辛寄语科研成果_辛寄语专利信息_哈尔滨工业大学交通科学与工程学院辛寄语科研信息|辛寄语校企合作信息|辛寄语联系方式
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辛寄语科研成果

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辛寄语
姓名 辛寄语 性别 辛寄语
学校 哈尔滨工业大学 部门 交通科学与工程学院
学位 辛寄语 学历 辛寄语
职称 联系方式 15541920785
邮箱 xinjiyu@hit.edu.cn    
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辛寄语

个人信息 科学研究 教学经历 新建主栏目 基本信息 (Basic Information) 名称 辛寄语,男,工学博士,辽宁沈阳人,1992年2月生, 博士毕业于日本早稻田大学 (指导教师: 秋山充良 教授), 美国理海大学ATLSS国家工程研究中心博士后经历 (合作导师: Dan Frangopol 七国院士)。 目前就职于哈尔滨工业大学 交通科学与工程学院 桥梁与隧道工程系,任副研究员。 主要从事土木工程基础设施系统全寿命周期管理、机器学习理论应用及不确定性分析等方面研究。 Jiyu Xin (Doctor of Engineering) Associate Research Fellow, Department of Bridge and Tunnel Engineering, School of Transportation Science and Engineering, Harbin Institute of Technology (HIT) Email: xinjiyu@hit.edu.cn; xinjiyu@fuji.waseda.jp 科研与学术工作经历 (Academic Qualifcations) 名称 2024年3月 - 至今,哈尔滨工业大学,副研究员 2022年6月 - 2023年12月,美国理海大学,博士后研究员,合作导师 Prof. Dan Frangopol 2021年9月 - 2022年4月,日本早稻田大学,助理研究员,合作导师 秋山充良 教授 Mar. 2024 to Present, Harbin Institute of Technology, Associate Research Fellow Jun. 2022 to Dec. 2023, Lehigh University, Postdoctoral Research Associate, with Prof. Dan Frangopol Sep. 2021 to Apr. 2022, Waseda University, Research Assistant, with Professor Mitsuyoshi Akiyama 教育经历 (Education Qualifications) 名称 2018年9月 - 2021年9月,日本早稻田大学,建设工学,工学博士,指导教师: 秋山充良 教授 2015年9月 - 2018年7月,长安大学,道路与铁道工程,工学硕士(学术型),指导教师: 裴建中 副校长 2010年9月 - 2014年7月,西北农林科技大学,土木工程,本科 · Sep. 2018 to Sep. 2021, Waseda University, Construction Engineering, Doctor of Engineering (Supervised by Professor Mitsuyoshi Akiyama) · Sep. 2015 to Jul. 2018, Chang'an University, Highway & Railway Engineering, Master of Engineering (Supervised by Professor Jianzhong Pei) · Sep. 2010 to Jul. 2014, Northwest A&F Univerisity, Civil Engineering, Bachelor 奖励与荣誉 (Awards and Honors) 名称 1. 日本土木学会,Intelligence, Informatics, and Infrastructure论文赏,2021年; 2. 公益财团法人-日中友好会馆,岸本奖学金,2020年; 3. 国家留学基金委(CSC),国家建设高水平大学公派研究生项目(与早稻田大学合作奖学金), 2018–2021年; 4. 长安大学,优秀研究生, 2018年; 5. 陕西省科技工作者创新创业大赛,铜奖,2017年; 6. 长安大学第三届“通大杯”专利创造与发明大赛,二等奖和三等奖,2017年; 7. 西北农林科技大学, 三等专业奖学金, 2011年。 学术活动 (Academic Activities) 名称 1. Mentoring up for Doctoral Students and Postdocs, Center for the Improvement of Mentored Experiences in Research (CIMER) and Lehigh University, Oct. – Nov. 2022 & Mar. – Apr. 2023; 2. International Association for Life-Cycle Civil Engineering (IALCCE) - 会员; 3. International Association for Bridge Maintenance and Safety (IABMAS) - 会员; 4. 日本土木学会Japan Society of Civil Engineers (JSCE) - 会员; 5. 田纳西大学-同济大学, 暑期夏令营联合课程:Smart Infrastructure & Sustainability Engineering,2017年7月6日至21日; 6. 大连理工大学土木工程建筑设计院,市政分院实习,2015年3月到5月。 科研项目 (Research Funds) 名称 (1) 日本学术振兴会JSPS, 基础研究(A), 23H00217, Resilience of bridge networks considering the escalation of natural disasters due to global warming, 2023-04 至 2028-03, 224万元, 在研, 参与 (2) 中华人民共和国科学技术部, 国家重点研发计划, 2022YFC3801100, 建筑与市政公用设施智慧运维理 论与方法, 2022-11 至 2025-10, 2500万元, 在研, 参与 (3) 日本学术振兴会JSPS, 基础研究(A), 19H00813, Disaster management of structures and infrastructures affected by the anticipated Nankai Trough earthquake for resilience enhancement, 2019-04 至 2023-03, 219万元, 结题, 参与 (4) 国家留学基金委CSC, 国家建设高水平大学公派研究生项目(与早稻田大学合作奖学金), 201806560017, 基于神经网络与深度学习的沥青路面概率性全寿命周期设计与养护方法, 2018-09 至 2021-09, 37万元, 结题, 主持 期刊论文 (Journal Papers) 名称 (* denotes corresponding authors) [1] Gou, J.*, Liu, F., Shang, E., Xin, J. (2024). "Enhancing the physical properties of Styrene-butadiene- styrene (SBS)-Modified Asphalt through Polyetheramine-Functionalized Graphene Oxide (PEA-GO) Composites". Construction and Building Materials, 418, 125426. https://doi.org/10.1016/j.conbuildmat.2024.135426 [2] Xin, J., Akiyama, M.* & Frangopol, D.M. (2024). "Autonomous detection of steel corrosion spatial variability in reinforced concrete using X-ray techniques and deep learning-based semantic segmentation". Automation in Construction, 158, 105252. http://doi.org/10.1016/j.autcon.2023.105252 [3] Xin, J., Frangopol, D.M.*, Akiyama, M. & Han X. (2023). "Probabilistic life-cycle connectivity assessment of transportation network using deep learning". ASCE’s Journal of Bridge Engineering, 28(9), 04023066. https://doi.org/10.1061/JBENF2.BEENG-614 [4] Xin, J., Akiyama, M.*, & Frangopol, D.M. (2023). "Sustainability-informed management optimization of asphalt pavement considering risk evaluated by multiple performance indicators using deep neural networks". Reliability Engineering and System Safety, 238, 109448. https://doi.org/10.1016/j.ress.2023.109448 [5] Pei, J.*, Fan, Z., Xue, B., Wang, P. & Xin, J. (2023). "Granular matter perspective of asphalt pavement materials: theory, methodology and progress". China Journal of Highway and Transport, 36(8), 121-136. https://doi.org/10.19721/j.cnki.1001-7372.2023.08.012 (In Chinese) [6] Srivaranun S., Akiyama M.*, Yamada T., Frangopol D.M. & Xin J. (2023). "A novel combined experimental-machine learning approach to estimate the probabilistic capacity of RC beams with spatially correlated rebar corrosion in transverse and longitudinal directions". Engineering Structures, 279, 115588. https://doi.org/10.1016/j.engstruct.2023.115588 [7] Xin, J., Akiyama, M.*, Miyazato, S., Frangopol, D.M., Lim, S., Xu, Z., & Li, A. (2022). "Effects of galvanostatic and artificial chloride environment methods on the steel corrosion spatial variability and probabilistic flexural capacity of RC beams". Structure and Infrastructure Engineering, 18(11), 1506-1525. https://doi.org/10.1080/15732479.2022.2061016 [8] Xin, J., Akiyama, M.*, Frangopol, D.M., & Zhang, M. (2022). "Multi-objective optimization of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks". Structure and Infrastructure Engineering, 18(7), 1002-1019. https://doi.org/10.1080/15732479.2022.2038641 [9] Yamada, D., Shintani, M., Xin, J., & Akiyama, M.* (2021). "Probabilistic structural capacity estimation of RC members with 2D spatial distributions of steel corrosion predicted based on corrosion crack observation and pix2pix". Intelligence, Informatics, and Infrastructure, 2(J2), 47-54. https://www.jstage.jst.go.jp/article/jsceiii/2/J2/2_47/_article/-char/en (In Japanese) [10] Li, Y., Ruan, X.*, Akiyama, M., Zhang, M., Xin, J., & Lim, S. (2021). "Modelling method of fibre distribution in steel fibre reinforced concrete based on X-ray image recognition", Composites Part B: Engineering, 223, 109124. https://doi.org/10.1016/j.compositesb.2021.109124 [11] Zhang, M., Akiyama, M.*, Shintani, M., Xin, J., & Frangopol, D.M. (2021). "Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine learning". Structural Safety, 91, 102098. https://doi.org/10.1016/j.strusafe.2021.102098 [12] Xin, J., Akiyama, M.*, Frangopol, D.M., Zhang, M., Pei, J., & Zhang, J. (2021). "Reliability-based life-cycle cost design of asphalt pavement using artificial neural networks". Structure and Infrastructure Engineering, 17(6), 872-886. https://doi.org/10.1080/15732479.2020.1815807 [13] Shintani, M., Akiyama, M.*, Zhang, M., & Xin, J. (2020). Probabilistic approach for estimating residual strength of corroded RC structures using LSTM network. Intelligence, Informatics, and Infrastructure, 1(J1), 117-121. https://www.jstage.jst.go.jp/article/jsceiii/1/J1/1_117/_article/-char/en/ (In Japanese) [14] Xin, J., Pei, J.*, Akiyama, M., Li, R., Zhang, J., & Shao, L. (2019). "A study on the design method for the material composition of small particle-size asphalt mixture for controlling cracks in asphalt pavement". Applied Sciences, 9(10), 1988. https://doi.org/10.3390/app9101988 [15] Hao, W.*, Zhang, Z., & Xin, J. (2019). "Study on the feasibility of desulfurized-high-calcium-fly-ash (DHCFA) used in asphalt mixture as mineral powder". International Journal of Pavement Research and Technology, 12(2), 223-231. https://doi.org/10.1007/s42947-019-0028-x 会议论文 (Conference Papers) 名称 [1] Xin, J., Frangopol, D.M., & Akiyama, M. (2024). "Connectivity of Transportation Networks Incorporating Bridges and Pavements". Proceedings of the Ninth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2024), Copenhagen, Denmark, June 24-28, 2024. (in press) [2] Xin, J., Frangopol, D.M., & Akiyama, M. (2023). "Deep learning-based life-cycle system reliability assessment of asphalt pavement". In Life-Cycle of Structures and Infrastructure Systems: Proceedings of the Eighth International Symposium on Life-Cycle Civil Engineering (IALCCE 2023), Milan, Italy, July 2-6, 2023, 509-514. CRC Press. https://doi.org/10.1201/9781003323020-60 [3] Lim, S., Xin, J., Akiyama, M., Xu, Z., Li, A., Frangopol, D. M., & Miyazato, S. (2022). "Effects of two corrosion acceleration methods on spatial steel corrosion and structural performance of RC beams". In Bridge Safety, Maintenance, Management, Life-Cycle, Resilience and Sustainability: Proceedings of the Eleventh International Conference on Bridge Maintenance, Safety and Management (IABMAS 2022), Barcelona, Spain, July 11-15, 2022, 253-259. CRC Press. https://doi.org/10.1201/9781003322641-27 [4] Xin, J., Akiyama, M., & Frangopol, D.M. (2021). "Life-cycle cost optimization under uncertainty of asphalt pavement using ANN". The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021). Shanghai, China. (in print) [5] Shintani, M., Akiyama, M., Zhang, M., & Xin, J. (2021). "Probabilistic estimation of structural capacity of corroded RC beams using inspection information and machine learning techniques". The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021). Shanghai, China. (in print) [6] Xin, J., Zhang, M., Akiyama, M., Frangopol, D.M., & Pei, J. (2021). "Life-cycle reliability estimation of asphalt pavement based on machine learning approach", InLife-Cycle Civil Engineering: Innovation, Theory and Practice, Proceedings of the Seventh International Symposium on Life-Cycle Civil Engineering (IALCCE 2020), Shanghai, China, October 27-30, 2020, 246-251. CRC Press. https://doi.org/10.1201/9780429343292 [7] Zhang, M., Shintani, M., Xin, J., & Akiyama, M. (2020). "Prediction of corrosion-induced crack width distribution: Comparing 3D FE and experimental results", Proceedings of the Japan Concrete Institute, 42(2), 1261-1266. 专利 (Patents) 名称 (1) 辛寄语; 刘卧龙; 肖亚军; 佟猛猛 ; 沥青延度试验试样制备仪, 2017-7-7, 中国, 2L.201621448136.X (2) 刘卧龙; 辛寄语; 王守彬; 董浩; 吴世园 ; 一种沥青试验试模清洗装置, 2017-9-29, 中国, ZL201621467814.7 (3) 张久鹏; 刘卧龙; 朱存贞; 辛寄语; 郭琦琪; 裴建中; 谭好奇; 屈甜 ; 一种测试沥青集料界面黏附性 的试验装置及方法, 2020-04-21, 中国, CN201710047482.X 期刊审稿人 (Reviewer) 名称 · Reliability Engineering & System Safety, Elsevier · Structure and Infrastructure Engineering, Taylor & Francis · International Journal of Pavement Engineering, Taylor & Francis · International Journal of Pavement Research and Technology, Springer · Applied Sciences, Sustainability, MDPI 讲授课程 (Teaching Experience) 名称 1. 理海大学 (Lehigh Univ.),土木工程系教学助理 (TA),课程:Structural Reliability of Components and Systems (CEE 406), 2023 秋季; 2. 理海大学 (Lehigh Univ.),土木工程系教学助理 (TA),课程:Life-Cycle of Structural Systems (CEE 431),2023 春季; 3. 早稻田大学 (Waseda Univ,),创造理工学部-教学助理与实验指导 (TA),2019年4月至8月。