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基于堆扭吸能的防冲支架顶梁吸能特性仿真.

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Title: 基于堆扭吸能的防冲支架顶梁吸能特性仿真.
Alternate Title: Simulation of energy-absorbing characteristics of top beam of a shock-absorbing brace based on heap-torsion energy-absorption.
Authors: 田立勇1 tianliyong@lntu.edu.cn, 张体霖1, 于晓涵1, 王 泽1, 张海建1
Source: Coal Science & Technology (0253-2336). Jun2026, Vol. 54 Issue 6, p348-362. 15p.
Subject Terms: *Structural optimization, *Finite element method, *Materials testing, *Structural failures, *Energy dissipation
Abstract (English): In order to enhance the anti-burst support capability of anti-burst props, an energy-absorbing structure for the top beam of antiburst props based on a stack-twist energy-absorbing component is proposed. Based on the thin-shell model theory, the energy dissipation pathway of the heap torsion absorber in the axial collapse process is analyzed, derive the energy dissipation equations for four structural parameters of the stack-twist energy-absorbing component: the number of edges n, the radius of the circumscribed circle R, the thickness t, and the torsional angle θ, and define the initial peak resistance, the average resistance during crushing, the energy absorbed, and the specific energy absorbed as evaluation metrics for the energy absorption characteristics; Abaqus software is used to simulate and analyze the effects of the four structural parameters on the energy-absorbing characteristics of the heap torsion absorber in the case of axial collapse; and the multi-objective optimization of the heap torsion absorber is carried out with the combination of the optimal Latin hypercubic method, the radial basis function method, and NSGA-Ⅲ genetic algorithm, which is used to optimize the heap torsion absorber and to improve its performance. Combining the optimal Latin hypercube method and the radial basis function method and NSGA-Ⅲ genetic algorithm to optimize the heap torsion absorber, the optimal structure of the heap torsion absorber with the number of edges of 5, the torsion angle of 46.893o, and the thickness of 2.279 mm is solved; Assembling a pile-twist energy absorber crushing test rig, constructing the heap torsion absorber solid model in conjunction with the engineering practice, and conducting the axial collapse experiments of the heap torsion absorber with the quasistatic compression method, and the results show that: the force-displacement curve fluctuation of the pile torsion absorber obtained through simulation and test is basically the same, and the peak error of the initial support reaction force is 6.64%; based on the results of parameter optimization, a three-dimensional model of the top beam energy-absorbing module is established, and the energyabsorbing performance of the energy-absorbing module is investigated by simulation in axial direction, partial load and offset under three kinds of working conditions. The results show that the optimized roof beam energy-absorbing module has a stable deformation pattern under three different impact loads, namely axial, offset load and offset, and the fluctuation amplitude of the force-displacement curve is small and the energy-absorbing effect is significant, and it has the ability of resisting off-load in the process of yielding energy-absorbing, which can provide a reference for the design of the roof beam energy-absorbing. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 为提升防冲支架防冲支护能力, 提出一种基于堆扭吸能构件的防冲支架顶梁吸能结构。基于 薄壳模型理论解析出堆扭吸能器在轴向压溃过程中的能量耗散途径, 推导出堆扭吸能器边数 n 、外切 圆半径 R 、厚度 t 和扭转角度 θ 四种结构参数的能量耗散方程, 并定义初始阻力峰值、压溃平均阻力、 吸能量和比吸能为吸能特性评价指标; 使用 Abaqus 软件仿真并分析轴向压溃情况下 4 种结构参数对 堆扭吸能器吸能特性的影响; 结合最优拉丁超立方方法、径向基函数方法和 NSGA—Ⅲ遗传算法对 堆扭吸能器进行多目标优化, 求解出边数为 5, 扭转角为 46.893°, 厚度为 2.279 mm 的堆扭吸能器为 最优结构; 搭建堆扭吸能器压溃试验台, 结合工程实际构建堆扭吸能器实体模型, 以准静态压缩方 式对堆扭吸能器进行轴向压溃试验, 结果表明: 堆扭吸能器通过仿真和试验得到的载荷−位移曲线波 动基本一致, 初始支反力峰值误差为 6.64% ;基于堆扭吸能构件参数优化结果, 建立顶梁吸能结构 三维模型, 通过仿真研究吸能结构在轴向、偏转和偏移 3 种工况条件下的吸能性能。结果表明, 参 数优化后的顶梁吸能结构在受到轴向、偏转和偏移 3 种不同的冲击载荷时变形模式稳定, 载荷−位移 曲线波动幅值较小且吸能效果显著, 在让位吸能过程中具有抗偏载能力, 可为顶梁吸能的结构设计 提供参考。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 194880213
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: 基于堆扭吸能的防冲支架顶梁吸能特性仿真.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: Simulation of energy-absorbing characteristics of top beam of a shock-absorbing brace based on heap-torsion energy-absorption.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22田立勇%22">田立勇</searchLink><relatesTo>1</relatesTo><i> tianliyong@lntu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22张体霖%22">张体霖</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22于晓涵%22">于晓涵</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22王+泽%22">王 泽</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22张海建%22">张海建</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Coal+Science+%26+Technology+%280253-2336%29%22">Coal Science & Technology (0253-2336)</searchLink>. Jun2026, Vol. 54 Issue 6, p348-362. 15p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Structural+optimization%22">Structural optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br />*<searchLink fieldCode="DE" term="%22Materials+testing%22">Materials testing</searchLink><br />*<searchLink fieldCode="DE" term="%22Structural+failures%22">Structural failures</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+dissipation%22">Energy dissipation</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: In order to enhance the anti-burst support capability of anti-burst props, an energy-absorbing structure for the top beam of antiburst props based on a stack-twist energy-absorbing component is proposed. Based on the thin-shell model theory, the energy dissipation pathway of the heap torsion absorber in the axial collapse process is analyzed, derive the energy dissipation equations for four structural parameters of the stack-twist energy-absorbing component: the number of edges n, the radius of the circumscribed circle R, the thickness t, and the torsional angle θ, and define the initial peak resistance, the average resistance during crushing, the energy absorbed, and the specific energy absorbed as evaluation metrics for the energy absorption characteristics; Abaqus software is used to simulate and analyze the effects of the four structural parameters on the energy-absorbing characteristics of the heap torsion absorber in the case of axial collapse; and the multi-objective optimization of the heap torsion absorber is carried out with the combination of the optimal Latin hypercubic method, the radial basis function method, and NSGA-Ⅲ genetic algorithm, which is used to optimize the heap torsion absorber and to improve its performance. Combining the optimal Latin hypercube method and the radial basis function method and NSGA-Ⅲ genetic algorithm to optimize the heap torsion absorber, the optimal structure of the heap torsion absorber with the number of edges of 5, the torsion angle of 46.893o, and the thickness of 2.279 mm is solved; Assembling a pile-twist energy absorber crushing test rig, constructing the heap torsion absorber solid model in conjunction with the engineering practice, and conducting the axial collapse experiments of the heap torsion absorber with the quasistatic compression method, and the results show that: the force-displacement curve fluctuation of the pile torsion absorber obtained through simulation and test is basically the same, and the peak error of the initial support reaction force is 6.64%; based on the results of parameter optimization, a three-dimensional model of the top beam energy-absorbing module is established, and the energyabsorbing performance of the energy-absorbing module is investigated by simulation in axial direction, partial load and offset under three kinds of working conditions. The results show that the optimized roof beam energy-absorbing module has a stable deformation pattern under three different impact loads, namely axial, offset load and offset, and the fluctuation amplitude of the force-displacement curve is small and the energy-absorbing effect is significant, and it has the ability of resisting off-load in the process of yielding energy-absorbing, which can provide a reference for the design of the roof beam energy-absorbing. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 为提升防冲支架防冲支护能力, 提出一种基于堆扭吸能构件的防冲支架顶梁吸能结构。基于 薄壳模型理论解析出堆扭吸能器在轴向压溃过程中的能量耗散途径, 推导出堆扭吸能器边数 n 、外切 圆半径 R 、厚度 t 和扭转角度 θ 四种结构参数的能量耗散方程, 并定义初始阻力峰值、压溃平均阻力、 吸能量和比吸能为吸能特性评价指标; 使用 Abaqus 软件仿真并分析轴向压溃情况下 4 种结构参数对 堆扭吸能器吸能特性的影响; 结合最优拉丁超立方方法、径向基函数方法和 NSGA—Ⅲ遗传算法对 堆扭吸能器进行多目标优化, 求解出边数为 5, 扭转角为 46.893°, 厚度为 2.279 mm 的堆扭吸能器为 最优结构; 搭建堆扭吸能器压溃试验台, 结合工程实际构建堆扭吸能器实体模型, 以准静态压缩方 式对堆扭吸能器进行轴向压溃试验, 结果表明: 堆扭吸能器通过仿真和试验得到的载荷−位移曲线波 动基本一致, 初始支反力峰值误差为 6.64% ;基于堆扭吸能构件参数优化结果, 建立顶梁吸能结构 三维模型, 通过仿真研究吸能结构在轴向、偏转和偏移 3 种工况条件下的吸能性能。结果表明, 参 数优化后的顶梁吸能结构在受到轴向、偏转和偏移 3 种不同的冲击载荷时变形模式稳定, 载荷−位移 曲线波动幅值较小且吸能效果显著, 在让位吸能过程中具有抗偏载能力, 可为顶梁吸能的结构设计 提供参考。 [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.12438/cst.2025-1012
    Languages:
      – Code: chi
        Text: Chinese
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 348
    Subjects:
      – SubjectFull: Structural optimization
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Materials testing
        Type: general
      – SubjectFull: Structural failures
        Type: general
      – SubjectFull: Energy dissipation
        Type: general
    Titles:
      – TitleFull: 基于堆扭吸能的防冲支架顶梁吸能特性仿真.
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            NameFull: 田立勇
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            NameFull: 张体霖
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            NameFull: 于晓涵
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            NameFull: 王 泽
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            NameFull: 张海建
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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            – TitleFull: Coal Science & Technology (0253-2336)
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