WO2022083786A3 - Method for rapid prediction of dynamic modulus of resilience of graded crushed stone considering particle crushing - Google Patents

Method for rapid prediction of dynamic modulus of resilience of graded crushed stone considering particle crushing Download PDF

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Publication number
WO2022083786A3
WO2022083786A3 PCT/CN2021/131843 CN2021131843W WO2022083786A3 WO 2022083786 A3 WO2022083786 A3 WO 2022083786A3 CN 2021131843 W CN2021131843 W CN 2021131843W WO 2022083786 A3 WO2022083786 A3 WO 2022083786A3
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Prior art keywords
crushed stone
resilience
graded crushed
dynamic
graded
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PCT/CN2021/131843
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French (fr)
Chinese (zh)
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WO2022083786A2 (en
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张军辉
李崛
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长沙理工大学
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Publication of WO2022083786A2 publication Critical patent/WO2022083786A2/en
Priority to ZA2022/05160A priority Critical patent/ZA202205160B/en
Publication of WO2022083786A3 publication Critical patent/WO2022083786A3/en

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Pathology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

A method for rapid prediction of the dynamic modulus of resilience of graded crushed stone considering particle crushing, the method specifically being: determining physical property parameters of a plurality of groups of graded crushed stone under different grade, different degree of compaction, and different water content conditions; on the basis of dynamic triaxial testing, respectively measuring the dynamic moduli of resilience of the plurality of groups of graded crushed stone, using a three-parameter model to perform prediction, and on the basis of the dynamic moduli of resilience of each group of graded crushed stone obtained in the dynamic triaxial testing, fitting the three-parameter model to obtain model fitting coefficients k1, k2 and k3; and determining contribution ratios of all physical property parameters of each group of graded crushed stone to the fitting parameters k1, k2 and k3 of the three-parameter model, and using a stepwise multiple regression analysis method to determine the correlation between the fitting parameters k1-k3 of the model and each physical property parameter, and thus obtain a rapid prediction formula. The present invention is able to conveniently and accurately obtain dynamic moduli of resilience of graded broken stone, allowing the design and construction of graded crushed stone in road surface structures to be scientifically guided, and guaranteeing engineering quality.
PCT/CN2021/131843 2021-06-28 2021-11-19 Method for rapid prediction of dynamic modulus of resilience of graded crushed stone considering particle crushing WO2022083786A2 (en)

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Application Number Priority Date Filing Date Title
ZA2022/05160A ZA202205160B (en) 2021-06-28 2022-05-10 Method for rapid prediction of dynamic modulus of resilience of graded crushed stone considering particle crushin

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CN202110718017.0A CN113405907B (en) 2021-06-28 2021-06-28 Method for quickly predicting dynamic resilience modulus of graded crushed stone considering particle crushing
CN202110718017.0 2021-06-28

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WO2022083786A2 WO2022083786A2 (en) 2022-04-28
WO2022083786A3 true WO2022083786A3 (en) 2022-06-16

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WO (1) WO2022083786A2 (en)
ZA (1) ZA202205160B (en)

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Publication number Priority date Publication date Assignee Title
CN113405907B (en) * 2021-06-28 2022-03-22 长沙理工大学 Method for quickly predicting dynamic resilience modulus of graded crushed stone considering particle crushing
CN114166628B (en) * 2021-11-24 2024-03-15 湖北工程学院 Method for determining relative crushing rate of calcareous sand under different stress paths
CN114002093B (en) * 2021-12-27 2022-04-05 山东省交通科学研究院 Method for determining resilience modulus of pavement aggregate layer material in real time
CN114720327B (en) * 2022-03-08 2023-08-29 山东高速济青中线公路有限公司 Evaluation method for evaluating detection reliability of stone-containing roadbed sand filling method
CN115845991B (en) * 2022-12-06 2024-06-11 昆明理工大学 Method for predicting semi-self-grinding stubborn stone crushing effect and determining steel ball grading based on Tavares crushing model
CN116008077A (en) * 2023-01-06 2023-04-25 长沙理工大学 Stable grading determination method of construction waste reclaimed materials in roadbed application scene

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CN106323779A (en) * 2016-09-22 2017-01-11 长沙理工大学 Roadbed soil dynamic resilience modulus estimation method
CN108052690A (en) * 2017-11-02 2018-05-18 同济大学 A kind of crushed stone soil layer discrete element simulation method for considering grain shape randomness
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Title
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"A thesis submitted in partial satisfaction of the requirements for the degree of Master of Engineering in Roadway and Railway engineering in Changsha University of Science & Technology ", 1 April 2017, CHANGSHA UNIVERSITY OF SCIENCE & TECHNOLOGY , CN, article ZHANG JIANQIAO: "The Research on Skid Resistance Performance of Asphalt Mixture", pages: 1 - 109, XP055940166 *
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CN113405907A (en) 2021-09-17
ZA202205160B (en) 2022-08-31
CN113405907B (en) 2022-03-22
WO2022083786A2 (en) 2022-04-28

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