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The strength of an adhesive contact in the presence of interfacial defects 存在界面缺陷时的粘合接触强度
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-10-05 DOI: 10.1016/j.eml.2024.102238
Coby K. Jones , Jamie L. Hale , Helen K. Minsky , Jamie A. Booth
Adhesive contacts which possess a dominant stress concentration, such as at the contact edge in spherical junctions or at the detachment front in a peeling film, are well studied. More complex adhesive junction geometries, such as mushroom-shaped fibrils in bioinspired micropatterned dry adhesives, have exhibited a complex dependence of adhesive strength on the presence of interfacial defects within the contact. This has led to the emergence of statistical variation of the local behavior among micropatterned sub-contacts. In order to examine the interplay between geometry and interfacial defect character in control of the adhesive strength, the model system of a stiff cylindrical probe on an elastic layer is examined. Both experiments (glass on PDMS) and cohesive zone finite element simulations are performed, with analytical asymptotic limits also considered. The thickness of the elastic layer is varied to alter the interfacial stress distribution, with thinner layers having a reduced edge stress concentration at the expense of increased stress at the contact center. The size and position of manufactured interfacial defects is varied. It is observed that for the thickest substrates the edge stress concentration is dominant, with detachment propagating from this region regardless of the presence of an interfacial defect within the contact. Only very large center defects, with radius greater than half of that of the contact influence the adhesive strength. This transition is in agreement with analytical asymptotic limits. As the substrate is made thinner and the stress distribution changes, a strong decay in adhesive strength with increasing center defect radius emerges. For the thinnest substrate the flaw-insensitive upper bound is approached, suggesting that this decay is dominated by a reduction in the contact area. For penny-shaped defects at increasing radial positions, the adhesive strength for the thinnest substrates becomes non-monotonic. This confirms an intricate interplay between the geometry-controlled interfacial stress distribution and the size and position of interfacial defects in adhesive contacts, which will lead to statistical variation in strength when defects form due to surface roughness, fabrication imperfections, or contaminant particles.
对具有主要应力集中的粘合接触(如球形接合点的接触边缘或剥离薄膜的剥离前沿)进行了深入研究。更复杂的粘合剂接合几何形状,如生物微图案干粘合剂中的蘑菇状纤维,则显示出粘合强度与接触内界面缺陷存在的复杂关系。这导致微图案子接触之间的局部行为出现统计变化。为了研究几何形状和界面缺陷特性在控制粘合强度方面的相互作用,我们对弹性层上的刚性圆柱探针模型系统进行了研究。实验(PDMS 上的玻璃)和内聚区有限元模拟均已进行,同时还考虑了分析渐近极限。改变弹性层的厚度可改变界面应力分布,较薄的弹性层可减少边缘应力集中,但会增加接触中心的应力。制造的界面缺陷的大小和位置也有变化。观察发现,对于最厚的基底,边缘应力集中占主导地位,无论接触内部是否存在界面缺陷,脱离都会从这一区域传播。只有半径大于接触半径一半的超大中心缺陷才会影响粘合强度。这种转变与分析渐近极限一致。随着基底变薄和应力分布的变化,中心缺陷半径增大时粘合强度会出现强烈衰减。对于最薄的基板,缺陷敏感上限已经接近,这表明这种衰减主要是由接触面积的减少引起的。对于径向位置不断增大的便士形缺陷,最薄基板的粘合强度变得不单调。这证实了由几何形状控制的界面应力分布与粘合接触中界面缺陷的大小和位置之间错综复杂的相互作用,当缺陷因表面粗糙度、制造缺陷或污染物颗粒而形成时,将导致强度的统计变化。
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引用次数: 0
Tunable bandgaps in an elastic meta-plate with shape memory alloy springs 带形状记忆合金弹簧的弹性元板中的可调带隙
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-10-03 DOI: 10.1016/j.eml.2024.102240
Bingfei Liu , Ping Chen , Tong Zhu , Yan-Feng Wang
In this paper, a tunable metamaterial based on shape memory alloy springs is designed, which can achieve bandgap tuning by spring's unique shape memory effect. The variation mechanism of shear modulus and geometrical parameters of shape memory alloy springs is investigated by considering a detailed phase transition mechanism. For any specific temperatures, the energy band structure and frequency response spectrum of the metamaterial are calculated by numerical simulation. And the theoretical prediction models of bandgap boundary frequency and tuning range at different temperatures are established. The experimental test of vibration transmission of metamaterial is finally presented. The results show that (1) By varying the spring's shear modulus and height, the metamaterial exhibits excellent vibration isolation characteristics and bandgap tuning in low-frequency range of 124–226Hz. (2) The bandgap boundaries and tuning ranges can be predicted by the theoretical prediction model, which shows good agreement with both the simulation results and the experimental data. (3) By artificially designing shape memory alloy springs with larger shear modulus and wire radius, smaller helix radius and number of turns, the bandgap moves to higher frequencies. The current work can provide a reference for further engineering applications with the tunable elastic/acoustic metamaterials.
本文设计了一种基于形状记忆合金弹簧的可调谐超材料,利用弹簧独特的形状记忆效应实现带隙调谐。通过考虑详细的相变机制,研究了形状记忆合金弹簧的剪切模量和几何参数的变化机制。通过数值模拟计算了超材料在任意特定温度下的能带结构和频响谱。并建立了不同温度下带隙边界频率和调谐范围的理论预测模型。最后对超材料的振动传输进行了实验测试。结果表明:(1)通过改变弹簧的剪切模量和高度,超材料在 124-226Hz 的低频范围内表现出优异的隔振特性和带隙调谐能力。(2)带隙边界和调谐范围可通过理论预测模型进行预测,该模型与模拟结果和实验数据均显示出良好的一致性。(3) 通过人为设计剪切模量和线半径较大、螺旋半径和圈数较小的形状记忆合金弹簧,带隙向更高频率移动。目前的工作可为可调谐弹性/声学超材料的进一步工程应用提供参考。
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引用次数: 0
Recent advances in the integration of protein mechanics and machine learning 蛋白质力学与机器学习相结合的最新进展
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-20 DOI: 10.1016/j.eml.2024.102236
Yen-Lin Chen , Shu-Wei Chang
Mechanics underlies protein properties and behavior. From a theoretical standpoint, it is possible to derive these based on physical rules. This is appealing because they provide insights into physiology and disease, as well as aid in protein engineering; however, the convoluted nature of the biological system and current computational speeds limit its feasibility. Machine learning (ML) architectures are known for their ability to make inferences on complex data, such as the relationship between protein mechanics, properties, and behavior. Substantial efforts have been made to learn such correlations in tasks such as the prediction of structure, stability, natural frequency, mechanical strength, folding rate, solubility, and function. Each of these properties is interconnected through protein mechanics, and it is not surprising that the methods used in these tasks overlap highly in model input and architecture. In this review, we evaluate ML methods for the seven aforementioned prediction tasks to identify current trends in ML research in the field of protein sciences, focusing on the input and model architecture of each method. A short overview of de novo protein design is also provided. Finally, we highlight trends in the application of ML methods in the field of protein science, as well as directions for future improvements.
力学是蛋白质特性和行为的基础。从理论角度看,可以根据物理规则推导出这些特性和行为。然而,生物系统的复杂性和当前的计算速度限制了其可行性。机器学习(ML)架构以其对复杂数据(如蛋白质力学、特性和行为之间的关系)进行推断的能力而著称。在预测结构、稳定性、固有频率、机械强度、折叠率、溶解度和功能等任务中,人们为学习这些相关性做出了巨大努力。这些特性中的每一个都通过蛋白质力学相互关联,因此这些任务中使用的方法在模型输入和结构上高度重叠也就不足为奇了。在这篇综述中,我们将评估上述七种预测任务的 ML 方法,以确定当前蛋白质科学领域的 ML 研究趋势,重点关注每种方法的输入和模型架构。此外,我们还简要介绍了全新蛋白质设计。最后,我们强调了蛋白质科学领域应用 ML 方法的趋势以及未来改进的方向。
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引用次数: 0
Problem-independent machine learning-enhanced structural topology optimization of complex design domains based on isoparametric elements 基于等参数元素的复杂设计域结构拓扑优化--与问题无关的机器学习增强型结构拓扑优化
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-20 DOI: 10.1016/j.eml.2024.102237
Linfeng Zhang, Mengcheng Huang, Chang Liu, Zongliang Du, Tianchen Cui, Xu Guo
Topology optimization requires dozens or even hundreds of iterations, each requiring a complete finite element analysis (FEA). Significant computation cost limits the application of topology optimization in engineering, especially for high-resolution problems containing complex design domains. To address the issue, a Problem-Independent Machine Learning (PIML) model based on isoparametric elements is proposed. Effectively reducing the computational time of FEA, the proposed model enables efficient topology optimization and extends the solvable problem range to complex design domains. The essential idea is leveraging the substructure method and establishing a mapping from element shapes and material distribution within the substructure to its numerical shape functions through machine learning models. Both sample generation and model training are conducted offline, allowing the trained machine learning model to be directly employed during the topology optimization process. Since the shape function of the substructure is problem-independent, it requires no sample regeneration or modification of the proposed machine learning model when changing the geometry or boundary conditions of the optimization problem. Numerical examples demonstrate that the proposed machine learning model boosts the efficiency of topology optimization by one order of magnitude without parallel techniques.
拓扑优化需要数十次甚至数百次迭代,每次迭代都需要进行完整的有限元分析(FEA)。巨大的计算成本限制了拓扑优化在工程中的应用,尤其是对于包含复杂设计域的高分辨率问题。为了解决这个问题,我们提出了一种基于等参数元素的与问题无关的机器学习(PIML)模型。该模型可有效减少有限元分析的计算时间,实现高效拓扑优化,并将可解决的问题范围扩展到复杂设计领域。其基本思想是利用子结构方法,并通过机器学习模型建立子结构内元素形状和材料分布与其数值形状函数的映射关系。样本生成和模型训练都是离线进行的,这样就可以在拓扑优化过程中直接使用训练好的机器学习模型。由于子结构的形状函数与问题无关,因此在改变优化问题的几何形状或边界条件时,无需重新生成样本或修改所提出的机器学习模型。数值实例表明,在没有并行技术的情况下,所提出的机器学习模型能将拓扑优化的效率提高一个数量级。
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引用次数: 0
A hyperelastic beam model for the photo-induced response of nematic liquid crystal elastomers 向列液晶弹性体光诱导响应的超弹性梁模型
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-19 DOI: 10.1016/j.eml.2024.102233
Farzam Dadgar-Rad , Mohammad Mehdi Mahjoub , Mokarram Hossain

Liquid crystal elastomers (LCEs) are a novel class of materials created by combining polymeric solids with stiff, rod-like molecules known as nematic mesogens. These materials exhibit large, reversible deformations under mechanical, thermal, and optical stimuli. In this work, we develop a nonlinear beam formulation for analyzing the finite elastic deformation of beam-like structures made of LCEs under photo-actuation. This formulation applies to ideal, non-ideal, isotropic genesis, and nematic genesis LCEs. We establish the variational form of the problem based on the principle of virtual work. To solve numerical examples, we also develop a nonlinear finite element formulation based on B-spline functions. Several numerical examples are presented to demonstrate the applicability of the proposed formulation.

液晶弹性体(LCE)是一类新型材料,它是通过将聚合物固体与被称为向列介质的刚性杆状分子相结合而产生的。这些材料在机械、热和光学刺激下表现出巨大的可逆变形。在这项研究中,我们开发了一种非线性梁公式,用于分析由 LCE 构成的梁状结构在光致活作用下的有限弹性变形。该公式适用于理想、非理想、各向同性成因和向列成因 LCE。我们根据虚功原理建立了问题的变分形式。为了解决数值示例,我们还开发了基于 B-样条函数的非线性有限元公式。我们给出了几个数值示例,以证明所提公式的适用性。
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引用次数: 0
Inverse design of phononic topological pumping in continuous solids 连续固体中声波拓扑泵的逆设计
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-13 DOI: 10.1016/j.eml.2024.102231
Jiachen Luo, Harold S. Park
Topological insulators have been widely studied for their unique properties, particularly their ability to propagate energy with minimal losses in a manner that is robust to structural defects. More recently, topological pumping, which provides a mechanism to transport energy from one location to another in a structure without the need for direct coupling between the locations, has emerged as a phenomena of interest. However, previous studies on topological pumping of phonons have been performed without developing an understanding of how the efficiency of the pumping, as well as control over the pumping pathway in continuous solids, can be systematically controlled. Therefore, in this work we introduce a novel framework for the inverse design of continuous structures that can exhibit topological pumping of phonons, that is based on two key steps: (I) shape design of unit cells that not only exhibit topologically non-trivial edge states, but whose edge states span a wide range of phase values and wavenumbers at the excitation frequency to achieve a robust pumping effect; (II) optimizing the functional form to enable nonlinear modulation of the phase, which enables control both over the pumping path, and also the efficiency of the energy transport along the desired pumping pathway. Using this approach, we are able to establish connections between the dynamical properties of the unit cell, and various properties that impact the pumping efficiency, including the bandgap width, wavevector range, unit cell truncation, and the path of the phase modulation. We further demonstrate the ability to perform pumping for both out-of-plane and in-plane elastic waves, as well as for quantum valley Hall-based topological insulators.
拓扑绝缘体因其独特的性质而被广泛研究,特别是它们能够以最小的损耗传播能量,而且不受结构缺陷的影响。最近,拓扑抽运成为人们关注的一种现象,它提供了一种将能量从结构中的一个位置传输到另一个位置的机制,而无需两个位置之间的直接耦合。然而,以往对声子拓扑抽运的研究并没有深入了解如何系统控制连续固体中的抽运效率和抽运路径。因此,在这项工作中,我们引入了一个新的框架,基于两个关键步骤来反向设计能表现出声子拓扑抽运的连续结构:(I) 单元尺寸的形状设计不仅要表现出拓扑非琐碎边缘态,而且其边缘态要跨越激励频率下宽范围的相位值和波数,以实现稳健的泵浦效应;(II) 优化函数形式,实现相位的非线性调制,从而控制泵浦路径,以及所需泵浦路径上的能量传输效率。利用这种方法,我们能够在单位晶胞的动态特性和影响泵浦效率的各种特性(包括带隙宽度、波矢范围、单位晶胞截断和相位调制路径)之间建立联系。我们进一步证明了对平面外和平面内弹性波以及基于量子谷霍尔的拓扑绝缘体进行抽运的能力。
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引用次数: 0
Adaptive bioinspired morphing surface using temperature-responsive elastomer-SMA composites 使用温度响应弹性体-SMA 复合材料的自适应生物启发变形表面
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-13 DOI: 10.1016/j.eml.2024.102235
Manuel J. Carvajal Loaiza , Oscar I. Ojeda , Vanessa Restrepo

The pursuit of "smart" materials, drawing inspiration from biological organisms, has been a significant focal point in the realm of material science and engineering. Shape memory materials, notably Shape Memory Alloys (SMAs), have emerged as promising platforms for the development of adaptive and responsive materials that undergo transformations in response to environmental stimuli. This article explores the creation of a bioinspired morphing surface that capitalizes on the innovative amalgamation of Ecoflex and Nitinol (NiTi) wires. Inspired by biological mechanisms, this morphing surface exemplifies remarkable adaptability, seamlessly transitioning from 2D to 3D shapes with precision. A detailed mechanical characterization underscores pivotal changes in material properties, showcasing a significant reaction force increase from 0.4 N to 1 N in NiTi wires at 20 °C and 50 °C. Concurrently, the embedded NiTi wire within the Ecoflex matrix exhibits a similar force increment from 0.6 N to 1.2 N, reflecting the microstructural alterations dependent on temperature. The study also elucidates the versatility and scalability of this technology, highlighting its potential for diverse applications in aerospace, robotics, medical devices, and adaptive materials. This bioinspired morphing surface offers a versatile foundation for customizable shapes and programmable transformations, paving the way for impactful advancements in a multitude of fields.

从生物有机体中汲取灵感,对 "智能 "材料的追求一直是材料科学与工程领域的一个重要焦点。形状记忆材料,特别是形状记忆合金(SMA),已成为开发适应性和响应性材料的大有可为的平台。本文探讨了如何利用 Ecoflex 和镍钛 (Nitinol) 线的创新组合,创造一种生物启发变形表面。受生物机制的启发,这种变形表面具有出色的适应性,能精确地从二维形状无缝过渡到三维形状。详细的机械性能表征强调了材料特性的关键变化,表明在 20 °C 和 50 °C 温度条件下,镍钛丝的反作用力从 0.4 N 显著增加到 1 N。同时,Ecoflex 基体中嵌入的镍钛丝的反作用力也从 0.6 N 增至 1.2 N,反映出微观结构随温度的变化而变化。这项研究还阐明了这项技术的多功能性和可扩展性,凸显了它在航空航天、机器人、医疗设备和自适应材料等领域的多种应用潜力。这种受生物启发的变形表面为可定制的形状和可编程的转化提供了多功能基础,为在多个领域取得有影响力的进展铺平了道路。
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引用次数: 0
Mechanics guided design of programmable bilayer for aortic valve stent 主动脉瓣支架可编程双层膜的力学指导设计
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-12 DOI: 10.1016/j.eml.2024.102229
Meng Yang, Chao Yuan, Haoyu Guo, Xiaochun Jiang, Tiejun Wang

Transcatheter aortic valve replacement (TAVR) has emerged as a promising treatment option for aortic stenosis. However, the prevalent stent used for valve placement restricts the post-release adjustment or movement of the artificial valve, increasing the potential risk to patients once accidental mispositioning occurs. Herein, we propose a 4D printing strategy to realize a proof-of-concept thermal-activated transcatheter aortic valve (TAV) stent that allows for programmable manipulation. Polylactic acid/polyurethane composites are directly printed to perform as the active units that tailor the configuration of the programmable TAV stent, accommodating to different tasks such as blood vessel navigation and topological fixation with cardiac cavity. A theoretical model is developed to explore the curvature evolutions of the active composite, realizing good agreement with experimental observations. Guided by the model, we seek out the optimized programming and activation conditions that allow for desired transformations to realize permanent fixation under intra-annular release and thermal-activated retraction under infra-annular release, inspiring the future development of TAV stents with shape memory principle.

经导管主动脉瓣置换术(TAVR)已成为治疗主动脉瓣狭窄的一种很有前景的治疗方法。然而,目前用于瓣膜置入的支架限制了人工瓣膜释放后的调整或移动,一旦发生意外错位,将增加患者的潜在风险。在此,我们提出了一种 4D 打印策略,以实现可编程操作的热激活经导管主动脉瓣(TAV)支架的概念验证。直接打印的聚乳酸/聚氨酯复合材料可作为活性单元,定制可编程 TAV 支架的配置,以适应不同的任务,如血管导航和与心腔的拓扑固定。我们建立了一个理论模型来探索有源复合材料的曲率演变,该模型与实验观察结果十分吻合。在该模型的指导下,我们找到了优化的编程和激活条件,以实现所需的转变,从而在环内释放时实现永久固定,在环下释放时实现热激活回缩,这为未来开发具有形状记忆原理的 TAV 支架提供了灵感。
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引用次数: 0
An integrated push-to-pull micromechanical device: Design, fabrication, and in-situ experiment 一体化推拉微机械装置:设计、制造和现场实验
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-11 DOI: 10.1016/j.eml.2024.102228
Jie Wang , Dihan Yao , Rong Wang , Zhiqiang Gao , Mengxiong Liu , Xuan Ye , Xide Li

The rapid advancement of micro-nano machining technology has led to a decrease in the dimensions of microdevices and microchips, following the principles of Moore’s law. In addition to conventional semiconductor materials like silicon, emerging nanoscale materials such as nanowires, nanotubes, and two-dimensional materials are being considered as promising alternative constituent materials. The mechanical properties of these materials have a significant impact on the performance and service life of these microdevices and microchips. However, conventional mechanical testing methods have difficulty in accurately measuring the properties of these materials at the nanoscale due to limitations in displacement control and microforce sensing. Consequently, there is an urgent need to develop a micromechanical device capable of testing nanoscale solid materials. In this study, we propose a concept based on high-resolution image sequences for the design of an integrated micromechanical device capable of synchronously measuring the force and deformation of tested specimens. The device has been fabricated using ultrafast femtosecond laser etching technology, which offers an efficient and cost-effective approach for manufacturing microstructures and is suitable for processing various materials such as metals and nonmetals. The stiffness of the device plays a crucial role in the design of the micromechanical device, and a stiffness-matching criterion is introduced to ensure appropriate design parameters. The fabricated device is employed to conduct in-situ tension experiments on SiC nanowires and multilayer molybdenum disulfide nanosheet within a scanning electronic microscope, enabling accurate measurement of their strength, modulus, and fracture strain.

微纳加工技术的飞速发展导致微器件和微芯片的尺寸按照摩尔定律的原则不断缩小。除了硅等传统半导体材料外,纳米线、纳米管和二维材料等新兴纳米级材料也被认为是很有前途的替代组成材料。这些材料的机械性能对这些微器件和微芯片的性能和使用寿命有重大影响。然而,由于位移控制和微力传感方面的限制,传统的机械测试方法难以在纳米尺度上准确测量这些材料的特性。因此,迫切需要开发一种能够测试纳米级固体材料的微机械装置。在本研究中,我们提出了一种基于高分辨率图像序列的概念,用于设计一种能够同步测量被测试样的力和变形的集成微机械装置。该装置采用超快飞秒激光蚀刻技术制造,该技术为制造微结构提供了一种高效且经济的方法,适用于加工金属和非金属等各种材料。装置的刚度在微机械装置的设计中起着至关重要的作用,因此引入了刚度匹配准则,以确保适当的设计参数。利用制作的装置在扫描电子显微镜下对碳化硅纳米线和多层二硫化钼纳米片进行了原位拉伸实验,从而精确测量了它们的强度、模量和断裂应变。
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引用次数: 0
Stick-to-slip transition characterized by nucleation and emission of dislocations and the implications in earthquake nucleation 以位错的成核和发射为特征的粘滑转换及其对地震成核的影响
IF 4.3 3区 工程技术 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY Pub Date : 2024-09-10 DOI: 10.1016/j.eml.2024.102234
Yiran Li, Tingting Wang, Ganyun Huang, Liaoliang Ke, Yanfeng Wang, Yize Wang, Yuesheng Wang

Stick-slip friction exists widely in our life especially the occurrence of large earthquakes, but people cannot predict and control by a limited understanding of the mechanisms involved. In the present work, the whole process of stick-to-slip transition has been investigated through digital image correlation and acoustic emission. Two phases, namely, the nucleation and abrupt rupture phases have been discovered during the transition that are characterized well by nucleation and transient emission of dislocations, which may support the combination of pre-slip and cascade-up models. Based on the findings simple yet analytical expressions then have been obtained to predict the earthquake cycles consistent with available simulations and practical observations.

粘滑摩擦广泛存在于我们的生活中,尤其是大地震的发生,但人们对其中的机理了解有限,无法预测和控制。本研究通过数字图像相关和声发射研究了粘滑转换的全过程。研究发现,在粘滑转换过程中存在两个阶段,即成核阶段和突然断裂阶段,这两个阶段的特征是位错的成核和瞬时发射,可以支持预滑移模型和级联上升模型的结合。根据这些发现,我们得到了简单的分析表达式,用于预测与现有模拟和实际观测结果一致的地震周期。
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引用次数: 0
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Extreme Mechanics Letters
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