近期论文
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[1] Liu X, Ji X, Lei L. Surrogate-based drag optimization of Autonomous Remotely Vehicle using an improved Sequentially Constrained Monte Carlo Method[J]. Ocean Engineering, 2024, 297: 117047. (JCR一区, T1, IF 5)
[2] Lei L, Liu X(通讯), Yang G. Unsupervised time-frequency environment perception model for underwater vehicle in irregular ocean[J]. Ocean Engineering, 2023, 275: 114086. (JCR一区, T1, IF 5)
[3] Liu X, Wan D, Lei L. Multi-fidelity model and reduced-order method for comprehensive hydrodynamic performance optimization and prediction of JBC ship[J]. Ocean Engineering, 2023, 267: 113321. (JCR一区, T1, IF 5)
[4] Lei L, Liu X(通讯), Yang G. Incremental residual learning-based dynamic modeling and stability analysis for multipower underwater vehicles[J]. Mechanism and Machine Theory, 2022, 178: 105088. (JCR一区, T2, IF 5.2)
[5] Liu X, Zhao W, Wan D. Multi-fidelity Co-Kriging surrogate model for ship hull form optimization[J]. Ocean Engineering, 2022, 243: 110239. (JCR一区, T1, IF 5)
[6] Liu X, Zhao W, Wan D. Linear reduced order method for design-space dimensionality reduction and flow-field learning in hull form optimization[J]. Ocean Engineering, 2021, 237: 109680. (JCR一区, T1, IF 5)
[7] Liu X, Zhao W, Wan D. Hull form optimization based on calm-water wave drag with or without generating bulbous bow[J]. Applied Ocean Research, 2021, 116: 102861. (JCR二区, T2, IF 4.3)
[8] Liu X, Zhao W, Wan D. Optimization of the roll motion for box-shaped hull section with anti-rolling sloshing tanks and fins in beam waves[J]. Journal of Hydrodynamics, 2021, 33(4): 688-697. (JCR二区, T1, IF 2.983)
[9] Liu X, Chen S, Zhao W, et al. Liutex-based centripetal force field model for improving the resistance and wake performances of JBC ship sailing in calm water[J]. Journal of Hydrodynamics, 2021, 33(3): 494-502. (JCR二区, T1, IF 2.983)
[10] 刘鑫旺, 沈艳. 一道有关积分中值定理的全国大学生数学竞赛试题的探讨[J]. 大学数学, 2022, 38(6): 96-100.
[11] 凌焕章, 刘鑫旺, 沈艳. 利用高阶泰勒公式解决一类和式极限问题——以一道全国大学生数学竞赛试题为例[J]. 高等数学研究, 2022, 25(6): 51-54.
[12] 刘志强, 刘鑫旺, 万德成. 基于CFD数值模拟和模型试验的三体船片体位置优化[J]. 中国造船, 2022, 63(2): 116-125. (EI, T1, 检索号: 20222112153433)
[13] 刘鑫旺, 万德成. 豪华邮轮多航速兴波阻力的船型优化[J]. 中国舰船研究, 2020, 15(5): 1-10, 40. (T1)
[14] 刘鑫旺, 万德成. 高速四体船片体间兴波干扰数值分析[J]. 中国造船, 2017, 58: 140-151. (EI, T1, 检索号: 20180204634728)
发表的会议论文有：
[1] 孙旭, 刘鑫旺, 万德成. 侧体布局Wigley 三体船阻力与耐波的综合性能优化[C]. 第八届全国船舶与海洋工程CFD会议论文集, 2023年11月10-11月13日, 黑龙江哈尔滨, pp. 433-444.
[2] 姬小航, 刘鑫旺, 万德成. 基于改进序列约束蒙特卡洛方法的ARV总阻力优化研究[C]. 第三十四届全国水动力学研讨会暨第十七届全国水动力学学术会议文集, 2023年10月27-10月30日, 浙江宁波, pp. 1725-1732.
[3] Liu Z, Liu X, Wan D, Xu J. Ship resistance and wake optimization of JBC considering hull-propeller interaction based on CFD[C]. Proceeding of the 31st International Ocean and Polar Engineering Conference, June 20-25, 2021, Rhodes, Greece, pp. 2549-2556. (EI, 检索号: 20213810919608)
[4] Liu X, Wan D, Abdel-Maksoud M. Comparative study of hull form optimization with or without design-space dimensionality reduction[C]. Proceeding of the 30th International Ocean and Polar Engineering Conference, October 11-16, 2020, Shanghai, China, pp. 3446-3454. (EI, 检索号: 20203809195604)
[5] Liu X, Wan D, Hu C. Multi-objective hull form optimization of trimaran’s total drag at different speeds[C]. Proceeding of the 30th International Ocean and Polar Engineering Conference, October 11-16, 2020, Shanghai, China, pp. 3850-3857. (EI, 检索号: 20203809195375)
[6] Wang N, Liu X, Wan D. Comparative study of trimaran’s resistance optimization by potential/viscous-flow methods[C]. Proceedings of the 14th ISOPE Pacific-Asia Offshore Mechanics Symposium, November 22-25, 2020, Dalian, China, pp. 122-129. (EI, 检索号: 20205109648445)
[7] Liu Z, Liu X, Wan D. Wigley hull design optimization based on artificial neural network and genetic algorithm[C]. Proceedings of the 14th ISOPE Pacific-Asia Offshore Mechanics Symposium, November 22-25, 2020, Dalian, China, pp. 423-428. (EI, 检索号: 20205109648380)
[8] 刘鑫旺, 万德成. 船型优化中降阶模型与近似模型结合的流场学习与预报方法[C]. 第三十一届全国水动力学研讨会暨第十六届全国水动力学学术会议文集, 2020年10月30-11月1日, 福建厦门, pp. 933-946.
[9] 刘志强, 刘鑫旺, 万德成. 船型优化中不同近似模型精度分析[C]. 第三十一届全国水动力学研讨会暨第十六届全国水动力学学术会议文集，2020年10月30-11月1日, 福建厦门, pp. 872-890.
[10] 李乐宇, 刘鑫旺, 万德成. 基于黏流对三体船主体与片体间兴波干扰对其阻力的影响分析[C]. 第三十一届全国水动力学研讨会暨第十六届全国水动力学学术会议文集, 2020年10月30-11月1日, 福建厦门, pp. 1840-1848.
[11] Liu X, Wan D, Chen G, Hu C. Wigley hull form optimization with or without bulbous bow[C]. Proceedings of the 29th International Ocean and Polar Engineering Conference, Honolulu, June 16-21, 2019, Hawaii, USA, pp.4486-4493. (EI, 检索号: 20200908211564)
[12] 刘鑫旺, 万德成. 豪华邮轮多航速兴波阻力的船型优化[C]. 第二届中国舰船研究创新论坛文集, 黑龙江哈尔滨, 2019 年 10 月 9-11 日, pp. 486-497.
[13] 刘鑫旺, 詹开宇, 万德成. 势流理论评估下三体船主体船型及片体间距优化[C]. 第十九届中国海洋(岸)工程学术讨论会文集, 重庆, 2019年10月11-13日, pp. 203-208.
[14] Liu X, Wan D, Chen G. Kriging-based surrogate model combined with weighted expected improvement for ship hull form optimization[C]. Proceedings of the ASME 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2018, June 17-22, 2018, Madrid, Spain, OMAE2018-78388. (EI, 检索号: 20184406004287)
[15] Liu X, Wang J, Wan D. Hull form optimization design of KCS at full speed range based on resistance performance in calm water[C]. Proceedings of the 28th International Ocean and Polar Engineering Conference, June 10-15, 2018, Sapporo, Japan, pp. 626-632. (EI, 检索号: 20183805845100)
[16] Liu X, Wan D. Hull form optimization of JBC based on resistance and propulsion performances[C]. Proceedings of the 13th OpenFOAM Workshop, June 24-29, 2018, Shanghai, China, pp. 400-403.
[17] 刘鑫旺, 万德成. 高性能多体船快速性和耐波性CFD预报[C]. 协同创新 砥砺奋进—船舶力学学术委员会第九次全体会议文集, 2018年8月22-24日, 江苏无锡, pp. 154-158.
[18] Liu X, Miao A, Wan D. CFD-based hull form multi-objective optimization for better Resistance and Wake Performances[C]. International Workshop on Ship and Marine Hydrodynamics, Keelung, November 5-8, 2017, Taiwan, China, No. 393.
[19] Liu X, Miao A, Wan D. Numerical study of resistance performance of super-slender catamaran in high speed[C]. Proceedings of 22nd International Conference on High Performance Marine Vessels and China International Forum on Yacht Design and Construction Technology, April 28, 2017, Shanghai, China, pp. 11-20.
[20] 缪爱琴, 刘鑫旺, 万德成. 基于MOPSO算法的船舶兴波阻力多目标船型优化[C]. 第二十八届全国水动力学研讨会暨第十四届全国水动力学学术会议文集, 2017年8月8-13日, 吉林长春, pp. 1364-1373.
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