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A robust protocol to compute wind load coefficients of telecommunication towers and antennas using numerical simulation for risk and resilience assessment

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Resilient Cities and structures 2024年第1期3卷 66-83页

作者： Mohanad Khazaali Liyang Ma Keivan Rokneddin Matteo Mazzotti Paolo Bocchini Research Engineer Extreme Event Solutions at VeriskLafayette City CenterBostonMA 02111USA Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090PR China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090PR China Senior Research Scientist RenaissanceRe Risk SciencesUSA Research Associate P.M.Rady Department of Mechanical EngineeringUniversity of Colorado Boulder1111 Engineering Dr UCB 427BoulderCO 80309USA Professor Dept.of Civil and Environmental EngineeringLehigh University117 ATLSS DrBethlehemPA 18015-4729.USA Director Catastrophe Modeling CenterLehigh UniversityBethlehemPAUSA

An accurate estimation of wind loads on telecommunication towers is crucial for design,as well as for perform-ing reliability,resilience,and risk *** particular,drag coefficient and interference factor are the most significant factors for wind load *** tunnel tests and computational fluid dynamics(CFD)are the most appropriate methods to estimate these *** wind tunnel tests are generally preferred in practice,they require dedicated facilities and personnel,and can be expensive if multiple configurations of tower panels and antennas need to be tested under various wind directions(e.g.,fragility curve development for system resilience analysis).This paper provides a simple,robust,and easily accessible CFD protocol with widespread applicability,offering a practical solution in situations where wind tunnel testing is not feasible,such as complex tower configurations or cases where the cost of running experiments for all the tower-antennas configurations is prohibitively *** turbulence models,structural and fluid boundary conditions and mesh types are tested to provide a streamlined CFD modeling strategy that shows good convergence and balances accuracy,computational time,and *** protocol is calibrated and validated with experimental studies available in the *** demonstrate the capabilities of the protocol,three lattice tower panels and antennas with different configurations are analyzed as *** protocol successfully estimates the drag and lateral wind loads and their coefficients under different wind *** differences are observed between the esti-mated wind loads with this protocol and those computed by a simple linear superposition used in most practical applications,indicating the importance of tower-antenna ***,as expected,the wind loads recom-mended by design codes overestimate the simulated *** importantly,the telecommunication design codes inadequate

关键词： Generalized CFD protocol Lattice tower Tower panel Microwave antenna Wind coefficients Tower-antenna interaction

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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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Seismic performance of buckling-restrained braced steel frames subjected to earthquake main shock-aftershock sequences

Seismic performance of buckling-restrained braced steel fram...

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2022 International Conference on Applied Mechanics and Advanced Materials, ICAMAM 2022

作者： Gong, Chao Jia, MingMing Cheng, XuanHao Gritcuk, Mishel China Metallurgical Construction Research Institute Co. Ltd. Beijing100088 China 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 Harbin150090 China

Recently, there are many papers report the development of some new buckling-restrained braced (BRB) frames and the evaluation of its characteristics. At the same time self-centering buckling-restrained braced (SCBRB) frames are considered as new solutions for the increasing of the structural resilience. In this thesis, the seismic performance of structures is analyzed subjected to earthquake main shock-aftershock sequences. There is comparison of two types of the additional BRB elements, and also there is comparison between them and original steel frame to show the effect of using BRB and SCBRB elements. To compare the seismic performance of BRBF and SCBRBF, the same main shock-aftershock sequences were used in this part. Because of the flag-shaped hysteretic curve of the SCBRB elements, big amount of the energy was dissipated during the motion. Compared to steel frame, smaller seismic responses and residual deformation occurred the structure. BRBF and SCBRBF can control the seismic responses effectively due to the energy dissipation of BRB, and SCBRB can also reduce the structural residual deformation. The earthquake aftershock after earthquake main shock can increase the structural damage and enlarge the structural seismic responses. © Published under licence by IOP Publishing Ltd.

关键词： Seismic response

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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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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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Simulation of thermal radiation effects on the thermal properties of parietodynamic walls using an innovative model

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Low-carbon Materials and Green Construction 2024年第1期2卷 279-296页

作者： Xianzhang Dong Baochen Lin Huigang Xiao Min Liu School of Civil Engineering Harbin Institute of Technology73 Huanghe RoadHarbinHeilongjiang 150090People’s Republic of China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090People’s Republic of China Heilongjiang Heijianyi Construction Engineering Co. Ltd.Harbin 150040People’s Republic of China

The parietodynamic wall, a type of dynamic insulation, has been recognized as an effective technology to reduce energy loss in buildings by recovering heat energy through forced convection. However, current research on the thermal performance of parietodynamic walls has overlooked the influence of thermal radiation, a crucial factor in energy transfer within the air layers of these walls. To bridge this gap, an innovative simulation model was developed and experimentally validated. Employing simulation methods, we investigated the impact of thermal radiation on the thermal behavior of parietodynamic walls under various influencing factors. Our findings reveal that thermal radiation markedly increases heat loss. Specifically, at an emissivity of 1, thermal radiation contributes up to 80.7% to the heat transfer coefficient (HTC) of the parietodynamic wall. Moreover, for a parietodynamic wall without insulation, the HTC of this wall will increase by more than 268% when thermal radiation is taken into account, compared to when it is not considered. These revelations deepen our comprehension of the role of thermal radiation in parietodynamic walls and offer valuable guidance for the development of more energy-efficient buildings.

关键词： Parietodynamic wall Thermal performance Thermal radiation Air layer Heat recovery Simulation

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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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Engineering Interfacial Transition Zone with Polymer Nanocomposites: Break the Dilemma between Strength and Damping

SSRN

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SSRN 2023年

作者： Li, Cheng Tang, Zhuo Zhong, Jing School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behavior and Control Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigating of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

The damping performance of mortar/concrete is typically promoted by randomly hybridizing with an excessive mass of soft polymers at the cost of strength. We propose a strategy to break the typically observed dilemma between strength and damping by coating aggregates with a thin layer of polyacrylic ester/carbon nanotube (PAE/CNT) nanocomposite, which was readily achieved by dip coating. The coated nanocomposite with high modulus is subjected to high stress at ITZ upon external load due to stress concentration, greatly enhancing its energy dissipation capability. The friction at the nano-interface between CNT and polymer matrix further contributes to the much-improved damping, while the coating layer can densify the ITZ thus increases the strength of the concrete. With an optimal coating mass of 5 mg/g, the compressive strength and loss factor at 28 days are increased by 21.7% and 33.3%, respectively. © 2023, The Authors. All rights reserved.

关键词： Carbon nanotubes

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

SSRN

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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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