Spatiotemporal representation of internal fracture sources using dual-surface infrared radiation and particle swarm optimization algorithm

IF 5.6 2区工程技术 Q1 ENGINEERING, MECHANICAL

Theoretical and Applied Fracture Mechanics Pub Date : 2025-09-19 DOI:10.1016/j.tafmec.2025.105249

Longfei Chang , Yingjun Li , Dejian Li , Mingyuan Zhang , Weiting Du , Kai Cheng

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引用次数: 0

Abstract

For rock or rock-like materials, early warning information regarding the timing and location of failure is particularly crucial. Infrared monitoring technology is widely applied in temporal predictions of failure occurrence; however, research on the localization of failure positions remains inadequate. Consequently, undertaking research in this area holds substantial importance. This study employed 3D printing technology to fabricate samples containing pre-set three-dimensional flaws. Under uniaxial compression conditions, real-time monitoring of the infrared radiation (IR) intensity on two adjacent non-load-bearing surfaces of the samples was conducted. By integrating the Lambert-Beer Law with a particle swarm optimization (PSO) algorithm, a method for calculating the locations of internal fracture radiation sources on basis of the IR intensity was established. Additionally, the localization results of this method were compared and analyzed with those of acoustic emission (AE) localization. The research findings demonstrate that the established localization method can fully utilize IR data to obtain distribution maps of internal fracture radiation sources at different moments. The size and position of these radiation sources in the distribution maps reflect the locations and degrees of damage to the samples. Comparisons with AE localization and photoelastic stress analysis results further validate the feasibility and effectiveness of this method. Moreover, the computational results reveal the pattern of change in the calculated intensity of radiation sources over time: a significant and abnormal surge in radiation intensity occurs at the moment of sample failure. Therefore, this new method can provide both temporal and spatial early warning information for sample failure. This study not only establishes a novel method for calculating the location of sample failure but also offers a new direction for the application of infrared monitoring technology in the field of rock engineering research, which holds important theoretical and practical importance.

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基于双表面红外辐射和粒子群优化算法的内部裂缝源时空表征

对于岩石或类岩石材料来说，关于破裂时间和地点的早期预警信息尤为重要。红外监测技术广泛应用于故障发生的时间预测；然而，对失效位置定位的研究仍然不足。因此，开展这一领域的研究具有重要意义。本研究采用3D打印技术制造含有预先设定的三维缺陷的样品。在单轴压缩条件下，实时监测试样相邻两个非承重面上的红外辐射强度。将Lambert-Beer定律与粒子群优化（PSO）算法相结合，建立了一种基于红外强度计算裂缝内部辐射源位置的方法。并将该方法的定位结果与声发射定位结果进行了对比分析。研究结果表明，所建立的定位方法可以充分利用红外数据获取裂缝内部辐射源在不同时刻的分布图。这些辐射源在分布图中的大小和位置反映了样品受到损害的位置和程度。与声发射定位和光弹性应力分析结果的对比进一步验证了该方法的可行性和有效性。此外，计算结果揭示了计算辐射源强度随时间的变化规律：在样品失效时刻，辐射强度会出现显著的异常激增。因此，该方法可以同时提供样品失效的时空预警信息。本研究不仅建立了一种计算试样破坏位置的新方法，而且为红外监测技术在岩石工程研究领域的应用提供了新的方向，具有重要的理论和实际意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Theoretical and Applied Fracture Mechanics 工程技术-工程：机械

CiteScore

8.40

自引率

18.90%

发文量

435

审稿时长

37 days

期刊介绍： Theoretical and Applied Fracture Mechanics'' aims & scopes have been re-designed to cover both the theoretical, applied, and numerical aspects associated with those cracking related phenomena taking place, at a micro-, meso-, and macroscopic level, in materials/components/structures of any kind. The journal aims to cover the cracking/mechanical behaviour of materials/components/structures in those situations involving both time-independent and time-dependent system of external forces/moments (such as, for instance, quasi-static, impulsive, impact, blasting, creep, contact, and fatigue loading). Since, under the above circumstances, the mechanical behaviour of cracked materials/components/structures is also affected by the environmental conditions, the journal would consider also those theoretical/experimental research works investigating the effect of external variables such as, for instance, the effect of corrosive environments as well as of high/low-temperature.