Landslide damage assessment at the intermediate to small scale

Author(s):  
F Palmisano ◽  
C Vitone ◽  
F Cotecchia
2007 ◽  
Vol 01 (03) ◽  
pp. 211-231 ◽  
Author(s):  
C. G. KOH ◽  
M. J. PERRY

After a disaster such as an earthquake has struck, the damage assessment of the affected buildings, bridges and other forms of structures is often urgently required for follow-up action. Research in using system identification for damage assessment in a quantifiable and non-destructive way has rapidly increased in recent years, due to advances in computing power and sensing technology. Though considerable progress has been made, many challenges still remain in achieving robust and effective identification of large structural systems using incomplete and noisy measurement signals. In this paper a novel strategy to tackle this problem is presented. A modified genetic algorithm (GA) strategy incorporating a search space reduction method, progressively and adaptively reduces the search space for each unknown parameter. By concurrent evolution of multiple species, it provides an excellent balance between exploration of the search space and exploitation of good solutions. The modified GA is incorporated into a damage detection strategy that works by comparing identified parameters for the undamaged and damaged structures and quantifies damage as a relative change in the stiffness of a member or a group of members. The additional information obtained from the analysis of the undamaged structure is used to greatly improve speed and accuracy in the identification of the damaged structure. Numerical studies on 10 and 20 degree-of-freedom (DOF) systems and an experimental study of a 7-storey small-scale steel frame are presented to illustrate the applicability of the method in accurately identifying even small amounts of damage.


2022 ◽  
Vol 2161 (1) ◽  
pp. 012001
Author(s):  
Harshit Sharma ◽  
G Sumathi

Abstract The Covid -19 is arguably the biggest pandemic in history and there are a lot of challenges that must be dealt with. One of the biggest challenges post Covid-19 is to tackle quality control challenges. This research paper discusses some of these challenges and solutions using an integrated internet of things (IoT) and internet of protocols (IoP) based approach and further showing its implementation in the industry world and hence, proving to be a solution for damage assessment. With the help of IoT- enabled quality control system, six-sigma rule is also analysed. Post Covid crisis, it is important for every institution to gain back customer trust so quality of materials should be maintained and IoT enables us to do the same. The unification of industrial IoT (IIoT) and industry 4.0 is also discussed as it leads us to understand that this unification is the next evolution of smart manufacturing and digital technologies. This methodology can lead us to accelerated innovation in applications for overcoming the eventual challenges post Covid in the near future. Also, small-scale/large-scale companies making use of the above research methodology can adhere to six-sigma criterion.


2010 ◽  
Vol 26 ◽  
pp. 13-17 ◽  
Author(s):  
O. Petrucci ◽  
A. A. Pasqua ◽  
G. Gullà

Abstract. In this paper, a simplified methodological approach is used to assess damage indices related to landslide phenomena that occurred in Calabria (Italy) between November 2008 and January 2009. This approach, which was designed for and applied to single landslides, uses the Support Analysis Framework (SAF), a procedure containing the elements that can be damaged by a landslide grouped in categories. In this paper, we test wide-ranging use of the SAF on a number of landslides, assessing landslide damage on a municipal scale to get a final estimate of the amount of damage caused by all of the landslides that occurred in a selected municipality. Data regarding the damage caused by landslides were gathered from the press. Daily newspapers were systematically collected and elaborated to assess direct, indirect and intangible damage caused during the abovementioned period by a rainfall-triggered landsliding event. In the paper, regional- and provincial-scale results are described, and the methodological approach is briefly described. The application of the proposed methodological approach to the 2009 landsliding event shows that the results can be used to summarise landslide damage from a complex event in order to better plan an intervention strategy at a regional, provincial or municipal scale. The availability of newspaper data during the event and the speed of the proposed approach allow for rapid location of the damaged sectors during the event, which will continuously upgrade the regional damage framework. This can all be done almost in "real time". For regional agencies, this framework can be a starting point to both manage the emergency and to acquire and interpret data giving a more detailed damage distribution so that a response can be organised. Moreover, based on the damage assessment, a characterisation of the landsliding event can also be carried out and used to describe the damage scenario occurring after each type of event.


2016 ◽  
Vol 161 ◽  
pp. 511-515 ◽  
Author(s):  
Fabrizio Palmisano ◽  
Claudia Vitone ◽  
Federica Cotecchia

2021 ◽  
Author(s):  
C. Ferrero ◽  
L. Cambiaggi ◽  
A. Fenialdi ◽  
P. Roca ◽  
R. Vecchiattini ◽  
...  

2021 ◽  
Author(s):  
Fabrizio Palmisano ◽  
Claudia Vitone ◽  
Federica Cotecchia ◽  
Francesca Santaloia ◽  
Dario Peduto ◽  
...  

<p>This paper presents some results of a multidisciplinary research about the assessment of damages to ordinary buildings at the urban scale in landslide areas. The methodology represents part of a multi-level approach for landslide vulnerability assessment that has been recently developed. It is based on rapid visual inspections of the buildings, the application of ‘simple models’ to interpret the structural response, the geological and geotechnical knowledge of the site. The end-product is the landslide damage geotechnical chart, including: i) the damage grade of the buildings, ii) the geomorphological and geotechnical map of the area, iii) the direction of the settlements causing damages. The application of the methodology to an historical site in southern Italy is also outlined. Finally, the contribution of innovative non-invasive spaceborne remote sensing techniques to monitor landslide-affected urban areas is highlighted.</p>


1974 ◽  
Vol 28 (2) ◽  
pp. 167-170 ◽  
Author(s):  
Peter A. Murtha

Sulphur dioxide fumes have been affecting the forests around Wawa, Ontario, which have been under surveillance for a. number of years and which were recently covered by ultra-small-scale (1:160,000) air photography for damage-assessment purposes. Selected as a Canadian Forestry Service ERTS-1 test site, the area was imaged on four successive ERTS-1 passes during the summer of 1973. Interpretation supported by electronic color enhancement was used to delineate, on ERTS imagery, three damage zones: total-kill, heavy-kill and medium-damage zones. The zones delineated are similar to the results of aerial sketch mapping and airphoto interpretation. Band 5 provided the greatest detail for assessing the damage to the forests, followed by bands 4, 6 and 7. Comparison with winter ERTS images showed that even though the total kill could be separated from heavy-kill damage zoned, total kill could not be consistently separated from clear-cut logging, burned areas, frozen lakes and bogs.


2019 ◽  
Vol 42 ◽  
Author(s):  
William Buckner ◽  
Luke Glowacki

Abstract De Dreu and Gross predict that attackers will have more difficulty winning conflicts than defenders. As their analysis is presumed to capture the dynamics of decentralized conflict, we consider how their framework compares with ethnographic evidence from small-scale societies, as well as chimpanzee patterns of intergroup conflict. In these contexts, attackers have significantly more success in conflict than predicted by De Dreu and Gross's model. We discuss the possible reasons for this disparity.


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