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SSRN 2023年

作者： Li, Zhihao Zhou, Wei School of Civil Engineering Key Lab of Structures Dynamic Behavior and Control Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disaster Ministry of Industry and Information Technology Harbin Institute of Technology 73 Huanghe Road Nangang District Harbin150090 China

Ultra-High-Performance Fiber Reinforced Concrete (UHPFRC) not only has high compressive and tensile strength, but also exhibits strain-hardening characteristics in tension due to the addition of steel fibers. In this study, a new-style fiber orientation device equipped with a vibration motor of adjustable vibrational frequency was used to prepare UHPFRC. The wall effect and fiber length were considered in the manufacturing process of the device. Uniaxial tensile tests were conducted on fiber-oriented UHPFRC to explore the effects of vibrational frequency and corresponding vibrational force on the tensile behaviors. The test results showed that the elastic ultimate tensile strength, elastic ultimate tensile strain, tensile strength, peak tensile strain, and tensile elastic modulus of UHPFRC specimens cast by fiber orientation process at various vibrational frequencies were different. The fiber orientation parameters were quantitatively evaluated by the image analysis technique to explain the differences in tensile properties of the specimens. The effect of different vibrational frequencies on the tensile strength of UHPFRC matrix and its porosity was also considered. Therefore, this study provides a reference for how to adjust the vibrational frequency of the vibrating platform under the directional channel when pouring relevant components. © 2023, The Authors. All rights reserved.

关键词： Steel fibers

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Research on Local Heating Technology in Extremely Low Temperature Environment Based on Thermal Comfort and CFD 18

Research on Local Heating Technology in Extremely Low Temper...

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18th IBPSA Conference on Building Simulation, BS 2023

作者： Wang, Zhen Zhang, Yuanyuan Gao, Hu Xia, Yun Wu, Yue Liu, Jing School of Architecture Harbin Institute of Technology Heilongjiang Harbin150006 China Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology Ministry of Industry and Information Technology China Heilongjiang Province Academy of Cold Area Building Research Heilongjiang Harbin150080 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 Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

This paper investigated the effect of personal heating technology on human thermal comfort and skin temperature in extremely low temperature environment. Four subjects carried out personal heating experiments in a low temperature laboratory at around -21°C. Personal heating equipment includes heating glove, heating cushion, heating mat and airwarmer. In order to maximize the thermal comfort of personnel, this paper designed an efficient local heating system based on airwarmer and heating mat. At the same time, in order to better evaluate the thermal comfort of personnel in an extremely low temperature environment, an improved one-dimensional stolwijk human thermoregulation model(HTM) was established. By combining it with CFD, the influence of the airwarmer on the thermal comfort of personnel and skin temperature was simulated. This method can be used to assess the overall thermal sensation and thermal comfort of personnel in extremely low temperature environment. © 2023 *** rights reserved.

关键词： Thermal comfort

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Transfer the Evaluation of Energy-Efficient Building Retrofitting: A Sweden-China Empirical Study

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SSRN 2023年

作者： Man, Qingpeng Yu, Haitao Feng, Kailun Olofsson, Thomas Lu, Weizhuo Department of Construction Management Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150009 China Intelligent Human-Buildings Interactions lab Department of Applied Physics and Electronics Umeå University Umeå90187 Sweden

Energy-efficient retrofitting is regarded as a promising and widely applicable approach to reducing the energy use and carbon emissions of existing buildings. It is critical to properly evaluate and compare the performances of different energy-efficient retrofitting strategies. Data-driven modelling based on large building performance datasets is an effective method for such evaluations. However, it could be challenging to apply this approach to buildings from data-poor areas where local building performance datasets have not been well-established, which means the data falls short of the high demand for building retrofitting on a global level. To address this, a transfer learning approach is proposed in this study that can evaluate the performance of buildings without local well-established building performance datasets. The proposed approach is applied in the Swedish-Chinese empirical study that relies on the Swedish dataset to transfer and predict the building performance in China without well-established datasets. It was achieved by applying fuzzy C-means clustering and a neural network (FCM-BRBNN) to pre-train the evaluation model based on the Swedish dataset. Then, the proposed approach collects a small sample of Chinese buildings in the data-poor area and transfers the model to local building performance prediction. The results show that the transfer learning approach can reliably predict the performance of building retrofitting in data-poor areas with only hundreds of local building samples. As such, this study provides a novel methodology that can support the evaluation and comparison of retrofitting strategies in data-poor religions and countries, being pivotal for the international collaboration required to stimulate the global energy-efficiency transformation. © 2023, The Authors. All rights reserved.

关键词： Large dataset

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SDIGLM: Leveraging Large Language Models and Multi-Modal Chain of Thought for Structural Damage Identification

arXiv

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arXiv 2025年

作者： Zhang, Yunkai Wei, Shiyin Huang, Yong Su, Yawu Lu, Shanshan Li, Hui Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters Ministry of Industry and Information Technology 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 CSCEC Digital Technology Co. Ltd. Beijing100000 China

Existing computer vision(CV)-based structural damage identification models demonstrate notable accuracy in categorizing and localizing damage. However, these models present several critical limitations that hinder their practical application in civil engineering(CE). Primarily, their ability to recognize damage types remains constrained, preventing comprehensive analysis of the highly varied and complex conditions encountered in real-world CE structures. Second, these models lack linguistic capabilities, rendering them unable to articulate structural damage characteristics through natural language descriptions. With the continuous advancement of artificial intelligence(AI), large multi-modal models(LMMs) have emerged as a transformative solution, enabling the unified encoding and alignment of textual and visual data. These models can autonomously generate detailed descriptive narratives of structural damage while demonstrating robust generalization across diverse scenarios and tasks. This study introduces SDIGLM, an innovative LMM for structural damage identification, developed based on the open-source VisualGLM-6B architecture. To address the challenge of adapting LMMs to the intricate and varied operating conditions in CE, this work integrates a U-Net-based semantic segmentation module to generate defect segmentation maps as visual Chain of Thought(CoT). Additionally, a multi-round dialogue fine-tuning dataset is constructed to enhance logical reasoning, complemented by a language CoT formed through prompt engineering. By leveraging this multi-modal CoT, SDIGLM surpasses general-purpose LMMs in structural damage identification, achieving an accuracy of 95.24% across various infrastructure types. Moreover, the model effectively describes damage characteristics such as hole size, crack direction, and corrosion severity. Copyright © 2025, The Authors. All rights reserved.

关键词： Structural health monitoring

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Defect-Mediated Work Function Regulation in Graphene Film for High-Performing Triboelectric Nanogenerators

SSRN

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SSRN 2022年

作者： Zhou, Jian Zhang, Jianing Deng, Yuanpeng Zhao, Han Zhang, Pengyu Fu, Shubing Xu, Xiang Li, Hui Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China

Triboelectric nanogenerators (TENGs) demonstrate an attractive pathway to directly convert broadband mechanical energy into electrical energy for a green and clean energy source. Triboelectric material design with tailored work function has played a critical role in enhancing the output performance of TENGs. However, regulating the work function of triboelectric materials still remains challenging due to the limited particle/group/ion doping rate. Here, we reported a simple defect-mediated strategy (DMS) to regulate the work function in graphene film as the positive triboelectric material by different contents of oxygen and carbon defects derived at annealing temperatures from 500 ºC to 3000 ºC. Our DMS features a continuous and wide-range tunable work function from 4.680 eV to 4.479 eV, and the as-assembled TENGs produce output voltages and currents up to 190 V and 14 μA, respectively. The efficient work function regulation of this type establishes a set of fundamental considerations in triboelectric material design, especially the two-dimensional materials, to enhance the energy harvesting and sensing performances of TENGs. © 2022, The Authors. All rights reserved.

关键词： Nanogenerators

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1H LF-NMR study on water migration behavior of fresh cement paste with limestone powder

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Cement and Concrete Research 2025年 191卷

作者： Qiao, Jing Zhou, Chunsheng Feng, Jingjing Miao, Miao Ji, Yanliang Gu, Linan 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 Water Conservancy and Civil Engineering Shandong Agricultural University Tai'an271018 China Department of Civil Engineering Technische Universität Berlin Berlin13355 Germany

Limestone powder (LS) with large particle sizes is widely used, but its effect on water migration behavior remains unclear. This study investigates the influence of LS and viscosity-enhancing admixtures (VEAs) on the water migration behavior and water distribution in fresh cement paste using 1H low-field nuclear magnetic resonance (LF-NMR). Results indicate that LS increases the size of water migration channels, accelerates the water migration rate, and raises the bleeding ratio, while VEAs substantially mitigate the effects of LS. Compared to polyacrylamide, cellulose ether significantly slows down the water migration rate before 40 min, thereby reducing the bleeding ratio. Additionally, relaxation times were found to decrease during bleeding and can reflect the sedimentation process. It is confirmed that the pore structure of fresh paste exhibits fractal characteristics, with the fractal dimension closely correlating with water migration rates. The underlying mechanisms and their implications on material behavior are thoroughly analyzed and discussed. © 2025 Elsevier Ltd

关键词： Limestone

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Experimental and Analytical Investigations on Impact Responses of Scs Panel with Dual Energy Absorbers

SSRN

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SSRN 2024年

作者： Lu, Jingyi Wang, Yonghui Zhou, Hongyuan Ma, Jialu 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 Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China Key Lab of Urban Security and Disaster Engineering The Ministry of Education Beijing University of Technology Beijing100124 China Institute of Engineering Mechanics China Earthquake Administration Harbin150080 China

A new steel-concrete-steel panel with front aluminum foam layer and rear energy absorbing connector (SCS-FL-EAC) was firstly developed. The dynamic behavior of SCS-FL-EAC was studied through conducting drop-weight impact tests. Three stages of impact process of SCS-FL-EAC were identified. The aluminum foam layer and energy absorbing connector were crushed under impact loading. The aluminum foam layer reached densification, and a local indention was observed beneath the projectile. Plastic hinges were also found at the corners of the pleated steel plate of the energy absorbing connector. The SCS panel exhibited the combination of bi-linear global flexural deformation and local deformation. Furthermore, the effects of aluminum foam layer on the impact resistant performances of SCS-FL-EAC were investigated. The results indicated that the inclusion of the aluminum foam layer effectively mitigated inertial effects and reduced the maximum impact force. Additionally, the SCS-FL-EAC demonstrated improved impact-resistant performances with an increased thickness of the aluminum foam layer. Furthermore, an analytical model was proposed to predict the force and displacement responses of SCS-FL-EAC subjected to impact load, and the predicted impact responses showed good agreement with experimental results. © 2024, The Authors. All rights reserved.

关键词： Energy absorption

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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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Ground settlement monitoring method based on distributed optical fiber sensing technology 8

Ground settlement monitoring method based on distributed opt...

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8th Symposium on Novel Photoelectronic Detection Technology and Applications

作者： Liu, Weikang Zhang, Lubin Zhou, Wensong 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 Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Heilongjiang Harbin150090 China Fujian Academy of Building Research Co. Ltd Fujian Fuzhou350108 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Continuous and distributed monitoring of ground settlement is of great significance for the evaluation of ground stability. To realize the distributed on-line and real-time monitoring of ground settlement, a ground settlement strain-displacement transformation algorithm based on distributed strain data was proposed in this work. The distributed strain data was obtained by distributed optical fiber sensing (DOFS) technology. The effectiveness of the algorithm was first verified by numerical simulation, and the factors affecting the accuracy of the algorithm were analyzed. Then, experiments were carried out to verify the effectiveness of the algorithm for actual settlement monitoring. Test results show that the ground settlement displacement obtained by the proposed algorithm is basically consistent with the actual ground settlement displacement, which can meet the needs of ground settlement monitoring. However, there are still errors in the results obtained by the algorithm, which mainly come from, strain monitoring accuracy, and spatial resolution of the demodulator (k value). The smaller the k value, the higher the strain accuracy, the higher the accuracy of the algorithm. © 2022 SPIE

关键词： Time domain analysis

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Landslide intrusion monitoring method based on ?-OTDR 8

Landslide intrusion monitoring method based on ?-OTDR

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8th Symposium on Novel Photoelectronic Detection Technology and Applications

ISBN: (纸本)9781510653115

Phase-sensitive optical time domain reflectometry (?-OTDR) technology is a disturbance monitoring technology based on Rayleigh scattering. The principle is that when sensing fiber is disturbed, the refractive index at the disturbance point will change, which will affect the intensity of Rayleigh backscattered light, so as to locate disturbance point. This technology can be used for perimeter security, intrusion monitoring etc. For a landslide about to slide, timely and accurate detection of intrusion events on it is of great significance for the evaluation of landslide state and timely response. In this paper, we proposed a method for landslide intrusion monitoring based on ?-OTDR. We first studied the performance of the instrument used in this work. Then, different intrusion behaviors were simulated and monitored. And the signal characteristics of different behaviors were analyzed. Test results show that different intrusion events can be distinguished by event frequency. © 2022 SPIE

关键词： Landslides

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