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学者姓名:张金喜
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Abstract :
The technical condition of road pavements requires regular monitoring to support accurate maintenance decisions. However, existing pavement maintenance quality index (PQI) assessment methods are often expensive and infrequent, which limits intelligent decision-making. This paper proposes a cost-effective and precise PQI assessment method using data from five highways in Beijing. Key PQI indicators were identified through a hybrid feature selection method, and a CatBoost model optimised by a genetic algorithm (GA-CatBoost) was developed. The model demonstrated superior accuracy, achieving an R2 of 0.938, an MSE of 0.838, and an MAE of 0.576. It achieved 98.46% accuracy compared to traditional methods, confirming its reliability in an on-site application. This approach offers an economical solution for high-frequency PQI assessment, enabling intelligent decision-making in road infrastructure maintenance and supporting the use of lightweight detection equipment.
Keyword :
ensemble learning ensemble learning Pavement maintenance quality index (PQI) Pavement maintenance quality index (PQI) highway highway genetic algorithm genetic algorithm assessment method assessment method
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GB/T 7714 | Nie, Lei , Zhang, Jinxi , Guo, Wangda et al. Key pavement condition indicators for assessing highway pavement maintenance quality index [J]. | ROAD MATERIALS AND PAVEMENT DESIGN , 2024 . |
MLA | Nie, Lei et al. "Key pavement condition indicators for assessing highway pavement maintenance quality index" . | ROAD MATERIALS AND PAVEMENT DESIGN (2024) . |
APA | Nie, Lei , Zhang, Jinxi , Guo, Wangda , Wang, Jincheng . Key pavement condition indicators for assessing highway pavement maintenance quality index . | ROAD MATERIALS AND PAVEMENT DESIGN , 2024 . |
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This research studies the durability of self-compacting concrete (SCC) with fly ash (FA), coal gangue powder (CGP), cement kiln dust (CKD), and recycled concrete powder (RCP) by absolute volume method. The fresh properties of self-compacting concrete (SCC) mixtures were assessed by slump flow, T50 cm slump flow, and V-Funnel flow time. The strength and durability properties were evaluated using a compressive strength test, Freeze-thaw resistance, chloride ion penetration, and carbonation resistance tests. Furthermore, the pore structure of concrete after a 90-day curing period was analyzed using Mercury Intrusion Porosimetry (MIP), which provided valuable information on the distribution and properties of pores inside the material. The results revealed that SCC with FA and CKD performed best with a slump flow of 700 mm. Specimens with FA and RCP have greater compressive strength after 90 days of curing, making them appropriate for high-strength applications. In terms of freeze-thaw resistance, SCC with CGP exhibits the lowest mass loss rate, indicating the best resistance, followed by FA and CKD, with RCP showing the least resistance. FA and CKD have excellent enhancement effects for SCC resistance to chloride ions. Specimens with RCP have the lowest carbonation depth and the best carbonation resistance. The findings suggest that the concrete specimens with fly ash (FA) have the highest total pore area and porosity, with a wide range of pore sizes and a prominent peak in the capillary pore size range, indicating a highly porous structure. This study provides practical advice on how to use SCC in construction and improve material selection and optimization.
Keyword :
Carbonation Carbonation Chloride ion penetration Chloride ion penetration Recycled concrete powder Recycled concrete powder Pore Structure Pore Structure Cement kiln dust Cement kiln dust Freeze-thaw resistance Freeze-thaw resistance Fly ash Fly ash Coal gangue powder Coal gangue powder Compressive strength Compressive strength Self-compacting concrete Self-compacting concrete
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GB/T 7714 | Murtaza, Muhammad , Zhang, Jinxi , Yang, Ce et al. Durability of high strength self-compacting concrete with fly ash, coal gangue powder, cement kiln dust, and recycled concrete powder [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 449 . |
MLA | Murtaza, Muhammad et al. "Durability of high strength self-compacting concrete with fly ash, coal gangue powder, cement kiln dust, and recycled concrete powder" . | CONSTRUCTION AND BUILDING MATERIALS 449 (2024) . |
APA | Murtaza, Muhammad , Zhang, Jinxi , Yang, Ce , Su, Ci , Wu, Hansong . Durability of high strength self-compacting concrete with fly ash, coal gangue powder, cement kiln dust, and recycled concrete powder . | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 449 . |
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Abstract :
Recycling of reclaimed asphalt pavement (RAP) faces significant challenges due to interfacial interaction problems within reclaimed asphalt mixtures (RAM). This review focuses on two critical interfaces within RAM: the interface between fresh and aged asphalt, and the interface between aged asphalt and aggregate. These interfaces exert a profound influence on the performance of RAM, impacting key pavement attributes such as rutting resistance, fatigue life, and moisture damage resistance. Consequently, a comprehensive understanding and enhancement of these interfacial interactions are essential for optimizing RAP utilization and elevating the overall performance of RAM. The review commences with systematic analysis of two pivotal interface properties within RAM. It delves into the definition of these interfaces, elucidates the factors influencing their performance, and meticulously examines the methodologies employed to evaluate their characteristics. Subsequently, the review investigates the impact of rejuvenating agents, including petroleum-based oils, bio-based oils, and chemical modifiers, on enhancing interfacial properties. Additionally, the role of surface treatment techniques, such as chemical treatments and mechanical grinding, in augmenting interfacial adhesion between asphalt and aggregates is discussed. While progress has been made in interfacial study, several challenges persist. Consequently, the review concludes by providing some recommendations for future research endeavors. These recommendations aim to overcome the existing challenges and advance the field of RAM interfacial property enhancement.
Keyword :
Sustainable asphalt pavement Sustainable asphalt pavement Reclaimed asphalt mixture Reclaimed asphalt mixture Interface processing methods Interface processing methods Interface performance Interface performance Performance recovery Performance recovery
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GB/T 7714 | Wang, Jincheng , Dong, Zizhen , Zhang, Jinxi . Advances in the research of interfacial properties of reclaimed asphalt mixture: A comprehensive review☆ [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 481 . |
MLA | Wang, Jincheng et al. "Advances in the research of interfacial properties of reclaimed asphalt mixture: A comprehensive review☆" . | JOURNAL OF CLEANER PRODUCTION 481 (2024) . |
APA | Wang, Jincheng , Dong, Zizhen , Zhang, Jinxi . Advances in the research of interfacial properties of reclaimed asphalt mixture: A comprehensive review☆ . | JOURNAL OF CLEANER PRODUCTION , 2024 , 481 . |
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Abstract :
Ride quality monitoring is crucial for the sustainable development of modern urban transportation infrastructure. This study innovatively designed a two-phase synergetic framework for monitoring the ride quality of urban roads using smartphone sensing technology. Firstly, a convolutional neural network integrated multi -head attention mechanism was developed to quantify the driving comfort from whole-body vibrations. Then, a multi -source driving comfort data fusion strategy was proposed to monitor the road sections with poor ride quality. The experimental results show that: (1) the consistency between the developed model outputs and the results quantified by ISO 2631 - 1 exceeds 90%; (2) visual inspection results of ride quality monitoring align with actual pavement conditions. Compared to existing studies, the designed framework avoids over-reliance on prior knowledge and improves objectivity and reliability of ride quality monitoring. This study provides a novel insight into urban road monitoring and thus contributes to the refined management of urban road assets.
Keyword :
Ride quality monitoring Ride quality monitoring Vibration-based solution Vibration-based solution Smartphone Smartphone Urban roads Urban roads Data -driven driving comfort quantification Data -driven driving comfort quantification
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GB/T 7714 | Guo, Wangda , Zhang, Jinxi , Cao, Dandan et al. A monitoring framework for urban road ride quality using smartphone sensing technology [J]. | MEASUREMENT , 2024 , 235 . |
MLA | Guo, Wangda et al. "A monitoring framework for urban road ride quality using smartphone sensing technology" . | MEASUREMENT 235 (2024) . |
APA | Guo, Wangda , Zhang, Jinxi , Cao, Dandan , Nie, Lei , Sun, Gonghao , Wang, Jincheng . A monitoring framework for urban road ride quality using smartphone sensing technology . | MEASUREMENT , 2024 , 235 . |
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Aiming at the current situation that the highway milepost and geodetic coordinates matching methods are less intelligent and less accurate, resulting in the efficiency and accuracy of the milepost matching methods cannot meet the requirements of practical applications, this paper applies centimeter-level combined inertial navigation system and binocular camera to collect road spatial information and image data, adopts trajectory planning method and image recognition technology for data analysis, and obtains continuous collection trajectory. Based on the principle of 3D scene restoration by binocular stereo vision, this paper proposes a method to obtain the geographic coordinates of mileage stakes through the parallel view of stake number plate and realizes the high accuracy and fast matching of highway mileage stakes and geodetic coordinates. The experimental results show that the method can better achieve the rapid matching of highway mileage stakes and geodetic coordinates, and the average accuracy of stakes matching reaches the decimeter level, which can meet the requirements of most current application scenarios.
Keyword :
Road engineering Road engineering high-precision positioning technology high-precision positioning technology pile matching pile matching binocular stereo vision system binocular stereo vision system image recognition image recognition
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GB/T 7714 | Zhang, Qi , Li, Sili , Zhang, Panpan et al. Research on High-Precision Matching Technology of Highway Chainage System Based on Binocular Stereo Vision [J]. | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 : 246-262 . |
MLA | Zhang, Qi et al. "Research on High-Precision Matching Technology of Highway Chainage System Based on Binocular Stereo Vision" . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 (2023) : 246-262 . |
APA | Zhang, Qi , Li, Sili , Zhang, Panpan , Tian, Bo , Zhang, Jinxi . Research on High-Precision Matching Technology of Highway Chainage System Based on Binocular Stereo Vision . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 , 246-262 . |
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Abstract :
In recent years, the cost of road maintenance has been increasing annually, and the importance of preventive maintenance for roads has been gaining more attention. Nevertheless, due to the varying maintenance times and long-term performance data of different roads, it is difficult to accurately assess the benefit of different preventive maintenance measures. In this study, the thin overlay, slurry seal, chip seal, and crack seal were considered as preventive maintenance measures, and the roughness, rutting, transverse cracking, longitudinal cracking, and alligator cracking as the long-term pavement performance. The data of maintenance measures and the long-term performance of pavement was selected from the long-term pavement performance (LTPP) database. The dynamic time warping (DTW) algorithm was used to evaluate the long-term performance of pavement that was maintained by different preventive maintenance measures and at different time. Results showed that the thin overlay has the most remarkable improvement effect on international roughness index (IRI) and rut depth (RD) of pavement, but the improvement effect of the other three maintenance measures on the long-term performance of pavement is almost the same and relatively small. The crack seals of longitudinal, transverse, and alligator cracks have little improvement on the long-term performance of the pavement. The DTW method showed excellent superiority in the evaluation of long-term pavement performance.
Keyword :
Dynamic time warping Dynamic time warping Pavement performance Pavement performance Long-term effectiveness Long-term effectiveness Preventive maintenance Preventive maintenance Asphalt pavement Asphalt pavement
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GB/T 7714 | Zhang, Jinxi , Zhang, Yuxuan , Guo, Wangda et al. Long-Term Performance Analysis of Pavement Maintenance Measures Based on DTW Algorithm [J]. | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 : 894-903 . |
MLA | Zhang, Jinxi et al. "Long-Term Performance Analysis of Pavement Maintenance Measures Based on DTW Algorithm" . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 (2023) : 894-903 . |
APA | Zhang, Jinxi , Zhang, Yuxuan , Guo, Wangda , Cui, Xuhao . Long-Term Performance Analysis of Pavement Maintenance Measures Based on DTW Algorithm . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 , 894-903 . |
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With the development of cell phone technology, smartphone nowadays is no longer limited to communication but is also well used in fields such as traffic engineering, where they can be used to collect driving vibration data to evaluate pavement performance. The approach based on smartphones could effectively reduce the cost of pavement detection, in which the relationship between smartphone test data and pavement performance is the essence of the method. This study predicted the international roughness index (IRI) based on an improved PSO-BP neural network method using the driving vibration data collected by a self- developed smartphone application. The results show that the driving speed, acquisition frequency, experimental vehicle, and the attitude of mobile phones have a significant impact on the vibration data. The regression value (R) of the roughness optimized by PSO is 0.90, and the average relative error is 18.01%, which is improved by 4.29% compared with the traditional BP neural network. The pavement roughness can be more accurately predicted by using the method proposed in this study, which provides theoretical support for the further development of the intelligent detection of pavement performance.
Keyword :
intelligent equipment intelligent equipment BP neural network BP neural network road engineering road engineering pavement roughness pavement roughness particle swarm optimization particle swarm optimization
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GB/T 7714 | Zhang, Jinxi , Cao, Qianqian , Ding, Yongjie . Pavement Roughness Detection Method Based on Smartphone and PSO-BP Neural Network [J]. | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 : 883-893 . |
MLA | Zhang, Jinxi et al. "Pavement Roughness Detection Method Based on Smartphone and PSO-BP Neural Network" . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 (2023) : 883-893 . |
APA | Zhang, Jinxi , Cao, Qianqian , Ding, Yongjie . Pavement Roughness Detection Method Based on Smartphone and PSO-BP Neural Network . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 , 883-893 . |
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Abstract :
Road temperature-regulating phase change materials (PCM) can reduce the impact of high temperatures on asphalt pavements in summer. In this study, a PCM/ SBS-modified composite asphalt was produced by melt blending of paraffin/expanded graphite/high-density polyethylene composite-shaped phase change materials (PHDP) and SBS-modified asphalt. Then the physical property tests and rheological property tests were conducted. The result showed that compared to SBS-modified asphalt without PHDP, PHDP/SBS-modified composite asphalt had decreased consistency and temperature sensitivity, but increased low-temperature performance. The rotary viscosity, zero shear viscosity, and complex modulus of PHDP/ SBS modified composite asphalt decreased with the increase of the content, but the phase angle was improved. Therefore, the deformation resistance of PHDP/SBS-modified composite asphalt was reduced but the fatigue performance was improved. Due to it containing polymeric structures, PHDP/SBS-modified composite asphalt still has good rutting resistance and elastic recovery ability at 64 degrees C. This study can provide some reference value for the application of PCMs in high-performance pavement.
Keyword :
phase change materials phase change materials SBS-modified asphalts SBS-modified asphalts physical properties physical properties rheological properties rheological properties
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GB/T 7714 | Zhang, Jinxi , Dong, Zizhen , Sun, Guoqiang . Properties of SBS Modified Asphalt Containing Phase Change Materials [J]. | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 : 512-523 . |
MLA | Zhang, Jinxi et al. "Properties of SBS Modified Asphalt Containing Phase Change Materials" . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 (2023) : 512-523 . |
APA | Zhang, Jinxi , Dong, Zizhen , Sun, Guoqiang . Properties of SBS Modified Asphalt Containing Phase Change Materials . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 , 512-523 . |
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Abstract :
Cohesive zone model (CZM) has gained considerable attention to investigate the fracture mechanism of asphalt mixture. The parameters of CZM in finite element (FE) model could be validated according to the semicircular bending test (SCB) results. The fracture energy and strength of asphalt mixture would be obtained based on the CZM parameters after validation. As a temperature sensitive material, the influence of temperature on the fracture properties of asphalt mixture needs to be investigated. In this study, the viscoelastic mechanic parameters of AC-13 asphalt mixture were tested through uniaxial compression test. Then the SCB tests were conducted at the temperature of 15 degrees C, 25 degrees C, and 35 degrees C. The bilinear CZM parameters as well as the fracture energy and strength at different temperature were determined through an optimization approach with high efficiency. The results showed that the strength of asphalt mixture decreases with the increase of temperature, then the decrease of strength reduce its fracture energy.
Keyword :
temperature temperature semicircular bending test semicircular bending test Cohesive zone model Cohesive zone model fracture properties fracture properties asphalt mixture asphalt mixture
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GB/T 7714 | Zhang, Jia , Zhang, Jinxi , Cao, Dandan et al. Fracture Properties of Viscoelastic Asphalt Mixture at Different Temperatures Based on the SCB Test [J]. | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 : 628-643 . |
MLA | Zhang, Jia et al. "Fracture Properties of Viscoelastic Asphalt Mixture at Different Temperatures Based on the SCB Test" . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 (2023) : 628-643 . |
APA | Zhang, Jia , Zhang, Jinxi , Cao, Dandan , Zhou, Weiqi . Fracture Properties of Viscoelastic Asphalt Mixture at Different Temperatures Based on the SCB Test . | 13TH INTERNATIONAL CONFERENCE ON ROAD AND AIRFIELD PAVEMENT TECHNOLOGY 2023 , 2023 , 628-643 . |
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Abstract :
The generalized Maxwell (GM) constitutive model has been widely applied to characterize the viscoelastic properties of asphalt mixtures. The parameters (Prony series) of the GM are usually obtained via interconversion between a dynamic modulus and relaxation modulus, and they are then input to a finite element model (FEM) as viscoelastic parameters. However, the dynamic modulus obtained with the common loading mode only provides the compressive and tensile properties of materials. Whether the compression or tensile modulus can represent the shear properties of materials related to flow rutting is still open to discussion. Therefore, this study introduced a novel method that integrates the Kriging model into the genetic algorithm as a surrogate model to determine the viscoelastic parameters of an asphalt mixture in rutting research. Firstly, a wheel tracking test (WTT) for AC-13 was conducted to clarify the flow rutting development mechanism. Secondly, two sets of the AC-13 viscoelastic parameters obtained through the optimization method and the dynamic modulus were used as inputs into the FEM simulation of the WTT to compare the simulation results. Finally, a sensitivity analysis of viscoelastic parameters was performed to improve the efficiency of parameter optimization. The results indicating the viscoelastic parameters obtained by this method could precisely characterize the development law of flow rutting in asphalt mixtures.
Keyword :
flow rutting flow rutting viscoelasticity viscoelasticity parameter optimization parameter optimization kriging model kriging model asphalt mixture asphalt mixture
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GB/T 7714 | Zhang, Jinxi , Zhou, Weiqi , Cao, Dandan et al. A Study on the Genetic Algorithm Optimization of an Asphalt Mixture's Viscoelastic Parameters Based on a Wheel Tracking Test [J]. | INFRASTRUCTURES , 2023 , 8 (12) . |
MLA | Zhang, Jinxi et al. "A Study on the Genetic Algorithm Optimization of an Asphalt Mixture's Viscoelastic Parameters Based on a Wheel Tracking Test" . | INFRASTRUCTURES 8 . 12 (2023) . |
APA | Zhang, Jinxi , Zhou, Weiqi , Cao, Dandan , Zhang, Jia . A Study on the Genetic Algorithm Optimization of an Asphalt Mixture's Viscoelastic Parameters Based on a Wheel Tracking Test . | INFRASTRUCTURES , 2023 , 8 (12) . |
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