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Mechanical properties of rock materials with related to mineralogical characteristics and grain size through experimental investigation： a comprehensive review

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Frontiers of Structural and Civil Engineering 2017年第3期11卷 322-328页

作者： Wenjuan SUN linbing wang Yaqiong wang USTB-Virginia Tech Joint Lab on Multifunctional Materials National Center for Materials Service Safety University of Science and Technology Beijing Beijing China Virginia Tech Blacksburg VA 24061 United States Shaanxi Provincial Key Laboratory for Highway Bridge & Tunnel Chang'an University Xi'an 710064 China

Mechanical properties of rock materials are related to textural characteristics. The relationships between mechanical properties and textural characteristics have been extensively investigated for differently types of rocks through experimental tests. Based on the experimental test data, single- and multiple- variant regression analyses are conducted among mechanical properties and textural characteristics. Textural characteristics of rock materials are influenced by the following factors： mineral composition, size, shape, and spatial distribution of mineral grains, porosity, and inherent microcracks. This study focuses on the first two： mineral composition and grain size. This study comprehensively summarizes the regression equations between mechanical properties and mineral content and the regression equations between mechanical properties and grain size. Further research directions are suggested at the end of this study.

关键词： Mechanical properties rock material texture mineral characteristics

Simulation of thermal expansion mismatch at high temperature

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Underground Space 2023年第1期8卷 210-228页

作者： Zhifei Gao linbing wang Hongtao Zhang National Center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China Joint USTB-Virginia Tech Lab on Multifunctional Materials University of Science and Technology BeijingBeijing 100083China Joint USTB-Virginia Tech Lab on Multifunctional Materials Virginia TechBlacksburgVA 24061USA Department of Civil Engineering North China University of TechnologyBeijing 100144China

The thermal expansion mismatch between cement mortar and aggregate at high temperature is one of the main reasons causing the deterioration of concrete at high *** this study,the thermal damage of concrete caused by the thermal expansion mismatch between aggregate and cement mortar was investigated using a meso-scale concrete *** meso-scale concrete model is composed of mortar,aggregate and the interfacial transition zone(ITZ).Laboratory tests on the mechanical properties of cement mortar at high temperature were conducted to provide the necessary mechanical parameter for the meso-scale concrete *** simulation results show that the particle size,content,distribution and mechanical properties of the aggregate have an effect on the thermal damage of concrete at high *** smaller the particle size of concrete aggregate and the higher the elastic modulus of aggregate,the greater the damage of concrete under high *** to the increasing thermal expansion difference between aggregate and cement mortar,and the deterioration of the cement mortar with the increasing temperature,the damage of concrete increased sharply after 500℃.

关键词： Cement mortar Concrete High temperature Thermal expansion mismatch Meso-scale model

Automated,economical,and environmentally-friendly asphalt mix design based on machine learning and multi-objective grey wolf optimization

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第3期11卷 381-405页

作者： Jian Liu Fangyu Liu linbing wang Department of Civil and Environmental Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA School of Environmental CivilAgricultural and Mechanical EngineeringUniversity of GeorgiaAthensGA 30602USA Illinois Center for Transportation Department of Civil and Environmental EngineeringUniversity of Illinois Urbana-ChampaignUrbanaIL 61801USA

The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO_(2)emissions during pavement construction and ***,the laboratory mix design process,which involves selecting aggregate gradation and binder content,is time-consuming and *** accelerate the traditional mix design procedure,this study presented a mix design procedure that can automatically determine gradation and binder content based on machine learning(ML)and a meta-heuristic ***,ML approaches were employed to model the relationship between volumetric properties(mixture bulk specific gravity(Gmb)and air void(VV))and both mixture component properties and mixture proportion,based on a dataset collected from literature with 660 mixture *** with the prediction of ML models and the modified multi-objective grey wolf optimization(MOGWO)algorithm,an automatic asphalt mix design was proposed to pursue three goals,including VV,cost,and CO_(2)*** results indicated that least squares support vector regression(LSSVR)and e Xtreme gradient boosting(XGBoost)achieved the highest prediction accuracies(correlation coefficient:0.92 for VV and 0.96 for Gmb).The MOGWO algorithm successfully found the 26 optimal mix designs for the case of VV *** ***_(2)*** to the traditional laboratory design,the optimal mixture with VV of4%achieves a cost saving of 2.46%and a reduction of 4.03%in carbon *** volumetric properties of the mixtures output by the approach also align closely with values measured in a laboratory.

关键词： Asphalt mix design Machine learning MOGWO CO_(2)emission Volumetric properties

A review on pavement distress and structural defects detection and quantification technologies using imaging approaches

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Journal of Traffic and Transportation Engineering(English Edition) 2022年第2期9卷 135-150页

作者： Chu Chu linbing wang Haocheng Xiong National Center for Materials Service Safety University of Science and Technology BeijingBeijing 100083China Department of Civil&Environmental Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China

Pavement distress detection(PDD)plays a vital role in planning timely pavement maintenance that improves pavement service *** order to promote the development of PDD technologies and find out the insufficiencies in PDD field,this paper reviews the technical development history and characteristics of various PDD technologies,which contributes to the current state of research on ***,processes of PDD are briefly *** PDD technologies based on radar ranging,2D image,laser ranging and 3 D structured light are *** newest 3D PDD technology based on interference fringe,which has better accuracy,is in *** principles and implementation processes of these methods are ***,the shortcomings of these technologies in the field of PDD are *** for future development are *** research results show that various PDD technologies have been continuously improved,developed,over the past decade,and have achieved a series of ***,the measurements from existing PDD technologies can not be metrological traced to acquire the true dimensions of pavement *** lack of metrological traceability technology in the PDD field needs to be further *** order to achieve more accurate and efficient PDD,the metrological traceability technology of PDD systems has become the future development direction in this field.

关键词： Pavement service life Pavement distress detection Metrological traceability Development direction

An artificial neural network model on tensile behavior of hybrid steel-PVA fiber reinforced concrete containing fly ash and slag power

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Frontiers of Structural and Civil Engineering 2020年第6期14卷 1299-1315页

作者： Fangvu LIU Wenqi DING Yafei QIAO linbing wang Department of Civil and Environmental Engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China Key Laboratory of Geotechnical and Underground Engineering(Tongji University) Ministry of EducationShanghai 200092China

The tensile behavior of hybrid fiber reinforced concrete(HFRC)is important to the design of HFRC and HFRC *** study used an artificial neural network(ANN)model to describe the tensile behavior of *** ANN model can describe well the tensile stress-strain curve of HFRC with the consideration of 23 features of *** the model,three methods to process output features(no-processed,mid-processed,and processed)are discussed and the mid-processed method is recommended to achieve a better reproduction of the experimental *** means the strain should be normalized while the stress doesn’t need *** prepare the database of the model,both many direct tensile test results and the relevant literature data are ***,a traditional equation-based model is also established and compared with the ANN *** results show that the ANN model has a better prediction than the equation-based model in terms of the tensile stress-strain curve,tensile strength,and strain corresponding to tensile strength of ***,the sensitivity analysis of the ANN model is also performed to analyze the contribution of each input feature to the tensile strength and strain corresponding to tensile *** mechanical properties of plain concrete make the main contribution to the tensile strength and strain corresponding to tensile strength,while steel fibers tend to make more contributions to these two items than PVA fibers.

关键词： artificial neural network hybrid fiber reinforced concrete tensile behavior sensitivity analysis stress-strain

A preliminary research on wireless cantilever beam vibration sensor in bridge health monitoring

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Frontiers of Structural and Civil Engineering 2018年第2期12卷 207-214页

作者： Xinlong TONG Shanglin SONG linbing wang Hailu YANG National Center for Materials Service Safety Joint USTB-Virginia Tech Lab on Multifunctional Materials University of Science and Technology Beijing Beijing 100083 China Virginia Tech Blacksburg VA 24061 United States

According to specific bridge environment, optimal design piezoelectric cantilever beam structure by using results of theoretical calculations and simulation, verify natural frequencies of piezoelectric cantilever beam and production ability of data by experiment, thus formed a complete set of design method of piezoelectric cantilever beam. Considering natural frequency of vibration and intensity of the beam body, design a new type of piezoelectric cantilever beam structure. Paper analyzes the principle of sensor data acquisition and transmission, design a hardware integration system include signal conversion module, microcontroller module and wireless transmission module, test local read and wireless transmission for the combination structure of cantilever beam and data collection card, experimental verification of the radio piezoelectric vibrating cantilever vibration response is intact, the beam produced signal by vibration, acquisition card converts and wireless transmit data, this proved a good and intuitive linear response in simulation of bridge vibration test. Finally, the paper designed a kind of new wireless sensor of vibration cantilever beam, suitable for small bridge health monitoring based on Internet of things.

关键词： piezoelectric cantilever beam bridge natural frequency wireless sensor

Transfer learning-based encoder-decoder model with visual explanations for infrastructure crack segmentation:New open database and comprehensive evaluation

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Underground Space 2024年第4期17卷 60-81页

作者： Fangyu Liu Wenqi Ding Yafei Qiao linbing wang Illinois Center for Transporation Department of Civil and Environmental EngineeringUniversity of Illinois Urbana-ChampaignIllinois 61801USA Department of Geotechnical Engineering College of Civil EngineeringTongji UniversityShanghai 200092China Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education Tongji UniversityShanghai 200092China School of Environmental CivilAgricultural and Mechanical EngineeringUniversity of GeorgiaGeorgia 30602USA

Contemporary demands necessitate the swift and accurate detection of cracks in critical infrastructures,including tunnels and *** study proposed a transfer learning-based encoder-decoder method with visual explanations for infrastructure crack ***,a vast dataset containing 7089 images was developed,comprising diverse conditions—simple and complex crack patterns as well as clean and rough ***,leveraging transfer learning,an encoder-decoder model with visual explanations was formulated,utilizing varied pre-trained convolutional neural network(CNN)as the *** explanations were achieved through gradient-weighted class activation mapping(Grad-CAM)to interpret the CNN segmentation ***,accuracy,complexity(computation and model),and memory usage assessed CNN feasibility in practical *** performance was gauged via prediction and visual *** investigation encompassed hyperparameters,data augmentation,deep learning from scratch *** learning,segmentation model architectures,segmentation model encoders,and encoder pre-training *** underscored transfer learning’s potency in enhancing CNN accuracy for crack segmentation,surpassing deep learning from ***,encoder classification accuracy bore no significant correlation with CNN segmentation *** all tested models,UNet-EfficientNet_B7 excelled in crack segmentation,harmonizing accuracy,complexity,memory usage,prediction,and visual explanation.

关键词： Crack segmentation Transfer learning Visual explanation Infrastructure Database

A state-of-the-art review on interfacial behavior between asphalt binder and mineral aggregate

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Frontiers of Structural and Civil Engineering 2018年第2期12卷 248-259页

作者： Meng GUO Yiqiu TAN linbing wang Yue HOU National CenterJor Materials Service Sa[ety University of Science and Technology Beijing Beijing 100083 China School of Transportation Science and Engineering Harbin Institute of Technology Harbin 150090 China Joint USTB-Virginia Teeh Lab on Multifunctional Materials University of Science and Technology Beijing Beijing 100083 China Virginia Tech Blacksburg VA 24061 USA

The interface between asphalt binder and mineral aggregate directly affects the service life of pavement because the defects and stress concentration occur more easily there. The interaction between asphalt binder and mineral aggregate is the main cause of forming the interface. This paper presents an extensive review on the test technologies and analysis methods of interfacial interaction, including molecular dynamics simulation, phase field approach, absorption tests, rheological methods and macro mechanical tests. All of the studies conducted on this topic clearly indicated that the interfacial interaction between asphalt binder and mineral aggregate is a physical-chemical process, and can be qualitatively characterized by microscopical technique （such as SEM and AFM）, and also can be quantitatively evaluated by rheological methods and interfacial mechanical tests. Molecular dynamics simulation and phase field approach were also demonstrated to be effective methods to study the interfacial behavior and its mechanism.

关键词： Asphalt binder Mineral aggregate Interfacial behavior Multiscale

Numerical Investigation into the Effect of Air Voids on the Anisotropy of Asphalt Mixtures

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Journal of Wuhan University of Technology(Materials Science) 2017年第2期32卷 473-481页

作者：陈俊 ZHANG Qianqian wang Hao wang linbing HUANG Xiaoming College of Civil and Transportation Engineering Hohai Univeristy Nanjing 210098 China Department of Civil and Environmental Engineering Rutgers The State University of New Jersey Piscataway NJ 08854 USA The Via Department of Civil and Environmental Engineering Virginia Polytechnic Institute and State University Blacksburg VA 24061 USA School of Transportation Southeast University Nanjing 210096 China

The aim of this study is to investigate the asphalt mixture anisotropy of both the modulus and Poisson＇s ratio due to air voids using a discrete element modeling simulation method. Three three-dimensional cubic digital samples of asphalt mixture with different shapes of single air void were built using discrete element software PFC^（3D）. The aggregate gradation, air voids and mastic included in the digital samples were modeled using different contact models, with due consideration of the volumetric fractions of the different phases. Laboratory uniaxial complex modulus test and indirect tensile strength test were conducted to obtain material input parameters for numerical modeling. Simulation of the uniaxial cyclic compressive tests was performed on the three cubic samples loaded in three different directions. Dynamic modulus in three directions and Poisson＇s ratio in six directions were calculated from the compression stress-strain responses. Results show that both the modulus and Poisson＇s ratio are dependent on the preferential orientation of air voids. The anisotropy of the modulus and Poisson＇s ratio increases as the pressure loading on the asphalt mixture increases. Compared to the modulus, Poisson＇s ratio due to air voids has been shown to be more anisotropic. The maximum of Poisson＇s ratio and modulus is shown to be up to 80% and 11% higher than the minimum, respectively.

关键词： anisotropy asphalt mixture air void discrete element modeling dynamic modulus Poisson's ratio