基于内聚力模型的复合裂纹耦合扩展多尺度数值模拟研究与实验验证

doi:10.11896/cldb.20110172

Abstract
Figure/Table
References
Related Citation (6)

Download:

Full Text ( PDF ) (9308KB)
Export: BibTeX | EndNote (RIS)

Abstract The damage and failure mechanisms of materials under external loads are vital scientific challenges, which contain coupling and correlation of multiple scales, such as macro and micro scales as well as time and space scales. Taking α-Ti as example, microstructure and phase structure of α-Ti were first analyzed by microscopic observation. Subsequently, the size, shape and distribution of grains were randomly sampled by the Monte Carlo method, and the microstructural characteristics were obtained. By comparing with the strength determined by employing the macro experiments as well as using the image processing methods, the quantitative microstructural properties were acquired, along with revealing the influence of microstructure on the macro and micro properties of the material. The microstructural characteristics obtained microscopically provided reliable evidence for the micro scale molecular dynamics simulation. Secondly, the molecular dynamics analyses of the three α-Ti models with compounding micro defects were conducted, and the quantitative relationship between the interfacial bonding force and the relative separation displacement of the upper and lower surfaces (T-S curve) were obtained. The microscopic information related to the evolution of the crack tip, such as dislocation emission and motion, crack tip blunting, crack deflection, void initiation and growth, twinning, etc., is contained in the T-S curve. By combining the atomic configuration corresponding to the turning point of the T-S curve, the principle and mechanism of propagation of the micro-scale defects at atomic scale in α-Ti were ascertained. Finally, the multiscale method based on the atomic-based cohesive zone model for combining the macroscopic and microscopic scales was employed to simulate the crack propagation in the CT specimen under uniaxial tensile load, and the influence of micro defects on the fracture parameters was subsequently studied.

Key words： multiscale Monte Carlo method micro-scale defects propagation cohesive zone model fracture parameter

Published: 25 February 2022 Online: 2022-02-28

CLC number:

O341

Fund:Science and Technology Program of Sichuan Province (2020YFG0183), the Science and Technology Program of Sichuan Province (2020JDTD0021), the Open Fund of Key Laboratory of Icing and Anti/De-icing (AIADL20180103), and the Open Foundation of Shock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province (18kfgk12).

	Service
	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	SHENG Ying
	JIA Bin
	WANG Ruheng
	CHEN Guoping

Cite this article:

SHENG Ying,JIA Bin,WANG Ruheng, et al. Multiscale Numerical Simulation Based on Cohesive Zone Model and Experimental Verification of Coupling Compound Crack Propagation[J]. Materials Reports, 2022, 36(4): 20110172-10.

URL:

http://www.mater-rep.com/EN/10.11896/cldb.20110172 OR http://www.mater-rep.com/EN/Y2022/V36/I4/20110172

1 Ding J, Wang J, Huang X, et al. Materials Reports B: Research Papers, 2018, 32(9), 3171(in Chinese).
丁军, 汪建, 黄霞, 等. 材料导报:研究篇, 2018, 32(9), 3171.
2 Niinomi M.Science and Technology of Advanced Materials, 2003, 4(5), 445.
3 Yao Z, Li X, Wei H, et al. International Journal of Applied Ceramic Technology, 2019, 16(3), 994.
4 Guo P, Zhao Y Q, Hong Q.Materials Reports B: Research Papers, 2019, 33(5), 3448(in Chinese).
郭萍, 赵永庆, 洪权, 等. 材料导报:研究篇, 2019, 33(5), 3448.
5 Huang C W, Yuan P, Zhao Y Q, et al. Rare Metal Materials and Engineering, 2016, 45(1), 254(in Chinese).
黄朝文, 葛鹏, 赵永庆, 等. 稀有金属材料与工程, 2016, 45(1), 254.
6 Foehring D, Chew H B, Lambros J.Materials Science and Engineering A, 2018, 724(5), 536.
7 Foehring D, Chew H B, Lambros J.Materials Science and Engineering A, 2018, 724(5), 536.
8 Zhou H F.Chinese Journal of Solid Mechanics, 2019, 40(3), 4(in Chinese).
周昊飞. 固体力学学报, 2019, 40(3), 4.
9 Steinhauser M O.Computational Multiscale Modeling of Fluids and Solids, Springer Berlin Heidelberg, Germany, 2017.
10 Tan W Y, Feng Y P.Journal of Guangzhou University(Natural Science Edition), 2018, 17(4),18(in Chinese).
谭文燕, 冯永平. 广州大学学报(自然科学版), 2018, 17(4),18.
11 Kevlahan N.Physics Today, 2012, 65(6), 56.
12 Zhuo X X, Liu H, Chu X H, et al. Chinese Journal of Theoretical and Applied Mechanics, 2016, 48(2), 378(in Chinese).
卓小翔, 刘辉, 楚锡华, 等. 力学学报, 2016, 48(2), 378.
13 Yang Z H. The second-order two-scale method for predicting dynamic thermos-mechanical performance of random composite materials.Ph.D. Thesis, Northwestern Polytechnical University, China, 2014(in Chinese).
杨自豪. 随机复合材料动态热力耦合性能预测的二阶双尺度方法, 博士学位论文, 西北工业大学, 2014.
14 Song K, Wang L S, Liu B, et al.Journal of Mechanical Strength, 2018, 40(2), 319(in Chinese).
宋鹍, 王路生, 刘泊, 等. 机械强度, 2018, 40(2), 319.
15 Cao L Q, Huang J Z.Science & Technology Information, 2016, 14(19), 177(in Chinese).
曹礼群, 黄记祖. 科技资讯, 2016, 14(19), 17.
16 Li H, Cui J Z, Li B W.Applied Mathematics and Mechanics, 2015, 36(4), 343(in Chinese).
李辉, 崔俊芝, 李博文. 应用数学和力学, 2015, 36(4), 343.
17 Xiang M, Chen J, Su R.Computational Materials Science, 2016, 117(5), 370.
18 Sheng Y, Zeng X G, Guo Y, et al. Journal of Sichuan University(Natural Science Edition), 2017, 54(1), 124(in Chinese).
盛鹰, 曾祥国, 郭杨, 等. 四川大学学报(自然科学版), 2017, 54(1), 124.
19 Liu X J, Chen Y C, Lu Y, et al. Acta Metallurgica Sinica, 2019, 56(1), 1(in Chinese).
刘兴军, 陈悦超, 卢勇, 等. 金属学报, 2019, 56(1), 1.
20 Lloyd J T, Zimmerman J A, Jones R E, et al. Modelling & Simulation in Materials Science & Engineering, 2011, 19(6), 065007.
21 Li X H, Di Y L, Wang H D, et al. Materials Reports A: Review Papers, 2019, 33(5), 76(in Chinese).
李雪换, 底月兰, 王海斗, 等. 材料导报:综述篇, 2019, 33(5), 76.
22 Xu D S, Wang H, Teng C Y.E-science Technology & Application, 2015, 6(3), 14(in Chinese).
徐东生, 王皞,滕春禹,等. 科研信息化技术与应用,2015,6(3),14.
23 Zhang X M, Li M, Hui Y Q, et al. Ordnance Material Science and Engineering, 2020, 43(1), 11(in Chinese).
张学敏, 李咪, 惠玉强, 等. 兵器材料科学与工程, 2020, 43(1), 11.
24 Panin V E, Surikova N S, Lider A M, et al. Physical Mesomechanics, 2018, 21(5), 452.
25 Kakogiannis D, Verleysen P, Belkassem B, et al. International Journal of Impact Engineering, 2018, 119(9), 1.
26 Daugherty R L, Ingersoll A C. Fluid mechanics. McGraw-Hill, USA, 1954, pp.25.
27 Amsterdam V U.Understanding Molecular Simulation, 2014, 11(4), 589.
28 Wadley H N G, Zhou X, Johnson R A, et al. Progress in Materials Science, 2001, 46(3), 329.