05 July 2024, Volume 45 Issue 7
    

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    Intelligent construction and safe service of building structures
  • WANG Lüji, HUANG Chenyu, SHAN Jiazeng, YU Hua, SU Jinrong
    Journal of Building Structures. 2024, 45(7): 1-12. https://doi.org/10.14006/j.jzjgxb.2023.0568
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    Rapid prediction of seismic damage of existing buildings is of paramount importance for post-earthquake emergency response and accelerating rescue and recovery in urban regions. To achieve rapid and quantitative diagnosis of the safety of existing buildings, a multi-feature driven method for rapid evaluation and prediction of seismic damage is proposed. For reinforced concrete structures, through measured dynamic properties in-situ and nonlinear performance parameters obtained from HAZUS manual, a numerical model of existing building is developed. Using the ATC-63 ground motion record sets and a data-driven nonlinear damage index, a large database is generated. The feature engineering is adopted to reveal the correlations between various input features. A random forest machine learning model is employed to predict the structural seismic damage quantitatively based on design features, measured structural features, and ground motion features. The coefficient of determination for the test set is 0.99, and the proportion of samples with a relative error within ±20% is 99.23%. Model interpretability analyses reveal the importance of various input features on the output results, with structural modal periods being one of the most critical features. Finally, using the data from existing seismic stations, the model successfully predicts the damage condition of the examined existing buildings under a specific ground motion. The result indicates that the proposed framework of seismic damage prediction for existing building structures exhibits ideal predictive accuracy and efficiency.
  • WANG Wei, FU Bochao,
    Journal of Building Structures. 2024, 45(7): 13-21. https://doi.org/10.14006/j.jzjgxb.2023.0594
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    Artificial intelligence algorithm is a key technology to realize the automated and intelligent design of building structures. However, due to the lack of physical rules constraint, artificial intelligence algorithms in practical engineering applications tend to provide unreasonable results. Therefore, in this study, by integrating structural design rules into the generative adversarial network (GAN) in the form of the neural network module, a novel intelligent layout design method for steel frame-brace structures, FrameGAN-sym, was proposed. The basic principles and ideas of this method were first introduced, and then the design results of FrameGAN-sym were compared and analyzed in detail with those of FrameGAN, which proves that FrameGAN-sym can synthesize more symmetric structural drawings according to the requirements of the proposed symmetry constraint network module. The mechanical properties of the design of FrameGAN, FrameGAN-sym and the engineers were compared through three engineering cases of steel frame-brace structures with different heights. The results show that the design of FrameGAN-sym is closer to that of engineers in terms of mechanical properties, and the torsion effect of the FrameGAN-sym-designed structure is reduced compared with the FrameGAN-designed structures.
  • WANG Lufeng, LIU Jiepeng, CHENG Guozhong, HU Jiahao, HUANG Xuesi, YU Peng
    Journal of Building Structures. 2024, 45(7): 22-30. https://doi.org/10.14006/j.jzjgxb.2023.0440
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    The design of shear wall structures currently relies primarily on the experience of designers and continuous trial and error process. To achieve rapid and optimal design, a method integrating generative design with intelligent optimization has been proposed in this study. Initially, the Stable Diffusion (SD) model is used for the generative design of shear wall structures. Subsequently, based on the results of the generative design, taboo search is employed for intelligent optimization. The SD-based generative design mainly includes fine-tuning of SD by low-rank adaptation methods using small sample data, as well as image processing techniques such as vector pixelation and pixel vectorization. The intelligent optimization based on taboo search includes the definition of parameter space, the definition of domain actions, the optimization objectives and the design of the optimization process. The proposed method is compared and verified with two actual project cases. The results show that the generative design method for shear wall structures can provide designs that meet basic design requirements in approximately 30 seconds. The designs optimized by the intelligent system achieve a similarity of up to 85% compared to the solutions given by designers, fulfilling the purpose of aiding the design process.
  • CAI Jianguo, WANG Jingsong, DU Caixia, FAN Xiao, ZHANG Qian, FENG Jian,
    Journal of Building Structures. 2024, 45(7): 31-42. https://doi.org/10.14006/j.jzjgxb.2023.0598
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    The core columns can improve the bearing capacity of ordinary masonry walls. To explore the feasibility of applying core columns in 3D printed concrete walls, composite walls of 3D printed concrete reinforced hollow walls and cast-in-place reinforced concrete core columns were designed. The effects of cross-section form (i.e.,vertical ribs, diagonal ribs and composite ribs ) and the number of core columns (i.e., two-core columns, three-core columns and five-core columns ) on the axial compression performance of 3D printed concrete walls were studied. The results show that the failure modes of the wall can be categorized into three types, that is, the bottom crush of one side of the wall, the top half crush and spalling of one side of the wall, and the overall damage of the wall. The cross-section form of the vertical and diagonal combination of ribs has the best mechanical performance, which can improve the integrity and bearing capacity of the wall. The increase of the number of core columns can significantly improve the bearing capacity of the wall, by 16.3%-19.1%, but the dispersed arrangement of core columns will weaken the integrity of the wall and reduce the cracking load of the wall by 34.3%-48.5%. By comparing the bearing capacity calculation formulas of different codes, it is found that the bearing capacity calculated according to the reinforced block masonry wall is in good agreement with the experimental value, and the error is less than 8.5%. ABAQUS was used to simulate and analyze the specimens, and the mechanical properties of the weak plane between the material layers were reduced by setting the defect layer. The difference between the simulation results and the experimental results is less than 10%, indicating that the model is accurate and can be used to estimate the bearing capacity of 3D printed concrete walls with core columns.
  • LIU Hongbo, YANG Zhifeng, ZHOU Ting, CHEN Zhihua,
    Journal of Building Structures. 2024, 45(7): 43-55. https://doi.org/10.14006/j.jzjgxb.2023.0591
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    In recent years, in order to improve the work efficiency of drawing review and reduce the rework rate, BIM-based intelligent drawing review and automatic drawing review technologies have become a hot topic in the field of BIM research. However, the joint model, which is crucial in  structures, has not yet been studied for automatic compliance check. Against this background, an intelligent drawing review framework based on Revit secondary development and deep learning is proposed, which includes three parts: information extraction, semantic enrichment, as well as compliance reasoning and suggestions. The intelligent drawing review system is developed for four kinds of beam-column joints in steel frame structures. The one-dimensional convolutional neural network trained with joint eigenvalues as samples fully considers the geometric features of the model, and the accuracy of beam-column joint classification reaches 98.59% after optimization, which is higher than that of other commonly used machine learning classification algorithms. The developed compliance reasoning algorithm can complete the construction rule checking and strength checking of the joint model, and put forward optimization suggestions. The developed intelligent drawing review system has completed the intelligent drawing review for a four-story steel frame structure model with a total of 136 beam-column joints. The accuracy rate is 97.79% and the time-consuming is 86 s, which improves the accuracy and efficiency of drawing review compared with manual drawing review.
  • LU Yujie, WANG Rui, WEI Wei, ZHANG Yanjie, HUO Jun
    Journal of Building Structures. 2024, 45(7): 56-68. https://doi.org/10.14006/j.jzjgxb.2023.0673
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    Efficient construction safety managements facilitate healthy and high-quality development of the construction industry. To ensure safe construction, it is crucial to prevent human-machine collision accidents. To accurately recognize the safety risks of human-machine operation, an automated method for human-machine collision risk recognition and warning was proposed based on self-calibration of dual-scale monocular cameras. This method recovered the three-dimensional scale of monocular vision based on the geometric characteristics analysis of the construction site and the extraction of target features, leading to precise measurement of the spatial distance between humans and machines. Furthermore, an approach for human-machine collision warning and visual simulation  was proposed based on the kinematic characteristics of construction machinery. This method can trigger multi-level collision warnings based on a human-machine distance threshold.A construction project in Shanghai was selected as a test case and achieved accurate object detections (with average accuracy of 91.2%), spatial distance measurements (with accuracy above 98%) and collision event assessments, with the algorithm frame rate meeting real-time monitoring requirements.
  • LI Hangyu, GONG Jie, TAO Yufei, ZHANG Jian
    Journal of Building Structures. 2024, 45(7): 69-79. https://doi.org/10.14006/j.jzjgxb.2023.0778
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    The failure of large reinforced concrete support systems (high formwork systems) may lead to instantaneous collapse and overturning of structures, thus the accuracy and real-time performance of the displacement monitoring of the formwork system are particularly important. Accordingly, a lightweight multi-target visual perception method for safety monitoring of high formwork system is proposed. For target occlusion and poor light in the monitoring process, a Pyramid-Histogram-Otsu multilevel threshold segmentation method is proposed, based on the area and shape consistency constraints, combined with a passive infrared target to achieve a robust extraction of the center. For multiple measurement points and real-time monitoring of the formwork system, based on the initial positioning and update optimization of the target tracking window, a Camshift-Gaussian-Centroid lightweight multi-target detection algorithm is developed to realize real-time monitoring of multi-targets in the formwork system. By integrating the above innovations, an online camera software-hardware integrated monitoring and warning system with edge computing capability is further developed. The developed method and system are successfully applied to the displacement monitoring of the high formwork system of a nuclear power casting platform, realizing real-time data acquisition (2 fps) and automatic processing (with accuracy of 0.35 mm), and demonstrating the effectiveness of the lightweight multi-target visual perception method in the safety monitoring of the formwork system.
  • CHEN Peiyao, WANG Chen, DING Ran, FAN Jiansheng
    Journal of Building Structures. 2024, 45(7): 80-88. https://doi.org/10.14006/j.jzjgxb.2023.0597
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    AI-based computation in civil engineering exhibits high accuracy and efficiency. However, due to its black-box nature, the results are difficult for researchers and engineers to comprehend, impeding its application in practical engineering projects that prioritize safety. To address this issue, a design formula intelligent discovery method based on dimensional analysis and engineering prior knowledge is proposed. This method utilizes intelligent computing technology to automatically identify the key features affecting the performance of materials and components from experimental data and generate design formulas that are dimensionally balanced, physically meaningful, and mechanically interpretable. A formula intelligent generation model considering dimensional constraints is established based on symbolic regression expression trees, ensuring the mechanical rationality of the formulas. Normalization methods for scenarios with multiple mechanical-geometric variables and engineering feature segmentation algorithms based on spectral clustering and decision trees are developed to further improve the stability and accuracy of the model. The effectiveness of the method is verified using the shear bearing capacity of reinforced cementitious materials as an example. The results show that the intelligent-generated formulas improve the accuracy by 61.3% and the fitting correlation by 23.3% compared to empirical formulas generated manually, with R2 value of 0.90, demonstrating excellent performance. Moreover, compared to traditional symbolic regression methods, the intelligent-generated formulas are not only more accurate but also dimensionally correct, with stronger engineering generalization capabilities. Furthermore, the proposed method contributes to revealing the mechanical mechanisms and accelerating the translation process from experimental testing to design methods for new materials and structures.
  • YANG Han, LI Sihan, SHU Jiangpeng, XU Cai’e, NING Yingjie, YE Jianlong
    Journal of Building Structures. 2024, 45(7): 89-99. https://doi.org/10.14006/j.jzjgxb.2023.0729
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    In existing studies and practical nondestructive testing applications, ultrasonic tomography images were usually utilized for manual qualitative interpretation but hardly used for accurate quantitative detection purposes of internal defects for reinforced concrete (RC) structures. To this end, a deep learning method based on array ultrasound and feature fusion neural network was proposed in this study for pixel-wise nondestructive recognition of internal cracks in RC structures. RC components with preset artificial internal cracks were manufactured. Array ultrasonic B-scan images were then acquired by testing the RC components with shear-wave low-frequency transducer array, and the dataset was setup. A deep neural network with the basic encoder-decoder architecture was developed, which was optimized by feature fusion strategy and residual modules to improve the compatibility with the semantic structure of ultrasonic B-scans. Moreover, individual local predicted images were combined with global representations by registration to indicate global information such as crack location and distribution of the entire section. The results indicate that F-scores of the training, validation, and testing sets are higher than 70%. The cracks as small as 1mm in width can be recognized by the proposed feature fusion neural network, and the mean absolute percentage error of quantified crack length is 6.22%, substantiating the effectiveness of the proposed method.
  • XU Qing, ZENG Bin, XU Xiaoda, LI Jiawei, WANG Yanyan
    Journal of Building Structures. 2024, 45(7): 100-107. https://doi.org/10.14006/j.jzjgxb.2023.0737
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    To establish a method for evaluating the distribution characteristics of prestress in concrete structures and calculating the evaluating characteristic value based on measured data, the concept of prestress ratio was introduced to represent the probability distribution of prestress in three levels,including single-bar level, component level and structure level. Through the combination of theoretical analysis and numerical simulation, the probability distribution of prestress ratio of each level was studied, and a Gaussian mixture model classification simplified analysis theory considering the prestress system layout features and the influence of design variances was established. Additionally, by introducing the sequential estimation theory and setting the maximum estimation error of the guarantee rate feature parameter at 95% as the constraint condition, a sampling stopping criterion combined with the bootstrap method, EM algorithm, and pivot method was established. A sequential sampling estimation and evaluating characteristic value calculation method for prestress ratios of the structure, single-bar, and component levels was proposed. The effectiveness of this method was verified by a numerical example of a prestressed concrete frame structure without bond. The research shows that compared to traditional sampling methods using fixed sample sizes, sequential sampling methods can effectively quantify estimation accuracy, reduce the estimated sample size and reduce detection costs. The maximum estimation error of the evaluating characteristic value of components decreases gradually with the increase of the number of prestressing bars, and the estimation accuracy can be higher than 95%.
  • YANG Yang, GAO Zhihao, ZHANG Xu,
    Journal of Building Structures. 2024, 45(7): 108-119. https://doi.org/10.14006/j.jzjgxb.2023.0731
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    In order to prevent the occurrence of communication tower structural safety accidents and warn the possible damages in time, it is of vital significance to carry out the communication tower structural safety monitoring work. In this paper, a damage identification method for the three-tube tower structure was proposed by taking the changing rate of the statistical moment of strain as the damage index. The relationship between the strain response statistical moments and structural stiffness of multi-degree-of-freedom structural system was theoretically deduced, and the damage index of strain fourth-order statistical moment changing rate was proposed. By establishing the relationship between the fourth-order statistical moments of strain and the strain energy density, the sensor deployment was optimized based on the principle of maximum strain energy density. By setting different signal-to-noise ratios, the effectiveness of the method was verified based on numerical modeling under the condition of varied wind speed and direction, and the identification effect was compared with other damage identification methods. At the same time, it was analyzed in combination with the measured strain data of the three-tube towers on site. The results show that the method can optimize the sensor deployment,  reduce the cost and improve the monitoring efficiency, and identify the damage of the three-tube tower in the local area range with 20 dB ambient noise.
  • WAN Huaping, HU Penghua, LIU Xuan, ZHANG Wenjie, QIN Kai, LUO Yaozhi
    Journal of Building Structures. 2024, 45(7): 120-130. https://doi.org/10.14006/j.jzjgxb.2023.0621
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    Large-span spatial structures are typical wind-sensitive structures, and their wind field and wind pressure have strong randomness and spatiotemporal distribution characteristics. Therefore, it is necessary to conduct a comprehensive and systematic study on synchronous measurements of structural wind field and wind pressure characteristics of such structures. Based on the wind speed and wind pressure measurement data of Beijing Daxing International Airport terminal, the wind field and wind pressure characteristics of the terminal roof were studied in this paper, involving the wind field characteristics at different positions of the roof and the relationship between different wind field characteristics. Combining the measured wind field characteristics, the spatiotemporal distribution and non-Gaussian characteristics of wind pressure on the roof were investigated, and the power spectral densities of fluctuating wind speeds and fluctuating wind pressures were compared. The results indicate that there are significant differences in wind field characteristics at different locations on the roof. The mean wind speed is negatively correlated with the turbulence intensity and gust factor, while the turbulence intensity is positively correlated with gust factor. The wind pressure on the roof exhibits complex spatiotemporal distribution characteristics at windward edges and corridor locations where characteristic turbulence is likely to occur. The wind pressure on the majority of the roof area exhibits a non-Gaussian distribution with skewness less than 0 and kurtosis greater than 3, and the power spectral densities of fluctuating wind pressures and fluctuating wind speeds are significantly influenced by the roof characteristic turbulence.
  • Special topics in disaster resistance and reduction of structures
  • LI Jinyu, LI Guoqiang, ZHU Shaojun
    Journal of Building Structures. 2024, 45(7): 131-142. https://doi.org/10.14006/j.jzjgxb.2023.0294
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    To investigate the early-warning methods for fire-induced collapse of planar steel triangle and Warren trusses, the collapse mechanism and collapse modes of these two types of planar steel trusses under fire were investigated based on the finite element method in this study. On this basis, the evolution laws of the key physical parameters of these two types of planar steel trusses under each collapse mode were studied, and a three-level early-warning method for fire-induced collapse was proposed based on the displacement and displacement velocity at the key joints and the temperature of the truss members. In order to predict the remaining time before the truss collapse accurately, two dimensionless parameters were introduced, namely, the early-warning time ratio and the remaining time ratio before collapse. The values of the two parameters with reliability significance, which can be taken into practical application directly, were obtained by Monte Carlo method. The proposed fire collapse warning method and time ratio were verified by real fire collapse tests and numerical examples. The results show that the collapse modes of planar triangle and Warren trusses include rotation pin, slide surface, post-buckling rotation pin, post-buckling slide surface and rebalance. The remaining time before collapse can be predicted accurately if the guarantee rate of early-warning time ratio is 70%-80%.
  • ZHOU Zhou, YU Xiaohui, HAN Miao, LV Dagang, LUO Kaihai, WANG Jianning
    Journal of Building Structures. 2024, 45(7): 143-152. https://doi.org/10.14006/j.jzjgxb.2023.0244
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    In order to evaluate the seismic resilience of a damaged structure for aftershock excitations, a framework of seismic resilience assessment for damaged structures, which was dependent on the mainshock damage states, was developed in this study. The framework was divided into four parts, namely, the selection of mainshock-aftershock sequences, aftershock fragility analysis, the computation of repair time and the determination of the recovery function. For the above-mentioned four parts, the conditional mean spectrum of mainshock and aftershock, the damage-dependent aftershock fragility function based on Logistic regression method, GB/T 38591—2020 ‘Standard for seismic resilience assessment of buildings’ and the characteristic of social resources and rescue capacity were employed to solve the four issues. In order to verify the proposed framework, a seismic-designed RC frame was selected as the case example for the resilience evaluation. The results show that with the increasing of structural damage, the aftershock economic loss of the structure is obviously increasing, and the resilience of the damaged structure is significantly decreased. When the mainshock-induced damage reaches the severe damage state, the decrease rate of structural resilience can be up to 41%, and the increment of economic loss can be as much as 10 times of that of the undamaged structure. There is a nonlinear reduction for the seismic performance when the mainshock damage occurs. Therefore, it is necessary to account for the influence of the current structural damage state in the resilience assessment of a structure.
  • JIN Liu, LAN Dongqiu, ZHANG Renbo, QIAN Kai, LI Jian, DU Xiuli
    Journal of Building Structures. 2024, 45(7): 153-165. https://doi.org/10.14006/j.jzjgxb.2022.0942
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    To study the failure mechanism and collapse-resistant mechanism of fire-exposed reinforced concrete (RC) frame structures, full-scaled three-dimensional finite element models were developed based on thermal-mechanical techniques in this study. After verifying the accuracy of the FE models, the collapse-resistant performance of full-scale RC beam-column assemblies under a middle column removal scenario during/after elevated temperature were analyzed. Based on the FE analyses, the effects of fire duration, the side column subjected to fire and seismic detailing were discussed. Furthermore, the previous research based on 1/2 scale assemblies was used to conduct comparative study. The FE results indicate that the first peak load of the assemblies significantly decreases during elevated temperature due to the degradation of properties of rebar and concrete. At a fire duration of 30 min, the failure mode of fire-exposed assemblies is similar to that of assemblies in ambient temperature, the failure of assemblies is dominated by the fracture of beam rebar at the beam ends connected to the middle column. When the fire duration exceeds 60 min, the failure of assemblies is controlled by the fracture of beam top rebar at the location of rebar curtailment. The assemblies after high temperature can develop compressive arch action and catenary action in sequence to resist collapse, and the ultimate deformation capacity and load resistance capacity are similar to those of assemblies in ambient temperature. In addition, when the side columns are exposed to fire for more than 60 min and then cooled down, they suffer compression failure under the pseudo static load. For a fire duration of 30-120min, adopting seismic detailing can increase the ultimate load and deformation capacities of the assemblies after elevated temperature by 51% and 39% at least, respectively.
  • HUANG Youlu, JIANG Huanjun, WANG Yong, WU Chen,
    Journal of Building Structures. 2024, 45(7): 166-176. https://doi.org/10.14006/j.jzjgxb.2023.0217
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    The boundary condition of suspended ceiling (SC) has significant influences on its seismic performance, and the seismic responses of SCs can be effectively reduced by imposing constraints on the SC boundaries. However, the systematic studies on the seismic behavior of the SCs with different types of boundary constraints are still limited. Therefore, full-scale shaking table tests were conducted on an SC specimen with boundary constraints provided by seismic clips. The test results indicate that the unseating of grid ends is avoided when the grid ends are restrained. The main tee-cross tee connections are prone to be damaged first, and the failure of these connections will further lead to the local collapse of the SC. In the test threaded rods and grid members keep elastic. Compared to the side span of the SC, the acceleration and displacement responses at the middle span of the SC are larger. In addition, an in-depth analysis was conducted on the three-dimensional finite element model of the SC system with the aid of software SAP2000.  The simulated acceleration, displacement, and axial force of grid members agree well with the corresponding experimental results. The accuracy of the numerical model is verified. Moreover, comparative study was performed on the seismic responses of the SC with two adjacent fixed boundaries and the other two semi-free boundaries, the SC with four fixed boundaries, and the SC with four semi-free boundaries. The analysis results show that the grid ends near the ceiling boundary have the largest axial force in the SC system with different types of boundary constraints, causing the surrounding grid connections to be damaged first during earthquakes. Compared to the SC with two adjacent boundaries of fixed and the other two boundaries of semi-free, setting the four sides of the SC to be fixed can simultaneously reduce the ceiling acceleration, displacement, and axial force of grid members. Besides, setting the four sides of the SC to be semi-free can evidently decrease the axial force of grid members, but the acceleration and displacement of ceiling increase.
  • PENG Zhiming, CHEN Zhongfan, XU Zhifeng, HUANG Yuhao, LUO Yi
    Journal of Building Structures. 2024, 45(7): 177-188. https://doi.org/10.14006/j.jzjgxb.2023.0248
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    In order to promote the development of cold-formed thin-walled steel building structure system and improve its assembly ratio, three dry assembly forms of connection between the flanges and webs of the walls were proposed. To study the seismic behavior of the composite walls, three different prefabricated cold-formed thin-walled steel-foam concrete composite wall specimens and one cast-in-place wall specimen were tested under low-cycle reciprocating load. The failure mode, bearing capacity, lateral stiffness, energy dissipation and ductility of specimens were analyzed. The reliability of the three types of dry connection and the differences in seismic performance of the walls with different assembly forms were studied. The results show that the failure of the wall is mainly concentrated in the web pier, the wall panels between the columns and the foam concrete filled inside appear crossed oblique cracks, the horizontal braces are subjected to local buckling, and only a few horizontal and vertical cracks appear at the bottom of the flanges of the wall pier. The three dry connections are safe and reliable, and the components fail before the joint. Compared with the cast-in-place counterpart, the bearing capacity and initial stiffness of the assembly specimens are lower, but the deformation and energy dissipation capabilities are higher. Compared with the web spliced wall, the peak load, initial stiffness and total energy dissipation of the tensile connection wall are increased by 36.5%, 15.0% and 12.5%, respectively, and the peak load and total energy dissipation of the L-joint wall are increased by 22.8% and 54.5%, respectively, the initial stiffness is reduced by 21.5%. Considering the seismic performance, transportation condition and construction difficulty of the three assembly forms comprehensively, the assembly form of L-shaped connector is preferred for engineering practice. Based on the principle of superposition, the lateral stiffness of the prefabricated composite wall was deduced, and the accuracy of the calculation method was verified.
  • ZHAO Ziqi, ZHAO Zuozhou, LIU Wei, LIU Juan
    Journal of Building Structures. 2024, 45(7): 189-199. https://doi.org/10.14006/j.jzjgxb.2023.0277
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    The use of a large number of small-diameter vertically connected steel bars in the edge components of prefabricated shear walls generally results in multiple sleeves, difficulty in aligning the steel bars and on-site grouting, large labor and time consumption and difficulty in automated production of manual processing and binding of hoops. To solve the problem, an efficient prefabricated shear wall construction form was proposed in this paper, which used large-diameter steel bars and large-diameter sleeves to connect the edge components of shear walls, and continuous spiral square hoops to construct the stirrups. Three full-scale assembled shear wall specimens with a design axial compression ratio of 0.2, one with a design axial compression ratio of 0.6, and two with a design axial compression ratio of 0.4 were tested under quasi-static loading to study the seismic performance of the shear walls, and the test parameters included axial compression ratio, longitudinal reinforcement connection form of edge components, and stirrup reinforcement construction form. The results show that all six shear walls fail in the expected bending mode. The measured bending bearing capacity of shear walls is 1.03-1.15 times of the calculated value, indicating a certain degree of safety redundancy. The ultimate displacement angle of the shear wall is 1/77-1/42, which is greater than the limit value of 1/120 given by the GB 50011—2010 ‘Code for seismic design of buildings’ for the elastic-plastic inter story displacement angle of the shear wall structure under rare earthquakes, demonstrating its good deformation capacity. The proposed prefabricated shear wall construction connection scheme is reasonable and reliable, which not only ensures the bearing capacity and seismic performance of the shear wall, but also reduces the construction cost by 8% to 18% compared to traditional connection schemes.
  • SONG Qianyi, WANG Weiyong, HUANG Haoyuan, LIU Yifeng
    Journal of Building Structures. 2024, 45(7): 200-211. https://doi.org/10.14006/j.jzjgxb.2022.0740
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    In view of the weak fire resistance of low-rise cold-formed thin-walled steel buildings, a reinforced and restrained light steel-concrete composite column (hereafter referred to as ‘reinforced and restrained composite column’) was proposed for the cold-formed thin-walled wall system. In this study, fire resistance tests of four reinforced and restrained composite column specimens subjected to standard elevated temperature conditions were carried out. The axial displacement, lateral displacement, temperature of measuring points, fire resistance limit and failure mode of each specimen were obtained. The fire resistance analysis model of reinforced and restrained composite columns was established. The model was verified against the experimental data, and then based on the model, the factors affecting the fire resistance of reinforced and restrained composite columns were analyzed. The results show that the load ratio has a great influence on the fire resistance of reinforced and restrained composite columns, the smaller the load ratio, the greater the fire resistance. When the load ratio is 0.3-0.7, the corresponding fire resistance of the specimen is 30-105 min. The built-in steel cage used for strengthening restraint also has a significant effect on improving the fire resistance limit of the specimen, and the increase ratio is up to 69%. The fire resistance limit of members increases with the increase of sectional size and decreases with the increase of rivet spacing. The rivet spacing is suggested to be less than 100mm.
  • Intelligent construction and safe service of building structures
  • SHI Yi, WANG Wei, WANG Shiye, BAO Lianjin, LI Ming, TONG Jun, TIAN Yunyu
    Journal of Building Structures. 2024, 45(7): 212-225. https://doi.org/10.14006/j.jzjgxb.2023.0209
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    In order to solve the problems of large steel consumption, high lifting difficulty and complicated construction of traditional steel reinforced concrete beam-type transfer structure, a steel column-reinforced concrete beam transfer joint (SCRCBTJ) with pre-embedded steel was proposed in this study and quasi-static test was conducted on full-scale joint models which were designed according to real project. At the same time, a finite element simulation method considering the performance degradation due to concrete spalling was developed based on ABAQUS. The effects of single-side structural steel length, stud spacing, concrete strength and axial compression ratio on the seismic performance of the transfer joint were studied. The results show that the failure mode of the joint is shear failure in the core area and the hysteresis curves are full with good ductility and energy dissipation capacity. The ductility is positively correlated with single-side structural steel length, negatively correlated with concrete strength and axial compression ratio, and the influence of stud spacing is small. The load capacity and total energy dissipation of the joint are positively correlated with single-side structural steel length and concrete strength, negatively correlated with stud spacing and axial compression ratio. When the single-side structural steel length is taken as two times the section height, the stud spacing is taken as 200 mm, and the concrete strength grade is taken as C40, the member achieves ideal seismic performance. According to the analysis results, the shear bearing capacity formula of the SCRCBTJ was established and construction suggestions were given.
  • Comprehensive comments
  • PAN Yi, AN Renbing, YOU Wenlong
    Journal of Building Structures. 2024, 45(7): 226-241. https://doi.org/10.14006/j.jzjgxb.2023.0295
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    The mortise-tenon joint is a crucial component that distinguishes traditional timber structures from others. It exhibits characteristic semi-rigid behavior which significantly affects the seismic performance of traditional timber structures. In this article, the characteristics and applications of mortise-tenon joints in different member connections were reviewed, and the research status on the mechanical performance of mortise-tenon joints was also discussed, focusing on the force mechanism, mechanical models, and numerical analysis. The load characteristics, failure features, and influencing factors of different joint types were examined. The establishments of theoretical analyses, tests, and numerical simulations were explained, along with the limitations of each method. Additionally, wood constitutive relationships and both refined and simplified numerical analysis techniques were discussed. The issues such as incomplete joint classification, inadequate consideration of factors, complex models, and insufficient simulation accuracy were identified in the research. These findings offer guidance for future research and the accurate assessment of the performance of mortise-tenon joint in traditional timber structures.
  • WENG Shun, ZHANG Zhiyue, GAO Ke, ZHU Hongping,
    Journal of Building Structures. 2024, 45(7): 242-261. https://doi.org/10.14006/j.jzjgxb.2023.0496
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    Flexible piezoresistive strain sensors have the advantages of large sensing range, excellent deformation adaptability, and good stability, which provide new approaches to solving the problems of the traditional strain sensors such as small range and low sensitivity, and show great application potential in the civil structural health monitoring (CSHM). In this paper, the common materials and basic sensing mechanisms of the flexible piezoresistive strain sensors were introduced. The state-of-art of three typical piezoresistive sensing principles was summarized in three aspects, including sensing mechanism, structural design and preparation method, and their applications in CSHM. The influences of material selection and conductive network optimization design on sensing performance control were analyzed. It is found that he use of composite conductive fillers and microstructure design can improve sensing performance. The development of high-performance and adaptable flexible piezoresistive strain sensors for engineering environments still faces problems such as material aging during long-term operation, unstable performance in engineering environments, and difficulty in system integration and maintenance. For the selection strategies of flexible piezoresistive sensors in CSHM, carbon-based conductive materials have better comprehensive performance, and flexible sensors with interface contact effect as the dominant mechanism are more suitable for strain monitoring needs of civil engineering structures. Finally, the prospect of the flexible piezoresistive sensors in intelligent operation and maintenance of civil engineering was presented.