1,721,034 research outputs found

    Application of the ECOV method for assessing the load-bearing capacity of existing structures

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    This publication contains the proceedings of the 2nd International Conference on Circularity in the Built Environment (CiBEn2025), held in Tampere, Finland, in September 16–18, 2025. The book includes both abstracts and papers of the contributions presented in the conference, as the authors were given the freedom to choose which type they submitted. All the contributions, except the keynotes, have been peer-reviewed in a double-blind setting by two independent reviewers. In this book, the contributions are listed under each theme in the alphabetical order of the title, so no order of importance is implied. The proceedings have been put together from ‘camera-ready’ files delivered by the authors. Due to this, some discrepancies may appear in the graphical appearance and/or how the content is structured. How to cite this publication as a whole: Huuhka, S. (Ed.). 2025. Circularity in the Built Environment: Proceedings of the 2025 conference held in Tampere, Finland, September 16–18 2025. Tampere: Tampere University. https://doi.org/10.5281/zenodo.17092525 How to cite a contribution in this publication: Author, A. (2025). Title of the contribution. In: Huuhka, S. (Ed.). Circularity in the Built Environment: Proceedings of the 2025 conference held in Tampere, Finland, September 16–18 2025. Tampere: Tampere University. https://doi.org/10.5281/zenodo.17092525Reusing precast concrete for a circular economy. European Commission. award Number:958200. 10.13039/50110000078

    Bayesian performance assessment of existing concrete structures combining different types of information from inspections and monitoring

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    When assessing existing concrete structures, adequate prediction of the time-dependent structural performance is crucial. Unfortunately, degradation processes are associated with large uncertainties and when executing additional investigations and measurements, significant model and measurement uncertainties play a dominant role in the reliability-based performance prediction. Bayesian updating provides a suitable engineering tool to adequately consider and combine available information for updating prediction models, enabling inferences that are difficult or impossible to make with traditional statistical approaches. Among others, uncertainties on degradation parameters and variables in structural reliability calculations can be updated based on combined information from measurements, monitoring, visual inspections and even quality control. Consequently, these updated uncertainties can be taken into account in full-probabilistic structural reliability calculations or partial factors for the structural verification can be adjusted according to the posterior probabilistic models in order to perform an instantaneous or time-dependent structural assessment. In this work, the Bayesian coupling of different types of information into the assessment process is explained, the predictive power of combined information is illustrated and particular challenges for future research developments are pointed out. Finally, an outlook is given on future engineering challenges to integrate such approaches further in the life-cycle assessment of existing structures. ARTICLE HISTORYThe financial support from FWO-Flanders on the Fonds Wetenschappelijk Onderzoek FWO SBO project lifeMACS ‘Multi-layer Bayesian life-cycle Methodology for the Assessment of Existing Concrete Structures’ is highly appreciated (FWO-SBO project S001021N)

    Value of information of static and modal data for a concrete bridge exposed to reinforcement corrosion

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    A lot of infrastructure is ageing and reaching the anticipated service life. Measurements or inspections performed on ageing bridges can provide information on the actual degradation state and hence the remaining capacity of these structures. Nevertheless, these measurements or inspections also come at a cost, whereas the budgets for maintenance and repair are often limited. Based on pre-posterior analyses, the Value of Information (VoI) of these measurements or inspections can be determined on beforehand and the most optimal measuring/inspection strategy can be chosen. However, applying these VoI analyses to real-world structures, considering the time-dependent and spatial character of degradation, can be challenging. In this work, a case study is considered where the VoI analysis is applied to a reinforced concrete girder bridge subjected to corrosion. Different monitoring strategies are considered, and different times of performing the measurements or inspections are evaluated. The influence of some parameters, such as the failure cost and the threshold for performing an action based on the measurement or inspection outcomes, has been investigated. The VoI is evaluated for two cases: one with low exposure (corrosion due to carbonation) and one with high exposure (corrosion due to chlorides). In the first case, the degradation rate is very low, and no repairs are required within the considered time span. Monitoring does not induce an intervention and hence will lead to a negative VoI. In the case of chloride-induced corrosion, a positive VoI is found for some time steps and the VoI reaches a maximum in the considered time span. This could be ascribed to the fact that monitoring triggers an intervention for this situation. In this case, changing the threshold that triggers the intervention will affect the VoI and, consequently, the most optimal measuring/inspection strategy

    Assessment of the corrosion degree of beams subjected to accelerated corrosion based on indirect data

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    In the view of circular construction, there should also be a focus on the assessment of existing structures. Their remaining strength and capacity should be determined, taking into account the degradation over their life-time. Often, only indirect measurement data is available to assess the level of degradation. Previous studies have illustrated how strain data from proof-loading and modal data from vibration tests can be used to estimate the corrosion level of reinforced concrete structures. However, most of these studies are based on virtual measurement data, and the use of real-case data will often be accompanied with additional challenges. To get a better insight in the challenges of real-case data, an experimental campaign has been performed in the Magnel-Vandepitte laboratory at Ghent University. Different real-size reinforced concrete beams have been subjected to accelerated corrosion. They have been subjected to 4-point bending tests and vibration tests. Afterwards, the actual corrosion degree was determined based on the mass loss of the reinforcement. The influence of the corrosion degree on the measurement data has been investigated and a Bayesian inference framework has been adopted to estimate the corrosion degree of these beams from the test results. From these analyses, important conclusions can be drawn towards the use of Bayesian inference for assessment of the corrosion degree on real-case structures

    Investigation on the effect of corrosion on testing data of reinforced concrete beams

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    In light of circular construction, there is a rising need for effective methods to assess the remaining structural capacity of reinforced concrete structures, accounting for degradation mechanisms such as corrosion. Different studies, mostly based on simulations, have illustrated how data from static and dynamic tests can be used to estimate the corrosion level of existing reinforced concrete structures. To get a better insight in the effect of corrosion on real-case data, an experimental campaign has been performed at the Magnel-Vandepitte Laboratory of Ghent University. Different real-size reinforced concrete beams have been subjected to accelerated corrosion, 4-point bending tests and vibration tests. After loading the beams to failure, the actual corrosion degree was determined and the influence of the corrosion degree on the measurement data has been investigated

    Assessment of the corrosion degree of beams subjected to accelerated corrosion based on indirect data

    No full text
    In the view of circular construction, there should also be a focus on the assessment of existing struc-tures. Their remaining strength and capacity should be determined, taking into account the degradation over their life-time. Often, only indirect measurement data is available to assess the level of degradation. Previous studies have illustrated how strain data from proof-loading and modal data from vibration tests can be used to estimate the corrosion level of reinforced concrete structures. However, most of these studies are based on virtual measurement data, and the use of real-case data will often be accompanied with additional challenges. To get a better insight in the challenges of real-case data, an experimental campaign has been performed in the Magnel-Vandepitte laboratory at Ghent University. Different real-size reinforced concrete beams have been subjected to accelerated corrosion. They have been subjected to 4-point bending tests and vibration tests. Afterwards, the actual corrosion degree was determined based on the mass loss of the reinforcement. The influence of the corrosion degree on the measurement data has been investigated and a Bayesian inference framework has been adopted to estimate the corro-sion degree of these beams from the test results. From these analyses, important conclusions can be drawn towards the use of Bayesian inference for assessment of the corrosion degree on real-case struc-tures

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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