華中科技大學(xué)機(jī)械學(xué)院研究生導(dǎo)師：蔣平

• 2026考研英語(yǔ)全程班 6班
• 26考研全科上岸規(guī)劃營(yíng)「擇校▪規(guī)劃▪備考」
• 華中科技大學(xué)2026考研專業(yè)課復(fù)習(xí)資料「真題▪筆記▪講義▪題庫(kù)」

個(gè)人基本情況

姓名：蔣平

電話：

職稱：教授

郵箱：jiangping@hust.edu.cn

蔣平(Jiang Ping，Professor)，男，1981年11月生，湖南桃源人，華中科技大學(xué)機(jī)械科學(xué)與工程學(xué)院教授，博士研究生導(dǎo)師。“數(shù)字制造裝備與技術(shù)國(guó)家重點(diǎn)實(shí)驗(yàn)室”與“制造裝備數(shù)字化國(guó)家工程研究中心”成員。2004年和2009年于華中科技大學(xué)分別獲機(jī)械設(shè)計(jì)制造及其自動(dòng)化專業(yè)學(xué)士學(xué)位和機(jī)械工程專業(yè)博士學(xué)位。國(guó)際期刊《Mathematical Biosciences and Engineering》Associate Editor。以第一作者/通訊作者發(fā)表SCI論文50余篇，出版專著1部，授權(quán)發(fā)明專利6項(xiàng)、軟件著作權(quán)6項(xiàng)。獲湖北省2017年度科技進(jìn)步一等獎(jiǎng)，獲國(guó)際期刊《Journal of Engineering Design》2013年度最佳論文獎(jiǎng)。

主要研究方向

多能場(chǎng)復(fù)合焊接、高功率激光焊接、激光高效清洗

多學(xué)科穩(wěn)健性設(shè)計(jì)優(yōu)化、基于變精度模型的設(shè)計(jì)優(yōu)化

開設(shè)課程近年的科研項(xiàng)目、專著與論文、專利、獲獎(jiǎng)承擔(dān)的科研項(xiàng)目：

1. 國(guó)家自然科學(xué)基金面上項(xiàng)目“基于變復(fù)雜度近似模型不確定性量化的多目標(biāo)穩(wěn)健性設(shè)計(jì)優(yōu)化方法研究”(51775203)，2018.1-2021.12。(主持)

2. 國(guó)家自然科學(xué)基金青年基金“基于自適應(yīng)采樣和變復(fù)雜度近似的多學(xué)科穩(wěn)健性設(shè)計(jì)優(yōu)化方法研究”(51505163)，2016.1-2018.12。(主持)

3. 國(guó)家自然科學(xué)基金專項(xiàng)基金“大型復(fù)雜結(jié)構(gòu)件高功率激光焊接的基礎(chǔ)研究”(51323009)，2014.1-2017.12。(聯(lián)合承擔(dān))

4. 國(guó)家973項(xiàng)目“高服役性能海洋動(dòng)力定位裝備制造的基礎(chǔ)研究”子課題3“激光-電弧-磁場(chǎng)復(fù)合作用下大型厚壁構(gòu)件成形成性原理”(2014CB046703)，2014.1-2018.8。(聯(lián)合承擔(dān))

代表性專著與論文：

1. 邵新宇, 蔣平, 王春明. 激光及其復(fù)合能場(chǎng)焊接機(jī)理與工藝. 科學(xué)出版社, 2018.

2. Shaoning Geng, Ping Jiang*, Xinyu Shao, Gaoyang Mi, Han Wu, Yuewei Ai, Chunming Wang. Effects of back-diffusion on solidification cracking susceptibility of Al-Mg alloys during welding: a phase-field study. Acta Materialia, 2018, 160: 85-96.

3. Tingli Xie, Ping Jiang*, Qi Zhou, Leshi Shu, Yahui Zhang, Xiangzheng Meng, Hua Wei. Advanced multi-objective robust optimization under interval uncertainty using kriging and support vector machine. Journal of Computing and Information Science in Engineering-Transactions of the ASME, 2018, 18: 041012.

4. Leshi Shu, Ping Jiang*, Qi Zhou, Xinyu Shao, Jiexiang Hu, Xiangzheng Meng. An on-line variable fidelity metamodel assisted multi-objective genetic algorithm for engineering design optimization. Applied Soft Computing, 2018, 66: 438–448.

5. Yuewei Ai, Ping Jiang*, Chunming Wang, Gaoyang Mi, Shaoning Geng. Experimental and numerical analysis of molten pool and keyhole profile during high-power deep-penetration laser welding. International Journal of Heat and Mass Transfer, 2018, 126: 779–789.

6. Shaoning Geng, Ping Jiang*, Xinyu Shao, Gaoyang Mi, Han Wu, Yuewei Ai, Chunming Wang, Chu Han, Rong Chen, Wei Liu. Comparison of solidification cracking susceptibility between Al-Mg and Al-Cu alloys during welding: a phase-field study. Scripta Materialia, 2018, 150: 120-124.

7. Qi Zhou, Ping Jiang*, Xiang Huang, Feng Zhang, Taotao Zhou. A multi-objective robust optimization approach based on Gaussian process model. Structural and Multidisciplinary Optimization, 2018, 57: 213–233.

8. Ping Jiang, Tingli Xie, Qi Zhou, Xinyu Shao, Jiexiang Hu, Longchao Cao. A space mapping method based on Gaussian process model for variable fidelity metamodeling. Simulation Modelling Practice and Theory, 2018, 81: 64–84.

9. Ping Jiang, Yahui Zhang, Qi Zhou, Xinyu Shao, Jiexiang Hu, Leshi Shu. An adaptive sampling strategy for Kriging metamodel based on Delaunay triangulation and TOPSIS. Applied Intelligence, 2018, 48: 1644–1656.

10. Rong Chen, Ping Jiang*, Xinyu Shao, Gaoyang Mi, Chunming Wang. Effect of magnetic field applied during laser-arc hybrid welding in improving the pitting resistance of the welded zone in austenitic stainless steel. Corrosion Science, 2017, 126: 385-391

11. Qi Zhou, Yan Wang, Ping Jiang*, Xinyu Shao, Jiexiang Hu, Longchao Cao, Xiangzheng Meng. An active learning radial basis function modeling method based on self-organization maps for simulation-based design problems. Knowledge-Based Systems, 2017, 131: 10–27.

12. Ping Jiang, Chaochao Wang, Qi Zhou, Xinyu Shao, Leshi Shu, Xiongbin Li. Optimization of laser welding process parameters of stainless steel 316L using FEM, Kriging and NSGA-II, Advances in Engineering Software, 2016, 99: 147-160