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Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder Article

Zong-feng QI, Qiao-qiao LIU, Jun WANG, Jian-xun LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1991-2000 doi: 10.1631/FITEE.1601395

Abstract: Kullback-Leibler divergence sparse autoencoder (KL-SAE) is proposed in this paper, which can be applied to battledamage assessment (BDA).Experiments on University of California-Irvine (UCI) data sets and BDA for battle damage data demonstrate

Keywords： Battle damage assessment     Improved Kullback-Leibler divergence sparse autoencoder     Structural optimization    

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Creep life assessment of aero-engine recuperator based on continuum damage mechanics approach

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0702-6

Abstract: The creep life of an aeroengine recuperator is investigated in terms of continuum damage mechanics by

Keywords： creep     life assessment     brazed joint     continuum damage mechanics     aeroengine recuperator    

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Corrosion damage assessment and monitoring of large steel space structures

Bo CHEN, You-Lin XU, Weilian QU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 354-369 doi: 10.1007/s11709-010-0088-0

Abstract: This paper proposes a framework for assessing the corrosion damage of large steel space structures subjectedreal large steel space structure built in the southern coastal area in China to assess its corrosion damage

Keywords： large steel space structure     atmospheric corrosion     stress corrosion cracking     corrosion damage     damage assessment    

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Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Frontiers of Structural and Civil Engineering   Pages 1281-1294 doi: 10.1007/s11709-023-0975-9

Abstract: Subsequently, various indices for the damage diagnosis of concrete structures based on the curvatureA damage assessment method for concrete structures is established using an artificial bee colony backpropagationThe proposed damage assessment method for dam concrete structures comprises various modal parameters,The results show that the damage assessment model can accurately evaluate the damage degree of concreteidentification and assessment for most concrete structures.

Keywords： hydraulic structure     curvature mode     damage detection     artifical neural network     artificial bee colony    

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Damage quantitative assessment of spacecraft in a large-size inspection Research Article

Kuo ZHANG, Jianliang HUO, Shengzhe WANG, Xiao ZHANG, Yiting FENG,huoliaang@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 542-554 doi: 10.1631/FITEE.2000733

Abstract: missions, it is necessary to conduct in-situ nondestructive detection of the spacecraft to judge the damageIn this paper, we propose an innovative method based on damage reconstructed image mosaic technologyFirst, a Gaussian mixture model clustering algorithm is applied to extract images that highlight damageEventually, to create the mosaicked images, the damage characteristic regions are segmented and extractedThe location of the damage area is determined and the degree of damage is judged by calculating the centroid

Keywords： Hypervelocity impact     Damage information extraction     Image mosaicking     Damage localization     Quantitativeassessment    

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Damage assessment of laminated composite beam structures using damage locating vector (DLV) method

T. VO-DUY,N. NGUYEN-MINH,H. DANG-TRUNG,A. TRAN-VIET,T. NGUYEN-THOI

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4,   Pages 457-465 doi: 10.1007/s11709-015-0303-0

Abstract: In this paper, the damage locating vector (DLV) method using normalized cumulative energy ( ) is employedto locate multiple damage sites in laminated composite beam structures.Numerical simulations of two laminated composite beams are employed to investigate several damage scenarios

Keywords： normalized cumulative energy     structural health monitoring (SHM)     damage locating vector method (DLV)     laminated    

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Experimental study of structural damage identification based on modal parameters and decay ratio of acceleration

Zhigen WU, Guohua LIU, Zihua ZHANG

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 112-120 doi: 10.1007/s11709-010-0069-3

Abstract: A novel damage assessment method based on the decay ratio of acceleration signals (DRAS) was proposedIn addition, a new method was compared with the linear modal-based damage assessment using wavelet transformWith better sensibility of damage than modal parameters, probably DRAS is a promising damage indicatorin damage assessment.

Keywords： damage assessment     decay ratio of acceleration signals (DRAS)     wavelet transform (WT)     modal analysis     reinforced    

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A combination of damage locating vector method (DLV) and differential evolution algorithm (DE) for structuraldamage assessment

T. NGUYEN-THOI, A. TRAN-VIET, N. NGUYEN-MINH, T. VO-DUY, V. HO-HUU

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 92-108 doi: 10.1007/s11709-016-0379-1

Abstract: In this study, a two-stage method is presented for identifying multiple damage scenarios.In the first stage, the damage locating vector (DLV) method using normalized cumulative energy ( ) isemployed for damage localization in structures.The numerical results show that the proposed combination gives good assessment of damage location andextent for multiple structural damage cases.

Keywords： damage assessment     damage locating vector method (DLV)     differential evolution (DE)     multiple damage location    

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New insights in the battle between wheat and

Chunlei TANG,Xiaojie WANG,Yulin CHENG,Minjie LIU,Mengxin ZHAO,Jinping WEI,Zhensheng KANG

Frontiers of Agricultural Science and Engineering 2015, Volume 2, Issue 2,   Pages 101-114 doi: 10.15302/J-FASE-2015068

Abstract: Wheat stripe rust caused by f. sp. ( ) poses a great threat to wheat production worldwide. The rapid change in virulence of leads to a loss of resistance in currently resistant wheat cultivars, which results in frequent disease epidemics. Therefore, a major focus is currently placed on investigating the molecular mechanisms underlying this rapid variation of pathogenicity and coevolving wheat resistance. Limited by the lack of a system for stable transformation of and the difficulties in wheat transformation, it is not easy to generate deeper insights into the wheat- interaction using established genetic methods. Nevertheless, considerable effort has been made to unravel the wheat- interaction and significant progress is being made. Histology and cytology have revealed basic details of infection strategies and defense responses during wheat- interactions, identified cellular components involved in wheat- interactions, and have helped to elucidate their role in the infection process or in plant defense responses. Transcriptome and genome sequencing has revealed the molecular features and dynamics of the wheat- pathosystem. Extensive molecular analyses have led to the identification of major components in the wheat resistance response and in virulence. Studies of wheat- interactions have now entered a new phase in which cellular and molecular approaches are being used. This review focuses on the cellular biology of wheat- interactions and integrates the emerging data from molecular analyses with the histocytological observations.

Keywords： wheat     strip rust     Puccinia striiformis f. sp. tritici     host defense     pathogen virulence     biotrophic fungus    

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building isolation systems under multi-level earthquake excitations: Part II, energy-dissipation and damage

Min-Ho CHEY,J. Geoffrey CHASE,John B. MANDER,Athol J. CARR

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 3,   Pages 297-306 doi: 10.1007/s11709-015-0308-8

Abstract: following study verifies the control effects of the systems from the view point of energy dissipation and damagecomparisons are conducted on statistically calculated story/structural hysteretic energy and story/structural damagepromise for applications of resettable device, offering advantages over passive systems in the consistent damage

Keywords： smart building isolation     story and structural     energy-dissipation     damage assessment    

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The Assessment of Fatigue Life of Ship Structures

Li Jingyu,Tian Changlu

Strategic Study of CAE 2006, Volume 8, Issue 2,   Pages 51-54

Abstract: The general principles of the fatigue life assessment of ship structures are reviewed.

Keywords： ship structure     fatigue life     cumulative damage    

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Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: In recent years, great attention has focused on the development of automated procedures for infrastructures control. Many efforts have aimed at greater speed and reliability compared to traditional methods of assessing structural conditions. The paper proposes a multi-level strategy, designed and implemented on the basis of periodic structural monitoring oriented to a cost- and time-efficient tunnel control plan. Such strategy leverages the high capacity of convolutional neural networks to identify and classify potential critical situations. In a supervised learning framework, Ground Penetrating Radar (GPR) profiles and the revealed structural phenomena have been used as input and output to train and test such networks. Image-based analysis and integrative investigations involving video-endoscopy, core drilling, jacking and pull-out testing have been exploited to define the structural conditions linked to GPR profiles and to create the database. The degree of detail and accuracy achieved in identifying a structural condition is high. As a result, this strategy appears of value to infrastructure managers who need to reduce the amount and invasiveness of testing, and thus also to reduce the time and costs associated with inspections made by highly specialized technicians.

Keywords： concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

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The Next Energy Battle: Cheap Natural Gas versus Renewables

Mitch Leslie

Engineering 2021, Volume 7, Issue 2,   Pages 133-135 doi: 10.1016/j.eng.2020.12.008

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Variational Bayesian multi-sparse component extraction for damage reconstruction of space debris hypervelocity Research Article

Xuegang HUANG, Anhua SHI, Qing LUO, Jinyang LUO,emei-126@126.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4,   Pages 530-541 doi: 10.1631/FITEE.2000575

Abstract: First, a multi-area damage mining model, which can describe damages in different spatial layers, is builtSubsequently, to identify different impact damage types from infrared image data effectively, the inference, an image-processing framework is proposed to eliminate errors and compare locations of different damageExperimental results show that it can effectively identify and evaluate the complex damage caused by

Keywords： Hypervelocity impact     Variational Bayesian     Sparse representation     Damage assessment    

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On the Technical Features and Development Trend of Main Battle Tank

Wang Zherong

Strategic Study of CAE 2002, Volume 4, Issue 11,   Pages 7-11

Abstract:

As a complex weapon system integrated with optical/mechanical/hydraulic technology, main battle tank

Keywords： MBT     technical features     development trend    

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Title Author Date Type Operation

Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder

Zong-feng QI, Qiao-qiao LIU, Jun WANG, Jian-xun LI

Journal Article

Creep life assessment of aero-engine recuperator based on continuum damage mechanics approach

Journal Article

Corrosion damage assessment and monitoring of large steel space structures

Bo CHEN, You-Lin XU, Weilian QU,

Journal Article

Damage assessment and diagnosis of hydraulic concrete structures using optimization-based machine learning

Journal Article

Damage quantitative assessment of spacecraft in a large-size inspection

Kuo ZHANG, Jianliang HUO, Shengzhe WANG, Xiao ZHANG, Yiting FENG,huoliaang@163.com

Journal Article

Damage assessment of laminated composite beam structures using damage locating vector (DLV) method

T. VO-DUY,N. NGUYEN-MINH,H. DANG-TRUNG,A. TRAN-VIET,T. NGUYEN-THOI

Journal Article

Experimental study of structural damage identification based on modal parameters and decay ratio of acceleration

Zhigen WU, Guohua LIU, Zihua ZHANG

Journal Article

A combination of damage locating vector method (DLV) and differential evolution algorithm (DE) for structuraldamage assessment

T. NGUYEN-THOI, A. TRAN-VIET, N. NGUYEN-MINH, T. VO-DUY, V. HO-HUU

Journal Article

New insights in the battle between wheat and

Chunlei TANG,Xiaojie WANG,Yulin CHENG,Minjie LIU,Mengxin ZHAO,Jinping WEI,Zhensheng KANG

Journal Article

building isolation systems under multi-level earthquake excitations: Part II, energy-dissipation and damage

Min-Ho CHEY,J. Geoffrey CHASE,John B. MANDER,Athol J. CARR

Journal Article

The Assessment of Fatigue Life of Ship Structures

Li Jingyu,Tian Changlu

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

The Next Energy Battle: Cheap Natural Gas versus Renewables

Mitch Leslie

Journal Article

Variational Bayesian multi-sparse component extraction for damage reconstruction of space debris hypervelocity

Xuegang HUANG, Anhua SHI, Qing LUO, Jinyang LUO,emei-126@126.com

Journal Article

On the Technical Features and Development Trend of Main Battle Tank

Wang Zherong

Journal Article