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Estimating Ground Snow Load Based on Ground Snow Depth and Climatological Elements for Snow Hazard Assessment in Northeastern China

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International Journal of Disaster Risk Science 2022年第5期13卷 743-757页

作者： Huamei Mo Guolong Zhang Qingwen Zhang H.P.Hong Feng Fan Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbin 150090China Department of Civil and Environmental Engineering University of Western OntarioLondonOntario N6A 5B9Canada

Extreme snow loads can collapse *** load is calculated based on the ground snow load(that is,the snow water equivalent on the ground).However,snow water equivalent(SWE) measurements are unavailable for most sites,while the ground snow depth is frequently measured and recorded.A new simple practical algorithm was proposed in this study to evaluate the SWE by utilizing ground snow depth,precipitation data,wind speed,and air *** the evaluation,the precipitation was clas sified as snowfall or rainfall according to the air temperature,the snowfall or rainfall was then corrected for measurement error that is mainly caused by wind-induced undercatch,and the effect of snow water loss was *** developed algorithm was applied and validated using data from57 meteorological stations located in the northeastern region of *** annual maximum SWE obtained based on the proposed algorithm was compared with that obtained from the actual SWE *** return period values of the annual maximum ground snow load were estimated and compared to those obtained according to the procedure suggested by the Chinese structural design *** comparison indicated that the use of the proposed algorithm leads to a good estimated SWE or ground snow *** use allowed the estimation of the ground snow load for sites without SWE measurement and facilitated snow hazard mapping.

关键词： Ground snow depth Ground snow load Northeastern China Precipitation data Snow hazard mapping Snow water equivalent

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Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach 13

Data-driven modelling of building retrofitting with incomple...

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13th Nordic Symposium on Building Physics, NSB 2023

作者： Yu, Haitao Feng, Kailun Penaka, Santhan Reddy Man, Qingpeng Lu, Weizhuo Olofsson, Thomas Department of Construction Management Harbin Institute of Technology Harbin150009 China Department of Applied Physics and Electronics Umea University Umea90187 Sweden Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150009 China

Building performance simulation (BPS) based on physical models is a popular method for estimating the expected energy savings from energy-efficient building retrofitting. However, for many buildings, especially older buildings, built several decades ago, an operator do not have full access to the complete information for the BPS method. Incomplete information comes from the lack of detailed building physics, such as the thermal transmittance of some building components due to the deterioration of components over time. To address this challenge, this paper proposed a data-driven approach to support the decision-making of building retrofitting selections under incomplete information conditions. The data-driven approach integrates the backpropagation neural networks (BRBNN), fuzzy C-means clustering (FCM), and generative design (GD). It generates the required big database of building performance through generative design, which can overcome the problem of incomplete information during building performance simulation and energy-efficient retrofitting. The case study is based on old residential buildings in severe cold regions of China, using the proposed approach to predict energy-efficient retrofitting performance. The results indicated that the proposed approach can model the performance of residential buildings with more than 90% confidence, and show the variation of results. The core contribution of the proposed approach is to provide a way of performance prediction of individual buildings resulting from different retrofitting measures under the incomplete physics condition. © Published under licence by IOP Publishing Ltd.

关键词： Deterioration

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Research on experimental similarity criterion and snowdrifts on two-span single-pitch roofs 20th

Research on experimental similarity criterion and snowdrifts...

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20th fib Symposium on ReConStruct: Resilient Concrete structures, 2024

作者： Zhang, Qingwen Wang, Yongsuo Zhang, Guolong Zhang, Yu Fan, Feng Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education Harbin Institute of Technology Harbin150090 China Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China China Telecom Corporation Limited Beijing Branch Beijing100032 China

ISBN: (纸本)9782940643257

Extreme blizzards have been striking the world, causing widespread building collapses. Among them, two-span roofed structures are vulnerable to snowdrifts due to the overloaded snow accumulated in the valley area. Considering the widely use of such roof in concrete structures, deep research of snowdrifts on two-span single-pitch roofs were conducted based on the snow-wind combined experiment facility and a new similarity criterion. Firstly, a snowfall-process-based experiment facility and a new Froude similarity number were proposed. The experiment facility is an open wind tunnel, which could simulate the snowfall process by spraying the artificial snow particles into the manmade flow field. The Froude number was revised based on the friction velocity ratio, which could better restore the snow drifting process. Through systematic validation, their reliability in predicting snowdrifts was fully proved. Then, a series of wind tunnel tests of snowdrifts on two-span single-pitch roofs were conducted with various inflow conditions and roof shapes. The results show that the snow distribution pattern on the roof is mainly determined by the roof slope. While for each type of roof slope, the wind velocity has little effect on the snow distribution. As for the wind direction, two types of typical unbalanced distribution of snow on the roof were observed. © fédération internationale du béton (fib).

关键词： Wind tunnels

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Physical Review Fluids 2024年第5期9卷 054608-054608页

作者： Xue-Lu Xiong (熊雪露) Shujin Laima (赖马树金) Hui Li (李惠) Yi Zhou (周毅) School of Energy and Power Engineering Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications

This paper presents a quadrant analysis of turbulent rotor wakes, placing a particular emphasis on the self-similarity in single-point turbulent statistics. The self-similarity analysis reveals that within the wake self-similar region, the distribution of the Reynolds shear stress −u′v′¯ and the turbulent kinetic energy k in different quadrants can also attain a state of self-similarity. The length scaling is the same for −u′v′¯, k, and their different quadrant contributions. However, the velocity scaling of the ejection contribution differs from that of −u′v′¯ and k. Additionally, the analysis of hole filtering and spectrum filtering effects on the self-similarity and scaling of the ejection contribution to −u′v′¯ reveals a strong connection between ejection events and large-scale coherent structures, as well as deceleration extreme events. This finding is further confirmed through quadrant analysis of the time evolution of velocity fluctuations. The present study can be helpful in improving our understanding of the turbulent wake self-similarity.

关键词： Shear flows Wakes & jets

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Characteristics of aerodynamic force and flow structure behind single box girder under isolated slit control

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Journal of Central South University 2022年第8期29卷 2542-2557页

作者： CHEN Guan-bin CHENWen-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

An isolated slit was placed in a single box girder to obtain passive leading-edge suction and trailing-edge jet flow to control the unsteady aerodynamic force and modify the flow *** Great Belt East Bridge was used as a physical model at a geometric scale of 1:*** tunnel experiments were conducted at an incoming airflow speed of 10 m/s,and the Reynolds number was calculated as 2.3×104 using the test model height and wind *** surface pressure distribution was measured,and the aerodynamic force acting on the test model with and without the isolated slit was calculated by integrating the pressure *** was found that the control using an isolated slit can dramatically decrease the fluctuating surface pressure distribution and aerodynamic *** analysis on the power spectral density of the lift force revealed that the isolated slit accelerated vortex ***,high-speed particle image velocimetry was used to investigate the wake flow structure behind the test model.A vortex separated from the upper surface was pushed to a lower location and the wake flow structure was modified by the isolated slit.A proper orthogonal decomposition(POD)of the flow field showed that the first two POD modes in the controlled case contributed less energy than those in the uncontrolled case,indicating that more energy was transferred to higher modes,and small-scale vortices had more energy.A secondary instability structure was found in the wake flow for a nondimensional jet momentum coefficient J of 0.0667.

关键词： single box girder isolated slit aerodynamic force proper orthogonal decomposition(POD)mode

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Nodes2STRNet for structural dense displacement recognition by deformable mesh model and motion representation

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International Journal of Mechanical System dynamics 2023年第3期3卷 229-250页

作者： Jin Zhao Hui Li Yang Xu Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of TechnologyHarbinChina Key Lab of Structures Dynamics Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbinChina School of Civil Engineering Harbin Institute of TechnologyHarbinChina Department of System Design and Simulation Goldwind Science and Technology Co.Ltd.BeijingChina

Displacement is a critical indicator for mechanical systems and civil *** vision-based displacement recognition methods mainly focus on the sparse identification of limited measurement points,and the motion representation of an entire structure is very *** study proposes a novel Nodes2STRNet for structural dense displacement recognition using a handful of structural control nodes based on a deformable structural three-dimensional mesh model,which consists of control node estimation subnetwork(NodesEstimate)and pose parameter recognition subnetwork(Nodes2PoseNet).NodesEstimate calculates the dense optical flow field based on FlowNet 2.0 and generates structural control node ***2PoseNet uses structural control node coordinates as input and regresses structural pose parameters by a multilayer perceptron.A self-supervised learning strategy is designed with a mean square error loss and L2 regularization to train *** effectiveness and accuracy of dense displacement recognition and robustness to light condition variations are validated by seismic shaking table tests of a four-story-building *** studies with image-segmentation-based Structure-PoseNet show that the proposed Nodes2STRNet can achieve higher accuracy and better robustness against light condition *** addition,NodesEstimate does not require retraining when faced with new scenarios,and Nodes2PoseNet has high self-supervised training efficiency with only a few control nodes instead of fully supervised pixel-level segmentation.

关键词： structural dense displacement recognition deformable structural mesh model deep-learning-based monocular vision self-supervised learning

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Experimental investigation on cenosphere-aluminum syntactic foam-filled tubes under axial impact loading

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2023年第11期24卷 978-990页

作者： Li WANG Boyi ZHANG Jian ZHANG Yuexin JIANG Wei WANG Gaohui WU School of Civil Engineering Harbin Institute of TechnologyHarbin 150090China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of TechnologyHarbin 150090China Center for Metal Matrix Composites Engineering Technology Harbin Institute of TechnologyHarbin 150006China

A new syntactic foam material was prepared by screening three different average particle sizes of cenospheres(150,200,and 300μm)from industrial waste fly *** impact testing on syntactic foam filler and foam-filled tubes was conducted using a drop hammer test *** effects of parameters,such as the size of cenospheres and the impact velocity,on the mechanism of deformation,mechanical characteristics,and capacity for energy absorption of the specimen were *** this basis,the differences in compressive properties exhibited by the syntactic foam-filled tubes under the two loading conditions were *** results indicate that with the decrease in the average diameter of cenospheres,the initial peak crushing load and mean crushing load of foam-filled tubes increase,while the compression efficiency *** specific energy absorption(SEA)of the syntactic foam-filled tube can reach 25 J/*** the increase of impact velocity,the SEA of the specimen increases *** was demonstrated that the syntactic foam-filled tube exhibits a higher effective energy absorption ratio under impact loading compared to quasi-static loading.

关键词： Cenosphere-aluminum syntactic foam Crashworthiness Mechanical properties Absorption of energy

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Axial Compressive behaviors of the Curved Steel-Plate Composite Walls with Small Curvature Radius-to-Section Thickness Ratio

SSRN

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SSRN 2024年

作者： Guo, Lanhui Liu, Cheng Gao, Shan Yu, Yue Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China China National Nuclear Power Co. Ltd Beijing China

Curved steel-plate composite (SC) walls are widely used in nuclear engineering due to their advantages in seismic performance and modular construction. This study tested the axial compression performance of five curved SC wall specimens and three flat SC wall specimens by considering the effects of the curvature radius-to-section thickness ratio (R/T) and connector spacing-to-steel plate thickness ratio (b/t). The tested results show that the steel plates in curved SC walls with small R/T (R/T © 2024, The Authors. All rights reserved.

关键词： Axial compression

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Analytical Study of Seismic Demand and Fragility of Piping Systems in the Reticulated Shell structures 26th

Analytical Study of Seismic Demand and Fragility of Piping S...

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26th Australasian Conference on the Mechanics of structures and Materials, ACMSM 2023

作者： Li, Fengze Zhi, Xudong Zhu, Enchun Wang, Duozhi Zhang, Rong School of Civil Engineering Harbin Institute of Technology Harbin China Key Lab of Structures Dynamic Behaviour 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 China Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics China Earthquake Administration Harbin China Key Laboratory of Earthquake Disaster Mitigation Ministry of Emergency Management Harbin China

ISBN: (纸本)9789819733965

The large-span spatial hub structure is an important urban lifeline project with complex structure form and many types of internal non-structural components. As one of the main non-structural components, the safety of the piping system is important to ensure the normal use of the overall function of the large span hub structure. Once damage occurs to the piping system under the action of earthquake, it will affect the traffic operation and urban rescue, resulting in incalculable casualties and property damage. To assess the impact of diverse connection locations on the piping system’s response, this study investigates acceleration and response amplification factors at various positions within the reticulated shell structure. Through this analysis, we underscore the critical need to consider the spatial coupling effect for the piping system within the reticulated shell structure. In this study, the seismic response and damage modes of the internal piping system in a prevalent type of reticulated shell structures are investigated. This is achieved by establishing a coupled finite element model of the reticulated shell structure and the piping system. Three distinct damage modes of the piping system and their corresponding computational signs are identified, facilitating the creation of fragility curves for the piping system. The results highlight significant variation in the damage degree of the piping system at different locations. Additionally, past studies have shown a notable probability of damage to piping systems, even under very slight ground shaking, emphasizing the necessity for careful consideration. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Shells (structures)

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Multi-Level Fusion Method Based on Improved Stacked Hourglass Network for Edge Detection

SSRN

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SSRN 2024年

作者： Li, Shuang Chen, Yicheng Li, Changqing Feng, Chang Zhai, Changhai 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 The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

Edge detection is one of the most challenging tasks in computer vision due to the complexity of various objects and backgrounds. Previous efforts in edge detection often faced significant difficulties, resulting in many fine details being overlooked and coarser edges being detected. This study adopts a stacked hourglass network as the backbone of the architecture, and extracts edge information at different receptive fields using convolution kernels of varying sizes. In the data fusion segment, the CBAM (Convolutional Block Attention Module) attention mechanism is employed to integrate five distinct types of captured edge information. The method was trained on the BIPED (Barcelona Images for Perceptual Edge Detection) dataset, and the results show that it achieved favorable outcomes on the ODS, OIS, and AP metrics in the test sets. Furthermore, the method also demonstrated great predictive performance on UDED (Unified Dataset for Edge Detection) dataset, delivering clearer boundary features. © 2024, The Authors. All rights reserved.

关键词： Data fusion

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