scholarly journals Building damage assessment and settlement monitoring in subsidence-affected urban areas: case study in the Netherlands

2020 ◽  
Vol 382 ◽  
pp. 651-656
Author(s):  
Gianfranco Nicodemo ◽  
Dario Peduto ◽  
Settimio Ferlisi
Keyword(s):  
The Netherlands ◽  
Urban Areas ◽  
Damage Assessment ◽  
Building Damage ◽  
Economic Losses ◽  
Integrated Analysis ◽  
Forecasting Models ◽  
Multi Temporal ◽  
Building Behaviour

Abstract. Buildings in subsiding areas may suffer from settlements causing damages of different severity levels with high impact in terms of yearly economic losses. In these contexts, a systematic damage assessment jointly with continuous monitoring of relevant parameters (e.g. settlements exhibited by points located on the roof) can be extremely useful to control the building behaviour and develop forecasting models. In this regard, the paper presents the results of an integrated analysis carried out on a subsidence-affected urban area in the Netherlands where the availability of multi-temporal building damage surveys and a long DInSAR monitoring dataset allowed both retrieving quantitative empirical relationships between the cause (magnitude of the selected intensity parameter, IP) and the effect (recorded damage severity level, DL) and generating empirical fragility and vulnerability curves. The results pointed out the importance of considering the exact dating of the onset of building damage and the corresponding magnitude of the considered IP in the generation of quantitative forecasting models.

scholarly journals Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

2018 ◽  
Vol 10 (2) ◽  
pp. 287 ◽  
Author(s):  
Pietro Milillo ◽  
Giorgia Giardina ◽  
Matthew DeJong ◽  
Daniele Perissin ◽  
Giovanni Milillo
Keyword(s):  
Damage Assessment ◽  
Structural Damage ◽  
Multi Temporal

scholarly journals Assessing flooding impact to riverine bridges: an integrated analysis

2020 ◽  
Author(s):  
Maria Pregnolato ◽  
Andrew O. Winter ◽  
Dakota Mascarenas ◽  
Andrew D. Sen ◽  
Paul Bates ◽  
...  
Keyword(s):  
Urban Areas ◽  
Urban System ◽  
Hydrodynamic Forces ◽  
Integrated Analysis ◽  
Global Changes ◽  
Flood Events ◽  
Goods And Services ◽  
Computational Fluid Dynamics Cfd ◽  
Current Guidance

Abstract. Flood events are the most frequent cause of damage to infrastructure compared to any other natural hazard, and global changes (climate, socio-economic, technological) are likely to increase this damage. Transportation infrastructure systems are responsible for moving people, goods and services, and ensuring connection within and among urban areas. A failed link in this system can impact the community by threatening evacuation capability, recovery operations and the overall economy. Bridges are critical links in the wider urban system since they are associated with little redundancy and a high (re)construction cost. Riverine bridges are particularly prone to failure during flood events; in fact, the risks to bridges from high river flows and bank erosion have been recognized as crucial at global level. The interaction among flow, structure and network is complex, and yet to be fully understood. This study aims to establish rigorous practices of Computational Fluid Dynamics (CFD) for modelling hydrodynamic forces on inundated bridges, and understanding the consequences of such impact on the surrounding network. Objectives of this study are to model hydrodynamic forces as demand on the bridge structure, to advance a reliability analysis of the structure under the modelled loading and to assess the overall impact at systemic level. The flood-prone City of Carlisle (UK) is used as case study and a proof of concept. Implications of the hydrodynamic impact on the performance and functionality of the surrounding transport network are discussed. This research will help to fill the gap between current guidance for design and assessment of bridges within the overall transport system.

scholarly journals Advanced DInSAR analysis for building damage assessment in large urban areas: an application to the city of Roma, Italy

2015 ◽  
Author(s):  
Peppe J. V. D'Aranno ◽  
Maria Marsella ◽  
Silvia Scifoni ◽  
Marianna Scutti ◽  
Alberico Sonnessa ◽  
...  
Keyword(s):  
Urban Areas ◽  
Damage Assessment ◽  
Building Damage ◽  
The City

Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake

2017 ◽  
Vol 12 (sp) ◽  
pp. 646-655 ◽  
Author(s):  
Yanbing Bai ◽  
Bruno Adriano ◽  
Erick Mas ◽  
Shunichi Koshimura ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Building Damage ◽  
2016 Kumamoto Earthquake ◽  
Sar Images ◽  
Kumamoto Earthquake ◽  
Multi Temporal ◽  
Sar Data ◽  
Sar Imagery ◽  
Damage Mapping

Synthetic Aperture Radar (SAR) remote sensing is a useful tool for mapping earthquake-induced building damage. A series of operational methodologies based on SAR data using either multi-temporal or only post-event SAR images have been developed and used to serve disaster activities. This presents a critical problem: which method is more likely to obtain reliable results and should be adopted for disaster response when both pre- and post-event SAR data are available? To explore this question, this study takes the 2016 Kumamoto earthquake as a case study. ALOS-2/PALSAR-2 SAR images were employed with a machine learning framework to quantitatively compare the performance of building damage mapping using only post-event SAR images and mapping using multi-temporal SAR images. The results show that an overall accuracy of 64.5% was achieved when only post-event SAR images were used, which is 2.3% higher than the overall accuracy when multi-temporal SAR images were used. The estimated building damage ratio for the former and the latter are 29.7% and 31.1%, respectively, which are both close to the building damage ratio obtained from an optical image.

Traffic Flow Control in Congested Motorway Networks Using Buffers

1998 ◽  
Vol 1612 (1) ◽  
pp. 34-41
Author(s):  
Patrick T. W. Broeren ◽  
Dirk Westland
Keyword(s):  
The Netherlands ◽  
Flow Control ◽  
Traffic Flow ◽  
Urban Areas ◽  
Cost Effective ◽  
Normal Pattern ◽  
Total Delay ◽  
Design Elements ◽  
Motorway Networks

Around large urban areas, daily recurrent congestion in the form of queueing at bottlenecks is nowadays a normal pattern. Apart from the congestion that directly follows from the capacity deficit at bottlenecks, more and more motorways are affected by a secondary congestion problem due to blocking of motorway exits and entries by long queues that build up upstream of bottlenecks, causing delay to travelers who are not going through the bottleneck. A solution to avoid congestion-induced blockage is the construction of so-called buffer facilities. These are local widenings of the motorway by adding one or more lanes just before a bottleneck. Buffers can shorten queues by an amount that is more than proportional to the number of added lanes. In this way congestion-induced blockage can be avoided and total delay is reduced significantly. Buffers are a cost-effective way to fight motorway congestion. The principles and functioning of buffer facilities are explained. Design elements and criteria as well as calculation of buffer dimensions are considered. Attention is given to the control of traffic flow at the entrance and exit of buffers. This is demonstrated with a case study from the Netherlands.

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