Publications by Ian Smith | EPFL Graph Search

Related publications (220)

Robust system identification and model predictions in the presence of systematic uncertainty

Model-based data-interpretation techniques are increasingly used to improve the knowledge of complex system behavior. Physics-based models that are identified using measurement data are generally used for extrapolation to predict system behavior under othe ...

Elsevier2015

Increasing occupant localization precision through identification of footstep-contact dynamics

Ian Smith, Slah Drira

Information regarding occupants inside buildings has the potential to improve security, energy management, and caregiving. Typical sensing approaches for occupant localization rely on mobile devices and cameras. These systems compromise privacy. Occupant l ...

2021

Design and testing of a low-energy and -carbon prototype structure that adapts to loading through shape morphing

Ian Smith, Gennaro Senatore, Arka Prabhata Reksowardojo

This paper presents an experimental validation of a new design method for adaptive structures that counteract the effect of loading through shape morphing. The structure is designed to morph into target shapes that are optimal to take external loads throug ...

PERGAMON-ELSEVIER SCIENCE LTD2022

Experimental Testing of a Small-Scale Truss Beam That Adapts to Loads Through Large Shape Changes

Ian Smith, Gennaro Senatore, Arka Prabhata Reksowardojo

Adaptive structures have the ability to modify their shape and internal forces through sensing and actuation in order to maintain optimal performance under changing actions. Previous studies have shown that substantial whole-life energy savings with respec ...

2019

Analysis of clustered tensegrity structures using a modified dynamic relaxation algorithm

Ian Smith, Nizar Bel Hadj Ali, Landolf-Giosef-Anastasios Rhode-Barbarigos

Tensegrities are spatial, reticulated and lightweight structures that are increasingly investigated as structural solutions for active and deployable structures. Tensegrity systems are composed only of axially loaded elements and this provides opportunitie ...

Elsevier2011

Comparing methodologies for structural identification and fatigue life prediction of a highway bridge

Ian Smith, Alain Nussbaumer, Sai Ganesh Sarvotham Pai

Accurate measurement-data interpretation leads to increased understanding of structural behavior and enhanced asset-management decision making. In this paper, four data-interpretation methodologies, residual minimization, traditional Bayesian model updatin ...

2018

Design and control of a prototype structure that adapts to loading through large shape changes

Ian Smith, Gennaro Senatore, Arka Prabhata Reksowardojo

This paper reports on experimental testing that was carried out on a prototype adaptive structure designed to counteract the effect of loading through controlled large shape changes. The prototype is 6.6 m truss equipped with 12 linear actuators which has ...

ELSEVIER2020

Methodology for selecting measurement points that optimize information gain for model updating

Ian Smith, Numa Joy Bertola

Information collected through sensor measurements has the potential to improve knowledge of complex-system behavior, leading to better decisions related to system management. In this situation, and particularly when using digital twins, the quality of sens ...

2023

Methodologies for model-free data interpretation of civil engineering structures

Ian Smith

Structural health monitoring (SHM) has the potential to provide quantitative and reliable data on the real condition of structures, observe the evolution of their behaviour and detect degradation This paper presents two methodologies for model-free data in ...

Elsevier2010

Model-Based Occupant Tracking Using Slab-Vibration Measurements

Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira

Sensor-based occupant tracking has the potential to enhance knowledge of the utilization of buildings. Occupancy-tracking strategies using footstep-induced floor vibrations may be beneficial for thermal-load prediction, security enhancement, and care-givin ...

2019

Methodology Maps for Model-Based Sensor-Data Interpretation to Support Civil-Infrastructure Management

Ian Smith

With increasing urbanization and depleting reserves of raw materials for construction, sustainable management of existing infrastructure will be an important challenge in this century. Structural sensing has the potential to increase knowledge of infrastru ...

2022

Configuring and enhancing measurement systems for damage identification

Ian Smith

Engineers often decide to measure structures upon signs of damage to determine its extent and its location. Measurement locations, sensor types and numbers of sensors are selected based on judgment and experience. Rational and systematic methods for evalua ...

Elsevier2009

Using footstep-induced vibrations for occupant detection and recognition in buildings

Ian Smith, Yves Sylvain Gilles Reuland, Sai Ganesh Sarvotham Pai, Slah Drira

Occupant detection and recognition support functional goals such as security, healthcare, and energy management in buildings. Typical sensing approaches, such as smartphones and cameras, undermine the privacy of building occupants and inherently affect the ...

2021

Reducing the uncertainty on the structural behaviour of existing structures through data interpretation

Ian Smith, Pierino Lestuzzi, Yves Sylvain Gilles Reuland

This paper presents a methodology for reducing the uncertainty related to the structural behaviour of an existing building in view of a vulnerability assessment regarding future earthquake actions. Estimating the lateral load resistance is a step towards e ...

2015

A framework for occupancy detection and tracking using floor-vibration signals

Ian Smith, Slah Drira

In sensed buildings, information related to occupant movement helps optimize important func-tionalities such as caregiving, energy management, and security enhancement. Typical sensing approaches for occupant tracking rely on mobile devices and cameras. Th ...

2022

Predicting the Usefulness of Monitoring for Identifying the Behavior of Structures

Ian Smith, James-Alexandre Goulet

Structures can be better understood when measurement data are used to improve the modeling of structural behavior. Our capacity to interpret data depends on aspects such as the choice of model class, model parameters (and their range of possible values), a ...

American Society of Civil Engineers2013

Methodologies for predicting natural frequency variation of a suspension bridge

Ian Smith, Ngoc Thanh Trinh, Irwanda Laory

In vibration-based structural health monitoring, changes in the natural frequency of a structure are used to identify changes in the structural conditions due to damage and deterioration. However, natural frequency values also vary with changes in environm ...

Elsevier2014

Evaluating seismic retrofitting efficiency through ambient vibration tests and analytical models

Ian Smith, Pierino Lestuzzi, Yves Sylvain Gilles Reuland, Angelo Garofano

Economic and environmental imperatives lead to an ever growing need to extend the service life of the existing building stock without putting the users at risk. In zones prone to moderate seismic hazard, many buildings were built without considering seismi ...

2015

Iterative structural identification framework for evaluation of existing structures

Ian Smith, Romain Pasquier

Evaluation of aging infrastructure has been a world-wide concern for decades due to its economic, ecological and societal importance. Existing structures usually have large amounts of unknown reserve capacity that may be evaluated though structural identif ...

2016

A Combined Approach to Measurement-system-design and System Identification in Building Energy Retrofits

Ian Smith

Effective building-energy retrofits are needed to enhance the energy efficiency of existing buildings. However, discrepancies between predicted and actual energy demand, known as the performance gap, undermine retrofit effectiveness. This work addresses th ...

ELSEVIER SCIENCE SA2025