Dynamic Response and Lightweight Design of Transparent Laminated Structures under Blast Loads

ZHU Xingming; LI Zhiqiang; ZHENG Shaoqiu; WANG Xinyue

doi:10.12382/bgxb.2025.1027

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Dynamic Response and Lightweight Design of Transparent Laminated Structures under Blast Loads

更新时间：2026-02-16

- Dynamic Response and Lightweight Design of Transparent Laminated Structures under Blast Loads
- Acta Armamentarii (2026)
- 作者机构：
  
  1. 太原理工大学航空航天学院,山西,太原,030024
  2. 材料强度与结构冲击山西省重点实验室,山西,太原,030024
  3. 山西省力学基础学科研究中心,山西,太原,030024
  4. 力学国家级实验教学示范中心,山西,太原,030024
- 作者简介：
- 基金信息：
- DOI：10.12382/bgxb.2025.1027
  CLC： O383
- Received：24 November 2025，
  
  Online First：16 February 2026，
- 稿件说明：
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朱星明，李志强，郑少秋，等. 爆炸载荷下透明夹层结构的动态响应与结构轻量化设计[J/OL]. 兵工学报, 2026(2026-02-16). https://doi.org/10.12382/bgxb.2025.1027.

ZHU X M, LI Z Q, ZHENG S Q, et al. Dynamic response and lightweight design of transparent laminated structures under blast loads[J/OL]. Acta Armamentarii, 2026(2026-02-16). https://doi.org/10.12382/bgxb.2025.1027. (in Chinese)
朱星明，李志强，郑少秋，等. 爆炸载荷下透明夹层结构的动态响应与结构轻量化设计[J/OL]. 兵工学报, 2026(2026-02-16). https://doi.org/10.12382/bgxb.2025.1027. DOI：

ZHU X M, LI Z Q, ZHENG S Q, et al. Dynamic response and lightweight design of transparent laminated structures under blast loads[J/OL]. Acta Armamentarii, 2026(2026-02-16). https://doi.org/10.12382/bgxb.2025.1027. (in Chinese) DOI：

摘要

透明夹层结构广泛应用于现代建筑和军事防护领域，研究其在爆炸载荷作用下的动态响应机理对于指导工程设计与提升结构安全性具有重要意义。本文采用实验与数值模拟相结合的方法，系统分析了不同爆炸载荷下透明夹层结构的破坏模式及各功能层厚度对抗爆性能的影响。通过实验与数值模拟结果对比，验证了有限元模型的准确性。随后开展大量数值模拟，拟合得到了爆炸距离、炸药量及各功能层厚度与结构最大挠度之间的无量纲关系曲线。此外，基于数值模拟结果建立了超压-冲量(P-I)曲线，用以界定结构在不同压力与冲量条件下的损伤界限，为抗爆结构设计提供了明确的指导依据。在此基础上，利用多种机器学习方法建立了中心挠度预测模型，并筛选出预测性能最优的模型，结合遗传算法，以最小质量和最小总厚度为目标进行了夹层结构的轻量化设计。主要结论如下：(1)透明夹层结构能够承受较大的爆炸载荷并保持稳定性，其损伤程度随爆炸载荷强度的增加而加剧，表现出三种典型破坏模式。(2)各功能层厚度对整体抗爆性能具有显著影响。在其他层厚度保持恒定的条件下，增加陶瓷层、无机玻璃层或聚碳酸酯（PC）层厚度，会导致陶瓷层和无机玻璃层损伤增加，但减小PC层的变形，从而整体提高结构的抗爆性能。(3)基于数值模拟所得的P-I曲线能够准确预测结构在不同压力和冲量条件下的损伤模式及安全阈值，为工程设计提供了直观有效的设计依据。(4)机器学习模型与遗传算法的结合，有效实现了透明夹层结构的轻量化设计，在保证抗爆性能的同时，显著降低了结构的质量与厚度。

Abstract

Transparent laminated structures are widely used in modern architecture and military protection. Investigating their dynamic response mechanisms under blast loads is of great significance for guiding engineering design and improving structural safety. In this study

a combined experimental and numerical simulation approach was adopted to systematically analyze the failure modes of transparent laminated structures under various blast loads

aswell as the effects of individual functional-layer thicknesses on blast resistance. The accuracy of the finite element model was validated by comparing experimental results with numerical simulations. Extensive numerical simulations were then conducted to establish dimensionless relationship curves between blast distance

explosive charge

functional-layer thickness

and the maximum deflection of the structure. Furthermore

pressure-impulse (P-I) curves were constructed based on the simulation results to define damage thresholds under different pressure and impulse conditions

providing clear guidance for blast-resistant structural design. On this basis

several machine learning methods were employed to develop predictive models for central deflection

and the optimal model was identified. Combined with a genetic algorithm

lightweight design of the laminated structure was achieved with minimum mass and total thickness as the optimization objectives. The main conclusions are as follows: (1) Transparent laminated structures can withstand significant blast loads while maintaining structural stability. The degree of damage increases with blast intensity

and three typical failure modes are observed. (2) The thickness of each functional-layer has a significant effect on the overall blast resistance. When other layer thicknesses remain constant

increasing the thickness of the ceramic

inorganic glass

orPolycarbonate(PC)layers leads to greater damage in the ceramic and inorganic glass layers

but reduces the deformation of the PC layer

thereby enhancing the overall blast resistance. (3) The P-I curves obtained from numerical simulations can accurately predict damage modes and safety thresholds under different pressure and impulse conditions

providing an intuitive and effective basis for engineering design. (4) The combination of machine learning models and genetic algorithms enables effective lightweight design of transparent laminated structures

significantly reducing mass and thickness while ensuring blast resistance.

关键词

Keywords

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