澳门新葡萄京app下载,澳门新葡萄京娱乐网站

?
董胜
澳门新葡萄京app下载:系统管理员??发布时间:2017-05-04?? 浏览次数:7841

个人信息

姓名:    董胜

专业:    港口、海岸及近海工程

学系:    澳门新葡萄京app下载海洋工程系

地址:    山东省青岛市松岭路238

邮箱:    dongsh@ouc.edu.cn

电话:    0532-66781125

传真:    0532-66781550

 

主要学历

[1] 1995.03-1997.08      大连理工大学博士

 

学术经历

[1] 1997.07-现在          澳门新葡萄京app下载教授/博导

[2] 1999.10-2001.09     日本京都大学博士后

[3] 2011.03-2011.08     葡萄牙里斯本理工大学合作研究

[4] 2013.06-2013.08     葡萄牙里斯本大学合作研究

[5] 2014.07-2014.10     美国华盛顿大学海洋与大气联合研究所高级研究学者

[6] 2018.01-2019.12     葡萄牙里斯本大学海洋技术与工程中心(CENTEC)合作教授

 

研究方向

[1] 海洋动力环境的数值重构

[2] 海洋环境要素的随机分析

[2] 海洋环境与结构物的作用

[3] 灾害风险评估与工程防灾

 

讲授课程

[1] 本科生课程:工程水文学、海洋工程环境

[2] 研究生课程:数值计算方法、工程随机数据分析

 

科研项目

[1] 2016-2019,国家重点研发计划课题,极地海洋环境条件研究

[2] 2018-2021,国家基金委-山东联合基金项目,山东沿岸多源风暴潮致灾机理及防灾对策研究

[3] 2018-2021,国家自然科学基金项目,北极巴伦支海浮式平台结构设计的环境条件研究

[4] 2014-2019,港口与海洋工程企业委托的工程类项目10余项

 

学术兼职

[1] 国际船舶海洋结构大会(ISSC)委员

[2] 中国水利教育协会高等教育分会理事

[3] 《海洋工程》编辑委员会委员

 

奖励荣誉

[1] 2001,国家海洋局海洋创新成果二等奖

[2] 2002,青岛市科学技术进步一等奖

[3] 2003,青岛市第四届青年科技奖

[4] 2007,教育部新世纪优秀人才计划入选者

[5] 2007,教育部自然科学一等奖

[6] 2009,第六届山东省高等教育教学成果二等奖

[7] 2010,第二届山东省高等学校优秀教材二等奖

[8] 2013,第三届中国大学出版社图书奖优秀教材二等奖

[9] 2014,澳门新葡萄京娱乐网站第十四届优秀博士论文引导奖

[10] 2015ISSC 2015 AWARDS

[11] 2016,本科生优秀毕业论文(设计)优秀引导教师

[12] 2017,中国海洋工程咨询协会海洋工程科学技术一等奖

 

主编著作

[1]   海洋工程环境概论. 澳门新葡萄京娱乐网站出版社, 2005.

[2]   海岸防灾工程. 澳门新葡萄京娱乐网站出版社, 2011.

[3]   海岸工程模型试验. 澳门新葡萄京娱乐网站出版社, 2017.

[4]   数值计算方法——原理、编程及应用. 澳门新葡萄京娱乐网站出版社, 2018.

[5]   港口航道与海岸工程结构可靠度. 人民交通出版社有限企业, 2019.

 

主要论文

[1] The application of Grey Markov model for forecasting annual maximum water level at hydrological station. Journal of Ocean University of China, 2012, 11(1): 13-17.

[2] Numerical simulation of multi-directional random wave transformation in a yacht port. Journal of Ocean University of China, 2012, 11(3): 315-322.

[3] Joint occurrence period of wind speed and wave height based on both service term and risk probability. Journal of Ocean University of China, 2012, 11(4): 488-494.

[4] Bivariate maximum entropy distribution of significant wave height and peak period. Ocean Engineering, 2013, 59: 86-99.

[5] Parameter estimation of the maximum entropy distribution of significant wave height. Journal of Coastal Research, 2013, 29(3): 597-604.

[6] Estimating storm surge intensity with Poisson bivariate maximum entropy distributions based on Copulas. Natural Hazards, 2013, 68(2): 791-807.

[7] Return value estimation of significant wave heights with maximum entropy distribution. Journal of Offshore Mechanics and Arctic Engineering, 2013, 135(3), 031103.

[8] Interval estimations of return wave height based on maximum entropy distribution. Journal of Coastal Research, 2014, 30(5): 967-974.

[9] Prediction of the mooring force of a 2-D floating oil storage tank. Journal of Ocean University of China, 2014, 13(6): 901-910.

[10] Bivariate distribution of group height and group length for ocean waves using the copula method. Coastal Engineering, 2015, 96: 49-61.

[11] Trivariate maximum entropy model of significant wave height, wind speed and relative direction. Renewable Energy, 2015, 78: 538-549.

[12] A Storm surge intensity classification based on extreme water level and concomitant wave height. Journal of Ocean University of China, 2015, 14(2): 237-244.

[13] Long-term characteristics and extreme parameters of currents and sea levels in the Bohai Sea based on 20-year hindcast data. Natural Hazards, 2015, 76(3): 1603-1624.

[14] Study of vertical breakwater reliability based on copulas. Journal of Ocean University of China, 2016, 15(2): 232-240.

[15] Assessments of wave energy in the Bohai Sea, China. Renewable Energy, 2016, 90: 145-156.

[16] Estimation of design sea ice thickness with maximum entropy distribution by particle swarm optimization method. Journal of OUC, 2016, 15(3): 423-428.

[17] Sea state conditions for marine structures’ analysis and model tests. Ocean Engineering, 2016, 119: 309-322.

[18] Assessment of wind energy and wave energy resoures in Weifang sea area. International Journal of Hydrogen Energy, 2016, 41(35): 15805-15811.

[19] A Preliminary Study on the Intensity of Cold Wave Storm Surge of Laizhou Bay. Journal of Ocean University of China, 2016, 15(6): 987-995.

[20] Nonlinear contact between pipeline’s outer wall and slip-on buckle arrestor’s inner wall during buckling process. Journal of OUC, 2017, 16(1): 42-48.

[21] Joint return probability analysis of wind speed and rainfall intensity in typhoon-affected sea area. Natural Hazards, 2017, 86(3): 1193-1205.

[22] Wave transformation over submerged breakwaters by the constrained interpolation profile method. Ocean Engineering, 2017, 120: 294-303.

[23] Long-term statistics of extreme tsunami water height at Crescent City. Journal of Ocean University of China, 2017, 16(3): 437-446.

[24] Met-Ocean design parameter estimation for fixed platform based on copula functions. Journal of Ocean University of China, 2017, 16(4): 635-648.

[25] Study on temporal and spatial characteristics of cold waves in Shandong Province of China. Natural Hazards, 2017, 88(3): 191-219.

[26] Joint Probability Design of Marine Environmental Elements for Wind Turbines. International Journal of Hydrogen Energy, 2017, 42(29): 18595-18601.

[27] Analysis of buoyancy module auxiliary installation technology based on numericalsimulation. Journal of Ocean University of China, 2018, 17(2): 267-280.

[28] Intensity division of the sea ice zones in China. Cold Regions Science and Technology, 2018, 151: 179-187.

[29] Long-term wind and wave energy resource assessment in the South China Sea based on 30-year hindcast data. Ocean Engineering, 2018, 136: 58-75.

[30] Stochastic model to estimate extreme water level for port engineering design. Journal of Ocean University of China, 2018, 17(4): 744-752.

[31] Modelling wave transmission and overtopping based on energy balance equation. Journal of Ocean University of China, 2018, 17(5): 1033-1043.

[32] Wave energy assessment in the China adjacent Seas on the basis of a 20-year SWAN simulation with unstructured grids. Renewable Energy, 2019, 136: 275-295.

[33] Combined bearing capacity of spudcans on double layer deposit of strong-over-weak clays. Journal of Ocean University of China, 2019, 18(1): 133-143.

[34] Spudcan penetration simulation using CEL method with thermo-mechanical coupled analysis. Journal of Ocean University of China, 2019, 18(2): 317-327.

[35] Wave energy assessment based on trivariate distribution of significant wave height, mean period and direction. Applied Ocean Research, 2019, 87: 47-63.

[36] Wind and wave energy resources assessment around the Yangtze River Delta. Ocean Engineering, 2019, 182: 75-89.

[37] Approximate theoretical solution of the movement and erosion of solid particles in a 90° bend. Wear, 2019, 430-431: 233-244.

[38] Long-term and inter-annual variations of tropical cyclones affecting Taiwan region. Regional Studies in Marine Science, 2019, 30, 100721.

 

 

Personal Information

Name:                  Sheng Dong

Title:                    Professor

Department:         Ocean Engineering

Address:               238 Songling Road, Qingdao 266100, China

Office Phone:       +86-532-66781125

E-mail:                 dongsh@ouc.edu.cn

  

Education Background

[1]  1995.03-1997.08    Dalian University of Technology (DUT), China, Ph.D

 

Academic Experience

[1]  1997.08-present    College of Engineering, Ocean University of China

[2]  1999.10-2001.09  Post-doctoral research in DPRI, Kyoto University, Japan

[3]  2011.03-2011.08  Joint research in IST, Technical University of Lisbon

[3]  2013.06-2013.08  Joint research in IST, University of Lisbon

[3]  2014.07-2014.10  Advanced research scholar in University of Washington

 

Research Interests

[1]  Numerical Modelling of Ocean Dynamic Environment

[2]  Stochastic Analysis of Marine Environmental Conditions

[3]  Interaction of Environment Factors and Marine Structures

[3]  Ocean Disaster Assessment and Engineering Prevention

 

Journal Papers

[1] The application of Grey Markov model for forecasting annual maximum water level at hydrological station. Journal of Ocean University of China, 2012, 11(1): 13-17.

[2] Numerical simulation of multi-directional random wave transformation in a yacht port. Journal of Ocean University of China, 2012, 11(3): 315-322.

[3] Joint occurrence period of wind speed and wave height based on both service term and risk probability. Journal of Ocean University of China, 2012, 11(4): 488-494.

[4] Bivariate maximum entropy distribution of significant wave height and peak period. Ocean Engineering, 2013, 59: 86-99.

[5] Parameter estimation of the maximum entropy distribution of significant wave height. Journal of Coastal Research, 2013, 29(3): 597-604.

[6] Estimating storm surge intensity with Poisson bivariate maximum entropy distributions based on Copulas. Natural Hazards, 2013, 68(2): 791-807.

[7] Return value estimation of significant wave heights with maximum entropy distribution. Journal of Offshore Mechanics and Arctic Engineering, 2013, 135(3), 031103.

[8] Interval estimations of return wave height based on maximum entropy distribution. Journal of Coastal Research, 2014, 30(5): 967-974.

[9] Prediction of the mooring force of a 2-D floating oil storage tank. Journal of Ocean University of China, 2014, 13(6): 901-910.

[10] Bivariate distribution of group height and group length for ocean waves using the copula method. Coastal Engineering, 2015, 96: 49-61.

[11] Trivariate maximum entropy model of significant wave height, wind speed and relative direction. Renewable Energy, 2015, 78: 538-549.

[12] A Storm surge intensity classification based on extreme water level and concomitant wave height. Journal of Ocean University of China, 2015, 14(2): 237-244.

[13] Long-term characteristics and extreme parameters of currents and sea levels in the Bohai Sea based on 20-year hindcast data. Natural Hazards, 2015, 76(3): 1603-1624.

[14] Study of vertical breakwater reliability based on copulas. Journal of Ocean University of China, 2016, 15(2): 232-240.

[15] Assessments of wave energy in the Bohai Sea, China. Renewable Energy, 2016, 90: 145-156.

[16] Estimation of design sea ice thickness with maximum entropy distribution by particle swarm optimization method. Journal of OUC, 2016, 15(3): 423-428.

[17] Sea state conditions for marine structures’ analysis and model tests. Ocean Engineering, 2016, 119: 309-322.

[18] Assessment of wind energy and wave energy resoures in Weifang sea area. International Journal of Hydrogen Energy, 2016, 41(35): 15805-15811.

[19] A Preliminary Study on the Intensity of Cold Wave Storm Surge of Laizhou Bay. Journal of Ocean University of China, 2016, 15(6): 987-995.

[20] Nonlinear contact between pipeline’s outer wall and slip-on buckle arrestor’s inner wall during buckling process. Journal of OUC, 2017, 16(1): 42-48.

[21] Joint return probability analysis of wind speed and rainfall intensity in typhoon-affected sea area. Natural Hazards, 2017, 86(3): 1193-1205.

[22] Wave transformation over submerged breakwaters by the constrained interpolation profile method. Ocean Engineering, 2017, 120: 294-303.

[23] Long-term statistics of extreme tsunami water height at Crescent City. Journal of Ocean University of China, 2017, 16(3): 437-446.

[24] Met-Ocean design parameter estimation for fixed platform based on copula functions. Journal of Ocean University of China, 2017, 16(4): 635-648.

[25] Study on temporal and spatial characteristics of cold waves in Shandong Province of China. Natural Hazards, 2017, 88(3): 191-219.

[26] Joint Probability Design of Marine Environmental Elements for Wind Turbines. International Journal of Hydrogen Energy, 2017, 42(29): 18595-18601.

[27] Analysis of buoyancy module auxiliary installation technology based on numericalsimulation. Journal of Ocean University of China, 2018, 17(2): 267-280.

[28] Intensity division of the sea ice zones in China. Cold Regions Science and Technology, 2018, 151: 179-187.

[29] Long-term wind and wave energy resource assessment in the South China Sea based on 30-year hindcast data. Ocean Engineering, 2018, 136: 58-75.

[30] Stochastic model to estimate extreme water level for port engineering design. Journal of Ocean University of China, 2018, 17(4): 744-752.

[31] Modelling wave transmission and overtopping based on energy balance equation. Journal of Ocean University of China, 2018, 17(5): 1033-1043.

[32] Wave energy assessment in the China adjacent Seas on the basis of a 20-year SWAN simulation with unstructured grids. Renewable Energy, 2019, 136: 275-295.

[33] Combined bearing capacity of spudcans on double layer deposit of strong-over-weak clays. Journal of Ocean University of China, 2019, 18(1): 133-143.

[34] Spudcan penetration simulation using CEL method with thermo-mechanical coupled analysis. Journal of Ocean University of China, 2019, 18(2): 317-327.

[35] Wave energy assessment based on trivariate distribution of significant wave height, mean period and direction. Applied Ocean Research, 2019, 87: 47-63.

[36] Wind and wave energy resources assessment around the Yangtze River Delta. Ocean Engineering, 2019, 182: 75-89.

[37] Approximate theoretical solution of the movement and erosion of solid particles in a 90° bend. Wear, 2019, 430-431: 233-244.

[38] Long-term and inter-annual variations of tropical cyclones affecting Taiwan region. Regional Studies in Marine Science, 2019, 30, 100721.

 

?
XML 地图 | Sitemap 地图