Page 43 - 《含能之美》2019封面论文
P. 43

415
            基 于 SVM 算 法 的 TATB 基 PBX 单 轴 准 静 态 应 力 应 变 关 系
                stitutive behavior of RDX‑based PBX with loading‑history and  589-598.
                loading‑rate effects[J]. Chinese Journal of Energetic Materials  [17] Ramin G,Mohammad R G,Mohammad N. Comparative stud‑
                (Hanneng Cailiao),2016,24(9):832-837.                ies of metamodeling and AI‑Based techniques in damagedetec‑

            [4] 唐维,颜熹琳,温茂萍,等 . 典型 PBX 基于 Boltzmann 函数的准              tion of structures[J]. Advances in Engineering Software,2018,
                                                                     115:65-77.
                静 态 单 轴 拉 压 非 线 性 本 构 模 型[J]. 含 能 材 料 ,2017,25(8):
                689-693.                                        [18] Qasim A A,Zamri C,Mohammed F A,et al. Support vector
                TANG Wei,YAN Xi‑lin,WEN Mao‑ping. A uniaxial nonlinear  regression‑based model for prediction of behaviorstone col‑
                tension‑compression constitutive model based on boltzmann‑  umn parameters in soft clay under highway embankment[J].
                function for typical PBXs under quasi‑static loading[J]. Chi⁃  Neural Computing and Applications,2017,30(8):2459-
                                                                     2469.
                nese Journal of Energetic Materials(Hanneng Cailiao),2017,
                25(8):689-693.                                  [19] 魏小红,常双君,申孝立 . 基于 HLLE‑SVM 预测混合炸药爆轰性
            [5] Bennett J G,Haberman K S,et al. A constitutive model for the  能[J]. 含能材料,2014,22(2):221-225.
                non‑shock ignition and mechanical response of high explosives  WEI Xiao‑hong,CHANG Shuang‑jun,SHEN Xiao‑li. Predic‑
                [J]. Journal of the Mechanics and Physics of Solids,1998,46  tion of the Composite Explosion Parameters by HLLE‑SVM[J].
                (12):2303-2322.                                      Chinese journal of energetic materials(Hanneng Cailiao),
            [6] Peeters R L, Hackett R M. Constitutive modeling of plas‑  2014,22(2):221-225.
                tic‑bonded explosives [J]. Experimental Mechanics, 1981:  [20] 周红萍,庞海燕,温茂萍,等 . 3 种粘结剂材料的力学性能对比
                111-116.                                             研究[J]. 材料导报,2009,23(12):34-36,52.
            [7] R Browning,M Gurtin,W Williams. A one‑dimensional visco‑  ZHOU Hong‑ping,PANG Hai‑yan,WEN Map‑ping,et al.
                plastic constitutive theory for filled polymers[J]. International⁃  Comparative studies on the mechanical properties of three
                Journal of Solids and Structures,1984,20:921-934.    kinds of binders[J]. Materials Review,2009,23(12):34-
            [8] Ramberg W,Osgood W R. Description of stress‑strain curves  36,52.
                by three parameters[J]. Technical Note,1943,902.  [21] Ian G,Yoshua B,and AaronC. Deep Learning[M]. Massachu‑
            [9] Browning R,Gurtin M,Williams W. A model for viscoplastic  setts: Massachusetts Institute of Technology Press, 2016:
                materials  with  temperature  dependence [J]. International  88-90.
                Journalof Solids and Structures,1989,25:441-457.  [22] 周志华 . 机器学习[M]. 北京:清华大学出版社,2016:121-139.
                                                                     ZHOU Zhi‑hua. Machine learning[M]. Beijing:Tsinghua Uni‑
           [10] 李尚昆,黄西城,王鹏飞 . 高聚物粘结炸药的力学性能研究进展
                [J]. 火炸药学报,2016,39(8):1-11.                          versity Press,2016:121-139.
                LI Shang‑kun,HUANG Xi‑cheng,WANG Peng‑fei. Recent ad‑  [23] Goldfarb D,Idnani A. A numerically stable dual method for
                vances in the investigation on mechanical properties of PBX  solving strictly convex quadratic programs[J]. Mathematical
                [J]. Chinese Journal of Explosives & Propellants,2016,39  Programming,1983,27(1):1-33.
                (8):1-11.                                       [24] Burachik R S,Rizvi M M. On weak and strong Kuhn‑Tucker
           [11] Timm K,Halim K,Alexandr K,et al. The lattice boltzman‑  conditions for smooth multi‑objective optimization[J]. Journal
                nmethod[M]. Berlin:Springer‑Verlag,2017.             of Optimization  Theory  and  Applications, 2012, 155:
           [12] Shunk Devin. PBX 9502 literature review:An engineering per‑  477-491.
                spective [R].  Los  Alamos  National  Laboratory  report  [25] 叶永伟,陆俊杰,钱志勤,等 . 基于 LS‑SVM 的机械式温度仪表误
                LA‑UR‑13‑21673,2013.                                 差预测研究[J]. 仪器仪表学报,2016,37(1):57-66.
           [13] Jiang N,Zhao Z,Ren L. Design of structural modular neural  YE Yong‑wei,LU Jun‑jie,QIAN Zhi‑qin,et al. Study on the
                networks with genetic algorithm[J]. Advances in Engineer Soft⁃  temperature error prediction of mechanical temperature instru‑
                ware,2003,34(1):17-24.                               ment based on LS‑SVM[J]. Chinese Journal of Scientific Instru⁃
           [14] Asfaram A,Ghaedi M,AhmadiAzqhandi M H,et al. Statisti‑  ment,2016,37(1):57-66.
                cal experimental design,least squaressupport vector machine  [26] 叶永伟,陆俊杰,钱志勤,等 . 基于 LS‑SVM 的机械式温度仪表误
                (LS‑SVM) and artificialneural network (ANN) methods for  差预测研究[J]. 仪器仪表学报,2016,37(1):57-66.
                modeling thefacilitated adsorption of methylene blue dye[J].  YE Yong‑wei,LU Jun‑jie,QIAN Zhi‑qin,et al. Study on the
                RSC Advances,2016,6:40502-40516.                     temperature error prediction of mechanical temperature instru‑
           [15] VAPNIK V N. The nature of statistical learning theory[M].  ment based on LS‑SVM[J]. Chinese Journal of Scientific Instru⁃
                New York:Springer,1995.                              ment,2016,37(1):57-66.
           [16] Farzad N,Faezeh J,Ehsan M,et al. Experimental observa‑  [27] Reuter U,Sultana A,Reischl D S. A comparative study of ma‑
                tions and SVM‑based prediction of properties of polypropylene  chine learning approaches for modeling concrete failure Sur‑
                fibres reinforced self‑compacting composites incorporating na‑  faces[J]. Advances in Engineering Software, 2018, 116:
                                                                     67-79.
                no‑CuO[J]. Construction and Building Materials,2017,143:










            CHINESE JOURNAL OF ENERGETIC MATERIALS              含能材料                2019 年  第 27 卷  第 5 期 (410-416)
   38   39   40   41   42   43   44   45   46   47   48