工程可靠性与随机力学国际联合研究中心

2025年第19期（总第111期）学术报告

工程力学研究中心第66期学术报告

土木工程学院院级高等讲堂

报告主题

TOPIC

物理、数据与认知不确定性处理中的挑战与机遇

Challenges and opportunities in dealing with uncertainty in physics, data and knowledge

报告人

SPEAKER

Dr. Alice Cicirello

Assistant Professor, Engineering Department, Cambridge University, UK

报告时间

TIME

2025年11月11日（周二）上午10:30-11:30

报告地点

VENUE

同济大学土木大楼 A305

主持人

CHAIR

彭勇波教授、陈建兵教授

联系人：牛立志

报告内容

Abstract

This talk will describe recent advances in inverse uncertainty quantification for structural dynamics, and current open challenges. Particular focus will be given on discussing challenges in dealing with uncertainty in the data, physics and knowledge encountered in real-world engineering applications, especially when hybrid physics-data (i.e. physics-enhanced machine learning) models are developed.

Uncertainty in the “data” will be discussed in terms of small volume of data and limited knowledge on prior distribution, multimodal distributions, spatial measurements correlation,  and the need to obtain virtual measurements at critical locations.

The problem of using a physics-based model that is not “complete” or correct in a hybrid physics-data model,  would lead to a wrong uncertainty quantification of the model parameters. A “disentanglement” strategy is going to be presented to identify and attribute variability observed in response measurements of an engineering system  to variability stemming from the modelled physics, domain, and class influences is going to be introduced.

Finally, an approach for dealing with the uncertainty in the knowledge of the force function model to be used to described non-smooth nonlinearities is going to be presented.

Real-world engineering applications would span from laboratory setups to bridges and offshore wind turbines.

报告人简介

Speaker Bio

Dr Alice Cicirello is a University Assistant Professor in Applied Mechanics at the Cambridge University Engineering Department and a Fellow at Churchill College. She is the founder and head of the Data, Vibration and Uncertainty group (https://sites.google.com/view/dvugroup) and Executive board member of the European Association of Structural Dynamics. Alice was the chair of the first three editions of the workshops on Physics-enhancing Machine Learning (PEML) in Applied Mechanics, which was run as a  3-day event in 2025 at the Headquarters of the Institute of Physics.

Alice obtained her PhD from the University of Cambridge in 2013. She was a Marie Curie Early Stage Researcher (2009-2012) and a Research Associate (2012-2014) at the same institution. Alice worked as a Senior Research Scientist at SLB (2014-2017) and returned to academia as a Lecturer at the University of Oxford (Engineering Science Department and Balliol College, 2017-2019), and then continued as an Associate Professor and Section Head at TU Delft (2020-2023). Alice was also an Alexander von Humboldt Experienced Research Fellow (2023- 25).

Alice is serving in the Editorial boards of Data-Centric Engineering, Machine Learning: Engineering, Advances in Engineering Software, Machine Learning: Engineering, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, and ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, and has served in the scientific and organising committees of several international workshops and conferences. Alice held visiting positions at several research institutions, including MIT, the Alan Turing Institute, and the University of Oxford.