题目：优化方法在岩土工程中的实践
时间：2019年11月22日15:30
地点：综合实验1号楼208室
报告人：尹振宇 香港理工大学土木与环境工程系副教授
摘要:随着岩土力学理论的发展，高级的土体本构模型不断涌现，同时模型参数也呈现增加的趋势且难以简单确定。但长期以来，由于受模型选择和参数识别方法发展的限制，无法有效、及时地将高级理论应用到实际工程中来，一定程度上造成了理论的浪费。本报告介绍了现有优化算法在岩土工程中的应用，归纳和总结了不同优化方法在识别参数以及其他方面的优缺点。以从旁压试验和基坑开挖为例对比了五种典型优化算法(遗传算法GA、模拟退火算法SA、粒子群算法PSO、进化差分算法DE和蜂群算法ABC)在识别摩尔库伦参数中的表现。详述了实数编码遗传算法和差分进化算法的改进及验证。应用优化方法讨论了如何选择砂土模拟中所需的本构特征、参数识别中目标试验的类型、数量及应变水平。以基坑工程为例，介绍了基于优化理论的本构模型选择和参数识别的工程应用。最后，详述了多目标进化差分算法的改进及其在本构参数识别和工程中的应用。
尹振宇博士，香港理工大学土木与环境工程系副教授
尹振宇，1997年获浙江大学建筑工程专业学士学位，2006年获法国岩土工程专业博士学位。曾先后学习和任职于浙江嘉华建筑设计有限公司、法国南特中央理工大学(Ecole Centrale de Nantes)、同济大学、英国斯特斯克莱德大学(University of Strathclyde)、芬兰赫尔辛基工业大学(Helsinki University of Technology)、美国马萨诸塞大学(University of Massachussettts, Amherst)、上海交通大学、香港理工大学，曾于2011年入选上海市特聘教授“东方学者”。兼任美国土木工程师协会（ASCE）“粒状材料专业委员会”委员及中国多个土力学专业委员会委员，日本土工（S & F）、加拿大土工（Can.Geot. J.）等期刊编委，主要从事土力学与岩土工程方面的教学和研究，近年来在国际核心刊物上发表SCI论文130余篇，WOS的H指数达32。
尹振宇博士的主要研究方向：（1）土体宏微观特性及本构关系；（2）岩土工程模型试验及数值分析；（3）人工智能在岩土工程中的应用。
Title: Practice of Optimisation Theory in Geotechnical Engineering
Abstract:In recent decades, various advanced constitutive models for soils have sprung up. The identification of parameters and selection of constitutive models have become one of the hotspots and difficulties in geotechnical engineering, even the engineers are at a loss. Therefore, the purpose of this presentation is to deal with how to intelligently identify models and their parameters, and how to apply them to engineering practice. To this end, the presentation first systematically introduces the basic principles and application fields of various optimization algorithms, and compares the advantages and disadvantages of several typical optimization algorithms in parameter identification, and then presents how to improve the performance of optimization-based parameter identification taking the genetic algorithm and differential evolution algorithm as examples. Several typical geotechnical problems are selected to illustrate the practice of optimization theory, such as: (1) the development of empirical correlations for key mechanical parameters of soils; (2) the parameter identification of natural soft structured clay and granular materials with proposing the least number of objective tests and the type of objective tests; (3) the model selection among various advanced models and critical state related formula; (4) the improvement of multi-objective differential evolution algorithm with its application in updating of predictions during the engineering construction.
Dr Zhen-Yu YIN,Associate Professorof Geotechnics at The Hong Kong Polytechnic University.
Dr. Yin was graduated from Zhejiang University in 1997 for BSc, and then worked as engineer at Zhejiang Jiahua Architecture Design Institute for 5 years. He obtained MSc and PhD in Geotechnical Engineering at Ecole Centrale de Nantes in France in 2003 and 2006.
After PhD, he worked as research and teaching fellow mainly at Helsinki University of Technology (Finland), University of Strathclyde (UK), University of Massachusetts (Umass-Amherst, USA), Shanghai Jiao Tong University, Tongji University and Ecole Centrale de Nantes in France, and HK PolyU.
Dr. Yin’s research interests include: (1) constitutive modeling of soils from micro to macro; (2) finite element analysis for geotechnical engineering; (3) application of artificial intelligence in geotechnics. Since 2008, he has published over 130 SCI articles in peer reviewed international journals with H-index of WOS of 32.
Dr. Yin leads rresearch programmes funded by NSFC, ANR, EU-PF7, RGC etc.He served as member of granular materials committee of American Society of Civil Engineers since 2012. He is currently Editorial Board Member of “Canadian Geotechnical Journal”, “Soils and Foundations”.
