of Education Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

To obtain the seismic performance of single-layer reticulated domes with friction pendulum bearings (FPB), finite element refined models of FPB were applied to 80 m K8 single-layer reticulated domes FE Model. The same earthquake waves were exerted to single-layer reticulated shells with hinge support or FPB. The isolation effect of FPBs was analyzed in two main aspects including the dynamic responses of bars and nodes of reticulated domes, and the impact of FPB parameters on the seismic response of single layer latticed shell were discussed. The results indicate that the optimal friction coefficient of FPB increases with the increase of the ground motion intensity. The bigger curvature radius of FPB, the smaller seismic responses of reticulated shell structure will be. On the basis of the above research, this paper gave some discussion how friction pendulum bearings were selected for single-layer reticulated domes. © 2015, Editorial Board of Journal of Harbin Institute of Technology. All right reserved.

关键词： Friction

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Safety monitoring in construction site based on unmanned aerial vehicle platform with computer vision using transfer learning techniques 7

Safety monitoring in construction site based on unmanned aer...

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7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018

作者： Guo, Yapeng Niu, Haowei Li, Shunlong Harbin Institute of Technology School of Transportation Science and Engineering Harbin China Key Lab of Intelligent Disaster Mitigation Ministry of Industrial and Information Technology Harbin China Key Lab of Structures Dynamic Behaviour and Control Ministry of Education Harbin China

ISBN: (纸本)9783000603594

Safety is an inevitable issue in all kinds of construction sites. The most effective way to insure human's safety is wearing safety helmet, thus whether wearing or not is a main problem of safety monitoring. This paper proposed an approach using deep learning-based computer vision techniques to detect workers (i.e., not wearing safety helmet) from image sequences shot by unmanned aerial vehicle (UAV). Firstly training and testing dataset were created using label tools as a size of 300×300. Then a fine-tune method based on single shot multibox detector network was employed to get high accuracy of detection. The effectiveness and accuracy of methods were validated and discussed. Finally, some visualization work has been done for a deeper understanding of the network. © APWSHM 2018. All rights reserved.

关键词： Computer vision

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Big model for bridge health diagnosis by cross-modal learning 12th

Big model for bridge health diagnosis by cross-modal learnin...

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12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024

作者： Xu, Yang Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin China Key Lab of Structures Dynamics Behavior and Control of the Ministry of Education Harbin China Harbin Institute of Technology Harbin China

ISBN: (纸本)9781032770406

Conventional deep-learning-based methods for bridge structural health diagnosis require complicated network structures and verbose from-scratch training with hyperparameter tuning. Because the pre-trained vision-language big model perceives fundamental knowledge of large-scale image and linguistic datasets, it should be of great potential to perform structural health diagnosis with full use of image and text datasets. This study performs a feasibility study towards establishing a big model for structural health diagnosis based on vision-language cross-modal learning. Specifically, an overall pipeline is proposed using a pre-trained vision-language big model of OFA (one for all, established by DAMO Academy in 2022). A series of Transformer modules based on the self-attention mechanism are stacked to unify pre-training tasks and downstream tasks in pure vision modality, pure language modality, and vision-language cross-modality learning. The results preliminarily demonstrate the feasibility and effectiveness of the visionlanguage cross-modal learning paradigm using OFA big model for structural health diagnosis. © 2024 The Author(s).

关键词： Deep learning

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Structural Health Diagnosis Under Limited Supervision

Structural Health Diagnosis Under Limited Supervision

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IABSE Congress Nanjing 2022 - Bridges and structures: Connection, Integration and Harmonisation

作者： Xu, Yang Li, Hui Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin China Key Lab of Structures Dynamics Behavior and Control of the Ministry of Education Harbin China Harbin Institute of Technology Harbin China

ISBN: (纸本)9783857481840

Structural health diagnosis has been investigated following a data-driven machine learning paradigm. However, the model accuracy and generalization capability highly rely on the quality and diversity of datasets. This study established a framework for structural health diagnosis under limited supervision. Firstly, an image augmentation algorithm of random elastic deformation, a novel neural network with self-attention and subnet modules, and a task-aware few-shot meta learning method were proposed for vision-based damage recognition. Secondly, deep learning networks were established to model intra- and inter-class temporal and probabilistic correlations of different quasi-static responses for condition assessment. Finally, a two-stage convergence criterion merging with the subset simulation and Kriging surrogate model was designed for reliability evaluation. Real-world applications on large-scale infrastructure demonstrated the effectiveness. © IABSE Congress Nanjing 2022 - Bridges and structures: Connection, Integration and Harmonisation, Report. All rights reserved.

关键词： Computer vision

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Structural behavior of UHPC transition segment of wind tower without ordinary reinforcement under serviceability limit state 8th

Structural behavior of UHPC transition segment of wind tower...

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8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023

作者： Lin, L.R. Zhang, X. Wu, X.G. Wang, X. Zhang, X.S. Wang, H. College of Civil Engineering Fuzhou University Fuzhou China CGN New Energy Holdings Co Ltd China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of the Industry and Information Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9781003323020

The complexity of reinforcement and consequent corrosion of concrete have been technical issues of the transition segments of the hybrid wind turbine tower. A novel concrete transition segment using prestressed ultra-high performance concrete (UHPC) that does not necessitate ordinary reinforcement is applied to a 4.8MW H160 prestressed hybrid wind turbine tower. The mechanical behaviors of the transition segments only with reinforced concrete segment (T-C80RC) and the UHC140 segment without ordinary reinforcement (T-UHC140) are investigated using 3D finite element models. The comparative study shows that UHPC in T-UHC140 improves the overall mechanical performance. © 2023 The Author(s).

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