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Nondestructive Testing Method to Assess and Detect Road Performance

Guo Chengchao,Xu Pengfei and Zhong Yanhui

Strategic Study of CAE 2017, Volume 19, Issue 6,   Pages 72-79 doi: 10.15302/J-SSCAE-2017.06.011

Abstract: As such, it is essential to implement rapid and effective management measures to ensure road safety,In this paper, five nondestructive road testing methods and their associated testing equipment are introducedwithout traffic closures, likely provide a new approach for establishing a high-efficiency intelligent roadnetwork monitoring system, and will provide a practical and feasible method for sustainable road development

Keywords： road detection     road defects     nondestructive testing    

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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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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: size and defect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects

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

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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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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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Characteristics and application of road absorbing solar energy

Zhihua ZHOU, Shan HU, Xiaoyan ZHANG, Jian ZUO

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 525-534 doi: 10.1007/s11708-013-0278-2

Abstract: If the heat of road surface can be stored in summer, the road surface temperature will be decreased toA road-solar energy system was built in this study, and the heat transfer mechanism and effect of thesystem were analyzed according to the monitored solar radiant heat, the solar energy absorbed by roadThe temperature of the solar road surface was 3°C–6°C lower than that of the ordinary road surface.road.

Keywords： solar energy     road-solar energy system     road surface temperature     solar absorptivity of road surface     solar    

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Development and road performance of clear asphalt with high transparency and adhesion

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 238-255 doi: 10.1007/s11709-022-0898-x

Abstract: Clear asphalt (CA) currently used in light-colored asphalt mixtures (LCAM) exhibits poor transparency and adhesion. Therefore, a highly transparent CA (HCA) modified using a silane coupling agent (KH550) was prepared. Furthermore, LCAM was prepared by mixing CA and limestone aggregates. The properties of the HCA and ordinary CA (OCA) were characterized using conventional asphalt tests, optical tests, pull-off tests, ultraviolet aging tests, dynamic shear rheometry, Fourier-transform infrared spectroscopy, differential scanning calorimetry, and scanning electron microscopy. Whereas Marshall, moisture resistance, wheel tracking, trabecular bending, and British pendulum tests were employed for the LCAM. The transmittance and spectral reflectance of the HCA were 123.30 and 3.74 times greater than those of the OCA, respectively. The complex modulus and viscosity-aging index of the HCA were 48% and 53% less than those of the OCA, respectively. After modification with KH550, the Marshall stability ratio, tensile strength ratio, and flexural strain of the HCA-prepared LCAM increased by 12.92%, 25.06%, and 23.90%, respectively. However, the rutting resistance of the HCA-prepared LCAM was 14.3% less than that of the OCA-prepared LCAM. The comprehensive performances of the HCA and HCA-prepared LCAM were 49.2% and 10.3% greater than those of the OCA and OCA-prepared LCAM, respectively, indicating a high application value in the future.

Keywords： light-colored asphalt pavement     orthogonal test     road performance     spectral reflectance     silane-coupling    

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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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Special issue: Management of road and railway traffic and transportation engineering

Yongfu SUN, Ziyou GAO

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 385-387 doi: 10.15302/J-FEM-2017110

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Rational Understanding about Renaissance Path of China's Road and Bridge Engineering

Mao-run Feng,Zheng-song Zhao

Frontiers of Engineering Management 2014, Volume 1, Issue 1,   Pages 42-51 doi: 10.15302/J-FEM-2014013

Abstract: At the turn of this century, China began the largest road and bridge development in the world, whichSurveying the development of world transportation, and comparing the road and bridge construction effortsaction to build up a transportation network; demand and innovation are the driving forces to upgrade roadquality and efficiency, expose all construction practices that violate scientific law, overall management defectsin road and bridge construction and maintenance, and search for new ways to strengthen social management

Keywords： road network     expressway     bridge project     technological innovation     construction management     social management    

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Quantification of emission variability for off-road equipment in China based on real-world measurements

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 2, doi: 10.1007/s11783-021-1455-x

Abstract:

• Emissions from 53 in-use diesel-fueled off-road equipment were measured

Keywords： Off-road equipment     Portable emission measurement system (PEMS)     Real-world emissions     Diesel engine    

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Title Author Date Type Operation

Nondestructive Testing Method to Assess and Detect Road Performance

Guo Chengchao,Xu Pengfei and Zhong Yanhui

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

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

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

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

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

Characteristics and application of road absorbing solar energy

Zhihua ZHOU, Shan HU, Xiaoyan ZHANG, Jian ZUO

Journal Article

Development and road performance of clear asphalt with high transparency and adhesion

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

Special issue: Management of road and railway traffic and transportation engineering

Yongfu SUN, Ziyou GAO

Journal Article

Rational Understanding about Renaissance Path of China's Road and Bridge Engineering

Mao-run Feng,Zheng-song Zhao

Journal Article

Quantification of emission variability for off-road equipment in China based on real-world measurements

Journal Article