Systems Modeling Using Big Data Analysis Techniques and Evidence

Glavind, Sebastian Tølbøll; Sepulveda, Juan G.; Qin, Jianjun; Faber, Michael Havbro

doi:10.1109/icsrs48664.2019.8987667

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…The methodology proposed herein is part of the TSafe project where reliable strategies for the risk assessment of timber structures are used to create decision-making tools useful to every party involved in the construction of timber structures. The purpose of the TSafe project is to combine numerical simulations, such as HAM analyses, with artificial intelligence and machine learning algorithms to extract simple and applicable rules from complex problems solved numerically (see for example Glavind et al, 2019 andFreire et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

A Risk-Based Approach for Quantifying Durability and Life-Expectancy of the Wall-Foundation Construction Detail in Timber Buildings

Gaspari¹,

Giongo²,

Piazza³

2020

XV International Conference on Durability of Building Materials and Components. eBook of Proceedings

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Understanding and predicting the durability of timber structural components of buildings can lead to a more reliable and efficient use of this material in constructions. The work described herein presents a methodology to assess the life-expectancy of wall-foundation details in timber buildings based on the estimation of the durability of the timber structural element. Risk classes were defined starting from the inputs from the most relevant standards addressing the durability of timber available in Europe. The attribution of a risk class to the wall-foundation detail requires decision trees that consider the key aspects that affect the durability of this construction detail in the case of fungal attack. The methodology was then applied to three case studies and the results were compared to the observations from onsite inspections carried out on the decayed structural timber elements. The present work represents the first step towards the development of a tool capable of predicting the durability of timber components within the building structure. The work reported herein was carried out within the framework of the TSafe project.

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Section: Introductionmentioning

confidence: 99%

A Risk-Based Approach for Quantifying Durability and Life-Expectancy of the Wall-Foundation Construction Detail in Timber Buildings

Gaspari¹,

Giongo²,

Piazza³

2020

XV International Conference on Durability of Building Materials and Components. eBook of Proceedings

View full text Add to dashboard Cite

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Value of information analysis in civil and infrastructure engineering: a review

Zhang

Lü

Qin

et al. 2021

J Infrastruct Preserv Resil

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The concept of Value of Information (VoI) has attracted significant attentions within the civil engineering community over especially the last decade. Triggered by the increasing focus on structural health monitoring, availability of data and emerging techniques of Big Data analysis and Artificial Intelligence, important insights on how to take benefit from VoI in structural integrity management have been gained. This literature review starts out with a summary of the historical developments and contains (1) a summary of two different VoI analysis origins, (2) a compilation of existing VoI analyses research and (3) current engineering interpretations and applications of VoI in the field of civil and infrastructure engineering. VoI analysis has roots in communication theory and Bayesian decision analysis in conjunction with utility theory. Starting point is thus taken in brief introduction of these theoretical foundations, followed by a discussion on the relevant modelling aspects such as information, probability and utility modelling. A detailed review of relevant existing research is presented, divided into the following main areas: computational methods, optimal sensor placement and engineering risk management. Finally, by way of conclusion and outlook, challenges and some promising directions for VoI analysis in the field of civil and infrastructure engineering are identified.

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Towards a New Paradigm for Governance and Management of the Built Environment

Faber

2020

IABSE Conference, Seoul 2020: Risk Intelligence of Infrastructures

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Climate change, excessive exploitation of resources, pollution of air and drinking water are just some of the consequences of past societal developments that must be dealt with now and in the future. Identification of new rationales, frameworks and methods in support of sustainable and resilient governance and management of the built environment is more urgent than ever. To meet the challenges of the future, and to ensure continued improvement of global welfare, past best practices must be critically assessed and disruptive changes, by means of organization and technology, must be identified and implemented.In this contribution, starting point is taken in an outline of the critical role of the built environment, in the quest for a sustainable and resilient societal developments. Thereafter, a critical inventory is presented with respect to organizational, procedural and technological - and not least regulatory factors which might be associated with past and present best practices in the governance and management of the built environment. With this basis, potentials for radical improvements in current best practices – a paradigm shift in governance and management of the built environment– through utilization of new and emerging technologies, such as cyber-physical systems, Big Data techniques and Artificial Intelligence, are presented and discussed. To illustrate the ideas and concepts addressed in the presentation, principal examples are provided addressing integrity management of structural and infrastructure systems.

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Systems Modeling Using Big Data Analysis Techniques and Evidence

Cited by 3 publications

References 13 publications

A Risk-Based Approach for Quantifying Durability and Life-Expectancy of the Wall-Foundation Construction Detail in Timber Buildings

A Risk-Based Approach for Quantifying Durability and Life-Expectancy of the Wall-Foundation Construction Detail in Timber Buildings

Value of information analysis in civil and infrastructure engineering: a review

Towards a New Paradigm for Governance and Management of the Built Environment

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