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SSRN 2024年

作者： He, Yuhan Zhai, Changhai Wen, Weiping Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disaster The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

The rubble generated by the massive collapse of street-front buildings after an earthquake can seriously block roads, affecting the connectivity of the road network in a city and causing serious damage. In order to achieve the needs of urban planning, buildings facing the street are mainly bottom frame structures that cater for both commercial and residential use. However, once an earthquake occurs, the poor seismic performance of the bottom frame structures is quite prone to collapse, which produces a large amount of rubble and brings a great burden to the post-earthquake traffic system. In this paper, based on finite element models for various cases, considering the uncertainty of seismic intensity and height of the bottom frame structure, and combining with the fragility of structural collapse, we propose a method to predict the risk range of the bottom frame structure rubble to quantify the capacity of the transportation system after the earthquake, which can better assess the seismic resilience of the transportation system in the urban area. © 2024, The Authors. All rights reserved.

关键词： Earthquakes

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Sustainable synthesis of hydrophobic waste glass powder for enhanced water and frost resistance in mortar

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Construction and Building Materials 2025年 487卷

作者： Wen, Juncheng Wan, Yan 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

Most durability issues in cement-based materials stem from water intrusion, which can be mitigated by hydrophobic materials with excellent waterproofing properties. This study proposes a green wet chemical method using stearic acid (SA) and waste glass powder (WGP) to synthesize hydrophobic WGP (HWGP). The effect of SA dosage on the water contact angle of HWGP was investigated, and the optimal SA dosage for preparing HWGP was determined through TG analysis. XRD, FTIR, XPS, and TEM tests revealed the synthesis mechanism of HWGP. The effects of HWGP on mortar's mechanical properties, water and frost resistance were also studied, and the optimal dosage of HWGP for preparing hydrophobic mortar was determined. The results show that 8 % SA is optimal for preparing HWGP, and its water contact angle is 132.2°. The synthesis occurs through reactions between SA and Na+, Ca2+, and Si-OH groups, with the long carbon chains of SA grafted onto WGP, forming a hydrophobic layer about 4 nm thick. As HWGP content increases, compressive strength initially increases and then decreases, while water and frost resistance improve significantly. The optimal dosage for preparing hydrophobic mortar is 15 % HWGP, where compressive strength decreases by only 6.9 %, flexural strength increases by 12.5 %, and water contact angle increases by 91.2°. Additionally, initial and secondary water absorption rates decrease by 79.4 % and 92.2 %, respectively, total water absorption amount over 8d decreases by 64.9 %, and frost resistance improves by 70.9 %. © 2025 Elsevier Ltd

关键词： Bending strength

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Mechanical properties of extrusion-based 3D-printed concrete considering the thickness of the printed layer and printing time interval

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structures 2025年 78卷

作者： Tang, Boyang Yan, Jiachuan Han, Xiaoyu Lin, Yini Fan, Feng 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 School of Civil Engineering Harbin Institute of Technology Harbin150090 China

This paper investigated the performance of 3D printed concrete with a focus on the bonding layer, considering the thickness of the printed layers. Through experimental testing and numerical simulation, the mechanical properties and failure mechanisms of the bonding layer were thoroughly analyzed. The results revealed that compressive strength diminishes with thinner layers and longer printing intervals, while anisotropic mechanical properties become increasingly pronounced with reduced layer thickness. The static performance of 3D printed concrete arches was also studied, showing that increased layer thickness enhances the ultimate load bearing capacity. Cohesive elements were used to simulate compressive strength across varying layer thicknesses and printing time intervals. Prediction formulae for compressive strength were developed and validated through experimental data. The study further simulated the static performance of arches using both cohesive elements and anisotropic material properties, confirming the accuracy of the strength prediction formulae and the effectiveness of the simulation methods. © 2025

关键词： Compressive strength

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Numerical analysis and design on the embedded column base for circular CFST under seismic loads

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Engineering structures 2025年 340卷

作者： Tan, Shasha Guo, Lanhui Zhao, Ou Jia, Chen 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 School of Civil and Environmental Engineering Nanyang Technological University Singapore

The type and configuration of column base significantly affects the seismic behavior and design of concrete-filled steel tube (CFST) structures. This paper presents a numerical investigation into the seismic performance of embedded column bases for CFST structures. Finite element (FE) models for seismic analyses of embedded column bases were developed, with the modeling techniques and parameters detailed, and validated against availab.e test results. On the basis of the obtained numerical results, the working mechanisms of embedded column bases under seismic loads, including failure modes, load transfer mechanisms, and interaction stress distributions among different components, were discussed in detail. Parametric studies were subsequently conducted to investigate the influence of a series of identified key parameters. The results revealed that the embedded depth ratio, steel ratio, and cross-section diameter of CFST significantly affected the failure mode, ultimate strength, and energy dissipation capacity of embedded column bases, whereas the endplate dimensions and shear studs influenced only the energy dissipation capacity. Additionally, the anchor bolt ratio and foundation concrete strength showed minimal effects for the investigated parameter ranges. Finally, calculation methods for the ultimate strengths of both deeply and shallowly embedded column bases were established, and the seismic design method and process for embedded column bases were also proposed and validated. © 2025 Elsevier Ltd

关键词： Seismic design

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Mechanical and Thermal Properties of Environmentally Friendly Straw Boards

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SSRN 2023年

作者： Zheng, Chaorong Sun, Kuo Chen, Yixiao Zhang, Wenyuan Wu, Yue 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

Straw is an environmentally friendly, cost-effective, and abundant raw material for building boards. To assess the feasibility of using straw boards as alternative sheathing panels in light-steel-members such as walls and floors, the mechanical and thermal properties of straw boards with high densities were investigated. The straw boards involved in this study include five wheat straw strand boards (WSSB12, WSSB15, WSSB18, WSSB25, and WSSB30) and a paper straw board (PSB58). Mechanical properties, including compression, tension, and bending properties, were investigated by tests and a proposed prediction method of tensile strength. In the experimental studies of compression properties, the failure modes and characteristics of load-deformation curves of compressive specimens, and the parameters of compression properties, including the strength, elastic modulus, and Poisson ratio, were analyzed and summarized, and the differences in material directivity were discussed as well. The WSSBs were found to be transverse isotropic material with brittle characteristics in the plane, while the PSB showed similar brittle characteristics in the failure stage. Furthermore, the experimental studies of bending properties and similar analyses and summaries for test results were carried out. Results show that the bending strength is less than the compressive strength for WSSBs, while the case is just the opposite for PSB, and the elastic moduli of bending and compression are close for both WSSBs and PSB. Then, finite element models (FEMs) of the bending test specimens using the user material subroutine UMAT were developed to predict the tensile strength ft, and the prediction results were qualitatively assessed based on the correlation between ft and fb, fc. As verified, the prediction results of ft are believable, and the prediction method proposed in this study is feasible. Such a prediction method could efficiently determine the tensile strength of similar brittle materials withou

关键词： Tensile strength

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A machine learning based solver for pressure Poisson equations

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Theoretical & Applied Mechanics Letters 2022年第5期12卷 315-321页

作者： Ruilin Chen Xiaowei Jin Hui Li Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications Harbin Institute of Technology(Shenzhen)Shenzhen 518055China

When using the projection method(or fractional step method)to solve the incompressible Navier-Stokes equations,the projection step involves solving a large-scale pressure Poisson equation(PPE),which is computationally expensive and *** this study,a machine learning based method is proposed to solve the large-scale *** machine learning(ML)-block is used to completely or partially(if not sufficiently accurate)replace the traditional PPE iterative solver thus accelerating the solution of the incompressible Navier-Stokes *** ML-block is designed as a multi-scale graph neural network(GNN)framework,in which the original high-resolution graph corresponds to the discrete grids of the solution domain,graphs with the same resolution are connected by graph convolution operation,and graphs with different resolutions are connected by down/up prolongation *** well trained MLblock will act as a general-purpose PPE solver for a certain kind of flow *** proposed method is verified via solving two-dimensional Kolmogorov flows(Re=1000 and Re=5000)with different source *** the premise of achieving a specified high precision(ML-block partially replaces the traditional iterative solver),the ML-block provides a better initial iteration value for the traditional iterative solver,which greatly reduces the number of iterations of the traditional iterative solver and speeds up the solution of the *** experiments show that the ML-block has great advantages in accelerating the solving of the Navier-Stokes equations while ensuring high accuracy.

关键词： Pressure Poisson equation Machine learning Projection method Multi-scale GNN

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Ground motion inversion utilizing sensor-based structural response time histories with a multi-head attention-enhanced temporal convolutional network

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Engineering Applications of Artificial Intelligence 2025年 156卷

作者： Zar, Ali Li, Shuang Li, Changqing Chen, Yicheng Akbar, Muhammad 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 College of Civil Engineering and Architecture Jiangsu University of Science and Technology Jiangsu Zhenjiang China

Accurate measurement of ground motion (GM) time histories is essential for precise structural analysis and safety evaluation. However, high costs, limited availab.lity, and maintenance demands of GM recording devices lead to several challenges. This paper aims to present the Multi-Head Attention-Enhanced Temporal Convolutional Network (MHA-TCN Net), a framework developed for inverting GM from recorded structural response (SR) data during earthquakes. A case study on complex multi-degree-of-freedom (MDOF) structures demonstrates the MHA-TCN Net's ability to predict GM time histories across elastic and various plastic deformation ranges, showcasing its potential for real-time GM inversion. By incorporating a multi-head attention mechanism along with an overlapping subset strategy, the MHA-TCN Net achieves high precision in GM inversion. It consistently demonstrates low validation losses, with the mean absolute error not exceeding 0.063, exhibits test correlation coefficients as high as 0.95, and maintains a mean square error below 0.4 on unseen test datasets. Comparative experiments against the Temporal Convolutional Network, Long Short-Term Memory, Convolutional Neural Network, Gated Recurrent Unit, and Transformer models demonstrate the MHA-TCN Net's faster convergence and superior accuracy for both training and validation phases. Importantly, the proposed approach can handle inherent sensor noise, ensuring reliable performance under challenging field conditions, thereby highlighting the contribution of advanced artificial intelligence methods for engineering applications with constrained data environments. Furthermore, without retuning the network, the model demonstrates high accuracy with limited real-time training datasets, proving its versatility across various real-world datasets, especially in areas with SR sensors but few seismic instrumentations. © 2025 Elsevier Ltd

关键词： Convolutional neural networks

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Interfacial shear behavior in steel-concrete-steel composite structures with stud connectors after freeze-thaw cycles

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Construction and Building Materials 2025年 484卷

作者： Wei, Xudan Yan, Jiachuan Lin, Youzhu 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 School of Civil and Transportation Engineering Northeast Forestry University Harbin150040 China

Steel-concrete-steel (SCS) composite structures have potential applications in the northern cold region. To investigate the interfacial shear performance and failure mechanism of SCS composite structures with stud connectors subjected to freeze-thaw cycles (FTCs), freeze-thaw tests and push-out tests were conducted on 36 specimens to investigate the effects of concrete type, stud quantity, and FTCs. The test results showed that when the core concrete was changed from C30 concrete to ultra-high-performance concrete (UHPC), the shear capacity, shear stiffness, and ductility of the specimens all increased significantly, by approximately two times. Moreover, the failure mode of the specimens shifted remarkably from concrete splitting damage to stud breakage failure. Increasing the stud quantity or FTCs reduced the shear capacity and stiffness of the specimen, yet it exerted a minimal impact on the ductility. In addition, precise finite element models were established to investigate the effect of the relative strength between studs and concrete and the stud spacing on the failure modes and interfacial shear capacity. Based on experimental and finite element data analysis, a formula for calculating the interfacial shear capacity of SCS composite structures after FTCs was proposed. The calculation results were consistent with the test and simulation results, and this formula can serve as a reference for the design and application of SCS composite structures in cold regions. © 2025

关键词： Ultra-high performance concrete

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Sublimation of composite ice and its influence on performance of ice shells

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International Journal of Space structures 2021年第1期36卷 67-77页

作者： Wu, Yue Huang, Junkai Chen, Jiafeng Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin China 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 China Academy of Building Research Co. Ltd Beijing China

The long-span ice composite shell structure is a new type of ice and snow structure developed in recent years. The engineering practice of ice composite shell shows that sublimation is one of the important reasons for its damage and even collapse. In this paper, we firstly supplemented the existing H-K equation and obtained the revised ice sublimation equation through indoor evaporative plate experiment considering the influence of admixtures and wind speed. Afterwards, combining the simulations of solar radiation and CFD, the numerical simulation of sublimation distribution on the surface of were realized by programming in Grasshopper platform. During sublimation, the thickness of the ice composite shell decreases by 0.38 mm every 10 days and the sublimation rate on the sunny side was 1.7 times that on the shady side. Finally, the static performance and stability of the sublimated ice composite spherical shell were analyzed. After 70 days of sublimation, the thickness of the ice composite shell structure becomes thinner and uneven, which leads its sensitivity to external load increases. © The Author(s) 2021.

关键词： Ice

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Experimental and Numerical Study on dynamic Responses of a Tlp-Type Modular Floating Structure System

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SSRN 2024年

作者： Li, Yanwei Ren, Nianxin Cai, Wenyu Liu, Yaqiong Ou, Jinping School of Marine Science and Engineering Hainan University Haikou570228 China State Key Laboratory of Marine Resource Utilization in South China Sea Hainan University Haikou570228 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education China

This paper explores a proposed TLP-type modular floating structure system, incorporating both central TLP modules and peripheral floating artificial reef modules. The outermost floating artificial reef module can function as a floating breakwater, and also serving as a habitat for surrounding marine organisms. Both scale model tests (1:80) and time-domain numerical simulations were performed. The simulations accounted for hydrodynamic interactions among the bodies and the mechanical coupling effects. During the scale model test, a survival strategy has been proposed to prevent collision risks between reef modules and adjacent TLP modules. A preliminary stiffness recommendation was suggested by a trade-off between the pitch of the reef module and the spring force. Numerical and experimental results have been widely compared and discussed. A good agreement has been achieved, although responses are slightly overestimated by numerical simulation due to the neglect of the viscous damping effect. In addition, the responses of the proposed system, connected with and without the outermost floating artificial reef module, have been compared and analyzed. The results suggest that the connection of the reef module can significantly reduce the system's surge response and enhance its survivability under severe sea conditions. © 2024, The Authors. All rights reserved.

关键词： dynamic response

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