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The value of structural health monitoring in seismic emergency management of bridges

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TLDR
The management of civil infrastructures in the aftermath of a seismic event is a concern for decision makers, which have to choose quickly among alternative actions with limited knowledge on the ac... as mentioned in this paper.
Abstract
The management of civil infrastructures in the aftermath of a seismic event is a concern for decision makers, which have to choose quickly among alternative actions with limited knowledge on the ac...

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A comprehensive survey on symbiotic organisms search algorithms

TL;DR: This study encourages the researchers and developers of meta-heuristic algorithms to use symbiotic organisms search (SOS), which has been able to solve the majority of engineering issues so far, because it is a simple and powerful algorithm to solve complex and NP-hard problems.
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Digital Twin for Civil Engineering Systems: An Exploratory Review for Distributed Sensing Updating

TL;DR: The present exploratory review covers the key Digital Twin aspects—its usefulness, modus operandi, application, etc.—and proves the suitability of Distributed Sensing as its network sensor component.
Journal ArticleDOI

Quantifying the value of information from inspecting and monitoring engineering systems subject to gradual and shock deterioration

TL;DR: The state of engineering systems changes in time due to the effect of gradual (e.g. corrosion, fatigue) and shock deterioration, such as earthquakes, floods, and tornados as mentioned in this paper.
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Automatic identification of dense damage-sensitive features in civil infrastructure using sparse sensor networks

TL;DR: An integrated algorithm for the identification of dynamic and dense quasi-static structural features exploiting moving vehicles and the definition of a curvature-based damage index leads to accurate localization and quantification of structural anomalies using few sensors.
Journal ArticleDOI

The value of seismic structural health monitoring for post-earthquake building evacuation

TL;DR: In this article , the authors propose a framework for quantifying the benefit of installing a permanent seismic structural health monitoring (S 2 HM) system to support building evacuation operations after a seismic event.
References
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Book

Probability, statistics, and decision for civil engineers

TL;DR: The Manuel Reference Record is used as a source for statistical uncertainty in the area of probabilite estimation and its values can be modified for error-correcting purposes.
Journal ArticleDOI

Applied Statistical Decision Theory.

TL;DR: In this paper, the authors describe the nature of decision problems in drilling for gas and oil, a business situation where uncertainties are exceptionally great, and describe how businessmen actually make drilling decisions in the face of these uncertainties.
Journal ArticleDOI

Probabilistic Capacity Models and Fragility Estimates for Reinforced Concrete Columns based on Experimental Observations

TL;DR: In this article, a methodology to construct probabilistic capacity models of structural components is developed, which properly accounts for aleatory and epistemic uncertainties, and is used to estimate the fragility of a typical bridge column in terms of maximum deformation and shear demands.
Journal ArticleDOI

Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection

TL;DR: In this paper, a dynamic monitoring system was installed in a concrete arch bridge at the city of Porto, in Portugal, in order to evaluate the usefulness of approaches based on modal parameters tracking for structural health monitoring of bridges.
Journal ArticleDOI

Methodology for the development of analytical fragility curves for retrofitted bridges

Abstract: Fragility curves for retrofitted bridges indicate the influence of various retrofit measures on the probability of achieving specified levels of damage. This paper presents an analytical methodology for developing fragility curves for classes of retrofitted bridge systems. The approach captures the impact of retrofit on the vulnerability of multiple components, which to date has not been adequately addressed, and results in a comparison of the system fragility before and after the application of different retrofit measures. Details presented include analytical modeling, uncertainty treatment, impact of retrofit on demand models, capacity estimates, and component and system fragility curves. The findings indicate the importance of evaluating the impact of retrofit not only on the targeted response quantity and component vulnerability but also on the overall bridge fragility. As illustrated by the case study of a retrofitted multi-span continuous (MSC) concrete girder bridge class, a given retrofit measure may have a positive impact on some components, yet no impact or a negative impact on other critical components. Consideration of the fragility based only on individual retrofitted components, without regard for the system, may lead to over-estimation or under-estimation of the impact on the bridge fragility. The proposed methodology provides an opportunity to effectively compare the fragility of the MSC concrete bridge retrofit with a range of different retrofit measures. The most effective retrofit in reducing probable damage for a given intensity is a function of the damage state of interest. Copyright © 2008 John Wiley & Sons, Ltd.
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