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Studyon failure modeof husk mortar energy-saving wallboards 9th

Studyon failure modeof husk mortar energy-saving wallboards

9th International Structural Engineering and Construction Conference: Resilient structures and Sustainable Construction, ISEC 2017

作者： Zhang, Yu Zhang, Qingwen Zhao, Jian Zhou, Guangchun Key Lab of Structures Dynamic Behavior and Control of Ministry of Education Harbin China Key Lab of Smart Prev. and Mitigation of Civ. Eng Disasters of the Min. of Indust. and Info. Technol Harbin China School of Civil Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9780996043748

This paper focuses on husk mortar wallboard, which is a new type of energy-saving composite wallboard with new materials and complex working mechanism. There are eight total different dimensioned panels tested. Six of them are openings (window or door), with different opening rates;the other two are full panels with same dimensions. Based on the experimental data, they are analyzed under both horizontal and vertical direction loading, combined with the finite element analysis to reveal the working characteristics. The finite element model of husk mortar energy-saving wallboards is established by ANSYS software. Finally, the finite element results are compared with the experimental results from three aspects: ultimate load, failure mode and load displacement curve, which verifies the correctness of the finite element model. Copyright © 2017 ISEC Press.

关键词： Mortar

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Analysis on dynamic response of quadrangular pyramid grid structure with supporting columns

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Tumu Gongcheng Xuebao/China Civil Engineering Journal 2014年第12期47卷 9-15页

作者： Sun, Menghan Fan, Feng Zhi, Xudong Kong, Dewen Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

In recent years, destructive earthquakes, such as the Wenchuan earthquake and the Lushan earthquake, have caused buckling of supporting members in large space grid structures and certain damages of bracing members, which attracted intense attentions of scholars to its failure mechanism. As a result, the conventional analyzing method, which only considers the characteristics of upper structure, and ignores the coupling effect between the supporting members and the upper structure, is reviewed. In this study, the grid structures with supporting columns are analyzed. With the regularly and obliquely placed quadrangular pyramid grid structures taken as the example, the seismic performances of grid structures with supporting columns of different stiffness are compared. In addition, the influence of site type on this kind of grid structure is evaluated. Consequently, the specific influence ranges from the varied stiffness on the grid structure under the impact of horizontal and vertical response spectrum are provided. Furthermore, the preliminary aseismic design methods are proposed for the two common types of grid structures.

关键词： Stiffness

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Influence of mineral admixtures on the rheological behavior of self-compacting concrete

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Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 2016年第2期46卷 439-444页

作者： Gao, Xiao-Jian Sun, Bo-Chao Ye, Huan Wang, Zi-Long Key Lab of Structures Dynamic Behavior and Control Ministry of Education Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

In this paper, the influence of mineral admixtures on the rheological properties of fresh Self-Compacting Concrete (SCC) mixture was studied using a new type of concrete rheometer. The results show that both yield shear stress and plastic viscosity of the SCC mixture decrease as the content of fly ash in the mixture increases. As the content of Ground Granulated Blast Furnace Slag (GGBFS) increases, the thixotropy behavior of the SCC mixture becomes more obvious, and the yield stress decreases first and then increases. Both the yield stress and the thixotropy behavior of SCC mixture increase with the addition of limestone powder. For all the SCC mixtures with different mineral admixtures, as the storage time increases, the thixotropy behavior of fresh concrete is gradually weakened, the yield stress increases and the plastic viscosity decreases. © 2016, Editorial Board of Jilin University. All right reserved.

关键词： Fly ash

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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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Data science and engineering for structural health monitoring 8

Data science and engineering for structural health monitorin...

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8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017

作者： Li, H. Bao, Y.Q. Li, S.L. Ou, J.P. Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Intelligent Disaster Mitigation of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

ISBN: (纸本)9781925553055

Structural health monitoring (SHM) technology study the damage or even characteristics of disaster evolving of structures by various types of sensors installed on structures and provide scientific support for the structural design, construction, maintenance and operation safety. The significant scientific issues of SHM can be concluded as 'sensing' and 'data'. According to the widely application of SHM on civil infrastructures and accumulation of huge quantities of data, it is well-recognized that data sciences and engineering for SHM is increasingly becoming a world-wide research focus. The issue of 'data' is core target of SHM which includes the data acquisition, transmission and management, data analysis and mining, structural damage identification and structural safety assessment and so on. This paper reviews the recent research development of data sciences and engineering on our research group which includes data acquisition by compressive sensing based on group sparse optimization, computer vison and deep learning methods for data anomaly detection and structure condition assessment, the identification and modeling of spatio-temporal distribution of vehicle loads, and corrosion damage and crack identification by computer vision ***, the artificial intelligence in civil engineering is the extension of SHM technique, and will make the civil structure have ability of "see", "sensing", "thinking","talking", "action and "adapation" (2S+2T+2A). © 2017 International Society for Structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.

关键词： Structural health monitoring

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Retraction notice to "Study on damage rules on concrete under corrosion of freeze-thaw and saline solution" [Constr. Build. Mater. 304 (2021) 124617] (Construction and Building Materials (2021) 304, (S0950061821023722), (10.1016/***.2021.124617))

引用

Construction and Building Materials 2025年 474卷

作者： Chen, Dingshi Deng, Yuang Shen, Jiyang Sun, Guorui Shi, Jun School of Civil Engineering Central South University Changsha410075 China National Engineering Laboratory for High Speed Railway Construction Changsha China Bridge Design Institute CCCC First Highway Consultants Co. Ltd. Shaanxi Xi'an710075 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Laboratory of Bridge Detection and Reinforcement Technology of Ministry of Transport Chang'an University Shaanxi Xi'an710064 China

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://***/locate/withdrawalpolicy). This article has been retracted at the request of authors with approval of the Editor-in-Chief. Following correspondence with the corresponding author requesting to retract this paper over an authorship dispute, it was determined that significant content in this paper is based on a 2019 Chang'an University Master's thesis "Study on Damage Rules of Concrete under Corrosion of Freeze-Thaw and Saline Solution" [https://***/KCMS/detail/***?dbname=CMFD202001&filename= ***] submitted by Su Youbiao and supervised by Dr. Hu Dalin. The specimens reported as "schemes 0 through 9" in this paper are taken directly from the Chang'an University Master's thesis. Results for schemes 0 through 9 are fully reported in the Chang'an University Master's thesis (Chapter 3). No indication or acknowledgement of the source of this data is provided. Neither Su Youbiao nor Hu Dalin is credited as a coauthor. The authors agree with the need to retract this paper in order to uphold and maintain the highest standards of academic integrity. © 2025 Elsevier Ltd

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Probabilistic Seismic Safety Assessment of Chinese RC Frame structures Using Fragility Curves 2

Probabilistic Seismic Safety Assessment of Chinese RC Frame ...

引用

2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

作者： Yu, Xiaohui Lu, Dagang Key Lab of Structures Dynamic Behavior and Control Harbin Institute of Technology Ministry of Education P.O. Box 2546 Harbin150090 China School of Civil Engineering Harbin Institute of Technology P.O. Box 2546 Harbin150090 China

ISBN: (纸本)9780784413609

A simulation-based procedure was adopted to generate fragility curves for five Chinese code-conforming reinforced concrete (RC) frame structures with increasing design-based earthquake (DBE) intensities. Two important elements, namely probabilistic seismic demand analysis (PSDA) and probabilistic seismic capacity analysis (PSCA), were involved in the procedure. In PSDA, 100 real ground motion records were selected to perform nonlinear time history analyses for representing the influence of earthquake uncertainties on structural demands. In PSCA, a group of ten structural parameters were considered as random, and then the conventional (deterministic) pushover analysis was extended by introducing 100 building samples according to the principle of the Latin hypercube sampling technique. From the derived pushover curves, the thresholds corresponding to the limit states -namely, "slight damage", "moderate damage", "extensive damage" and "complete damage" -were obtained for statistics. Finally, fragility curves were generated through combining the results of PSDA and PSCA, and the exceeding probabilities of the example frames conditioned on the three mostly concerned earthquake levels, i.e. frequent earthquake (FE), DBE and maximum considered earthquake (MCE), were consequently calculated. The results show that the increase of fortification earthquake intensity cannot correspondingly promote the probabilistic safety level. © 2014 American Society of Civil Engineers.

关键词： Uncertainty analysis

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Structural behavior of UHPC transition segment of wind tower without ordinary reinforcement under serviceability limit state 8th

Structural behavior of UHPC transition segment of wind tower...

引用

8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023

作者： Lin, L.R. Zhang, X. Wu, X.G. Wang, X. Zhang, X.S. Wang, H. College of Civil Engineering Fuzhou University Fuzhou China CGN New Energy Holdings Co Ltd China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of the Industry and Information Technology Harbin Institute of Technology Harbin China

ISBN: (纸本)9781003323020

The complexity of reinforcement and consequent corrosion of concrete have been technical issues of the transition segments of the hybrid wind turbine tower. A novel concrete transition segment using prestressed ultra-high performance concrete (UHPC) that does not necessitate ordinary reinforcement is applied to a 4.8MW H160 prestressed hybrid wind turbine tower. The mechanical behaviors of the transition segments only with reinforced concrete segment (T-C80RC) and the UHC140 segment without ordinary reinforcement (T-UHC140) are investigated using 3D finite element models. The comparative study shows that UHPC in T-UHC140 improves the overall mechanical performance. © 2023 The Author(s).

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Experimental research on the seismic performance of reinforced reactive powder concrete frame joints

引用

Zhendong yu Chongji/Journal of Vibration and Shock 2018年第6期37卷 149-156页

作者： Wang, Dehong Ju, Yanzhong Zheng, Wenzhong Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China School of Civil Engineering and Architecture Northeast Electric Power University Jilin132012 China

To study the seismic behavior of frame joints made of reactive powder concrete with ultrahigh strength, toughness and durability, 4 reinforced reactive powder concrete beam-column joints were tested under cyclic loads simulated seismic load conditions. The failure patterns, seismic bearing capacity, hysteretic characteristics, ductility, energy dissipating, strength and rigidity degeneration of the reactive powder concrete frame joints were analyzed. The test results show that, the shear-cracking strength of the reactive powder concrete specimens is higher, and the development of surface crack exhibits the characteristics of multiple fine cracking and a little concrete spalling, and the specimens remain as an integral whole as the loading *** strength and rigidity degeneration rates are small. The deformation capacity and energy dissipation are well. When the failure is occurring, the shear deformation is the double of that under the peak load, and the averaging equivalent viscous damping coefficient of specimens is 0.137, which is higher than the equivalent viscous damping coefficient of normal and high-strength concrete joints. The use of reactive powder concrete can improve the seismic performances of frame joints, including the shear ductility, energy dissipation capacity and so on, and reduce the stirrup ratio in joint core, which is conducive to the construction. © 2018, Editorial Office of Journal of Vibration and Shock. All right reserved.

关键词： High performance concrete

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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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