Resource Type

Journal Article 624

Conference Videos 33

Conference Information 2

Conference Topics 1

Year

2024 1

2023 50

2022 72

2021 62

2020 64

2019 52

2018 30

2017 32

2016 17

2015 30

2014 17

2013 31

2012 18

2011 23

2010 28

2009 21

2008 14

2007 18

2006 12

2005 5

open ︾

Keywords

damage 8

Machine learning 6

DNA damage 5

damage identification 5

finite element analysis 4

finite element method 4

materials 4

microstructure 4

structural health monitoring 4

2D materials 3

3D printing 3

4D printing 3

Bayesian belief network 3

adsorption 3

mechanism 3

2035 2

Additive manufacturing 2

FEM 2

Hypervelocity impact 2

open ︾

Search scope:

排序： Display mode:

A Study on Methodology for Predicting the Damage to Structural Materials and Remaining Life of Process

Dai Shuhe

Strategic Study of CAE 1999, Volume 1, Issue 3,   Pages 63-68

Abstract:

The universe of methodology for predicting the damage to structural materials and remaining life ofThe technique for predicting the damage to structural materials and remaining life of process equipment

In this study, a series of new techniques for predicting the damage to structural materials

Keywords： damage to structural materials     life prediction     process equipment    

HTML PDF Collect

Windborne debris damage prediction analysis

Fangfang SONG, Jinping OU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 326-330 doi: 10.1007/s11709-010-0067-5

Abstract: Windborne debris is one of the most important causes of the envelop destruction according to the post-damageThe problem of windborne debris damage could be summarized as three parts, including windborne debrisBesides, the process of windborne debris damage analysis is described in detail.

Keywords： typhoon     windborne debris     structural envelopes     damage estimation    

HTML PDF Collect

The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3,   Pages 305-310 doi: 10.1007/s11465-013-0259-5

Abstract:

A huge amount of information and identification accuracy in large civil engineering structural damageThe sub-neural network can give the preliminary diagnosis from different aspects of damage.The decision fusion network will give the final damage identification results.neural network model, making full use of the range of information to effectively improve the accuracy of structuraldamage identification.

Keywords： rough set     integrated neural network     damage identification     decision making fusion    

HTML PDF Collect

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 907-929 doi: 10.1007/s11709-020-0628-1

Abstract: In this study, the performance of an efficient two-stage methodology which is applied in a damage detectionIn the first stage, in order to locate the damage accurately, the performance of the modal strain energyIn the second stage, to estimate the damage extent, the sensitivity of most used modal properties dueto damage, such as natural frequency and flexibility matrix is compared with the mean normalized modalFurthermore, the effect of noise in the measurement of structural responses by the sensors has also been

Keywords： two-stage method     modal strain energy     surrogate model     GMDH     optimization damage detection    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

Corrosion mechanisms of candidate structural materials for supercritical water-cooled reactor

Lefu ZHANG, Fawen ZHU, Rui TANG

Frontiers in Energy 2009, Volume 3, Issue 2,   Pages 233-240 doi: 10.1007/s11708-009-0024-y

Abstract: heat-resistant steels, and oxide dispersion strengthened steel are presently considered to be the candidate structuralor fuel-cladding materials for supercritical water-cooled reactor (SCWR), one of the promising generationcandidate alloys still remain to be a major problem in the selection of nuclear fuel cladding and other structuralmaterials, such as water rod.This paper focuses on the mechanism of corrosion oxide film breakdown for SCWR candidate materials.

Keywords： supercritical water-cooled reactor     general corrosion     oxide film     corrosion mechanism    

HTML PDF Collect

Research on applications of piezoelectric materials in smart structures

Jinhao QIU, Hongli JI

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 99-117 doi: 10.1007/s11465-011-0212-4

Abstract:

Piezoelectric materials have become the most attractive functional materials for sensors and actuatorsIn this article, some research activities on the applications of piezoelectric materials in smart structuressynchronized switch damping using negative capacitance, energy harvesting using new electronic interfaces, structuralbased on new modified Prandtl-Ishlinskii model at the Aeronautical Science Key Laboratory for Smart Materials

Keywords： piezoelectric materials     vibration control     energy harvesting     structural health monitoring     piezoelectric    

HTML PDF Collect

Cracking evolution behaviors of lightweight materials based on

Y. Luo, S. C. Wu, Y. N. Hu, Y. N. Fu

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 4,   Pages 461-481 doi: 10.1007/s11465-018-0481-2

Abstract:

Damage accumulation and failure behaviors are crucial concerns during the design and service of aThird-generation synchrotron radiation X-ray computed microtomography can be used to detect the inner damageThis paper provides a brief review of studying the crack initiation and propagation inside lightweight materialswith advanced synchrotron three-dimensional (3D) X-ray imaging, such as aluminum materials.Various damage modes under both static and dynamic loading are elucidated for pure aluminum, aluminum

Keywords： fatigue crack initiation and growth     fatigue damage mechanism     damage tolerance     defect characterization    

HTML PDF Collect

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: been recently performed by applying statistical and machine learning techniques for vibration-based damagenumber of modal properties issued from operational modal analysis may be not appropriate for early-damageThe present paper aims at detecting this type of damage by using static SHM data and by assuming thatearly-damage produces dead load redistribution.

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

HTML PDF Collect

Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 42-47 doi: 10.1007/s11709-014-0285-3

Abstract: made to increase the power efficiency of the wind turbines while less attention has been focused on structuralintegrity assessment of the structural systems.Vibration-based damage detection has widely been researched to identify damages on a structure basedThis study proposes novelty of damage factor based on sensor fusion to exclude effect of temperatureThe combined use of an accelerometer and an inclinometer was considered and damage factor was defined

Keywords： sensor fusion     damage detection     structural health monitoring    

HTML PDF Collect

A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1476-1491 doi: 10.1007/s11709-020-0670-z

Abstract: The unprecedented liquefaction-related land damage during earthquakes has highlighted the need to developa model that better interprets the liquefaction land damage vulnerability (LLDV) when determining whetherliquefaction is likely to cause damage at the ground’s surface.Bayesian belief network (BBN) methodology to assess seismic soil liquefaction and liquefaction land damagesubstitutive novel LLDV framework for characterizing the vulnerability of land to liquefaction-induced damage

Keywords： Bayesian belief network     liquefaction-induced damage potential     cone penetration test     soil liquefaction     structural learning and domain knowledge    

HTML PDF Collect

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    

HTML PDF Collect

Research Progress and Prospect of High-Entropy Alloy Materials

Li Tianxin, Wang Shudao, Lu Yiping, Cao Zhiqiang, Wang Tongmin, Li Tingju

Strategic Study of CAE 2023, Volume 25, Issue 3,   Pages 170-181 doi: 10.15302/J-SSCAE-2023.03.016

Abstract: technological level and the urgent demand of national economic construction for high-performance alloy materialsIn this paper, based on the specific demands of advanced high-entropy alloy materials in variousfields, the characteristics and connotations of high-entropy alloy materials are summarized, and the First, some basic raw materials of the high-entropy alloys still rely on imports, which severelyimproving the standardization, testing, characterization, and evaluation systems of high-entropy alloy materials

Keywords： high-entropy alloy     new materials     non-ferrous materials     key strategic materials     structural materials     functional materials    

HTML PDF Collect

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 damagePerformance comparisons are conducted on statistically calculated story/structural hysteretic energyand story/structural damage demands over realistic suites of earthquake ground motion records, representingpromise 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    

HTML PDF Collect

Title Author Date Type Operation

A Study on Methodology for Predicting the Damage to Structural Materials and Remaining Life of Process

Dai Shuhe

Journal Article

Windborne debris damage prediction analysis

Fangfang SONG, Jinping OU,

Journal Article

The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Journal Article

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group

Hamed FATHNEJAT, Behrouz AHMADI-NEDUSHAN

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

Corrosion mechanisms of candidate structural materials for supercritical water-cooled reactor

Lefu ZHANG, Fawen ZHU, Rui TANG

Journal Article

Research on applications of piezoelectric materials in smart structures

Jinhao QIU, Hongli JI

Journal Article

Cracking evolution behaviors of lightweight materials based on

Y. Luo, S. C. Wu, Y. N. Hu, Y. N. Fu

Journal Article

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Development of temperature-robust damage factor based on sensor fusion for a wind turbine structure

Jong-Woong PARK,Sung-Han SIM,Jin-Hak YI,Hyung-Jo JUNG

Journal Article

A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability

Mahmood AHMAD, Xiao-Wei TANG, Jiang-Nan QIU, Feezan AHMAD, Wen-Jing GU

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

Research Progress and Prospect of High-Entropy Alloy Materials

Li Tianxin, Wang Shudao, Lu Yiping, Cao Zhiqiang, Wang Tongmin, Li Tingju

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