Mr. You Zhou Profile

You Zhou

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 14 February 2024 Paper

Study on prediction of skid resistance of asphalt pavement based on genetic neural network

Quanlei Wang, Zhoucong Xu, Haonan Zhou, Jie Wu, You Zhou, Tianlong Chen

Proceedings Volume 13018, 130182V (2024) https://doi.org/10.1117/12.3024354

KEYWORDS: Neural networks, Genetic algorithms, Asphalt pavements, Statistical modeling, Data modeling, Evolutionary algorithms, Mathematical optimization

Read Abstract +

The prediction of skid resistance of asphalt pavement plays a pivotal role in formulating maintenance plans and determining maintenance schemes. At present, the typical intelligent algorithms such as the neural network and the genetic algorithm have seen extensive applications in the evaluation and prediction of pavement performance. The combination forecasting model can leverage the complementary advantages of the two, thereby enhancing the reliability of prediction. As a case study, this paper focuses on the prediction of pavement skid resistance for an expressway in Chongqing. The research establishes a pavement skid resistance forecasting model using a genetic neural network and compares it with the single neural network, genetic algorithm, and regression models. Through this comparative analysis, the study validates the applicability and reliability of the genetic neural network approach for predicting asphalt pavement skid resistance. The results demonstrate that the regression model exhibits a limited fitting degree for highly nonlinear problems, leading to noticeably lower prediction accuracy than the genetic algorithm or neural network algorithm. In contrast, the combination forecasting model significantly enhances prediction accuracy in comparison to a single neural network model or genetic algorithm. Notwithstanding, it is worth noting that the operational efficiency of the combination forecasting model is inferior to that of a single neural network model. Consequently, the genetic neural network combination forecasting model proves more suitable for pavement skid resistance prediction, and nevertheless, there is room for further improvement in the operational efficiency of the model.

Proceedings Article | 22 December 2022 Paper

Research on the pavement performance of high-ash composite modified rock asphalt mixture

Quanlei Wang, Zhoucong Xu, Jie Wu, Fei Chen, You Zhou, Haifeng Zhang

Proceedings Volume 12460, 124601Y (2022) https://doi.org/10.1117/12.2658690

KEYWORDS: Resistance, Composites, Minerals, Safety, Roads, Particles, Abrasives, Surface finishing, Shape memory alloys, Protactinium

Read Abstract +

With the ever-increasing highway transport volume and the transportation development towards the heavy-duty direction, pavement rutting, which has become one of the main highway pavement diseases, is increasingly serious and generates a strong impact the traffic safety. The main method currently used to handle pavement rutting is pavement overlay by means of pavement milling and repaving. When this method is used, however, the road needs to be closed to traffic, accompanied by complex construction technologies and a high engineering cost. How to enhance the rutting resistance of asphalt concrete and reduce the later-stage curing cost is a great difficulty faced by asphalt pavement engineering technicians at present. In this study, a high-ash composite modified rock asphalt mixture was prepared and evaluated, followed by the rutting test, immersion Marshall test, freeze-thaw splitting test, and low-temperature bending test. The results showed that the composite modification of common asphalt using natural Buton Rock Asphalt (BRA) could effectively improve the high-temperature performance, low-temperature performance, and resistance to water damage of pavements, especially showing evident advantages in rutting resistance.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years