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Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: Like electrical resistivity which has been historically used as a theory for analyzing structural domainsize and defect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defectsFrom the residual thermal reffusivity at the 0 K limit, the structural thermal domain (STD) size of crystallineof thermal reffusivity against decreasing temperature profiles, we conclude that they reflected the structural

Keywords： thermal reffusivity theory     phonon behavior     structure defects     structural thermal domain (STD) size     2D    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The ultrasonic tomographic technology is applied to diagnose the defects in hydraulic concrete structureHowever, the image resolution of multiple defects is not satisfactory.Defects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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“Charging” the cigarette butt: heteroatomic porous carbon nanosheets with edge-induced topological defects

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1755-1764 doi: 10.1007/s11705-023-2318-8

Abstract: reaction by facilitating the adsorption of oxygenated intermediates by the edge-induced topological defects

Keywords： oxygen evolution reaction     porous carbon nanosheets     Co nanoparticles     edge-induced topological defects    

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Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 48-52 doi: 10.1007/s11465-018-0493-y

Abstract: near-net shape casting aluminum parts were investigated by computed tomography to determine casting defects(second part), low-pressure die casting (first part) significantly reduced the formation of casting defectsNo significant casting defect was observed in the third part, and this absence of defects indicates thatMoreover, casting defects were mostly distributed along the eutectic grain boundaries.This investigation demonstrated that computed tomography is an efficient method to determine casting defects

Keywords： near-net shape casting     aluminum parts     casting defects     low pressure die casting     die casting     semi-solid    

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Service Security of Underwater Tunnel Lining Structures and Corresponding Guarantee Countermeasures

He Chuan,Liu Sijin,Zhang Yuchun and Feng Kun

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 44-51 doi: 10.15302/J-SSCAE-2017.06.007

Abstract: long-life security of underwater tunnel structures are being sought regarding tunnel construction, structuralThis research can serve as a reference for enhancing the structural security of underwater tunnels and

Keywords： underwater tunnels     service security     security guarantee countermeasures     long life     structural defects    

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Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 29-37 doi: 10.1007/s11465-012-0314-7

Abstract: Solder bump defects on flip chips are difficult to detect, because the solder bumps are obscured by the

Keywords： flip chip     defect detection     ultrasonic excitation     vibration analysis    

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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types was established.

1043 practical pipe images were gathered by CCTV robot in a southern Chinese city.

The overall accuracy of the system is 84% and the highest accuracy is 99.3%.

The accuracy shows positive correlation to the number of training samples.

Keywords： Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

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Tuning nitrogen defects and doping sulfur in carbon nitride for enhanced visible light photocatalytic

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 1,   Pages 93-101 doi: 10.1007/s11705-022-2175-x

Abstract: In this work, N defects were successfully prepared via cold plasma.High-energy electrons generated by plasma can produce N defects and embed sulfur atoms into g-C3The concentration of N defects can be tuned by different power and time of plasma.With the increase in N defects, the photocatalytic activity showed a volcanic trend.It provided extra active sites for photocatalytic reaction and improved stability of N defects.

Keywords： g-C3N4     nitrogen defect     sulfur doping     photodegradation     plasma    

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Loss of liver kinase B1 causes planar polarity defects in cochlear hair cells in mice

Yuqin Men,Aizhen Zhang,Liwen Zhang,Yecheng Jin,Zhishuo Wang,Jing Zhao,Xiaolin Yu,Jian Zhang,Jiangang Gao

Frontiers of Medicine 2016, Volume 10, Issue 4,   Pages 481-489 doi: 10.1007/s11684-016-0494-3

Abstract:

The tumor suppressor gene liver kinase B1 (LKB1), also called STK11, encodes a serine/threonine kinase. LKB1 plays crucial roles in cell differentiation, proliferation, and polarity. In this study, LKB1 conditional knockout mice (LKB1Pax2 CKO mice) were generated using Pax2-Cre mice to investigate the function of LKB1 in inner ear hair cells during early embryonic period. LKB1Pax2 CKO mice died perinatally. Immunofluorescence and scanning electron microscopy revealed that stereociliary bundles in LKB1Pax2 CKO mice were clustered and misoriented, respectively. Moreover, ectopic distribution of kinocilium bundles resulting from abnormal migration of kinocilium was observed in the mutant mice. The orientation of stereociliary bundles and the migration of kinocilia are critical indicators of planar cell polarity (PCP) of hair cells. LKB1 deficiency in LKB1Pax2 CKO mice thus disrupted hair cell planar polarity during embryonic development. Our results suggest that LKB1 is required in PCP formation in cochlear hair cells in mice.

Keywords： LKB1     stereociliary bundles     kinocilium     planar cell polarity     hearing     mice    

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Highly uniform Ni particles with phosphorus and adjacent defects catalyze 1,5-dinitronaphthalene hydrogenation

Wei Xiong, Susu Zhou, Zeyong Zhao, Fang Hao, Zhihui Cai, Pingle Liu, Hailiang Zhang, Hean Luo

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 4,   Pages 998-1007 doi: 10.1007/s11705-020-1994-x

Abstract: This work proposes a modified activated carbon support, with defects and heteroatoms (N,P-ACs) by nitrogenThe nitrogen species were burned off at 900 °C, causing more defects for nickel metal loading, facilitatingIt exhibits that the defects formed by heteroatom doping are beneficial to nickel anchoring and depositionThe phosphorus species in combination with the defects are suitable for H adsorption and dissociation

Keywords： nitrogen and phosphorus doping     non-noble nickel catalyst     aromatic compounds hydrogenation    

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Behavior of Impurities, Defects and Surface Morphology for Silicon and Silicon Based Semiconducting Materials

Tu Hailing

Strategic Study of CAE 2000, Volume 2, Issue 1,   Pages 7-17

Abstract: and wafers bring about a number of technological problems and on the other hand, impurities behavior, defectsand surface mor-point defects and the extended defects, and their relations with crystal growth technologyInteraction between points defects and oxygen precipitates has been treated to be of prime importance

Keywords： silicon wafers     epitaxial silicon wafers     SiGe     silicon-on-insulator (SOI)     impurities behavior     defects control    

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters     damping identification method     input excitation force identification     Inverse    

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Effects of green roof damping and configuration on structural seismic response

Frontiers of Structural and Civil Engineering   Pages 1133-1144 doi: 10.1007/s11709-023-0959-9

Abstract: Hence, their structural resilience or ability to recover from natural events must be considered comprehensively, nonlinear time-history analyses are conducted on a three-story building in SAP2000 to monitor the structuralThe increased damping in the green roof soil is beneficial to the structural performance, i.e., it reducesAdditionally, certain configurations are more effective and beneficial to the structural response thanBased on the findings of this study, new methods of modeling and considering green roofs in structural

Keywords： green infrastructure     green roof     structural resilience     seismic design    

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Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 321-333 doi: 10.1007/s11709-012-0161-y

Abstract: This paper presents an overview of development of an integrated structural health monitoring system.The integrated system includes vibration and guided-wave based structural health monitoring.system under operational conditions and structural evaluation.The study is mainly focused on developing: integrated sensor technology, integrated structural damageidentification with operational loads monitoring, and integrated structural evaluation with results

Keywords： integrated structural health monitoring     operational conditions     vibration and guided wave    

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Title Author Date Type Operation

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

“Charging” the cigarette butt: heteroatomic porous carbon nanosheets with edge-induced topological defects

Journal Article

Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Journal Article

Service Security of Underwater Tunnel Lining Structures and Corresponding Guarantee Countermeasures

He Chuan,Liu Sijin,Zhang Yuchun and Feng Kun

Journal Article

Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Journal Article

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article

Tuning nitrogen defects and doping sulfur in carbon nitride for enhanced visible light photocatalytic

Journal Article

Loss of liver kinase B1 causes planar polarity defects in cochlear hair cells in mice

Yuqin Men,Aizhen Zhang,Liwen Zhang,Yecheng Jin,Zhishuo Wang,Jing Zhao,Xiaolin Yu,Jian Zhang,Jiangang Gao

Journal Article

Highly uniform Ni particles with phosphorus and adjacent defects catalyze 1,5-dinitronaphthalene hydrogenation

Wei Xiong, Susu Zhou, Zeyong Zhao, Fang Hao, Zhihui Cai, Pingle Liu, Hailiang Zhang, Hean Luo

Journal Article

Behavior of Impurities, Defects and Surface Morphology for Silicon and Silicon Based Semiconducting Materials

Tu Hailing

Journal Article

Approximation of structural damping and input excitation force

Mohammad SALAVATI

Journal Article

Effects of green roof damping and configuration on structural seismic response

Journal Article

Development of an integrated structural health monitoring system for bridge structures in operational

Xinqun ZHU, Hong HAO

Journal Article