Concept

Hypothetico-deductive model

Related publications (15)

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Ian Smith, Katrin Beyer, Bryan German Pantoja Rosero, Mathias Christian Haindl Carvallo

Image information about the state of a building after an earthquake, which can be collected without endangering the post-earthquake reconnaissance activities, can be used to reduce uncertainties in response predictions for future seismic events. This paper ...

Springer2024

Géohistoire de l'Albanie moderne. Une lecture des recensements de 1918 à 2011.

Alain Nicolas Jarne

In this thesis, an original database is constituted, described and exploited in a geohistorical perspective, containing the registration of the population at the local level for the fifteen censuses conducted in Albania between 1918 and 2011. The precision ...

EPFL2020

Empirical validation of MesoHABSIM models developed with different habitat suitability criteria for bullhead cottus gobio L. as an indicator species

Giovanni De Cesare, Mikolaj Stanislaw Adamczyk, Piotr Parasiewicz

Application of instream habitat models such as the Mesohabitat Simulation Model (MesoHABSIM) is becoming increasingly popular. Such models can predict alteration to a river physical habitat caused by hydropower operation or river training. They are a tool ...

2019

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

Ian Smith, Numa Joy Bertola

Train wheel flats are formed when wheels slip on rails. Crucial for passenger comfort and the safe operation of train systems, early detection and quantification of wheel-flat severity without interrupting railway operations is a desirable and challenging ...

2019

Robust model updating methodology for estimating worst-case load capacity of existing bridges

Ian Smith, Didier Vernay, François-Xavier Favre

High-value infrastructure elements, such as bridges, are typically over-designed. Model-updating techniques are useful for estimating the reserve load capacity (beyond safety factors) of bridges and this improves sustainability through good asset-managemen ...

2018

Continuously Reproducing Toolchains in Pattern Recognition and Machine Learning Experiments

Sébastien Marcel, André Anjos, Tiago De Freitas Pereira, Amir Mohammadi

Pattern recognition and machine learning research work often contains experimental results on real-world data, which corroborates hypotheses and provides a canvas for the development and comparison of new ideas. Results, in this context, are typically summ ...

2017

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

Performance Assessment and Prognosis for Civil Infrastructure Based on Model Falsification Reasoning

Romain Pasquier

Infrastructure facilities are important to the economic growth and quality of life of modern societies. Much infrastructure has been built principally in the second half of the 20th century and several thousand structures are now attaining their design liv ...

EPFL2015

Evaluating modeling uncertainties in the simulation of airflow in cities

Ian Smith, Didier Vernay

Even though computational fluid-dynamics (CFD) has been used to simulate airflow in cities, accurate results are not always obtained because of difficulties related to defining the correct set of values of parameters, including boundary conditions. This pa ...

2013

Improving Remaining-Fatigue-Life Evaluation Using Data Interpretation

Ian Smith, Yves Sylvain Gilles Reuland, Romain Pasquier

This paper presents a methodology that improves fatigue-performance evaluations using model-based data interpretation. The accuracy of stress-range values is essential for quantifying fatigue damage. These values are usually predicted using physics-based m ...

2013

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