Publications by Ian Smith | EPFL Graph Search

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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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

This paper presents an approach for model identifiability that builds upon recent research into measurement data interpretation. The objective of this approach is to determine probabilistically to what degree the number of models able to explain a measured behaviour can be reduced in comparison to the initial solution space. The procedure is intended to be used prior to obtaining measurements from full-scale testing. The new methodology evaluates the probability of occurrence of two performance indices; the

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 ...

Tensegrity structures are spatial systems that are composed of tension and compression components in a self-equilibrated prestress stable state. Although tensegrity systems were first introduced in 1950s, few examples have been used for civil engineering purposes. In this paper, tensegrity-ring modules are used for a deployable pedestrian bridge. Ring modules belong to a special family of tensegrity systems composed of a single strut circuit. Assembled in a “hollow-rope” structure, ring modules were shown t

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 ...

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 ...

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 ...

Current infrastructure is designed and built such that it must simultaneously comply with all possible loads. This leads to overdesigned structures that are inefficient in terms energy and cost. A structure that can self-identify damage, adapt, and learn for future events addresses the emerging field of intelligent infrastructure through inspiration from biology. The required material and embodied energy of structural elements is reduced while maintaining structural integrity with a small increase in operat

Ian Smith

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

Increasing occupant localization precision through identification of footstep-contact dynamics

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

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

Analysis of clustered tensegrity structures using a modified dynamic relaxation algorithm

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

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

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

Methodologies for model-free data interpretation of civil engineering structures

Model-Based Occupant Tracking Using Slab-Vibration Measurements

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

Configuring and enhancing measurement systems for damage identification

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

Predicting Usefulness of Measuring Structures during Load Tests

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

Deployment aspects of a tensegrity-ring pedestrian bridge

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

Predicting the Usefulness of Monitoring for Identifying the Behavior of Structures

Methodologies for predicting natural frequency variation of a suspension bridge

Damage mitigation of a near-full-scale deployable tensegrity structure through behavior biomimetics