LSTM-BASED DAMAGE PREDICTION AND ASSESSMENT OF SPATIAL FRAME STRUCTURE

YANG Yuan; CUI Qiandao; LIAN Jijian; LIU Hongbo; ZHOU Guangen; CHEN Zhihua

doi:10.13204/j.gyjzG20092308

Volume 51 Issue 7

Nov. 2021

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > INDUSTRIAL CONSTRUCTION > 2021 > 51(7): 203-208

Qiu Jisheng, Yao Qianfeng. STUDY ON CALCULATION METHOD OF THE ULTIMATE TORQUE OF BEAM REINFORCED WITH STEEL FIBER IN TORSION[J]. INDUSTRIAL CONSTRUCTION, 2010, 40(1): 78-81,97. doi: 10.13204/j.gyjz201001020

Citation:

YANG Yuan, CUI Qiandao, LIAN Jijian, LIU Hongbo, ZHOU Guangen, CHEN Zhihua. LSTM-BASED DAMAGE PREDICTION AND ASSESSMENT OF SPATIAL FRAME STRUCTURE[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(7): 203-208. doi: 10.13204/j.gyjzG20092308

Citation:

PDF( 6586 KB)

LSTM-BASED DAMAGE PREDICTION AND ASSESSMENT OF SPATIAL FRAME STRUCTURE

doi: 10.13204/j.gyjzG20092308

1. School of Civil Engineering, Tianjin University, Tianjin 300072, China;
2. Zhejiang Southeast Space Frame Co., Ltd., Hangzhou 311209, China;
3. Tianjin International Engineer Institute, Tianjin University, Tianjin 300072, China;
4. College of Water Conservancy and Hydropower, Hebei University of Engineering, Handan 056021, China

Received Date: 2020-09-23
Available Online: 2021-11-11

Abstract

Abstract

The Kiewitt (K6) spherical reticulated shell was used as the research object to study the data-driven damage prediction and assessment of the space frame structure. By numerical simulations, Structural Health Monitoring (SHM) simulation data of structural modal frequency subjected to uniform atmospheric corrosion were obtained. A Long-Short-Term Memory (LSTM) based the deep learning model for structural damage prediction and assessment was constructed. Finally, the LSTM-based damage prediction and assessment method for the space frame structure was summarized. The results showed that LSTM could be used to establish a data-driven deep learning model for SHM data, predict and assess the structural health status. The model performed well on the simulation data with good anti-noise properties which could nicely fit SHM simulation data with a good short-term prediction effect. The updated data sets could readjust the model, so as to achieve the continuous prediction and assessment for structural health status.
- spatial frame structure,
- LSTM,
- damage prediction and assessment,
- deep learning

FullText(HTML)

References(12)

References

[1]	汪菁. 深圳市民中心屋顶网架结构健康监测系统及其关键技术研究[D]. 武汉:武汉理工大学, 2008.
[2]	秦杰, 徐瑞龙, 徐亚柯, 等. 国家体育馆安全监测系统研究[J]. 施工技术, 2009, 38(3):40-43.
[3]	李宏男, 杨礼东, 任亮, 等. 大连市体育馆结构健康监测系统的设计与研发[J]. 建筑结构学报, 2013, 34(11):40-49.
[4]	罗尧治, 苑佳谦. 大跨度空间结构安全预警评估技术研究[J]. 空间结构, 2011, 17(3):61-68.
[5]	GOODFELLOW I, BENGIO Y, COURVILLE A. Deep Learning[M]. Canbridge:MIT Press, 2016:373.
[6]	GOODFELLOW I, BENGIO Y, COURVILLE A. 深度学习[M]. 赵申剑, 黎彧君, 李凯, 等, 译.北京:人民邮电出版社, 2017:319.
[7]	PASCANU R, MIKOLOV T, BENGIO Y. On the Difficulty of Training Recurrent Neural Networks[C]//International Conference on Machine Learning. 2013:1310-1318.
[8]	BENGIO Y, SIMARD P, FRASCONI P. Learning Long-Term Dependencies with Gradient Descent is Difficult[J]. IEEE Transactions on Neural Networks, 1994, 5(2):157-166.
[9]	HOCHREITER S, BENGIO Y, FRASCONI P, SCHMIDHUBER J. Gradient flow in recurrent nets:the difficulty of learning long-term dependencie[G]//KOLEN J F, KREMER S C.A Field Guide to Dynamical Recurrent Neural Networks. Piscataway:Wiley-IEEE Press, 2001:237-243.
[10]	HOCHREITER S, SCHMIDHUBER J. Long Short-Term Memory[J]. Neural Computation, 1997, 9(8):1735-1780.
[11]	梁彩凤, 侯文泰. 碳钢、低合金钢16年大气暴露腐蚀研究[J]. 中国腐蚀与防护学报, 2005(1):2-7.
[12]	中华人民共和国住房和城乡建设部. 空间网格结构技术规程:JGJ 7-2010[S]. 北京:中国建筑工业出版社, 2010.

Relative Articles

[1]	DU Taoming, SONG Songke, LIU Wei, QUAN Xinrui, KONG Debiao. Elastoplastic Analytical Solutions for Borehole Contraction of Bored Piles by Boring Unloading Based on Unified Strength Theory[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(7): 188-195. doi: 10.3724/j.gyjzG23092004
[2]	XIONG Ye, DING Yang, CHA Lyuying, CHEN Zizi, LIU Yangwu. Dynamic Characteristics of Axial Flow Compressor Foundations Considering Interaction of Foundation, Pile Foundations and Superstructures[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(6): 150-155,149. doi: 10.13204/j.gyjzG21052007
[3]	YANG Tao, SHENG Zhicheng, WANG Hengdong. ONE DIMENSIONAL ANALYTICAL SOLUTION FOR CONSOLIDATION OF A COMPOSITE GROUND WITH T-SHAPED DEEP CEMENT MIXING COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(3): 102-108. doi: 10.13204/j.gyjz202003017
[4]	Yang Tao, Wan Yihao, He Desheng. STATE THE ART OF CONSOLIDATION THEORY FOR COMPOSITE GROUND[J]. INDUSTRIAL CONSTRUCTION, 2015, 45(1): 152-155. doi: 10.13204/j.gyjz201501031
[5]	He Chunbao, Huang Juqing. ANALYSIS OF INTERACTION AMONG ADJACENT RECTANGULAR FOUNDATIONS AND GROUND[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(10): 71-77. doi: 10.13204/j.gyjz201310016
[6]	Wu Ruiqian, Xie Kanghe, Shen Jianming. ANALYTICAL SOLUTIONS OF ONE-DIMENSIONAL THERMAL CONSOLIDATION OF SATURATED SOIL UNDER PERIODIC FLUCTUATION OF SURFACE TEMPERATURE[J]. INDUSTRIAL CONSTRUCTION, 2010, 40(8): 86-90. doi: 10.13204/j.gyjz201008020
[7]	LüWenzhi, Li Chunzhi, Yu Jianlin, Liu Chao. STUDY ON THE SETTLEMENT LAW OF THE COMPOSITE GROUND UNDER A FLEXIBLE FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2010, 40(9): 58-65,57. doi: 10.13204/j.gyjz201009016
[8]	Li Chuanxun, Xie Kanghe, Lu Mengmeng, Yu Kun. THE CRITICAL EDGE LOAD OF COMPOSITE GROUND REINFORCED BY STONE COLUMNS UNDER RIGID FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2009, 39(10): 62-66. doi: 10.13204/j.gyjz200910016
[9]	Lu Mengmeng, Xie Kanghe, Li Ying, Zhang Zhiqing. ANALYTICAL SOLUTION FOR THE CONSOLIDATION OF A COMPOSITE FOUNDATION CONSIDERING THE CONSTRUCTION DISTURBANCE UNDER PROGRESSIVE LOADING[J]. INDUSTRIAL CONSTRUCTION, 2009, 39(7): 56-60,73. doi: 10.13204/j.gyjz200907017
[10]	Zhao Honghua, Han Xuanjiang. DEFORMATION STUDY ON COMPOSITE FOUNDATION WITH CEMENT MIXING PILES[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(6): 63-65. doi: 10.13204/j.gyjz200706016
[11]	Cui Chunyi, Luan Maotian, Yang Qing. NUMERICAL ANALYSIS OF ENTIRE INTERACTIVE SYSTEM OF RAFT FOUNDATION CONSIDERING STRUCTURAL STIFFNESS EFFECT[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(1): 57-61,68. doi: 10.13204/j.gyjz200701015
[12]	Zhang Yanmei, Zhang Xudong, Zhang Hongru. CALCULATION METHOD OF GENERATION AND DISSIPATION OF EXCESS PORE WATER PRESSURE IN STONE COLUMNS FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(3): 56-59,94. doi: 10.13204/j.gyjz200703015
[13]	Xu Biao, Wang Qi-zhi. DEFORMATION PROPERTY OF PILE GROUP COMPOSITE FOUNDATION IN LAYERED SOIL SUBJECTED TO A HORIZONTAL LOAD[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(12): 88-92. doi: 10.13204/j.gyjz200712021
[14]	Guo Yuancheng, Li Mingyu, Wang Junli, Zhou Tonghe. FIELD EXPERIMENT ON DYNAMICS CHARACTERS OF LONG-SHORT-PILE COMPOSITE FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2007, 37(5): 53-56. doi: 10.13204/j.gyjz200705014
[15]	Liu An-jun, Gong Xiao-nan, Qian Guo-zhen. A NONLINEAR ANALYSIS OF COMBINED ACTIONS OF SOIL ANCHORS AND EARTH-RETAINING PILE WALL IN CONSIDERATION OF CONSTRUCTION STEPS[J]. INDUSTRIAL CONSTRUCTION, 2006, 36(5): 74-78. doi: 10.13204/j.gyjz200605020
[16]	Yang Hua, Yang Min, Zhou Hongbo. AN ANALYTICAL SOLUTION FOR SINGLE PILE IN NON-HOMOGENEOUS SOIL CONSIDERING SOIL HARDENING BEHAVIOR OF PILE TIP[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(3): 46-48,55. doi: 10.13204/j.gyjz200503017
[17]	Chen Yunmin, Chen Renpeng, Huang Haidan. DEFINITION OF RELATIVE RIGIDITY AND PROPER RAFT THICKNESS OF PILE-RAFT FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(5): 1-4,23. doi: 10.13204/j.gyjz200505001
[18]	Liu Zhigang, Wang Qizhi, Peng Shengen. DEFORMATION BEHAVIOR OF COMPOSITE FOUNDATION UNDER HORIZONTAL LOADING[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(2): 60-63. doi: 10.13204/j.gyjz200502017
[19]	Wang Yingge. FIELD TEST AND NUMERICAL ANALYSIS OF INTERACTION OF PILE- RAFT FOUNDATION ULTRA - HIGH TUBE-IN-TUBE STRUCTURE[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(5): 10-15. doi: 10.13204/j.gyjz200505003
[20]	Xu Qiang, Wu Shengxing. NON-LINEAR FEM ANALYSIS OF INTERACTION AMONG PILE-SUPPORT, PILES AND SOIL OF A CABLE-STAYED BRIDGE[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(5): 16-19. doi: 10.13204/j.gyjz200505004

Supplements(0)

Cited By

Cited by

Periodical cited type(4)

1.	赵凯选，李慧. 高层建筑施工剪力墙结构连梁节点受力数值模拟. 粉煤灰综合利用. 2024(02): 111-116 .
2.	沈靖，张洋，王擎忠，张林波，陈军辉. 智能化主动托换系统在连续多层剪力墙置换中的应用. 建筑结构. 2023(S1): 321-325 .
3.	徐建凯，王俊杰，陈思雨. 置换混凝土法在某加固工程中的应用及监测研究. 江苏建筑. 2022(02): 72-76 .
4.	刘力平，张耀，李伟朋，高紫晨. 高层剪力墙结构内置型钢加固方法研究及有限元分析. 建筑结构. 2021(S2): 1321-1328 .

Other cited types(8)

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article Metrics

Article views (190) PDF downloads(4)