structural evaluation
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Author(s):  
Oranich Thongsri ◽  
Sawitri Srisuwan ◽  
Paritat Thaitalay ◽  
Rawee Dangwiriyakul ◽  
Prasert Aengchuan ◽  
...  

2022 ◽  
Vol 250 ◽  
pp. 113392
Author(s):  
Ali Raza ◽  
Mohamed Hechmi El Ouni ◽  
Liaqat Ali ◽  
Muhammad Awais ◽  
Babar Ali ◽  
...  

2021 ◽  
Author(s):  
Luiz Paulo Feijo ◽  
Suqin Wang ◽  
Christiane Machado

Abstract This paper focuses on Floating Production Installations, which are assets designed based on site-specific environmental conditions to determine their design service life. The longevity of these assets depends on the fatigue aspects related to the structural elements and mooring systems. Among the challenges involving the continued services of ageing assets is the integrity of these elements. When an asset reaches its end of design service life, Operators often decide to undergo a life extension process for safe continued operations. Alife extension process generally includes three phases: investigation, determination and implementation. Following a baseline inspection to determine the present conditions of the structures, engineering assessments are to be carried out to evaluate the fatigue damage through the lifecycle of the installation and therefore determine the remaining fatigue life. Collecting information to execute these assessments is challenging and can be automated with the use of digital technology. Digital tools allow an accurate collection of data, providing a continuous evaluation of the remaining fatigue life and supporting an informed decision-making process. Observing the operation of several aging assets and their structural behaviour, the parameters to be measured during the installation's lifecycle have been identified along with other aspects that also contribute to the determination of its continued service. The recommended data acquisition for relevant measurements is summarized in this paper. The application of sensors and monitoring systems on the installations allows measuring these parameters on a continuous basis, and consequently, Operators are able to determine the degradation pattern that the structure is subject to. An estimation of the remaining fatigue life can be achieved by using predictive analysis, which, along with insights of the future expected corrosion, provides Operators the necessary basis to implement corrective measures and mitigations to avoid the occurrence of a failure. This paper offers an innovative, forward-looking technology that allies physics-based processes with digital technology, supported by predictive analytics and continuous structural evaluation, to assess the integrity of an offshore asset in support of safe continued services.


2021 ◽  
pp. 1443-1454
Author(s):  
Toshikazu Hanazato ◽  
Hiroyuki Tanaka ◽  
Yasufumi Uekita ◽  
Yoyok Subroto

2021 ◽  
pp. 828-838
Author(s):  
Kasim A. Korkmaz ◽  
Saadet Toker Beeson

Author(s):  
Can Ebru Bekircan-Kurt ◽  
Ezgi Yilmaz ◽  
Doruk Arslan ◽  
Fatma Gokcem Yildiz ◽  
Özlem Dikmetas ◽  
...  

2021 ◽  
Vol 13 (21) ◽  
pp. 12289
Author(s):  
Sevasti Chalkidou ◽  
Apostolos Arvanitis ◽  
Petros Patias ◽  
Charalampos Georgiadis

UNESCO and the United Nations have recently identified cultural heritage (CH) as a key enabler of sustainability by incorporating it into several Sustainable Development Goals (SDGs). Accurate and efficient reporting on CH is considered fundamental despite known limitations due to the lack of sufficient and harmonized data. This paper presents a spatially enabled web application for urban CH monitoring for the city of Thessaloniki in Northern Greece. The objective was to integrate the information provided by several independent public registries on CH into a common 2D mapping and reporting platform and to enrich it with additional data provided by other built environment agencies. An estimation of the expected cost for the structural evaluation by experts of the city’s CH assets was also implemented for SDG’s Indicator 11.4.1. The methodology involved stakeholder identification, data collection and pre-processing, field verification and documentation, calculation of Indicator 11.4.1, and the actual coding process. The application can be found online, providing useful insights and statistical information on the city’s heritage in a dashboard format. The key challenges included the lack of updated data, the existence of several individual registries, and the need for regular field inspection due to the rapidly changing urban fabric.


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