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SUMMARY:Honorary Lecture - Prof. Ian Smith
DTSTART:20221104T171500
DTEND:20221104T190000
DTSTAMP:20260508T053626Z
UID:d59694e88aba8deee62c4a7e78cfcbf38afc5128d47e7a5fe35a0169
CATEGORIES:Inaugural lectures - Honorary Lecture
DESCRIPTION:Prof Ian Smith\nDate: 4 November 2022\nTime: \n\n	17:15-17:2
 5: Welcome address by Prof. Katrin Beyer\, Associate Dean ENAC\n	17:25-18:
 20: Lecture\n	18:20-18:30: Honorary Diploma and closure\n	18:30: Aperitif\
 n\nPlace: CO1\n\nTitle:\n“Structures\, sensors\, populations and sustai
 nability”\n\nAbstract\nCreation and management of civil infrastructure\,
  as well as buildings\, are activities that are one of the worst offenders
  in terms of climate impact\, energy consumption and non-renewable materia
 l use. Since these activities are core business for one of the largest of 
 all industries\, it is no longer possible to carry out “business as usua
 l” for construction. Fortunately\, there are many ways to do better. Thi
 s talk examines the use of sensing (including full-field techniques) to im
 prove knowledge of real structural behavior. The first part describes the 
 challenges associated with asset management in the context of uncertainty\
 , particularly systematic uncertainty which is unavoidable for large full-
 scale structures. A data-interpretation methodology is described that allo
 ws uncertainties to be represented clearly and understandably through popu
 lations of candidate behavior models. The population methodology also allo
 ws use of a sensor-system design strategy through use of a joint-entropy c
 riterion. Results have revealed much reserve capacity above code requireme
 nts (over-design). The next part of the talk is an overview of research in
 to adaptive structures. Three laboratory structures are described. Perform
 ance attributes such as learning\, self-diagnosis\, adaptation and deploym
 ent are discussed. The last structure was used to validate a new design co
 ncept based on whole-life energy use. Finally\, a study on occupant detect
 ion and location is used to demonstrate the ability of the data-interpreta
 tion population methodology to be used more generally in situations of unc
 ertainty. The appropriate use of measurements and populations have much po
 tential to improve sustainability through whole-life energy design\, repla
 cement avoidance\, well designed retrofitting and possibly\, less conserva
 tive design codes.\n\nAbout the speaker\nIan Smith came to EPFL in 1982 (f
 or two years) after receiving his PhD from Cambridge University. He contin
 ued his research into fatigue of steel structures at ICOM and in 1991\, he
  moved to the Artificial Intelligence Laboratory in the Computer Science D
 epartment. Five years later\, he returned to civil engineering at IMAC as 
 an Assistant Professor. He became an Associate Professor in 2000 and a Ful
 l Professor in 2005. His research interests are on intersections of comput
 er science with the built environment. In 2003\, he co-authored the text b
 ook Fundamentals of Computer-Aided Engineering (Wiley) and the 2nd edition
  appeared in June 2013. In 2004\, he was elected to the Swiss Academy of E
 ngineering Sciences and in 2005\, he received the Computing in Civil Engin
 eering Award from the ASCE. He has been an Adjunct Professor at Carnegie M
 ellon University\, USA since 2011. From 2010 to 2020\, he directed a secon
 d research group in Asia as Principal Investigator at the ETH Future Citie
 s Laboratory\, CREATE\, Singapore. In 2022\, he was elected to the Nationa
 l Academy of Construction\, USA. From March 2022\, he is the Founding Dir
 ector of the Georg Nemetschek Institute AI for the Built World at TU Munic
 h.\n\n\n 
LOCATION:CO1 https://plan.epfl.ch/?room==CO%201 https://epfl.zoom.us/j/656
 40345552
STATUS:CONFIRMED
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