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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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Gastrointestinal damage caused by swallowing multiple magnets

Shiqi Liu, Jianhui Li, Yi Lv

Frontiers of Medicine 2012, Volume 6, Issue 3,   Pages 280-287 doi: 10.1007/s11684-012-0207-5

Abstract:

Swallowing multiple magnets is not uncommon worldwide and it frequently leads to serious consequencesDamage from swallowing multiple magnets carries a significant risk of morbidity and even mortality throughout

Keywords： magnet     ingestion     fistula     perforation    

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Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 318-332 doi: 10.1007/s11709-021-0715-y

Abstract: The aim of this study is to propose a new detection method for determining the damage locations in pileFirst, the damage location is simulated using a back propagation neural network deep learning model withIn particular, the damage location is identified using two parameters: the pile location ( ) and theIn addition, correlations between the damage location and acoustic emission parameters are investigatedFinally, a new damage detection and evaluation method for pile foundations is proposed.

Keywords： pile foundations     damage location     acoustic emission     deep learning     damage step    

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Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

Alireza ARABHA NAJAFABADI, Farhad DANESHJOO, Hamid Reza AHMADI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 722-730 doi: 10.1007/s11709-020-0624-5

Abstract: Strain Energy of the structure can be changed with the damage at the damage location.The accurate detection of the damage location using this index in a force system is dependent on theDamage was simulated by decreasing stiffness at different sections of the deck.The results show that the proposed methods have well identified the location of the damage by significantlyAlso, the location of symmetric damages is detected with high resolution using SERIL.

Keywords： damage detection     strain energy     influence line     complex bridges     rotation displacement    

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The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: In order to significantly reduce the computation cost for fault location, the paper presents a new faultdiagnosis method based on multiple preset models that can be realized online.Results show that the method has high accuracy and efficiency for fault location of nonlinear dynamic

Keywords： block-pulse function     nonlinear     multiple     diagnosis     combination    

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Prediction model for residual strength of stiffened panels with multiple site damage based on artificial

Yang Maosheng,Chen Yueliang,Yu Dazhao

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 46-50

Abstract:

A prediction model for residual strength of stiffened panels with multiplesite damage based on artificial neural network (ANN) is developed, and the results obtained from the

Keywords： neural network     multiple site damage     stiffened panel     residual strength    

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Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 122-134 doi: 10.1007/s42524-019-0072-x

Abstract: Aftershocks further damage buildings weakened by mainshocks.Thus, the accurate and efficient prediction of aftershock-induced damage to buildings on a regional scaleA framework to predict regional seismic damage of buildings under a mainshock–aftershock (MS–AS) sequenceThe primary conclusions are as follows. (1) Regional seismic damage of buildings under an MS–AS sequencecan be generated reasonably by the proposed MS–AS sequence-generation method. (3) Regional seismic damage

Keywords： regional seismic damage prediction     city-scale nonlinear time-history analysis     mainshock–aftershock sequence     multiple degree-of-freedom (MDOF) model     2014 Ludian earthquake    

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On the potential of iPhone significant location data to characterize individual mobility for air pollution

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-022-1542-7

Abstract:

● We evaluated the accuracy of iPhone data in capturing time-activity patterns.

Keywords： Air pollution exposure     Human mobility     iPhone     Significant Location     Smartphone data    

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Space-time evolution rules study on acoustic emission location in rock under cyclic loading

Jiang XU, Shuchun LI, Yunqi TAO, Yongdong JIANG, Xiaojun TANG,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 422-427 doi: 10.1007/s11709-009-0056-8

Abstract: The space-time evolution rule regarding damage was analyzed under cyclic loading as well as AE.The results show that AE on static loading process is consistent with the damage evolution rule of compression, and the location points changed slowly.There was a modest increase of location points in every cycle.The tendency of steady development could be predicted from the AE location events.

Keywords： location result     AE location     consistent     friction     elastic-plastic deformation    

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: A location system is very important for solder paste printing in the process of surface mount technologyUsing machine vision technology to complete the location mission is new and very efficient.This paper presents an integrated visual location system for solder paste printing based on machine visionprinciple of solder paste printing is introduced and then the design and implementation of the visual locationOne is accurate image location solved by the pattern-based location algorithms of PatMax.

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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Network-based optimization techniques for wind farm location decisions

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 533-540 doi: 10.15302/J-FEM-2018025

Abstract:

This study aims to find appropriate locations for wind farms that can maximize the overall energy output while controlling the effects of wind speed variability. High wind speeds are required to obtain the maximum possible power output of a wind farm. However, balancing the wind energy supplies over time by selecting diverse locations is necessary. These issues are addressed using network-based models. Hence, actual wind speed data are utilized to demonstrate the advantages of the proposed approach.

Keywords： wind energy     wind farm location     network analysis     optimization     clique     s-plex    

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Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 389-402 doi: 10.1631/FITEE.1500385

Abstract: Accurate home location is increasingly important for urban computing.We revisit this research topic and infer home location within 100 m×100 m squares at 70% accuracy forTo the best of our knowledge, this is the first time home location has been detected at such a fine granularityResults in multiple geographic regions demonstrate both the effectiveness and added value of our home

Keywords： Home location     Mobility patterns     Healthcare    

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Leakage location system for oil pipeline on basis of stress wave detection

WANG Bangfeng, CHEN Renwen

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3,   Pages 307-312 doi: 10.1007/s11465-008-0047-9

Abstract: An online monitoring system was developed for rapidly determining the exact location of the holing position
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A Survey of the Observability for Single Observer Passive Location

Deng Xinpu

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 54-62

Abstract:

A basic requirement for passive state estimation using single observer is the existence of a unique tracking solution.  This leads to the question of observability. The target state is observable over the time interval if,  and only if,  it is uniquely determined by the measurements taken in that interval.  In this paper,  the state-observability problem for passive target tracking by angle measurements is analyzed using three methods: the geometrical method,  the elementary algebraic method and linear system method.  The observability for target tracking with frequency measurements is also analyzed.  Degree of observability is discussed.  And a concise review of papers on observability analysis is presented.

Keywords： passive location     TMA     observability    

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Erratum to: On the potential of iPhone significant location data to characterize individual mobility

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1556-1

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Title Author Date Type Operation

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

Gastrointestinal damage caused by swallowing multiple magnets

Shiqi Liu, Jianhui Li, Yi Lv

Journal Article

Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Journal Article

Multiple damage detection in complex bridges based on strain energy extracted from single point measurement

Alireza ARABHA NAJAFABADI, Farhad DANESHJOO, Hamid Reza AHMADI

Journal Article

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

Prediction model for residual strength of stiffened panels with multiple site damage based on artificial

Yang Maosheng,Chen Yueliang,Yu Dazhao

Journal Article

Regional seismic-damage prediction of buildings under mainshock–aftershock sequence

Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG

Journal Article

On the potential of iPhone significant location data to characterize individual mobility for air pollution

Journal Article

Space-time evolution rules study on acoustic emission location in rock under cyclic loading

Jiang XU, Shuchun LI, Yunqi TAO, Yongdong JIANG, Xiaojun TANG,

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Network-based optimization techniques for wind farm location decisions

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO

Journal Article

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Journal Article

Leakage location system for oil pipeline on basis of stress wave detection

WANG Bangfeng, CHEN Renwen

Journal Article

A Survey of the Observability for Single Observer Passive Location

Deng Xinpu

Journal Article

Erratum to: On the potential of iPhone significant location data to characterize individual mobility

Journal Article