Engineering Property Evaluation and Multiobjective Parameter Optimization of Argillaceous Gangue–Filled Subgrade Based on Grey Relational Analysis
Publication: Journal of Materials in Civil Engineering
Volume 35, Issue 4
Abstract
Promoting the utilization of solid wastes such as mineral waste residue in highway engineering is a meaningful way to accelerate the development of green highway construction and to reduce environmental pollution caused by waste residue stacking. To comprehensively evaluate the engineering properties of waste argillaceous gangue–filled subgrade and recommend reasonable construction parameters, the effects of parameters such as moisture content, compaction work, and coarse grain content (CGC) on the engineering properties of waste argillaceous gangue were compared in this study. A multiobjective comprehensive evaluation model based on grey relational degree (GRD) and principal component analysis (PCA) was constructed, and the reliability of the model was verified. The results showed that the mechanical properties of argillaceous gangue are sensitive to various influencing factors. With increased coarse particle content, unconfined compressive strength (UCS) first increased and then decreased, while resilient modulus and California bearing ratio (CBR) gradually increased. The impact of compaction work on different mechanical properties was noticeable. When calculating the comprehensive GRD, the weights of UCS, CBR of unsoaked samples, CBR of soaked samples, and resilient modulus were 0.203, 0.318, 0.278, and 0.201, respectively. The comprehensive performance prediction model can be effectively applied to evaluate the correlation between technical parameters and engineering properties of argillaceous gangue, and the fitting degree reached 98.21%. The model provides a scientific basis for engineering design and construction parameter optimization of subgrade filled with waste argillaceous gangue.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This study was supported by Fundamental Research Funds for the Central Universities, Chang’an University (CHD) (Program No. 300102210705), Shaanxi Province Key Research & Development Plan (2021GY-206), Shaanxi Innovation Capability Support Plan (2022TD-07), Transportation Department Science and Technology Project in Xinjiang Uygur Autonomous Region of China (2019-ZD1-015), and Transportation Department Science and Technology Project in Ministry of Transport of the People’s Republic of China (2019-MS1-024). The sponsorship and interest are gratefully acknowledged.
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Journal of Materials in Civil Engineering
Volume 35 • Issue 4 • April 2023
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© 2023 American Society of Civil Engineers.
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Received: Mar 16, 2022
Accepted: Jul 11, 2022
Published online: Jan 18, 2023
Published in print: Apr 1, 2023
Discussion open until: Jun 18, 2023
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