Personal Information
Personal Information
School/Department:
School of Mechanics and Civil EngineeringBusiness Address:
School of Mechanics and Civil Engineering Room A510Gender:
MaleContact Information:
binzhu@cumt.edu.cnDegree:
DoctorProfessional Title:
LecturerAlma Mater:
Dalian University of Technology- Supervisor of Master's Candidates
Teacher College:
School of Mechanics and Civil Engineering
Other Contact Information
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Profile
朱彬,博士,讲师,硕士生导师,江苏徐州人。2021年博士毕业于大连理工大学。受国家留学基金委资助于2019-2020年在日本京都大学(Kyoto University)进行公派联合培养。主要从事岩土工程可靠度方法、高效数值计算、海洋岩土工程及斜坡稳定性评价等方面的科研工作。主持国家自然科学基金、中国博士后科学基金、国家重点实验室开放基金、中央高校基本科研业务费专项资金、中国矿业大学第14批“启航计划”等项目,参与国家自然科学基金重大项目、重点项目、面上项目等。已发表学术论文20余篇,参与完成专利6项,软件著作2项,其中第一及通讯作者在《Comput Geotech》、《Ocean Eng》、《Int J Numer Anal Methods Geomech》、《岩土工程学报》、《岩土力学》等权威期刊上发表论文10余篇。获WILEY出版社2021-2022 Top cited Article (高被引论文)、博士生国家奖学金、中国港湾一等奖学金、辽宁省优秀毕业生、中国矿业大学优秀毕业生、大连理工大学优秀毕业生等荣誉。中国岩石力学与工程学会、国际环境岩土工程学会(ISEG)会员,教育部学位论文评审专家,《 Journal of Marine Environmental Engineering》青年编委,《Ocean Eng》、《Appl Ocean Res》、《Mar Georesour Geotec》、《Georisk》等SCI期刊审稿人。主讲本科生课程《地基与基础工程》,指导大学生创新计划项目2项。
欢迎土木、水利、海洋工程、地质工程及矿业工程相关专业的优秀学子报考硕士研究生。
联系方式:15162118923,binzhu@cumt.edu.cn
教育经历
2019/10-2020/10,京都大学,防灾研究所(DPRI),联合培养
2015/09-2021/06,大连理工大学,建设工程学部,岩土工程,博士
2011/09-2015/06,中国矿业大学,孙越崎学院,采矿工程,学士
科研工作经历
2021/07至今,中国矿业大学,力学与土木工程学院,讲师
主持或参加科研项目情况
[1] 国家自然科学基金青年项目(52209150),不规则波浪荷载下空间异质海床响应机制与时变可靠性分析方法研究,2023/1-2025/12,主持,在研;
[2]中国博士后科学基金面上资助(2022M723403),复杂环境荷载下风电单桩基础与空间异质海床耦合响应机理及稳定性评价,2023/1-2024/12,主持,在研;
[3] 海岸和近海工程国家重点实验室开放基金项目(LP2306),考虑海洋土参数空间变异性的海上风电单桩基础承载性能研究,2023/8-2025/7,主持,在研;
[4] 中央高校基本科研业务费专项资金(2022QN1026),复杂环境荷载作用下空间异质海床失稳机理及评价方法,2022/1-2023/12,主持,在研;
[5] 中国矿业大学第十四批“启航计划”,2022/1-2023/12,主持,在研;
[6] 中国矿业大学人才引进科研启动经费(A类博士),2021/7-2024/7,主持,在研;
[7] 国家自然科学基金重点项目(51639002),海洋土软化特性及海床和基础失稳与灾变机理研究,2017/1-2021/12,参与,结题;
[8] 国家自然科学基金面上项目(52078103),考虑水化效应的超长钻孔灌注桩桩土界面强度形成机理及承载性能研究,2021/1-2024/12,参与,在研;
[9] 国家自然科学基金面上项目(51778107),热力耦合作用下新型相变混凝土能量桩传热机制及承载性能研究,2018/1-2021/12,参与,结题。
代表性论文
Zhu B.*(通讯作者), Sun, Y., Wang, T., Mo, P., Han, Y., Ren, Y., Li, J. (2024). Oscillatory responses of a spatially random seabed in the vicinity of structures: Validation and application of the integrated CFD-SFEM. Ocean Eng. 314: 119733. https://doi.org/10.1016/j.oceaneng.2024.119733
Zhu B.*(通讯作者), Yang Q., Wang T., Lu M., Mo P., Hiraishi T., Mase H. (2024). Investigation on wave-induced responses of heterogeneous seabed around a buried pipeline based on nonstationary random field model. Comput. Geotech. 167: 106119. https://doi.org/10.1016/j.compgeo.2024.106119
Zhu B.*(通讯作者), Hiraishi T. (2024). A decomposed Karhunen–Loève expansion scheme for the discretization of multidimensional random fields in geotechnical variability analysis. Stoch. Environ. Res. Risk Assess. 38:1215-1233. https://doi.org/10.1007/s00477-023-02625-8
Zhu B.*(通讯作者), Yang Q., Hiraishi T., Mase H., Pei H., Wang T., Lu M. (2023). A stochastic numerical model for wave-induced dynamic response in a spatially heterogeneous seabed around structures. Ocean Eng. 288:115789. https://doi.org/10.1016/j.oceaneng.2023.115789
Zhu B., Hiraishi T., Mase H., Pei H., Yang Q. (2022). Probabilistic analysis of wave-induced dynamic response in a poroelastic sloping seabed using random finite element method. Ocean Eng. 252:111231. https://doi.org/10.1016/j.oceaneng.2022.111231
Zhu B., Hiraishi T., Mase H., Baba Y., Pei H., Yang Q. (2021). A 3-D numerical study of the random wave-induced response in a spatially heterogenous seabed. Comput. Geotech. 135:104159. https://doi.org/10.1016/j.compgeo.2021.104159
Zhu B., Hiraishi T., Pei H., Yang Q.. (2020). Efficient reliability analysis of slopes integrating the random field method and a Gaussian process regression‐based surrogate model. Int. J. Numer. Anal. Methods Geomech. 45(4):478-501. https://doi.org/10.1002/nag.3169
Zhu B., Pei H., Yang Q. (2019). An intelligent response surface method for analyzing slope reliability based on Gaussian process regression. Int. J. Numer. Anal. Methods Geomech. 43(15):2431-48. https://doi.org/10.1002/nag.2988
Zhu B., Pei H., Yang Q. (2019). Reliability analysis of submarine slope considering the spatial variability of the sediment strength using random fields. Appl. Ocean Res. 86:340-50. https://doi.org/10.1016/j.apor.2019.03.011
Zhu B., Pei H., Yang Q. (2018). Probability analysis of submarine landslides based on the Response Surface Method: A case study from the South China Sea. Appl. Ocean Res. 78:167-79. https://doi.org/10.1016/j.apor.2018.06.018
Zhu, B., Hiraishi, T., Yang, Q. (2020). Probability analysis of submarine slope stability with consideration of the spatial variability of sediment strength. DPRI Annuals (京都大学防災研究所年報), No. 63 B, 298-305. https://www.dpri.kyoto-u.ac.jp/nenpo/no63/ronbunB/a63b0p27.pdf
Yang, Q., Zhu, B.*(通讯作者), Hiraishi, T. (2021). Probabilistic evaluation of the seismic stability of infinite submarine slopes integrating the enhanced Newmark method and random field. Bull. Engi. Geol. Environ. 80(3):2025-43. https://doi.org/10.1007/s10064-020-02058-5
朱彬*(通讯作者), 裴华富, 杨庆, 卢萌盟, 王涛. (2023). 基于随机有限元法的波致海床响应概率分析. 岩土力学, 44(5), 1542-1556. http://ytlx.whrsm.ac.cn/CN/abstract/abstract21976.shtml
朱彬, 裴华富, 杨庆. (2019). 基于高斯过程回归的响应面法及边坡可靠度分析. 岩土工程学报, 41(S1), 209-212. http://manu31.magtech.com.cn/Jwk_ytgcxb/CN/10.11779/CJGE2019S1053
Educational Experience
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2007.9 to 2010.6
徐州市第一中学
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2011.9 to 2015.6
中国矿业大学 | 采矿工程 | 学士 | Undergraduate (Bachelor’s degree)
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2015.9 to 2021.6
大连理工大学 | 岩土工程 | Doctoral degree | With Certificate of Graduation for Doctorate Study
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2019.10 to 2020.10
京都大学 | 海岸工学 | 公派联合培养
Work Experience
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2021.7 to Now
力学与土木工程学院 | 讲师