Structural And Multidisciplinary Optimization

Structural And Multidisciplinary Optimization

结构和多学科优化

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Structural And Multidisciplinary Optimization》是由Springer Berlin Heidelberg出版社于1989年创办的英文国际期刊(ISSN: 1615-147X,E-ISSN: 1615-1488),该期刊长期致力于力学领域的创新研究,主要研究方向为工程技术-工程:综合。作为SCIE收录期刊(JCR分区 Q1,中科院 2区),本刊采用OA未开放获取模式(OA占比0.0686...%),以发表力学领域等方向的原创性研究为核心(研究类文章占比98.42%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在253篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动工程技术领域高水平交流平台。

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投稿提示

Structural And Multidisciplinary Optimization审稿周期约为 约3.0个月 。该刊近年未被列入国际预警名单,年发文量约253篇,录用竞争适中,主题需确保紧密契合工程技术前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 工程技术 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 253 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
工程技术
2区
MECHANICS 力学 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用 ENGINEERING, MULTIDISCIPLINARY 工程:综合
2区 3区 3区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
工程技术
2区
ENGINEERING, MULTIDISCIPLINARY 工程:综合 MECHANICS 力学 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
2区 2区 3区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q2 56 / 169

67.2%

学科:ENGINEERING, MULTIDISCIPLINARY SCIE Q1 31 / 179

83%

学科:MECHANICS SCIE Q1 34 / 170

80.3%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS SCIE Q2 52 / 169

69.53%

学科:ENGINEERING, MULTIDISCIPLINARY SCIE Q1 36 / 180

80.28%

学科:MECHANICS SCIE Q1 39 / 170

77.35%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:7.6 SJR:1.181 SNIP:1.363
学科类别 分区 排名 百分位
大类:Mathematics 小类:Control and Optimization Q1 13 / 130

90%

大类:Mathematics 小类:Computer Graphics and Computer-Aided Design Q1 14 / 106

87%

大类:Mathematics 小类:Control and Systems Engineering Q1 65 / 321

79%

大类:Mathematics 小类:Computer Science Applications Q1 174 / 817

78%

大类:Mathematics 小类:Software Q1 94 / 407

77%

期刊发文

  • Experimental verification: a multi-objective optimization method for inversion technology of hydrodynamic journal bearings

    Author: Zhang, Jingjun; Lu, Liming; Zheng, Zhiyi; Tong, Haiyang; Huang, Xuanjun

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03470-z

  • A 168-line MATLAB code for topology optimization with the adaptive bubble method (ABM)

    Author: Yu, Daoyuan; Cai, Shouyu; Gao, Tong; Zhang, Weihong

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03403-w

  • Simultaneous reliability and reliability-sensitivity analyses based on the information-reuse of sparse grid numerical integration

    Author: Xu, Jun; Hao, Limin; Mao, Jian-feng; Yu, Zhi-wu

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03444-1

  • Adaptive kriging model-based structural reliability analysis under interval uncertainty with incomplete data

    Author: Wu, Peng; Li, Yunlong

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03474-9

  • Simultaneous optimization of part and support for heat dissipation in additive manufacturing

    Author: Wang, Cunfu; Qian, Xiaoping

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03466-9

  • Structural topology optimization considering both manufacturability and manufacturing uncertainties

    Author: Wang, Chao; Xu, Bin; Duan, Zunyi; Rong, Jianhua

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03458-9

  • A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

    Author: Thelen, Adam; Zhang, Xiaoge; Fink, Olga; Lu, Yan; Ghosh, Sayan; Youn, Byeng D.; Todd, Michael D.; Mahadevan, Sankaran; Hu, Chao; Hu, Zhen

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03410-x

  • Matching of multiple aerodynamic parameters for railway train/tunnel systems to ensure critical airtightness performance of high-speed trains

    Author: Niu, Jiqiang; Lv, Dazhou; Li, Rui; Zhou, Dan; Wang, Yueming; Yang, Xufeng

    Journal: STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION. 2023; Vol. 66, Issue 1, pp. -. DOI: 10.1007/s00158-022-03462-z