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Author

Yang Zhang

Bio: Yang Zhang is an academic researcher. The author has contributed to research in topics: Quality assurance & Asphalt. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper , the relationship between texture and skid resistance was studied, based on the statistical geometric characteristics, spectral characteristics, fractal characteristics and the multifractal characteristics of pavement texture.
Abstract: To understand the research status of asphalt pavement texture, the related achievements and progress of pavement surface texture were systematically sorted out from three aspects: the characterization of pavement surface texture, the texture measurement and evaluation, and the relationship between texture and the skid resistance. Based on the statistical geometric characteristics, the spectral characteristics, the fractal characteristics and the multifractal characteristics, the characteristics of pavement texture were discussed. The test methods of pavement texture were divided into two categories: direct measurement methods and indirect measurement methods. The advantages and disadvantages of each measurement method were summarized. The effects of macro-texture and micro-texture on asphalt pavement were discussed, respectively. The relationship between texture and skid resistance was studied. This review shows that multifractal theory should be further studied from the aspect of road engineering. High-precision non-contact integrated detection technology should be further studied to meet the needs of complex testing environments. The method of finite element numerical simulation has potential for the analysis of pavement skid resistance. In addition, methods such as big data analysis, neural network, and deep learning should be studied to achieve the intelligent perception and management of the whole state of skid resistance prediction.

12 citations

Journal ArticleDOI
Tao Han, T. Moa, Zhou Fang, Yang Zhang, Chengjia Han 
TL;DR: Wang et al. as discussed by the authors proposed a BIM-IoT (Internet of things) integrated framework to provide a fundamental platform for advanced compaction quality monitoring and management, which can be used as a prototype of road infrastructure digital twin to achieve more intelligent and sustainable management of the entire construction process.

10 citations

Journal ArticleDOI
TL;DR: In this article , a more accurate intelligent compaction quality evaluation index is proposed, Acceleration Intelligent Compaction Value (AICV), based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy.
Abstract: Compaction Measurement Value (CMV) is the most widely used quality evaluation index for intelligent compaction. However, with the growth of compaction degree, CMV becomes less accurate due to increased reaction force from densified geomaterials. To solve this problem, this paper proposes a more accurate intelligent compaction quality evaluation index, acceleration intelligent compaction value (AICV). Based on field measurement data analysis, AICV turned out to be effective to elevate quality evaluation accuracy. Additionally, the singularities were detected by 3σ normal distribution in order to assess the uniformity of subgrade compaction quality. Based on the semivariogram analysis method of spatial statistics, CMV and AICV were analyzed for spatial correlation, and the influence range of intelligent compaction technology employed for subgrade was evaluated. The results from this study provide a basis for further research on precision control and uniformity analysis of intelligent compaction technology.

10 citations


Cited by
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Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed a model based on spatio-temporal dependency analysis to predict the wind speed of each wind turbine to obtain its residuals, which can extract the time correlation of the windspeed series.

8 citations

Journal ArticleDOI
TL;DR: In this paper , a systematic literature review of 182 papers on DT-in-construction works over the past 6 years is conducted to address the three perspectives of Industry 4.0 technologies, project management, and building lifecycle.
Abstract: With increasing interest in automatic and intelligent systems to enhance the building and construction industry, digital twins (DT) are gaining popularity as cost-effective solutions to meet stakeholder requirements. Comprising real-time multi-asset connectivity, simulation, and decision support functionalities, many recent studies have utilised Industry 4.0 technologies with DT systems to fulfil construction-specific applications. However, there is no comprehensive review to our knowledge, holistically examining the benefits of using DT as a platform from the angles of Industry 4.0 technologies, project management, and building lifecycle. To bridge this gap, a systematic literature review of 182 papers on DT-in-construction works over the past 6 years is conducted to address the three perspectives. In this review, a unified framework is first modelled to incorporate Industry 4.0 technologies within the DT structure. Next, a Six M methodology (comprising of Machine, Manpower, Material, Measurement, Milieu, and Method) based on Ishikawa’s Diagram with building lifecycle considerations is proposed to highlight the advantages of DT in ensuring successful construction projects. Lastly, through the identification of 11 future directions, this work aims to serve as a reference for both industry and academia towards the use of DT systems as a fundamental enabler to realise the Construction 4.0 paradigm.

7 citations

Journal ArticleDOI
TL;DR: In this paper , the use of digital twins and semantic web technologies for the intelligent control of building fire protection (BFP) systems in fire accidents is described, where a data fusion stage and several information-based control mechanisms are involved.

4 citations

Proceedings ArticleDOI
01 Nov 2018
TL;DR: The effectiveness test shows that the wind power time series generated by the proposed models show higher accuracy on the statistical characteristic, autocorrelation and crosscorrelation, compared with Copula model.
Abstract: As growing penetration of wind power integrated into power system, effective model is demanded to capture the characteristics of wind power not only in statistics but in time dependency and spatial dependency. This paper proposes a novel model that integrating pattern recognition and Markov Chain Monte Carlo (MCMC) method. In order to embody the correlated variation of daily wind power at different sites, typical scenarios are obtained by historical multiple wind power data and clustering algorithm. A single-variable MCMC model is then established to describe the scenarios transition process. Next, a multi-variable MCMC models are established to describe the correlation existed in the daily time series of multiple wind farms. The typical scenario Markov chain and daily wind power sequences for each typical scenario state are simulated successively and then generated a complete multiple wind power sequences. The effectiveness test shows that the wind power time series generated by the proposed models show higher accuracy on the statistical characteristic, autocorrelation and crosscorrelation, compared with Copula model.

4 citations

Journal ArticleDOI
TL;DR: In this article , a verifiable and reproducible systematic literature review and bibliometric analysis of associated topics is presented, which reveal the potential benefits of C4.0 on SD and contribute to the evaluation of sustainable C4-0 innovations.
Abstract: The construction industry utilizes a substantial number of resources, which has negative impacts on both environmental and socioeconomic aspects. Therefore, it is important to reduce these negative impacts and maintain sustainable development (SD). Recent studies suggest that integrating Industry 4.0 (also called Construction 4.0 (C4.0) in the construction industry) and SD may help address these concerns, which is a new and ever-evolving field. In order to fully understand SD in the C4.0 context, this paper offers a verifiable and reproducible systematic literature review and bibliometric analysis of associated topics. Through a review of 229 works, this article presents the publication trend, the most prolific journals, countries, institutions, researchers, and keywords analysis, as well as the content analysis of C4.0 impacts on SD based on triple-bottom-line (TBL) dimensions. The authors also identify and summarize the critical success factors (CSFs) of C4.0 toward SD. Overall, findings reveal the potential benefits of C4.0 on SD and contribute to the evaluation of sustainable C4.0 innovations. The key topics and CSFs identified in this work could potentially serve as the basis for future investigations, encouraging and directing interested researchers, and thus supporting both theoretical and practical progress in this evolving research area.

4 citations