Wavelet based Macrotexture Analysis for Pavement Friction Prediction

Guangwei Yang,Qiang Joshua Li,You Jason Zhan,Kelvin C. P. Wang,Chaohui Wang 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.1

Pavement friction and texture characteristics are important aspects of road safety. Despite extensive studies conducted in the past decades, knowledge gaps still remain in understanding the relationship between pavement macrotexture and surface skid resistance. This paper implements discrete wavelet transform to decompose pavement surface macrotexture profile data into multi-scale characteristics and investigate their suitability for pavement friction prediction. Pavement macrotexture and friction data were both collected within the wheel-path from six High Friction Surface Treatment sites in Oklahoma using a high-speed profiler and a Grip Tester. The collected macrotexture profiles are decomposed into multiple wavelengths, and the total and relative energy components are calculated as indicators to represent macrotexture characteristics at various wavelengths. Correlation analysis is performed to examine the contribution of the energy indicators on pavement friction. The macrotexture energy within wavelengths from 0.97 mm to 3.86 mm contributes positively to pavement friction while that within wavelengths from 15.44 mm to 61.77 mm shows negative impacts. Subsequently, pavement friction prediction model is developed using multivariate linear regressive analysis incorporating the macrotexture energy indicators. Comparisons between predicted and monitored friction data demonstrates the robustness of the proposed friction prediction model.

Beyond Canonical PROTAC: Biological targeted protein degradation (bioTPD)

Huifang Wang,Runhua Zhou,Fushan Xu,Kongjun Yang,Liuhai Zheng,Pan Zhao,Guangwei Shi,Lingyun Dai,Chengchao Xu,Le Yu,Zhijie Li,Jianhong Wang,Jigang Wang 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Targeted protein degradation (TPD) is an emerging therapeutic strategy with the potential to modulate disease associated proteins that have previously been considered undruggable, by employing the host destructionmachinery. The exploration and discovery of cellular degradation pathways, including but not limited toproteasomes and lysosome pathways as well as their degraders, is an area of active research. Since the conceptof proteolysis-targeting chimeras (PROTACs) was introduced in 2001, the paradigm of TPD has been greatlyexpanded and moved from academia to industry for clinical translation, with small-molecule TPD being particularlyrepresented. As an indispensable part of TPD, biological TPD (bioTPD) technologies including peptide-, fusionprotein-, antibody-, nucleic acid-based bioTPD and others have also emerged and undergone significantadvancement in recent years, demonstrating unique and promising activities beyond those of conventional small molecule TPD. In this review, we provide an overview of recent advances in bioTPD technologies, summarize theircompositional features and potential applications, and briefly discuss their drawbacks. Moreover, we present somestrategies to improve the delivery efficacy of bioTPD, addressing their challenges in further clinical development.

Wear-life analysis of deep groove ball bearings based on Archard wear theory

Guangwei Yu,Wei Xia,Zhuoyuan Song,Rui Wu,Siling Wang,Yuan Yao 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.7

A quasi-dynamic method is proposed to evaluate the characteristics of ball bearings, which include pressure distribution over the contact area between the ball and the raceway, sliding velocity distribution, and lubrication parameters. The extent of permissible wear is confirmed based on the Archard wear equation. A mathematical model for wear-life analysis is then presented for 6000 deep groove ball bearings with axial loads. The effects of axial loads, rotating speed, and structural parameters on wear characteristics of bearings are analyzed. A number of conclusions are drawn. Based on the proposed mathematical model, the wear life of a bearing decreases with increased axial load. The wear life of the bearing decreases as the rotational speed of the inner ring increases. The wear life of the bearing exhibits nearly linear increment as the groove curvature of the inner ring increases and decreases as the groove curvature of the outer ring increases.

Laboratory and Field Performance Evaluation of Warm Mix Asphalt Incorporating RAP and RAS

Guangwei Yang,Kelvin Wang,Joshua Qiang Li,Matt Romero,Wenyao Liu 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.1

Pavement sustainability draws attention from different stakeholders in recent years. Warm mix asphalt (WMA) incorporating reclaimed asphalt pavement (RAP) or reclaimed asphalt shingles (RAS) has been widely recognized as a sustainable combo for pavement construction by conserving natural resources and reducing greenhouse gas emission. However, as their usage surges, little research has been conducted to date through a comprehensive laboratory and field evaluation to verify the performance of WMA incorporating RAP and RAS compared to traditional hot mix asphalt (HMA). In this research, five WMA sections with different WMA techniques and one control HMA section constructed in Oklahoma were continuously monitored for four years. The aggregate consensus, source, and gradation properties were tested in the laboratory. Mixture characteristics for lab-compacted samples including cracking resistance, rutting performance, moisture susceptibility, and water permeability were measured to compare WMA to HMA incorporating RAP and RAS. In addition, pavement surface conditions in terms of pavement cracking, rutting, roughness, texture, and friction were collected from the field site ten times in four years by using several state-of-the-art high-speed devices without traffic control. The laboratory and four-years field monitoring results demonstrate that WMA incorporating RAP and RAS accomplishes desired performance while providing sustainable benefits.

Evaluation of the performance of polymer gels mixed with asphalt particle as a novel composite profile control system

Guangwei Liu,Hanqiao Jiang,Junjian Li,Min Wang,Fuzhen Chen,Shuaiwei Ding,Xiangan Lu 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.26 No.-

This paper presents gels with asphalt particle (GAP) as a novel composite profile control system, which has better sealing effect for plugging channeling in fractured reservoir. This composite agent was prepared by modified asphalt particle and polymer gels served as suspension. Laboratory core–flood tests showed good injectiviy of GAP solution in high permeability zone with a high plugging rate. Also, the enhance oil recovery mechanism of GAP and polymer gels in fractured reservoir were compared by parallel core–flood test. Simulation results indicate longer response time and better enhance oil recovery for GAP than polymer gels in fractured system.

A Machine Learning Tool for Pavement Design and Analysis

Guangwei Yang,Kamyar C. Mahboub,Ryan L. Renfro,Clark Graves,Kelvin C. P. Wang 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.1

The AASHTOWare Pavement ME Design program is a pavement analysis tool, which is typically used for design purposes through an iterative trial-and-error process. To help the designer with a reasonable starting point in this iterative process, this paper introduces a machine learning method to embrace the recently updated models in AASHTOWare Pavement ME Design software for pavement design. A total number of 79,600 pavement design scenarios (55,800 for flexible pavements and 23,800 for rigid pavements) were performed using the AASHTOWare Pavement ME Design software to consider various design inputs, such as: design life, traffic volume, climate zone, thickness, and modulus of pavement layers. The inputs and outputs of these design scenarios were used to develop the multi-output Random Forests model to simultaneously predict multiple pavement distresses and thicknesses of pavement layers. The results indicate that the multi-output Random Forests model can accurately predict pavement distresses and thicknesses for asphalt and concrete pavements. This tool will simplify pavement design procedure based on the models in the AASHTOWare Pavement ME Design software.

PCSK9 regulates myocardial ischemia–reperfusion injury through parkin/pink1-mediated autophagy pathway

Huang Guangwei,Bao Hailong,Zhan Peng,Lu Xiyang,Duan Zonggang,Xiong Xinlin,Lin Muzhi,Wang Bing,An Hongxin,Xiahou Luanda,Zhou Haiyan,Luo Zhenhua,Li Wei 대한독성 유전단백체 학회 2024 Molecular & cellular toxicology Vol.20 No.2

Objectives This study aimed at investigating the role of the proprotein convertase subtilisin/Kexin type 9 (PCSK9)-mediated autophagy on myocardial ischemia/reperfusion injury (MIRI). To determine the relationship between autophagy, apoptosis, fibrosis, and inflammation in the myocardium, to provide experience in preventing and treating the myocardial ischemia/reperfusion (I/R) injury. Methods An AC16 hypoxia-reoxygenation model and a rat myocardial ischemia–reperfusion model were established. The concentrations of cardiac troponin T (cTnT) and creatine kinase-MB (CKMB) in plasma were measured by ELISA. To determine the size of the myocardial infarction, TTC/EB staining was performed. In addition to identifying pathological changes in myocardial tissue, Masson’s trichrome stains and H&E stains were used to identify pathological changes. Echocardiography was employed to detect cardiac function. Western blot analysis was then performed to detect the protein expression of Parkin, Pink1, and markers associated with autophagy (Beclin-1, p62, LC3). Results A significant increase in PCSK9 was observed in the myocardium during H/R. In the cardiac-specific PCSK9 knockdown model, cardiac autophagy was significantly inhibited, whereas cardiac-specific PCSK9 overexpression promoted cardiac autophagy. In vivo studies have demonstrated a significant decrease in cardiac autophagy when the PCSK9 inhibitor was administered. Apoptosis induced by I/R was greatly decreased, and myocardial infarction size and function were both improved by PCSK9 inhibitors. Mechanistically, the PCSK9 inhibitor improved the degree of myocardial fibrosis and inhibited the development of inflammation. Conclusions Our results demonstrated that increased PCSK9 via the parkin/pink1 signaling pathway contributes to I/R and H/R by exaggerating excessive autophagy during reperfusion/reoxygenation. In addition, the PCSK9 inhibitor blocked the development of inflammation and improved Infarct size, myocardial function, and myocardial fibrosis.

The Study of Services Management Based on the Network Environment

Xuemin Zhang,Zenggang Xiong,Guangwei Wang,Conghuan Ye,Fang Xu 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.5

Service-Oriented Architecture (SOA) constructs applications by publishing services in an open network environment. In network environment individual service changes highly dynamically, it is required the system based on services to adapt to this change. But the current service management in network environment doesn’t have a good, unified management mode, management mechanism, service and quality control system, and lacks of theoretical foundation to express formal service system. In this paper, a service management framework is designed. A mechanism and method based on strategy and dynamic network environment service management are proposed. The method can effectively solve the problem of dynamic service management in network environment, and is widely used in dynamic service management based on Web services.

Distinct growth phenomenon observed on L-Arg․ CF3COOH crystals

Xiaojing Liu,Zeyan Wang,Guanghui Zhang,Guangwei Yu,Aidong Duan,Xinqiang Wang,Dong Xu 한국물리학회 2009 Current Applied Physics Vol.9 No.1

Atomic force microscopy has been employed to study the growth behaviour on the {101} facets of L-Arg ․ CF3COOH crystals grown at 25℃ at a supersaturation of σ = 0.2. Nucleation on the wider step terraces and a large nucleus composed of two separate 2D nuclei were observed for the first time. For the region where blocking occurs convex pattern are found in the macrosteps, which correspond to the sites of the impurities that act as pinning points hindering step propagation. Finally, liquid inclusions will be generated because of disparate formation mechanisms. Atomic force microscopy has been employed to study the growth behaviour on the {101} facets of L-Arg ․ CF3COOH crystals grown at 25℃ at a supersaturation of σ = 0.2. Nucleation on the wider step terraces and a large nucleus composed of two separate 2D nuclei were observed for the first time. For the region where blocking occurs convex pattern are found in the macrosteps, which correspond to the sites of the impurities that act as pinning points hindering step propagation. Finally, liquid inclusions will be generated because of disparate formation mechanisms.

A deep and multiscale network for pavement crack detection based on function-specific modules

Allen A. Zhang,Guolong Wang,Kelvin C. P. Wang,Guangwei Yang 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.3

Using 3D asphalt pavement surface data, a deep and multiscale network named CrackNet-M is proposed in this paper for pixel-level crack detection for improvements in both accuracy and robustness. The CrackNet-M consists of four function-specific architectural modules: a central branch net (CBN), a crack map enhancement (CME) module, three pooling feature pyramids (PFP), and an output layer. The CBN maintains crack boundaries using no pooling reductions throughout all convolutional layers. The CME applies a pooling layer to enhance potential thin cracks for better continuity, consuming no data loss and attenuation when working jointly with CBN. The PFP modules implement direct down-sampling and pyramidal upsampling with multiscale contexts specifically for the detection of thick cracks and exclusion of non-crack patterns. Finally, the output layer is optimized with a skip layer supervision technique proposed to further improve the network performance. Compared with traditional supervisions, the skip layer supervision brings about not only significant performance gains with respect to both accuracy and robustness but a faster convergence rate. CrackNet-M was trained on a total of 2,500 pixel-wise annotated 3D pavement images and finely scaled with another 200 images with full considerations on accuracy and efficiency. CrackNet-M can potentially achieve crack detection in real-time with a processing speed of 40 ms/image. The experimental results on 500 testing images demonstrate that CrackNet-M can effectively detect both thick and thin cracks from various pavement surfaces with a high level of Precision (94.28%), Recall (93.89%), and F-measure (94.04%). In addition, the proposed CrackNet-M compares favorably to other well-developed networks with respect to the detection of thin cracks as well as the removal of shoulder drop-offs.