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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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Failure modes determination and load-bearing capacity evaluation of concrete columns under seismic loads by ANNs

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Soft Computing 2024年第13-14期28卷 8361-8377页

作者： Hao, Meijing Chang, Wei Xu, Chonghao School of Architecture and Civil Engineering Harbin University of Science and Technology Harbin150080 China Key Lab of Structures Dynamic Behavior and Control Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology 202 Haihe Road Nangang District Harbin China

The failure modes of concrete columns can be applied to judge the ductility of concrete columns under seismic loads. In addition, the load-bearing capacity of concrete columns was an important parameter in evaluating the seismic performance of concrete columns under seismic loads. However, it was difficult to determine the failure modes and evaluate the load-bearing capacity of concrete columns under seismic loads with the application of high-strength concrete. In this paper, two ANNs, including a genetic algorithm optimization-based support vector machine (GA-SVM) and an ANFIS, were developed to determine the failure modes of concrete columns under seismic loads. The main investigated parameters, including specimens' shear span ratio, the compressive strength of concrete, the yield strength and volumetric ratio of stirrups, and the yield strength and ratio of longitudinal reinforcement, were applied as input variables to the models. The proposed models were trained and tested using 247 data sets from previous studies. The proposed models had high reliability and predictability to determine the failure modes of concrete columns under seismic loads. Furthermore, an ANFIS network was developed to evaluate the load-bearing capacity of concrete columns, which had high reliability and predictability. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Failure modes

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Predicting the capacity of perfobond rib shear connector using an ANN model and GSA method

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Frontiers of Structural and Civil Engineering 2022年第10期16卷 1233-1248页

作者： Guorui SUN Jun SHI Yuang DENG School of Civil Engineering Central South UniversityChangsha 410075China Key Laboratory of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China National Engineering Laboratory for High-Speed Railway Construction Changsha 410075China

Due to recent advances in the field of artificial neural networks(ANN)and the global sensitivity analysis(GSA)method,the application of these techniques in structural analysis has become feasible.A connector is an important part of a composite beam,and its shear strength can have a significant impact on structural *** this paper,the shear performance of perfobond rib shear connectors(PRSCs)is predicted based on the back propagation(BP)ANN model,the Genetic Algorithm(GA)method and GSA method.A database was created using push-out test test and related references,where the input variables were based on different empirical formulas and the output variables were the corresponding shear *** results predicted by the ANN models and empirical equations were compared,and the factors affecting shear strength were examined by the GSA *** results show that the use of ANN model optimization by GA method has fewer errors compared to the empirical ***,penetrating reinforcement has the greatest sensitivity to shear performance,while the bonding force between steel plate and concrete has the least sensitivity to shear strength.

关键词： perfobond rib shear connector shear strength ANN model global sensitivity analysis

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Vision-based multi-level synthetical evaluation of seismic damage for RC structural components: a multi-task learning approach

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Earthquake Engineering and Engineering Vibration 2023年第1期22卷 69-85页

作者： Xu Yang Qiao Weidong Zhao Jin Zhang Qiangqiang Li Hui Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and InformationTechnology Harbin Institute of TechnologyHarbin 150090China Key Lab of Structures Dynamics Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China School of Civil Engineering Harbin Institute of TechnologyHarbin 150090China School of Civil Engineering and Mechanics Lanzhou UniversityLanzhou 730000China

Recent studies for computer vision and deep learning-based,post-earthquake inspections on RC structures mainly perform well for specific tasks,while the trained models must be fine-tuned and re-trained when facing new tasks and datasets,which is inevitably *** study proposes a multi-task learning approach that simultaneously accomplishes the semantic segmentation of seven-type structural components,three-type seismic damage,and four-type deterioration *** proposed method contains a CNN-based encoder-decoder backbone subnetwork with skip-connection modules and a multi-head,task-specific recognition *** backbone subnetwork is designed to extract multi-level features of post-earthquake RC *** multi-head,task-specific recognition subnetwork consists of three individual self-attention pipelines,each of which utilizes extracted multi-level features from the backbone network as a mutual guidance for the individual segmentation task.A synthetical loss function is designed with real-time adaptive coefficients to balance multi-task losses and focus on the most unstably fluctuating *** experiments and comparative studies are further conducted to demonstrate their effectiveness and *** results show that the proposed method can simultaneously recognize different structural components,seismic damage,and deterioration states,and that the overall performance of the three-task learning models gains general improvement when compared to all single-task and dual-task models.

关键词： post-earthquake evaluation multi-task learning computer vision structural component segmentation seismic damage recognition deterioration state assessment

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Study on Residents' Intentions to Purchase Prefabricated Housing in China

Study on Residents' Intentions to Purchase Prefabricated Hou...

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2024 International Conference on Construction and Real Estate Management: ESG Development in the Construction Industry, ICCREM 2024

作者： Zhou, Fanxi Zhou, Zhenzong Man, Qingpeng Wang, Yaowu School of Economics and Trade Henan Univ. of Technology Henan China Dept. of Construction Management Harbin Institute of Technology Harbin China Dept. of Construction Management 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 Industry and Information Technology Harbin Institute of Technology Harbin China

ISBN: (数字)9780784485910

ISBN: (纸本)9780784485910

Currently, with an increasingly serious environmental population and energy crisis, countries are actively exploring measures to reduce carbon emissions. Environmental protection and sustainable development have become hot points for research. As a high-consumption industry, the construction industry urgently needs to take measures to reduce its negative impacts on the environment. Prefabricated housing has the characteristic of a short construction period and is environmentally friendly. Therefore, it plays a vital role in China's sustainable development. At the same time, the residential industry is a key area for the development of prefabricated buildings. In order to better reveal the consumers' purchase intentions and promote the deeper development of prefabricated housing to bring greater social benefits, this study combines the theory of planned behavior (TPB) and the norm activation model (NAM) to explain the influencing factors of consumers' purchase of prefabricated housing, hoping to scientifically guide residents, and at the same time provide theoretical reference for policy formulation. © ASCE.

关键词： Carbon sequestration

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Mechanical properties of concrete at low and ultra-low temperatures- a review

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Journal of Infrastructure Preservation and Resilience 2022年第1期3卷 20页

作者： Huo, Yanlin Sun, Huayang Lu, Dong Chen, Zhitao Yang, Yingzi School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

As infrastructure construction advances toward the cold and highland environment, concrete preparation technology and service performance in the cold climate is receiving much attention. The freezing of pore water inside concrete leads to significant changes in its mechanical properties at negative temperatures. Therefore, to ensure the safety of civil engineering structures in cold regions, it is necessary to fully understand the change law and enhancement mechanism of the mechanical properties of concrete and be able to predict mechanical properties at a negative temperature. Since the 1970s, scholars have studied concrete’s negative temperature mechanical properties in different water-content states. This paper presents a comprehensive review of the changes in mechanical properties of concrete at low and ultra-low temperatures and further elucidates the evolution of its compressive strength, tensile strength, flexural strength, elastic modulus, and stress-strain relationship at low temperatures. It was found that the main factors affecting the mechanical properties of concrete at low temperatures were temperature and moisture content. The strength of concrete increases significantly with the decrease in temperature and the increase in moisture content. To better understand and predict the mechanical properties of concrete at low temperatures, the best model was suggested by analyzing the prediction models of different researchers and considering the dispersion of the data. Further, based on the G. Wiedemann pore model, the changes in the internal structure of concrete at low temperatures are described in detail, and the mechanism of its mechanical property enhancement is analyzed. © The Author(s) 2022.

关键词： Compressive strength

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Effect of trigger system on experimental dispersion characteristics of active surface wave testing

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Earthquake Engineering and Engineering Vibration 2024年第2期23卷 311-318页

作者： Lin Shibin Jeramy C.Ashlock Zhu Liming Qin Zexiang Li Bo Zhu Xingji Zhai Changhai State Key Laboratory of Precision Blasting Jianghan UniversityWuhan 430056China Hubei Key Laboratory of Blasting Engineering Jianghan UniversityWuhan 430056China Department of Civil Construction&Environmental EngineeringIowa State UniversityAmesIA 50010USA Wuhan Airport Road Development Co. Ltd.Wuhan 430065China School of Civil and Environmental Engineering Harbin Institute of TechnologyShenzhen 518055China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disaster of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China

A trigger system is typically employed in active seismic testing to trigger and synchronize multichannel surface wave data *** effect of the trigger system on the dispersion image of surface waves is empirically known to be negligible,however,theoretical explanation regarding the effect of the trigger system is *** study systematically examines the theory for surface wave dispersion analysis and proves that the effect of the trigger system on a dispersion image is negligible via a solid theoretical ***,based on the new theoretical explanation,an alternative method that uses only the relative phase difference between sensors to extract dispersion characteristics with better conceptual clarity is *** active surface wave testing cases are considered to validate the theory and *** results indicate that(1)an accurate trigger system is not necessary for surface wave data acquisition,and(2)it is unnecessary to assume that the impact point is the generation point of the surface waves for the experimental dispersion analysis.

关键词： site investigation surface waves data acquisition dispersion

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Application of low-temperature microwave radiation on the preparation of UHPC

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Low-Carbon Materials and Green Construction 2025年第1期3卷 1-17页

作者： Li, Xusen Wang, Jiarui Li, Shuangxin Gao, Xiaojian Shi, Zhenwu School of Civil Engineering and Transportation Northeast Forestry University Harbin150040 China Longjian Road and Bridge Co. Ltd Harbin150040 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China

This study investigates using low-temperature microwave radiation to prepare ultra-high-performance concrete (UHPC), aiming to contribute to sustainable and green concrete technology. Immediate microwave curing (IMC) accelerates the early hardening process, but rapid moisture loss challenges prolonged hydration and strength development. The research combines strength tests, X-ray diffraction, differential thermal analysis and thermogravimetric analysis, scanning electron microscopy with energy dispersive X-ray spectroscopy, and COMSOL simulations to understand these mechanisms. The findings reveal that microwaves' unique magnetic effects activate interactions between ions, leading to the formation of atypical phases such as hydrotalcite-like phase (HTlp), calcium silicide (CaSi2), and thaumasite-like phase (TSAlp). Unlike delayed microwave curing (DMC), IMC produces crystalline phases such as ettringite, HTlp, TSAlp, and gypsum, while calcium hydroxide (CH)—commonly observed in Portland cement hydration—is absent, reflecting distinct hydration pathways. These results suggest that IMC alters the hydration process and microstructure of UHPC. Curing regimes must address moisture retention to ensure sufficient hydration for improved mechanical and microstructural properties to enhance its performance. This study highlights the potential of IMC as a rapid curing method while emphasizing the need for strategies to mitigate its limitations. © The Author(s) 2025.

关键词： Ultra-high performance concrete

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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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A dual⁃parameter method for seismic resilience assessment of buildings

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Journal of Southeast University(English Edition) 2025年第1期41卷 1-11页

作者： LI Shuang HU Binbin LIU Wen ZHAI Changhai Key Laboratory of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China

To quantify the seismic resilience of buildings,a method for evaluating functional loss from the component level to the overall building is proposed,and the dual-parameter seismic resilience assessment method based on postearthquake loss and recovery time is improved.A threelevel function tree model is established,which can consider the dynamic changes in weight coefficients of different category of components relative to their functional *** networks are utilized to quantify the impact of weather conditions,construction technology levels,and worker skill levels on component repair time.A method for determining the real-time functional recovery curve of buildings based on the component repair process is *** a three-story teaching building as an example,the seismic resilience indices under basic earthquakes and rare earthquakes are *** results show that the seismic resilience grade of the teaching building is comprehensively judged as GradeⅢ,and its resilience grade is more significantly affected by postearthquake *** proposed method can be used to predict the seismic resilience of buildings prior to earthquakes,identify weak components within buildings,and provide guidance for taking measures to enhance the seismic resilience of buildings.

关键词： seismic resilience assessment dual-parameter method functional loss recovery time Bayesian networks

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