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Outputs (110)

Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects (2018)
Journal Article

© The Author(s) 2018. This article presents a probabilistic structural identification of the Tamar bridge using a detailed finite element model. Parameters of the bridge cables initial strain and bearings friction were identified. Effects of temperat... Read More about Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects.

The psychological wellbeing benefits of place engagement during walking in urban environments: A qualitative photo-elicitation study (2018)
Journal Article

© 2018 Elsevier Ltd The psychological wellbeing potential of walking in urban environments has received limited attention from scholars, despite the important public health implications of identifying characteristics of urban settings that support we... Read More about The psychological wellbeing benefits of place engagement during walking in urban environments: A qualitative photo-elicitation study.

Examination of deep root water uptake using anomalies of soil water stable isotopes, depth-controlled isotopic labeling and mixing models (2018)
Journal Article

© 2018 Elsevier B.V. Knowledge on the water uptake depths of vegetation is crucial for understanding water transport processes of the soil-vegetation atmosphere continuum and relevant for many applications (e.g. the estimation of groundwater recharge... Read More about Examination of deep root water uptake using anomalies of soil water stable isotopes, depth-controlled isotopic labeling and mixing models.

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree (2018)
Journal Article

M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches were used to predict oblique load carrying capacity of batter pile groups using 247 laboratory experiments with smooth and rough pile groups. Pile length... Read More about Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree.